46 results on '"Driedonks TAP"'
Search Results
2. Library Preparation for small RNA sequencing using 4N adapters: In house 4N Protocol C
- Author
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Alexander, Roger P, Giraldez, MD, Spengler, RM, Etheridge, A, Godoy, PM, Barczak, AJ, Srinivasan, S, De Hoff, PL, Tanriverdi, K, Courtright, A, Lu, S, Khoory, J, Rubio, R, Baxter, D, Driedonks, TAP, Buermans, HPJ, Nolte-t Hoen, ENM, Jiang, H, Wang, K, Ghiran, I, Wang, Y, Van Keuren-Jensen, K, Freedman, JE, Woodruff, PG, Laurent, LC, Erle, DJ, Galas, DJ, and Tewari, M
- Published
- 2023
3. Library Preparation for small RNA sequencing using 4N adapters: In house 4N Protocol B
- Author
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Alexander, Roger P, Giraldez, MD, Spengler, RM, Etheridge, A, Godoy, PM, Barczak, AJ, Srinivasan, S, De Hoff, PL, Tanriverdi, K, Courtright, A, Lu, S, Khoory, J, Rubio, R, Baxter, D, Driedonks, TAP, Buermans, HPJ, Nolte-t Hoen, ENM, Jiang, H, Wang, K, Ghiran, I, Wang, Y, Van Keuren-Jensen, K, Freedman, JE, Woodruff, PG, Laurent, LC, Erle, DJ, Galas, DJ, and Tewari, M
- Published
- 2023
4. Library Preparation for small RNA sequencing using 4N adapters: In house 4N Protocol A
- Author
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Alexander, Roger P, Giraldez, MD, Spengler, RM, Etheridge, A, Godoy, PM, Barczak, AJ, Srinivasan, S, De Hoff, PL, Tanriverdi, K, Courtright, A, Lu, S, Khoory, J, Rubio, R, Baxter, D, Driedonks, TAP, Buermans, HPJ, Nolte-t Hoen, ENM, Jiang, H, Wang, K, Ghiran, I, Wang, Y, Van Keuren-Jensen, K, Freedman, JE, Woodruff, PG, Laurent, LC, Erle, DJ, Galas, DJ, and Tewari, M
- Published
- 2023
5. Library Preparation for small RNA sequencing using 4N adapters: In house 4N Protocol A
- Author
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Alexander, Roger P, Giraldez, MD, Spengler, RM, Etheridge, A, Godoy, PM, Barczak, AJ, Srinivasan, S, De Hoff, PL, Tanriverdi, K, Courtright, A, Lu, S, Khoory, J, Rubio, R, Baxter, D, Driedonks, TAP, Buermans, HPJ, Nolte-t Hoen, ENM, Jiang, H, Wang, K, Ghiran, I, Wang, Y, Van Keuren-Jensen, K, Freedman, JE, Woodruff, PG, Laurent, LC, Erle, DJ, Galas, DJ, and Tewari, M
- Published
- 2018
6. Library Preparation for small RNA sequencing using 4N adapters: In house 4N Protocol C
- Author
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Alexander, Roger P, Giraldez, MD, Spengler, RM, Etheridge, A, Godoy, PM, Barczak, AJ, Srinivasan, S, De Hoff, PL, Tanriverdi, K, Courtright, A, Lu, S, Khoory, J, Rubio, R, Baxter, D, Driedonks, TAP, Buermans, HPJ, Nolte-t Hoen, ENM, Jiang, H, Wang, K, Ghiran, I, Wang, Y, Van Keuren-Jensen, K, Freedman, JE, Woodruff, PG, Laurent, LC, Erle, DJ, Galas, DJ, and Tewari, M
- Published
- 2018
7. Modified TruSeq Small RNA Library Prep using Randomized 4N Adapters: In house 4N Protocol D
- Author
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Alexander, Roger P, Giraldez, MD, Spengler, RM, Etheridge, A, Godoy, PM, Barczak, AJ, Srinivasan, S, De Hoff, PL, Tanriverdi, K, Courtright, A, Lu, S, Khoory, J, Rubio, R, Baxter, D, Driedonks, TAP, Buermans, HPJ, Nolte-t Hoen, ENM, Jiang, H, Wang, K, Ghiran, I, Wang, Y, Van Keuren-Jensen, K, Freedman, JE, Woodruff, PG, Laurent, LC, Erle, DJ, Galas, DJ, and Tewari, M
- Published
- 2018
8. Library Preparation for small RNA sequencing using 4N adapters: In house 4N Protocol B
- Author
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Alexander, Roger P, Giraldez, MD, Spengler, RM, Etheridge, A, Godoy, PM, Barczak, AJ, Srinivasan, S, De Hoff, PL, Tanriverdi, K, Courtright, A, Lu, S, Khoory, J, Rubio, R, Baxter, D, Driedonks, TAP, Buermans, HPJ, Nolte-t Hoen, ENM, Jiang, H, Wang, K, Ghiran, I, Wang, Y, Van Keuren-Jensen, K, Freedman, JE, Woodruff, PG, Laurent, LC, Erle, DJ, Galas, DJ, and Tewari, M
- Published
- 2018
9. Systematic assessment of next generation sequencing for quantitative small RNA profiling: a multiple protocol study across multiple laboratories
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Giraldez, MD, Spengler, RM, Etheridge, A, Godoy, PM, Barczak, AJ, Srinivasan, S, De Hoff, PL, Tanriverdi, K, Courtright, A, Lu, S, Khoory, J, Rubio, R, Baxter, D, Driedonks, TAP, Buermans, HPJ, Nolte-‘t Hoen, ENM, Jiang, H, Wang, K, Ghiran, I, Wang, Y, Van Keuren-Jensen, K, Freedman, JE, Woodruff, PG, Laurent, LC, Erle, DJ, Galas, DJ, and Tewari, M
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Genetics ,Human Genome ,Generic health relevance - Abstract
Small RNA-seq is increasingly being used for profiling of small RNAs. Quantitative characteristics of long RNA-seq have been extensively described, but small RNA-seq involves fundamentally different methods for library preparation, with distinct protocols and technical variations that have not been fully and systematically studied. We report here the results of a study using common references (synthetic RNA pools of defined composition, as well as plasma-derived RNA) to evaluate the accuracy, reproducibility and bias of small RNA-seq library preparation for five distinct protocols and across nine different laboratories. We observed protocol-specific and sequence-specific bias, which was ameliorated using adapters for ligation with randomized end-nucleotides, and computational correction factors. Despite this technical bias, relative quantification using small RNA-seq was remarkably accurate and reproducible, even across multiple laboratories using different methods. These results provide strong evidence for the feasibility of reproducible cross-laboratory small RNA-seq studies, even those involving analysis of data generated using different protocols.
- Published
- 2017
10. Systematic assessment of next generation sequencing for quantitative small RNA profiling: a multiple protocol study across multiple laboratories
- Author
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Giraldez, Spengler, RM, Etheridge, A, Godoy, PM, Barczak, AJ, Srinivasan, S, De Hoff, PL, Tanriverdi, K, Courtright, A, Lu, S, Khoory, J, Rubio, R, Baxter, D, Driedonks, TAP, Buermans, HPJ, Hoen, ENM Nolte-t, Jiang, H, Wang, K, Ghiran, I, Wang, Y, Van Keuren-Jensen, K, Freedman, JE, Woodruff, PG, Laurent, LC, Erle, DJ, Galas, DJ, and Tewari, M
- Subjects
Genetics ,Human Genome ,Generic health relevance - Abstract
Small RNA-seq is increasingly being used for profiling of small RNAs. Quantitative characteristics of long RNA-seq have been extensively described, but small RNA-seq involves fundamentally different methods for library preparation, with distinct protocols and technical variations that have not been fully and systematically studied. We report here the results of a study using common references (synthetic RNA pools of defined composition, as well as plasma-derived RNA) to evaluate the accuracy, reproducibility and bias of small RNA-seq library preparation for five distinct protocols and across nine different laboratories. We observed protocol-specific and sequence-specific bias, which was ameliorated using adapters for ligation with randomized end-nucleotides, and computational correction factors. Despite this technical bias, relative quantification using small RNA-seq was remarkably accurate and reproducible, even across multiple laboratories using different methods. These results provide strong evidence for the feasibility of reproducible cross-laboratory small RNA-seq studies, even those involving analysis of data generated using different protocols.
- Published
- 2017
11. Minimal information for studies of extracellular vesicles (MISEV2023): From basic to advanced approaches.
- Author
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Welsh, JA, Goberdhan, DCI, O'Driscoll, L, Buzas, EI, Blenkiron, C, Bussolati, B, Cai, H, Di Vizio, D, Driedonks, TAP, Erdbrügger, U, Falcon-Perez, JM, Fu, Q-L, Hill, AF, Lenassi, M, Lim, SK, Mahoney, MG, Mohanty, S, Möller, A, Nieuwland, R, Ochiya, T, Sahoo, S, Torrecilhas, AC, Zheng, L, Zijlstra, A, Abuelreich, S, Bagabas, R, Bergese, P, Bridges, EM, Brucale, M, Burger, D, Carney, RP, Cocucci, E, Crescitelli, R, Hanser, E, Harris, AL, Haughey, NJ, Hendrix, A, Ivanov, AR, Jovanovic-Talisman, T, Kruh-Garcia, NA, Ku'ulei-Lyn Faustino, V, Kyburz, D, Lässer, C, Lennon, KM, Lötvall, J, Maddox, AL, Martens-Uzunova, ES, Mizenko, RR, Newman, LA, Ridolfi, A, Rohde, E, Rojalin, T, Rowland, A, Saftics, A, Sandau, US, Saugstad, JA, Shekari, F, Swift, S, Ter-Ovanesyan, D, Tosar, JP, Useckaite, Z, Valle, F, Varga, Z, van der Pol, E, van Herwijnen, MJC, Wauben, MHM, Wehman, AM, Williams, S, Zendrini, A, Zimmerman, AJ, MISEV Consortium, Théry, C, Witwer, KW, Welsh, JA, Goberdhan, DCI, O'Driscoll, L, Buzas, EI, Blenkiron, C, Bussolati, B, Cai, H, Di Vizio, D, Driedonks, TAP, Erdbrügger, U, Falcon-Perez, JM, Fu, Q-L, Hill, AF, Lenassi, M, Lim, SK, Mahoney, MG, Mohanty, S, Möller, A, Nieuwland, R, Ochiya, T, Sahoo, S, Torrecilhas, AC, Zheng, L, Zijlstra, A, Abuelreich, S, Bagabas, R, Bergese, P, Bridges, EM, Brucale, M, Burger, D, Carney, RP, Cocucci, E, Crescitelli, R, Hanser, E, Harris, AL, Haughey, NJ, Hendrix, A, Ivanov, AR, Jovanovic-Talisman, T, Kruh-Garcia, NA, Ku'ulei-Lyn Faustino, V, Kyburz, D, Lässer, C, Lennon, KM, Lötvall, J, Maddox, AL, Martens-Uzunova, ES, Mizenko, RR, Newman, LA, Ridolfi, A, Rohde, E, Rojalin, T, Rowland, A, Saftics, A, Sandau, US, Saugstad, JA, Shekari, F, Swift, S, Ter-Ovanesyan, D, Tosar, JP, Useckaite, Z, Valle, F, Varga, Z, van der Pol, E, van Herwijnen, MJC, Wauben, MHM, Wehman, AM, Williams, S, Zendrini, A, Zimmerman, AJ, MISEV Consortium, Théry, C, and Witwer, KW
- Abstract
Extracellular vesicles (EVs), through their complex cargo, can reflect the state of their cell of origin and change the functions and phenotypes of other cells. These features indicate strong biomarker and therapeutic potential and have generated broad interest, as evidenced by the steady year-on-year increase in the numbers of scientific publications about EVs. Important advances have been made in EV metrology and in understanding and applying EV biology. However, hurdles remain to realising the potential of EVs in domains ranging from basic biology to clinical applications due to challenges in EV nomenclature, separation from non-vesicular extracellular particles, characterisation and functional studies. To address the challenges and opportunities in this rapidly evolving field, the International Society for Extracellular Vesicles (ISEV) updates its 'Minimal Information for Studies of Extracellular Vesicles', which was first published in 2014 and then in 2018 as MISEV2014 and MISEV2018, respectively. The goal of the current document, MISEV2023, is to provide researchers with an updated snapshot of available approaches and their advantages and limitations for production, separation and characterisation of EVs from multiple sources, including cell culture, body fluids and solid tissues. In addition to presenting the latest state of the art in basic principles of EV research, this document also covers advanced techniques and approaches that are currently expanding the boundaries of the field. MISEV2023 also includes new sections on EV release and uptake and a brief discussion of in vivo approaches to study EVs. Compiling feedback from ISEV expert task forces and more than 1000 researchers, this document conveys the current state of EV research to facilitate robust scientific discoveries and move the field forward even more rapidly.
- Published
- 2024
12. Relationships of APOE Genotypes with Small RNA and Protein Cargo of Brain Tissue Extracellular Vesicles from Patients with Late-Stage AD
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Huang, Y, Driedonks, TAP, Sim, Lesley, Rajapaksha, Kolin, Turchinovich, A, Routenberg, DA, Nagaraj, R, Redding-Ochoa, J, Arab, T, Powell, BH, Pletnikova, O, Troncoso, JC, Zheng, L, Hill, Andrew, Mahairaki, V, and Witwer, KW
- Subjects
FOS: Biological sciences ,FOS: Clinical medicine ,Genetics ,Neurosciences ,Clinical sciences - Abstract
Background and Objectives: Variants of the apolipoprotein E (APOE) gene are the greatest known risk factors for sporadic Alzheimer disease (AD). Three major APOE isoform alleles, ϵ2, ϵ3, and ϵ4, encode and produce proteins that differ by only 1-2 amino acids but have different binding partner interactions. Whereas APOE ϵ2 is protective against AD relative to ϵ3, ϵ4 is associated with an increased risk for AD development. However, the role of APOE in gene regulation in AD pathogenesis has remained largely undetermined. Extracellular vesicles (EVs) are lipid bilayer-delimited particles released by cells to dispose of unwanted materials and mediate intercellular communication, and they are implicated in AD pathophysiology. Brain-derived EVs (bdEVs) could act locally in the tissue and reflect cellular changes. To reveal whether APOE genotype affects EV components in AD brains, bdEVs were separated from patients with AD with different APOE genotypes for parallel small RNA and protein profile. Methods: bdEVs from late-stage AD brains (BRAAK stages 5-6) from patients with APOE genotypes ϵ2/3 (n = 5), ϵ3/3 (n = 5), ϵ3/4 (n = 6), and ϵ4/4 (n = 6) were separated using our published protocol into a 10,000g pelleted extracellular fraction (10K) and a further purified EV fraction. Counting, sizing, and multiomic characterization by small RNA sequencing and proteomic analysis were performed for 10K, EVs, and source tissue. Results: Comparing APOE genotypes, no significant differences in bdEV total particle concentration or morphology were observed. Overall small RNA and protein profiles of 10K, EVs, and source tissue also did not differ substantially between different APOE genotypes. However, several differences in individual RNAs (including miRNAs and tRNAs) and proteins in 10K and EVs were observed when comparing the highest and lowest risk groups (ϵ4/4 and ϵ2/3). Bioinformatic analysis and previous publications indicate a potential regulatory role of these molecules in AD. Discussion: For patients with late-stage AD in this study, only a few moderate differences were observed for small RNA and protein profiles between APOE genotypes. Among these, several newly identified 10K and EV-associated molecules may play roles in AD progression. Possibly, larger genotype-related differences exist and are more apparent in or before earlier disease stages.
- Published
- 2023
- Full Text
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13. Library Preparation for small RNA sequencing using 4N adapters: In house 4N Protocol B
- Author
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Alexander, Roger P, Alexander, Roger P, Giraldez, MD, Spengler, RM, Etheridge, A, Godoy, PM, Barczak, AJ, Srinivasan, S, De Hoff, PL, Tanriverdi, K, Courtright, A, Lu, S, Khoory, J, Rubio, R, Baxter, D, Driedonks, TAP, Buermans, HPJ, Nolte-t Hoen, ENM, Jiang, H, Wang, K, Ghiran, I, Wang, Y, Van Keuren-Jensen, K, Freedman, JE, Woodruff, PG, Laurent, LC, Erle, DJ, Galas, DJ, Tewari, M, Alexander, Roger P, Alexander, Roger P, Giraldez, MD, Spengler, RM, Etheridge, A, Godoy, PM, Barczak, AJ, Srinivasan, S, De Hoff, PL, Tanriverdi, K, Courtright, A, Lu, S, Khoory, J, Rubio, R, Baxter, D, Driedonks, TAP, Buermans, HPJ, Nolte-t Hoen, ENM, Jiang, H, Wang, K, Ghiran, I, Wang, Y, Van Keuren-Jensen, K, Freedman, JE, Woodruff, PG, Laurent, LC, Erle, DJ, Galas, DJ, and Tewari, M
- Published
- 2022
14. Library Preparation for small RNA sequencing using 4N adapters: In house 4N Protocol C
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Alexander, Roger P, Alexander, Roger P, Giraldez, MD, Spengler, RM, Etheridge, A, Godoy, PM, Barczak, AJ, Srinivasan, S, De Hoff, PL, Tanriverdi, K, Courtright, A, Lu, S, Khoory, J, Rubio, R, Baxter, D, Driedonks, TAP, Buermans, HPJ, Nolte-t Hoen, ENM, Jiang, H, Wang, K, Ghiran, I, Wang, Y, Van Keuren-Jensen, K, Freedman, JE, Woodruff, PG, Laurent, LC, Erle, DJ, Galas, DJ, Tewari, M, Alexander, Roger P, Alexander, Roger P, Giraldez, MD, Spengler, RM, Etheridge, A, Godoy, PM, Barczak, AJ, Srinivasan, S, De Hoff, PL, Tanriverdi, K, Courtright, A, Lu, S, Khoory, J, Rubio, R, Baxter, D, Driedonks, TAP, Buermans, HPJ, Nolte-t Hoen, ENM, Jiang, H, Wang, K, Ghiran, I, Wang, Y, Van Keuren-Jensen, K, Freedman, JE, Woodruff, PG, Laurent, LC, Erle, DJ, Galas, DJ, and Tewari, M
- Published
- 2022
15. Modified TruSeq Small RNA Library Prep using Randomized 4N Adapters: In house 4N Protocol D
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Alexander, Roger P, Alexander, Roger P, Giraldez, MD, Spengler, RM, Etheridge, A, Godoy, PM, Barczak, AJ, Srinivasan, S, De Hoff, PL, Tanriverdi, K, Courtright, A, Lu, S, Khoory, J, Rubio, R, Baxter, D, Driedonks, TAP, Buermans, HPJ, Nolte-t Hoen, ENM, Jiang, H, Wang, K, Ghiran, I, Wang, Y, Van Keuren-Jensen, K, Freedman, JE, Woodruff, PG, Laurent, LC, Erle, DJ, Galas, DJ, Tewari, M, Alexander, Roger P, Alexander, Roger P, Giraldez, MD, Spengler, RM, Etheridge, A, Godoy, PM, Barczak, AJ, Srinivasan, S, De Hoff, PL, Tanriverdi, K, Courtright, A, Lu, S, Khoory, J, Rubio, R, Baxter, D, Driedonks, TAP, Buermans, HPJ, Nolte-t Hoen, ENM, Jiang, H, Wang, K, Ghiran, I, Wang, Y, Van Keuren-Jensen, K, Freedman, JE, Woodruff, PG, Laurent, LC, Erle, DJ, Galas, DJ, and Tewari, M
- Published
- 2022
16. Library Preparation for small RNA sequencing using 4N adapters: In house 4N Protocol A
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Alexander, Roger P, Alexander, Roger P, Giraldez, MD, Spengler, RM, Etheridge, A, Godoy, PM, Barczak, AJ, Srinivasan, S, De Hoff, PL, Tanriverdi, K, Courtright, A, Lu, S, Khoory, J, Rubio, R, Baxter, D, Driedonks, TAP, Buermans, HPJ, Nolte-t Hoen, ENM, Jiang, H, Wang, K, Ghiran, I, Wang, Y, Van Keuren-Jensen, K, Freedman, JE, Woodruff, PG, Laurent, LC, Erle, DJ, Galas, DJ, Tewari, M, Alexander, Roger P, Alexander, Roger P, Giraldez, MD, Spengler, RM, Etheridge, A, Godoy, PM, Barczak, AJ, Srinivasan, S, De Hoff, PL, Tanriverdi, K, Courtright, A, Lu, S, Khoory, J, Rubio, R, Baxter, D, Driedonks, TAP, Buermans, HPJ, Nolte-t Hoen, ENM, Jiang, H, Wang, K, Ghiran, I, Wang, Y, Van Keuren-Jensen, K, Freedman, JE, Woodruff, PG, Laurent, LC, Erle, DJ, Galas, DJ, and Tewari, M
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- 2022
17. Comprehensive multi-center assessment of accuracy, reproducibility and bias of small RNA-seq methods for quantitative miRNA profiling
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Giraldez, MD, Spengler, RM, Etheridge, A, Godoy, PM, Barczak, AJ, Srinivasan, S, De Hoff, PL, Tanriverdi, K, Courtright, A, Lu, S, Khoory, J, Rubio, R, Baxter, D, Driedonks, TAP, Buermans, HPJ, Nolte-‘t Hoen, ENM, Jiang, H, Wang, K, Ghiran, I, Wang, Y, Van Keuren-Jensen, K, Freedman, JE, Woodruff, PG, Laurent, LC, Erle, DJ, Galas, DJ, and Tewari, M
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MicroRNAs ,Adenosine ,Sequence Analysis, RNA ,Humans ,Reproducibility of Results ,RNA Editing ,Reference Standards ,Article ,Inosine - Abstract
RNA-seq is increasingly employed for quantitative profiling of small RNAs (e.g., microRNAs, piRNAs, snoRNAs) in diverse sample types including isolated cells, tissues and cell-free biofluids. The accuracy and reproducibility of the multiple small RNA-seq library preparation methods in use, however, have not been systematically assessed. We report systematic results obtained by a consortium of nine labs that independently sequenced reference, ‘ground truth’, samples of synthetic small RNAs and human plasma-derived RNA. Three commercially available library preparation methods employing adapters of defined sequence and six methods using adapters with degenerate bases were assessed. Both protocol- and sequence-specific biases were identified, including biases that reduce the ability of small RNA-seq to accurately measure adenosine-to-inosine editing in microRNAs. We report that these biases were mitigated by library preparation methods that incorporate adapters with degenerate bases. MicroRNA relative quantification between samples using small RNA-seq was found to be accurate and reproducible across laboratories and methods.
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- 2018
18. Minimal information for studies of extracellular vesicles 2018 (MISEV2018): a position statement of the International Society for Extracellular Vesicles and update of the MISEV2014 guidelines
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Théry, C, Witwer, KW, Aikawa, E, Alcaraz, MJ, Anderson, JD, Andriantsitohaina, R, Antoniou, A, Arab, T, Archer, F, Atkin-Smith, GK, Ayre, DC, Bach, JM, Bachurski, D, Baharvand, H, Balaj, L, Baldacchino, S, Bauer, NN, Baxter, AA, Bebawy, M, Beckham, C, Bedina Zavec, A, Benmoussa, A, Berardi, AC, Bergese, P, Bielska, E, Blenkiron, C, Bobis-Wozowicz, S, Boilard, E, Boireau, W, Bongiovanni, A, Borràs, FE, Bosch, S, Boulanger, CM, Breakefield, X, Breglio, AM, Brennan, M, Brigstock, DR, Brisson, A, Broekman, MLD, Bromberg, JF, Bryl-Górecka, P, Buch, S, Buck, AH, Burger, D, Busatto, S, Buschmann, D, Bussolati, B, Buzás, EI, Byrd, JB, Camussi, G, Carter, DRF, Caruso, S, Chamley, LW, Chang, YT, Chaudhuri, AD, Chen, C, Chen, S, Cheng, L, Chin, AR, Clayton, A, Clerici, SP, Cocks, A, Cocucci, E, Coffey, RJ, Cordeiro-da-Silva, A, Couch, Y, Coumans, FAW, Coyle, B, Crescitelli, R, Criado, MF, D’Souza-Schorey, C, Das, S, de Candia, P, De Santana, EF, De Wever, O, del Portillo, HA, Demaret, T, Deville, S, Devitt, A, Dhondt, B, Di Vizio, D, Dieterich, LC, Dolo, V, Dominguez Rubio, AP, Dominici, M, Dourado, MR, Driedonks, TAP, Duarte, FV, Duncan, HM, Eichenberger, RM, Ekström, K, EL Andaloussi, S, Elie-Caille, C, Erdbrügger, U, Falcón-Pérez, JM, Fatima, F, Fish, JE, Flores-Bellver, M, Försönits, A, Frelet-Barrand, A, and HIPS, Helmholtz-Institut für Pharmazeutische Forschung Saarland, Universitätscampus E8.1 66123 Saarbrücken, Germany.
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ectosomes ,microparticles ,standardization ,minimal information requirements ,exosomes ,guidelines ,Biochemistry and Cell Biology ,extracellular vesicles ,microvesicles ,reproducibility ,rigor - Abstract
© 2018, © 2018 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group on behalf of The International Society for Extracellular Vesicles. The last decade has seen a sharp increase in the number of scientific publications describing physiological and pathological functions of extracellular vesicles (EVs), a collective term covering various subtypes of cell-released, membranous structures, called exosomes, microvesicles, microparticles, ectosomes, oncosomes, apoptotic bodies, and many other names. However, specific issues arise when working with these entities, whose size and amount often make them difficult to obtain as relatively pure preparations, and to characterize properly. The International Society for Extracellular Vesicles (ISEV) proposed Minimal Information for Studies of Extracellular Vesicles (“MISEV”) guidelines for the field in 2014. We now update these “MISEV2014” guidelines based on evolution of the collective knowledge in the last four years. An important point to consider is that ascribing a specific function to EVs in general, or to subtypes of EVs, requires reporting of specific information beyond mere description of function in a crude, potentially contaminated, and heterogeneous preparation. For example, claims that exosomes are endowed with exquisite and specific activities remain difficult to support experimentally, given our still limited knowledge of their specific molecular machineries of biogenesis and release, as compared with other biophysically similar EVs. The MISEV2018 guidelines include tables and outlines of suggested protocols and steps to follow to document specific EV-associated functional activities. Finally, a checklist is provided with summaries of key points.
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- 2019
19. Minimal information for studies of extracellular vesicles 2018 (MISEV2018): a position statement of the International Society for Extracellular Vesicles and update of the MISEV2014 guidelines
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Thery, C, Witwer, KW, Aikawa, E, Jose Alcaraz, M, Anderson, JD, Andriantsitohaina, R, Antoniou, A, Arab, T, Archer, F, Atkin-Smith, GK, Ayre, DC, Bach, J-M, Bachurski, D, Baharvand, H, Balaj, L, Baldacchino, S, Bauer, NN, Baxter, AA, Bebawy, M, Beckham, C, Zavec, AB, Benmoussa, A, Berardi, AC, Bergese, P, Bielska, E, Blenkiron, C, Bobis-Wozowicz, S, Boilard, E, Boireau, W, Bongiovanni, A, Borras, FE, Bosch, S, Boulanger, CM, Breakefield, X, Breglio, AM, Brennan, MA, Brigstock, DR, Brisson, A, Broekman, MLD, Bromberg, JF, Bryl-Gorecka, P, Buch, S, Buck, AH, Burger, D, Busatto, S, Buschmann, D, Bussolati, B, Buzas, E, Byrd, JB, Camussi, G, Carter, DRF, Caruso, S, Chamley, LW, Chang, Y-T, Chen, C, Chen, S, Cheng, L, Chin, AR, Clayton, A, Clerici, SP, Cocks, A, Cocucci, E, Coffey, RJ, Cordeiro-da-Silva, A, Couch, Y, Coumans, FAW, Coyle, B, Crescitelli, R, Criado, MF, D'Souza-Schorey, C, Das, S, Chaudhuri, AD, de Candia, P, De Santana Junior, EF, De Wever, O, del Portillo, HA, Demaret, T, Deville, S, Devitt, A, Dhondt, B, Di Vizio, D, Dieterich, LC, Dolo, V, Dominguez Rubio, AP, Dominici, M, Dourado, MR, Driedonks, TAP, Duarte, F, Duncan, HM, Eichenberger, RM, Ekstrom, K, Andaloussi, SEL, Elie-Caille, C, Erdbrugger, U, Falcon-Perez, JM, Fatima, F, Fish, JE, Flores-Bellver, M, Forsonits, A, Frelet-Barrand, A, Fricke, F, Fuhrmann, G, Gabrielsson, S, Gamez-Valero, A, Gardiner, C, Gaertner, K, Gaudin, R, Gho, YS, Giebel, B, Gilbert, C, Gimona, M, Giusti, I, Goberdhan, DC, Goergens, A, Gorski, SM, Greening, DW, Gross, JC, Gualerzi, A, Gupta, GN, Gustafson, D, Handberg, A, Haraszti, RA, Harrison, P, Hegyesi, H, Hendrix, A, Hill, AF, Hochberg, FH, Hoffmann, KF, Holder, B, Holthofer, H, Hosseinkhani, B, Hu, G, Huang, Y, Huber, V, Hunt, S, Ibrahim, AG-E, Ikezu, T, Inal, JM, Isin, M, Ivanova, A, Jackson, HK, Jacobsen, S, Jay, SM, Jayachandran, M, Jenster, G, Jiang, L, Johnson, SM, Jones, JC, Jong, A, Jovanovic-Talisman, T, Jung, S, Kalluri, R, Kano, S-I, Kaur, S, Kawamura, Y, Keller, ET, Khamari, D, Khomyakova, E, Khvorova, A, Kierulf, P, Kim, KP, Kislinger, T, Klingeborn, M, Klinke, DJ, Kornek, M, Kosanovic, MM, Kovacs, AF, Kraemer-Albers, E-M, Krasemann, S, Krause, M, Kurochkin, I, Kusuma, GD, Kuypers, S, Laitinen, S, Langevin, SM, Languino, LR, Lannigan, J, Lasser, C, Laurent, LC, Lavieu, G, Lazaro-Ibanez, E, Le Lay, S, Lee, M-S, Lee, YXF, Lemos, DS, Lenassi, M, Leszczynska, A, Li, ITS, Liao, K, Libregts, SF, Ligeti, E, Lim, R, Lim, SK, Line, A, Linnemannstoens, K, Llorente, A, Lombard, CA, Lorenowicz, MJ, Lorincz, AM, Lotvall, J, Lovett, J, Lowry, MC, Loyer, X, Lu, Q, Lukomska, B, Lunavat, TR, Maas, SLN, Malhi, H, Marcilla, A, Mariani, J, Mariscal, J, Martens-Uzunova, ES, Martin-Jaular, L, Martinez, MC, Martins, VR, Mathieu, M, Mathivanan, S, Maugeri, M, McGinnis, LK, McVey, MJ, Meckes, DG, Meehan, KL, Mertens, I, Minciacchi, VR, Moller, A, Jorgensen, MM, Morales-Kastresana, A, Morhayim, J, Mullier, F, Muraca, M, Musante, L, Mussack, V, Muth, DC, Myburgh, KH, Najrana, T, Nawaz, M, Nazarenko, I, Nejsum, P, Neri, C, Neri, T, Nieuwland, R, Nimrichter, L, Nolan, JP, Nolte-'t Hoen, ENM, Noren Hooten, N, O'Driscoll, L, O'Grady, T, O'Loghlen, A, Ochiya, T, Olivier, M, Ortiz, A, Ortiz, LA, Osteikoetxea, X, Ostegaard, O, Ostrowski, M, Park, J, Pegtel, DM, Peinado, H, Perut, F, Pfaffl, MW, Phinney, DG, Pieters, BCH, Pink, RC, Pisetsky, DS, von Strandmann, EP, Polakovicova, I, Poon, IKH, Powell, BH, Prada, I, Pulliam, L, Quesenberry, P, Radeghieri, A, Raffai, RL, Raimondo, S, Rak, J, Ramirez, M, Raposo, G, Rayyan, MS, Regev-Rudzki, N, Ricklefs, FL, Robbins, PD, Roberts, DD, Rodrigues, SC, Rohde, E, Rome, S, Rouschop, KMA, Rughetti, A, Russell, AE, Saa, P, Sahoo, S, Salas-Huenuleo, E, Sanchez, C, Saugstad, JA, Saul, MJ, Schiffelers, RM, Schneider, R, Schoyen, TH, Scott, A, Shahaj, E, Sharma, S, Shatnyeva, O, Shekari, F, Shelke, GV, Shetty, AK, Shiba, K, Siljander, PR-M, Silva, AM, Skowronek, A, Snyder, OL, Soares, RP, Sodar, BW, Soekmadji, C, Sotillo, J, Stahl, PD, Stoorvogel, W, Stott, SL, Strasser, EF, Swift, S, Tahara, H, Tewari, M, Timms, K, Tiwari, S, Tixeira, R, Tkach, M, Toh, WS, Tomasini, R, Torrecilhas, AC, Pablo Tosar, J, Toxavidis, V, Urbanelli, L, Vader, P, van Balkom, BWM, van der Grein, SG, Van Deun, J, van Herwijnen, MJC, Van Keuren-Jensen, K, van Niel, G, van Royen, ME, van Wijnen, AJ, Helena Vasconcelos, M, Vechetti, IJ, Veit, TD, Vella, LJ, Velot, E, Verweij, FJ, Vestad, B, Vinas, JL, Visnovitz, T, Vukman, KV, Wahlgren, J, Watson, DC, Wauben, MHM, Weaver, A, Webber, JP, Weber, V, Wehman, AM, Weiss, DJ, Welsh, JA, Wendt, S, Wheelock, AM, Wiener, Z, Witte, L, Wolfram, J, Xagorari, A, Xander, P, Xu, J, Yan, X, Yanez-Mo, M, Yin, H, Yuana, Y, Zappulli, V, Zarubova, J, Zekas, V, Zhang, J-Y, Zhao, Z, Zheng, L, Zheutlin, AR, Zickler, AM, Zimmermann, P, Zivkovic, AM, Zocco, D, Zuba-Surma, EK, Thery, C, Witwer, KW, Aikawa, E, Jose Alcaraz, M, Anderson, JD, Andriantsitohaina, R, Antoniou, A, Arab, T, Archer, F, Atkin-Smith, GK, Ayre, DC, Bach, J-M, Bachurski, D, Baharvand, H, Balaj, L, Baldacchino, S, Bauer, NN, Baxter, AA, Bebawy, M, Beckham, C, Zavec, AB, Benmoussa, A, Berardi, AC, Bergese, P, Bielska, E, Blenkiron, C, Bobis-Wozowicz, S, Boilard, E, Boireau, W, Bongiovanni, A, Borras, FE, Bosch, S, Boulanger, CM, Breakefield, X, Breglio, AM, Brennan, MA, Brigstock, DR, Brisson, A, Broekman, MLD, Bromberg, JF, Bryl-Gorecka, P, Buch, S, Buck, AH, Burger, D, Busatto, S, Buschmann, D, Bussolati, B, Buzas, E, Byrd, JB, Camussi, G, Carter, DRF, Caruso, S, Chamley, LW, Chang, Y-T, Chen, C, Chen, S, Cheng, L, Chin, AR, Clayton, A, Clerici, SP, Cocks, A, Cocucci, E, Coffey, RJ, Cordeiro-da-Silva, A, Couch, Y, Coumans, FAW, Coyle, B, Crescitelli, R, Criado, MF, D'Souza-Schorey, C, Das, S, Chaudhuri, AD, de Candia, P, De Santana Junior, EF, De Wever, O, del Portillo, HA, Demaret, T, Deville, S, Devitt, A, Dhondt, B, Di Vizio, D, Dieterich, LC, Dolo, V, Dominguez Rubio, AP, Dominici, M, Dourado, MR, Driedonks, TAP, Duarte, F, Duncan, HM, Eichenberger, RM, Ekstrom, K, Andaloussi, SEL, Elie-Caille, C, Erdbrugger, U, Falcon-Perez, JM, Fatima, F, Fish, JE, Flores-Bellver, M, Forsonits, A, Frelet-Barrand, A, Fricke, F, Fuhrmann, G, Gabrielsson, S, Gamez-Valero, A, Gardiner, C, Gaertner, K, Gaudin, R, Gho, YS, Giebel, B, Gilbert, C, Gimona, M, Giusti, I, Goberdhan, DC, Goergens, A, Gorski, SM, Greening, DW, Gross, JC, Gualerzi, A, Gupta, GN, Gustafson, D, Handberg, A, Haraszti, RA, Harrison, P, Hegyesi, H, Hendrix, A, Hill, AF, Hochberg, FH, Hoffmann, KF, Holder, B, Holthofer, H, Hosseinkhani, B, Hu, G, Huang, Y, Huber, V, Hunt, S, Ibrahim, AG-E, Ikezu, T, Inal, JM, Isin, M, Ivanova, A, Jackson, HK, Jacobsen, S, Jay, SM, Jayachandran, M, Jenster, G, Jiang, L, Johnson, SM, Jones, JC, Jong, A, Jovanovic-Talisman, T, Jung, S, Kalluri, R, Kano, S-I, Kaur, S, Kawamura, Y, Keller, ET, Khamari, D, Khomyakova, E, Khvorova, A, Kierulf, P, Kim, KP, Kislinger, T, Klingeborn, M, Klinke, DJ, Kornek, M, Kosanovic, MM, Kovacs, AF, Kraemer-Albers, E-M, Krasemann, S, Krause, M, Kurochkin, I, Kusuma, GD, Kuypers, S, Laitinen, S, Langevin, SM, Languino, LR, Lannigan, J, Lasser, C, Laurent, LC, Lavieu, G, Lazaro-Ibanez, E, Le Lay, S, Lee, M-S, Lee, YXF, Lemos, DS, Lenassi, M, Leszczynska, A, Li, ITS, Liao, K, Libregts, SF, Ligeti, E, Lim, R, Lim, SK, Line, A, Linnemannstoens, K, Llorente, A, Lombard, CA, Lorenowicz, MJ, Lorincz, AM, Lotvall, J, Lovett, J, Lowry, MC, Loyer, X, Lu, Q, Lukomska, B, Lunavat, TR, Maas, SLN, Malhi, H, Marcilla, A, Mariani, J, Mariscal, J, Martens-Uzunova, ES, Martin-Jaular, L, Martinez, MC, Martins, VR, Mathieu, M, Mathivanan, S, Maugeri, M, McGinnis, LK, McVey, MJ, Meckes, DG, Meehan, KL, Mertens, I, Minciacchi, VR, Moller, A, Jorgensen, MM, Morales-Kastresana, A, Morhayim, J, Mullier, F, Muraca, M, Musante, L, Mussack, V, Muth, DC, Myburgh, KH, Najrana, T, Nawaz, M, Nazarenko, I, Nejsum, P, Neri, C, Neri, T, Nieuwland, R, Nimrichter, L, Nolan, JP, Nolte-'t Hoen, ENM, Noren Hooten, N, O'Driscoll, L, O'Grady, T, O'Loghlen, A, Ochiya, T, Olivier, M, Ortiz, A, Ortiz, LA, Osteikoetxea, X, Ostegaard, O, Ostrowski, M, Park, J, Pegtel, DM, Peinado, H, Perut, F, Pfaffl, MW, Phinney, DG, Pieters, BCH, Pink, RC, Pisetsky, DS, von Strandmann, EP, Polakovicova, I, Poon, IKH, Powell, BH, Prada, I, Pulliam, L, Quesenberry, P, Radeghieri, A, Raffai, RL, Raimondo, S, Rak, J, Ramirez, M, Raposo, G, Rayyan, MS, Regev-Rudzki, N, Ricklefs, FL, Robbins, PD, Roberts, DD, Rodrigues, SC, Rohde, E, Rome, S, Rouschop, KMA, Rughetti, A, Russell, AE, Saa, P, Sahoo, S, Salas-Huenuleo, E, Sanchez, C, Saugstad, JA, Saul, MJ, Schiffelers, RM, Schneider, R, Schoyen, TH, Scott, A, Shahaj, E, Sharma, S, Shatnyeva, O, Shekari, F, Shelke, GV, Shetty, AK, Shiba, K, Siljander, PR-M, Silva, AM, Skowronek, A, Snyder, OL, Soares, RP, Sodar, BW, Soekmadji, C, Sotillo, J, Stahl, PD, Stoorvogel, W, Stott, SL, Strasser, EF, Swift, S, Tahara, H, Tewari, M, Timms, K, Tiwari, S, Tixeira, R, Tkach, M, Toh, WS, Tomasini, R, Torrecilhas, AC, Pablo Tosar, J, Toxavidis, V, Urbanelli, L, Vader, P, van Balkom, BWM, van der Grein, SG, Van Deun, J, van Herwijnen, MJC, Van Keuren-Jensen, K, van Niel, G, van Royen, ME, van Wijnen, AJ, Helena Vasconcelos, M, Vechetti, IJ, Veit, TD, Vella, LJ, Velot, E, Verweij, FJ, Vestad, B, Vinas, JL, Visnovitz, T, Vukman, KV, Wahlgren, J, Watson, DC, Wauben, MHM, Weaver, A, Webber, JP, Weber, V, Wehman, AM, Weiss, DJ, Welsh, JA, Wendt, S, Wheelock, AM, Wiener, Z, Witte, L, Wolfram, J, Xagorari, A, Xander, P, Xu, J, Yan, X, Yanez-Mo, M, Yin, H, Yuana, Y, Zappulli, V, Zarubova, J, Zekas, V, Zhang, J-Y, Zhao, Z, Zheng, L, Zheutlin, AR, Zickler, AM, Zimmermann, P, Zivkovic, AM, Zocco, D, and Zuba-Surma, EK
- Abstract
The last decade has seen a sharp increase in the number of scientific publications describing physiological and pathological functions of extracellular vesicles (EVs), a collective term covering various subtypes of cell-released, membranous structures, called exosomes, microvesicles, microparticles, ectosomes, oncosomes, apoptotic bodies, and many other names. However, specific issues arise when working with these entities, whose size and amount often make them difficult to obtain as relatively pure preparations, and to characterize properly. The International Society for Extracellular Vesicles (ISEV) proposed Minimal Information for Studies of Extracellular Vesicles ("MISEV") guidelines for the field in 2014. We now update these "MISEV2014" guidelines based on evolution of the collective knowledge in the last four years. An important point to consider is that ascribing a specific function to EVs in general, or to subtypes of EVs, requires reporting of specific information beyond mere description of function in a crude, potentially contaminated, and heterogeneous preparation. For example, claims that exosomes are endowed with exquisite and specific activities remain difficult to support experimentally, given our still limited knowledge of their specific molecular machineries of biogenesis and release, as compared with other biophysically similar EVs. The MISEV2018 guidelines include tables and outlines of suggested protocols and steps to follow to document specific EV-associated functional activities. Finally, a checklist is provided with summaries of key points.
- Published
- 2018
20. Library Preparation for small RNA sequencing using 4N adapters: In house 4N Protocol A
- Author
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Alexander, Roger P., primary, Giraldez, MD, additional, Spengler, RM, additional, Etheridge, A, additional, Godoy, PM, additional, Barczak, AJ, additional, Srinivasan, S, additional, De Hoff, PL, additional, Tanriverdi, K, additional, Courtright, A, additional, Lu, S, additional, Khoory, J, additional, Rubio, R, additional, Baxter, D, additional, Driedonks, TAP, additional, Buermans, HPJ, additional, Nolte-t Hoen, ENM, additional, Jiang, H, additional, Wang, K, additional, Ghiran, I, additional, Wang, Y, additional, Van Keuren-Jensen, K, additional, Freedman, JE, additional, Woodruff, PG, additional, Laurent, LC, additional, Erle, DJ, additional, Galas, DJ, additional, and Tewari, M, additional
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- 2018
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21. Library Preparation for small RNA sequencing using 4N adapters: In house 4N Protocol B
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Alexander, Roger P., primary, Giraldez, MD, additional, Spengler, RM, additional, Etheridge, A, additional, Godoy, PM, additional, Barczak, AJ, additional, Srinivasan, S, additional, De Hoff, PL, additional, Tanriverdi, K, additional, Courtright, A, additional, Lu, S, additional, Khoory, J, additional, Rubio, R, additional, Baxter, D, additional, Driedonks, TAP, additional, Buermans, HPJ, additional, Nolte-t Hoen, ENM, additional, Jiang, H, additional, Wang, K, additional, Ghiran, I, additional, Wang, Y, additional, Van Keuren-Jensen, K, additional, Freedman, JE, additional, Woodruff, PG, additional, Laurent, LC, additional, Erle, DJ, additional, Galas, DJ, additional, and Tewari, M, additional
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- 2018
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22. Modified TruSeq Small RNA Library Prep using Randomized 4N Adapters: In house 4N Protocol D
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Alexander, Roger P., primary, Giraldez, MD, additional, Spengler, RM, additional, Etheridge, A, additional, Godoy, PM, additional, Barczak, AJ, additional, Srinivasan, S, additional, De Hoff, PL, additional, Tanriverdi, K, additional, Courtright, A, additional, Lu, S, additional, Khoory, J, additional, Rubio, R, additional, Baxter, D, additional, Driedonks, TAP, additional, Buermans, HPJ, additional, Nolte-t Hoen, ENM, additional, Jiang, H, additional, Wang, K, additional, Ghiran, I, additional, Wang, Y, additional, Van Keuren-Jensen, K, additional, Freedman, JE, additional, Woodruff, PG, additional, Laurent, LC, additional, Erle, DJ, additional, Galas, DJ, additional, and Tewari, M, additional
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- 2018
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23. Library Preparation for small RNA sequencing using 4N adapters: In house 4N Protocol C
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Alexander, Roger P., primary, Giraldez, MD, additional, Spengler, RM, additional, Etheridge, A, additional, Godoy, PM, additional, Barczak, AJ, additional, Srinivasan, S, additional, De Hoff, PL, additional, Tanriverdi, K, additional, Courtright, A, additional, Lu, S, additional, Khoory, J, additional, Rubio, R, additional, Baxter, D, additional, Driedonks, TAP, additional, Buermans, HPJ, additional, Nolte-t Hoen, ENM, additional, Jiang, H, additional, Wang, K, additional, Ghiran, I, additional, Wang, Y, additional, Van Keuren-Jensen, K, additional, Freedman, JE, additional, Woodruff, PG, additional, Laurent, LC, additional, Erle, DJ, additional, Galas, DJ, additional, and Tewari, M, additional
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- 2018
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24. Obstacles and opportunities in the functional analysis of extracellular vesicle RNA - an ISEV position paper
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Mateescu, B, Kowal, EJK, van Balkom, BWM, Bartel, S, Bhattacharyya, SN, Buzas, EI, Buck, AH, de Candia, P, Chow, FWN, Das, S, Driedonks, TAP, Fernandez-Messina, L, Haderk, F, Hill, AF, Jones, JC, Van Keuren-Jensen, KR, Lai, CP, Laesser, C, di Liegro, I, Lunavat, TR, Lorenowicz, MJ, Maas, SLN, Maeger, I, Mittelbrunn, M, Momma, S, Mukherjee, K, Nawaz, M, Pegtel, DM, Pfaffl, MW, Schiffelers, RM, Tahara, H, Thery, C, Tosar, JP, Wauben, MHM, Witwer, KW, Nolte-'t Hoen, ENM, Mateescu, B, Kowal, EJK, van Balkom, BWM, Bartel, S, Bhattacharyya, SN, Buzas, EI, Buck, AH, de Candia, P, Chow, FWN, Das, S, Driedonks, TAP, Fernandez-Messina, L, Haderk, F, Hill, AF, Jones, JC, Van Keuren-Jensen, KR, Lai, CP, Laesser, C, di Liegro, I, Lunavat, TR, Lorenowicz, MJ, Maas, SLN, Maeger, I, Mittelbrunn, M, Momma, S, Mukherjee, K, Nawaz, M, Pegtel, DM, Pfaffl, MW, Schiffelers, RM, Tahara, H, Thery, C, Tosar, JP, Wauben, MHM, Witwer, KW, and Nolte-'t Hoen, ENM
- Abstract
The release of RNA-containing extracellular vesicles (EV) into the extracellular milieu has been demonstrated in a multitude of different in vitro cell systems and in a variety of body fluids. RNA-containing EV are in the limelight for their capacity to communicate genetically encoded messages to other cells, their suitability as candidate biomarkers for diseases, and their use as therapeutic agents. Although EV-RNA has attracted enormous interest from basic researchers, clinicians, and industry, we currently have limited knowledge on which mechanisms drive and regulate RNA incorporation into EV and on how RNA-encoded messages affect signalling processes in EV-targeted cells. Moreover, EV-RNA research faces various technical challenges, such as standardisation of EV isolation methods, optimisation of methodologies to isolate and characterise minute quantities of RNA found in EV, and development of approaches to demonstrate functional transfer of EV-RNA in vivo. These topics were discussed at the 2015 EV-RNA workshop of the International Society for Extracellular Vesicles. This position paper was written by the participants of the workshop not only to give an overview of the current state of knowledge in the field, but also to clarify that our incomplete knowledge - of the nature of EV(-RNA)s and of how to effectively and reliably study them - currently prohibits the implementation of gold standards in EV-RNA research. In addition, this paper creates awareness of possibilities and limitations of currently used strategies to investigate EV-RNA and calls for caution in interpretation of the obtained data.
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- 2017
25. Systematic assessment of next generation sequencing for quantitative small RNA profiling: a multiple protocol study across multiple laboratories
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Giraldez, MD, primary, Spengler, RM, additional, Etheridge, A, additional, Godoy, PM, additional, Barczak, AJ, additional, Srinivasan, S, additional, De Hoff, PL, additional, Tanriverdi, K, additional, Courtright, A, additional, Lu, S, additional, Khoory, J, additional, Rubio, R, additional, Baxter, D, additional, Driedonks, TAP, additional, Buermans, HPJ, additional, Nolte-‘t Hoen, ENM, additional, Jiang, H, additional, Wang, K, additional, Ghiran, I, additional, Wang, Y, additional, Van Keuren-Jensen, K, additional, Freedman, JE, additional, Woodruff, PG, additional, Laurent, LC, additional, Erle, DJ, additional, Galas, DJ, additional, and Tewari, M, additional
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- 2017
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26. Connecting through ISEV's developing social media landscape.
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Driedonks TAP, Goberdhan DCI, Mohanty S, Williams S, Nieuwland R, Witwer KW, and Torrecilhas AC
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- 2024
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27. Polycarbonate Ultracentrifuge Tube Re-use in Proteomic Analyses of Extracellular Vesicles.
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Cahalane RME, Turner ME, Clift CL, Blaser MC, Bogut G, Levy S, Kasai T, Driedonks TAP, Nolte-'t Hoen ENM, Aikawa M, Singh SA, and Aikawa E
- Subjects
- Proteins metabolism, Polymers analysis, Water metabolism, Proteomics methods, Extracellular Vesicles metabolism, Polycarboxylate Cement
- Abstract
Single-use laboratory plastics exacerbate the pollution crisis and contribute to consumable costs. In extracellular vesicle (EV) isolation, polycarbonate ultracentrifuge (UC) tubes are used to endure the associated high centrifugal forces. EV proteomics is an advancing field and validated re-use protocols for these tubes are lacking. Re-using consumables for low-yield protein isolation protocols and downstream proteomics requires reagent compatibility with mass spectroscopy acquisitions, such as the absence of centrifuge tube-derived synthetic polymer contamination, and sufficient removal of residual proteins. This protocol describes and validates a method for cleaning polycarbonate UC tubes for re-use in EV proteomics experiments. The cleaning process involves immediate submersion of UC tubes in H2O to prevent protein drying, washing in 0.1% sodium dodecyl sulfate (SDS) detergent, rinsing in hot tap water, demineralized water, and 70% ethanol. To validate the UC tube re-use protocol for downstream EV proteomics, used tubes were obtained following an experiment isolating EVs from cardiovascular tissue using differential UC and density gradient separation. Tubes were cleaned and the experimental process was repeated without EV samples comparing blank never-used UC tubes to cleaned UC tubes. The pseudo-EV pellets obtained from the isolation procedures were lysed and prepared for liquid chromatography-tandem mass spectrometry using a commercial protein sample preparation kit with modifications for low-abundance protein samples. Following cleaning, the number of identified proteins was reduced by 98% in the pseudo-pellet versus the previous EV isolation sample from the same tube. Comparing a cleaned tube against a blank tube, both samples contained a very small number of proteins (≤20) with 86% similarity. The absence of polymer peaks in the chromatograms of the cleaned tubes was confirmed. Ultimately, the validation of a UC tube cleaning protocol suitable for the enrichment of EVs will reduce the waste produced by EV laboratories and lower the experimental costs.
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- 2024
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28. ELISA-based detection of immunoglobulins against extracellular vesicles in blood plasma.
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Driedonks TAP, Jiang L, Gololobova O, Liao Z, and Witwer KW
- Abstract
Extracellular vesicles (EVs) are intensively investigated for their therapeutic potential and application as drug delivery vehicle. A broad perception of favourable safety profiles and low immunogenicity make EVs an attractive alternative to synthetic nanoparticles. We recently showed that repeated intravenous administration of human cell-derived EVs into pig-tailed macaques unexpectedly elicited antibody responses after three or more injections. This coincided with decreasing EV circulation time, and may thus hamper successful EV-mediated cargo delivery into tissues. Here, we share the custom ELISA protocol that we used to measure such antibody responses. This protocol may help other researchers evaluate immune responses to EV-based therapies in preclinical studies., Competing Interests: KWW is or has been an advisory board member of ShiftBio, Exopharm, NeuroDex, NovaDip, and ReNeuron; holds NeuroDex options; privately consults as Kenneth Witwer Consulting; and has a sponsored research agreement with Ionis Pharmaceuticals., (© 2024 The Authors. Journal of Extracellular Biology published by Wiley Periodicals LLC on behalf of International Society for Extracellular Vesicles.)
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- 2024
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29. Minimal information for studies of extracellular vesicles (MISEV2023): From basic to advanced approaches.
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Welsh JA, Goberdhan DCI, O'Driscoll L, Buzas EI, Blenkiron C, Bussolati B, Cai H, Di Vizio D, Driedonks TAP, Erdbrügger U, Falcon-Perez JM, Fu QL, Hill AF, Lenassi M, Lim SK, Mahoney MG, Mohanty S, Möller A, Nieuwland R, Ochiya T, Sahoo S, Torrecilhas AC, Zheng L, Zijlstra A, Abuelreich S, Bagabas R, Bergese P, Bridges EM, Brucale M, Burger D, Carney RP, Cocucci E, Crescitelli R, Hanser E, Harris AL, Haughey NJ, Hendrix A, Ivanov AR, Jovanovic-Talisman T, Kruh-Garcia NA, Ku'ulei-Lyn Faustino V, Kyburz D, Lässer C, Lennon KM, Lötvall J, Maddox AL, Martens-Uzunova ES, Mizenko RR, Newman LA, Ridolfi A, Rohde E, Rojalin T, Rowland A, Saftics A, Sandau US, Saugstad JA, Shekari F, Swift S, Ter-Ovanesyan D, Tosar JP, Useckaite Z, Valle F, Varga Z, van der Pol E, van Herwijnen MJC, Wauben MHM, Wehman AM, Williams S, Zendrini A, Zimmerman AJ, Théry C, and Witwer KW
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- Biological Transport, Biomarkers metabolism, Phenotype, Extracellular Vesicles metabolism, Exosomes metabolism
- Abstract
Extracellular vesicles (EVs), through their complex cargo, can reflect the state of their cell of origin and change the functions and phenotypes of other cells. These features indicate strong biomarker and therapeutic potential and have generated broad interest, as evidenced by the steady year-on-year increase in the numbers of scientific publications about EVs. Important advances have been made in EV metrology and in understanding and applying EV biology. However, hurdles remain to realising the potential of EVs in domains ranging from basic biology to clinical applications due to challenges in EV nomenclature, separation from non-vesicular extracellular particles, characterisation and functional studies. To address the challenges and opportunities in this rapidly evolving field, the International Society for Extracellular Vesicles (ISEV) updates its 'Minimal Information for Studies of Extracellular Vesicles', which was first published in 2014 and then in 2018 as MISEV2014 and MISEV2018, respectively. The goal of the current document, MISEV2023, is to provide researchers with an updated snapshot of available approaches and their advantages and limitations for production, separation and characterisation of EVs from multiple sources, including cell culture, body fluids and solid tissues. In addition to presenting the latest state of the art in basic principles of EV research, this document also covers advanced techniques and approaches that are currently expanding the boundaries of the field. MISEV2023 also includes new sections on EV release and uptake and a brief discussion of in vivo approaches to study EVs. Compiling feedback from ISEV expert task forces and more than 1000 researchers, this document conveys the current state of EV research to facilitate robust scientific discoveries and move the field forward even more rapidly., (© 2024 The Authors. Journal of Extracellular Vesicles published by Wiley Periodicals, LLC on behalf of the International Society for Extracellular Vesicles.)
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- 2024
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30. Viral and host small RNA transcriptome analysis of SARS-CoV-1 and SARS-CoV-2-infected human cells reveals novel viral short RNAs.
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Driedonks TAP, Nyberg LH, Conte A, Ma Z, Pekosz A, Duban E, Tonevitsky A, Sültmann H, Turchinovich A, and Witwer KW
- Abstract
RNA viruses have been shown to express various short RNAs, some of which have regulatory roles during replication, transcription, and translation of viral genomes. However, short viral RNAs generated from SARS-CoV-1 and SARS-CoV-2 genomic RNAs remained largely unexplored, possibly due limitations of the widely used library preparation methods for small RNA deep sequencing and corresponding data processing. By analyzing publicly available small RNA sequencing datasets, we observed that human Calu-3 cells infected by SARS-CoV-1 or SARS-CoV-2 accumulate multiple previously unreported short viral RNAs. In addition, we verified the presence of the five most abundant SARS-CoV-2 short viral RNAs in SARS-CoV-2-infected human lung adenocarcinoma cells by quantitative PCR. Interestingly, the copy number of the observed SARS-CoV-2 short viral RNAs dramatically exceeded the expression of previously reported viral microRNAs in the same cells. We hypothesize that the reported SARS-CoV-2 short viral RNAs could serve as biomarkers for early infection stages due to their high abundance. Furthermore, unlike SARS-CoV-1, the SARS-CoV-2 infection induced significant (Benjamini-Hochberg-corrected p-value <0.05) deregulation of Y-RNA, transfer RNA, vault RNA, as well as more than 300 endogenous short RNAs that aligned predominantly to human protein-coding and long noncoding RNA transcripts. In particular, more than 20-fold upregulation of reads derived from Y-RNA (and several transfer RNAs) have been documented in RNA-seq datasets from SARS-CoV-2 infected cells. Finally, a significant proportion of short RNAs derived from full-length viral genomes also aligned to various human genome (hg38) sequences, suggesting opportunities to investigate regulatory roles of short viral RNAs during infection. Further characterization of the small RNA landscape of both viral and host genomes is clearly warranted to improve our understanding of molecular events related to infection and to design more efficient strategies for therapeutic interventions as well as early diagnosis., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2024 The Authors.)
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- 2024
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31. Intracellular localisation and extracellular release of Y RNA and Y RNA binding proteins.
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Driedonks TAP, Ressel S, Tran Ngoc Minh T, Buck AH, and Nolte-'t Hoen ENM
- Abstract
Cells can communicate via the release and uptake of extracellular vesicles (EVs), which are nano-sized membrane vesicles that can transfer protein and RNA cargo between cells. EVs contain microRNAs and various other types of non-coding RNA, of which Y RNA is among the most abundant types. Studies on how RNAs and their binding proteins are sorted into EVs have mainly focused on comparing intracellular (cytoplasmic) levels of these RNAs to the extracellular levels in EVs. Besides overall transcriptional levels that may regulate sorting of RNAs into EVs, the process may also be driven by local intracellular changes in RNA/RBP concentrations. Changes in extracellular Y RNA have been linked to cancer and cardiovascular diseases. Although the loading of RNA cargo into EVs is generally thought to be influenced by cellular stimuli and regulated by RNA binding proteins (RBP), little is known about Y RNA shuttling into EVs. We previously reported that immune stimulation alters the levels of Y RNA in EVs independently of cytosolic Y RNA levels. This suggests that Y RNA binding proteins, and/or changes in the local Y RNA concentration at EV biogenesis sites, may affect Y RNA incorporation into EVs. Here, we investigated the subcellular distribution of Y RNA and Y RNA binding proteins in activated and non-activated THP1 macrophages. We demonstrate that Y RNA and its main binding protein Ro60 abundantly co-fractionate in organelles involved in EV biogenesis and in EVs. Cellular activation led to an increase in Y RNA concentration at EV biogenesis sites and this correlated with increased EV-associated levels of Y RNA and Ro60. These results suggest that Y RNA incorporation into EVs may be controlled by local intracellular changes in the concentration of Y RNA and their protein binding partners., Competing Interests: The authors declare no conflicts of interest., (© 2024 The Authors. Journal of Extracellular Biology published by Wiley Periodicals LLC on behalf of International Society for Extracellular Vesicles.)
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- 2024
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32. Small RNA Profiles of Brain Tissue-Derived Extracellular Vesicles in Alzheimer's Disease.
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Huang Y, Driedonks TAP, Cheng L, Turchinovich A, Pletnikova O, Redding-Ochoa J, Troncoso JC, Hill AF, Mahairaki V, Zheng L, and Witwer KW
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- Humans, Male, Female, Aged, Aged, 80 and over, RNA, Untranslated genetics, RNA, Transfer genetics, RNA, Transfer metabolism, RNA, Small Untranslated genetics, Alzheimer Disease genetics, Alzheimer Disease pathology, Alzheimer Disease metabolism, Extracellular Vesicles metabolism, Brain metabolism, Brain pathology, MicroRNAs genetics, MicroRNAs metabolism
- Abstract
Background: Extracellular vesicles (EVs) and non-coding RNAs (ncRNAs) are emerging contributors to Alzheimer's disease (AD) pathophysiology. Differential abundance of ncRNAs carried by EVs may provide valuable insights into underlying disease mechanisms. Brain tissue-derived EVs (bdEVs) are particularly relevant, as they may offer valuable insights about the tissue of origin. However, there is limited research on diverse ncRNA species in bdEVs in AD., Objective: This study explored whether the non-coding RNA composition of EVs isolated from post-mortem brain tissue is related to AD pathogenesis., Methods: bdEVs from age-matched late-stage AD patients (n = 23) and controls (n = 10) that had been separated and characterized in our previous study were used for RNA extraction, small RNA sequencing, and qPCR verification., Results: Significant differences of non-coding RNAs between AD and controls were found, especially for miRNAs and tRNAs. AD pathology-related miRNA and tRNA differences of bdEVs partially matched expression differences in source brain tissues. AD pathology had a more prominent association than biological sex with bdEV miRNA and tRNA components in late-stage AD brains., Conclusions: Our study provides further evidence that EV non-coding RNAs from human brain tissue, including but not limited to miRNAs, may be altered and contribute to AD pathogenesis.
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- 2024
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33. An ex vivo model of interactions between extracellular vesicles and peripheral mononuclear blood cells in whole blood.
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Rodriguez BV, Wen Y, Shirk EN, Vazquez S, Gololobova O, Maxwell A, Plunkard J, Castell N, Carlson B, Queen SE, Izzi JM, Driedonks TAP, and Witwer KW
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- Animals, Leukocytes, Mononuclear, Tissue Distribution, Macaca nemestrina, Cell Communication, Extracellular Vesicles metabolism
- Abstract
Extracellular vesicles (EVs) can be loaded with therapeutic cargo and engineered for retention by specific body sites; therefore, they have great potential for targeted delivery of biomolecules to treat diseases. However, the pharmacokinetics and biodistribution of EVs in large animals remain relatively unknown, especially in primates. We recently reported that when cell culture-derived EVs are administered intravenously to Macaca nemestrina (pig-tailed macaques), they differentially associate with specific subsets of peripheral blood mononuclear cells (PBMCs). More than 60% of CD20+ B cells were observed to associate with EVs for up to 1 h post-intravenous administration. To investigate these associations further, we developed an ex vivo model of whole blood collected from healthy pig-tailed macaques. Using this ex vivo system, we found that labelled EVs preferentially associate with B cells in whole blood at levels similar to those detected in vivo. This study demonstrates that ex vivo blood can be used to study EV-blood cell interactions., (© 2023 The Authors. Journal of Extracellular Vesicles published by Wiley Periodicals LLC on behalf of International Society for Extracellular Vesicles.)
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- 2023
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34. Relationships of APOE Genotypes With Small RNA and Protein Cargo of Brain Tissue Extracellular Vesicles From Patients With Late-Stage AD.
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Huang Y, Driedonks TAP, Cheng L, Rajapaksha H, Turchinovich A, Routenberg DA, Nagaraj R, Redding-Ochoa J, Arab T, Powell BH, Pletnikova O, Troncoso JC, Zheng L, Hill AF, Mahairaki V, and Witwer KW
- Abstract
Background and Objectives: Variants of the apolipoprotein E (APOE) gene are the greatest known risk factors for sporadic Alzheimer disease (AD). Three major APOE isoform alleles, ε2, ε3 , and ε4 , encode and produce proteins that differ by only 1-2 amino acids but have different binding partner interactions. Whereas APOE ε2 is protective against AD relative to ε3, ε4 is associated with an increased risk for AD development. However, the role of APOE in gene regulation in AD pathogenesis has remained largely undetermined. Extracellular vesicles (EVs) are lipid bilayer-delimited particles released by cells to dispose of unwanted materials and mediate intercellular communication, and they are implicated in AD pathophysiology. Brain-derived EVs (bdEVs) could act locally in the tissue and reflect cellular changes. To reveal whether APOE genotype affects EV components in AD brains, bdEVs were separated from patients with AD with different APOE genotypes for parallel small RNA and protein profile., Methods: bdEVs from late-stage AD brains (BRAAK stages 5-6) from patients with APOE genotypes ε2/3 (n = 5), ε3/3 (n = 5), ε3/4 (n = 6), and ε4/4 (n = 6) were separated using our published protocol into a 10,000 g pelleted extracellular fraction (10K) and a further purified EV fraction. Counting, sizing, and multiomic characterization by small RNA sequencing and proteomic analysis were performed for 10K, EVs, and source tissue., Results: Comparing APOE genotypes, no significant differences in bdEV total particle concentration or morphology were observed. Overall small RNA and protein profiles of 10K, EVs, and source tissue also did not differ substantially between different APOE genotypes. However, several differences in individual RNAs (including miRNAs and tRNAs) and proteins in 10K and EVs were observed when comparing the highest and lowest risk groups (ε4/4 and ε2/3) . Bioinformatic analysis and previous publications indicate a potential regulatory role of these molecules in AD., Discussion: For patients with late-stage AD in this study, only a few moderate differences were observed for small RNA and protein profiles between APOE genotypes. Among these, several newly identified 10K and EV-associated molecules may play roles in AD progression. Possibly, larger genotype-related differences exist and are more apparent in or before earlier disease stages., (Copyright © 2022 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American Academy of Neurology.)
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- 2022
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35. Large-scale production of extracellular vesicles: Report on the "massivEVs" ISEV workshop.
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Paolini L, Monguió-Tortajada M, Costa M, Antenucci F, Barilani M, Clos-Sansalvador M, Andrade AC, Driedonks TAP, Giancaterino S, Kronstadt SM, Mizenko RR, Nawaz M, Osteikoetxea X, Pereira C, Shrivastava S, Boysen AT, van de Wakker SI, van Herwijnen MJC, Wang X, Watson DC, Gimona M, Kaparakis-Liaskos M, Konstantinov K, Lim SK, Meisner-Kober N, Stork M, Nejsum P, Radeghieri A, Rohde E, Touzet N, Wauben MHM, Witwer KW, Bongiovanni A, and Bergese P
- Abstract
Extracellular vesicles (EVs) large-scale production is a crucial point for the translation of EVs from discovery to application of EV-based products. In October 2021, the International Society for Extracellular Vesicles (ISEV), along with support by the FET-OPEN projects, "The Extracellular Vesicle Foundry" (evFOUNDRY) and "Extracellular vesicles from a natural source for tailor-made nanomaterials" (VES4US), organized a workshop entitled "massivEVs" to discuss the potential challenges for translation of EV-based products. This report gives an overview of the topics discussed during "massivEVs", the most important points raised, and the points of consensus reached after discussion among academia and industry representatives. Overall, the review of the existing EV manufacturing, upscaling challenges and directions for their resolution highlighted in the workshop painted an optimistic future for the expanding EV field., Competing Interests: No potential conflict of interest was reported by the authors., (© 2022 The Authors. Journal of Extracellular Biology published by Wiley Periodicals, LLC on behalf of the International Society for Extracellular Vesicles.)
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- 2022
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36. CDC6: A novel canine tumour biomarker detected in circulating extracellular vesicles.
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Andriessen A, Bongiovanni L, Driedonks TAP, van Liere E, Seijger A, Hegeman CV, van Nimwegen SA, Galac S, Westendorp B, Nolte-'t Hoen ENM, and de Bruin A
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- Animals, Biomarkers, Tumor metabolism, Dogs, Liquid Biopsy methods, Liquid Biopsy veterinary, RNA, Messenger genetics, RNA, Messenger metabolism, Dog Diseases diagnosis, Dog Diseases metabolism, Extracellular Vesicles, Neoplasms diagnosis, Neoplasms metabolism, Neoplasms veterinary
- Abstract
Circulating nucleic acids and extracellular vesicles (EV) represent novel biomarkers to diagnose cancer. The non-invasive nature of these so-called liquid biopsies provides an attractive alternative to tissue biopsy-based cancer diagnostics. This study aimed to investigate if circulating cell cycle-related E2F target transcripts can be used to diagnose tumours in canine tumour patients with different types of tumours. Furthermore, we assessed if these mRNAs are localised within circulating EV. We isolated total RNA from the plasma of 20 canine tumour patients and 20 healthy controls. Four E2F target genes (CDC6, DHFR, H2AFZ and ATAD2) were selected based on the analysis of published data of tumour samples available in public databases. We performed reverse transcription and quantitative real-time PCR to analyse the plasma levels of selected E2F target transcripts. All four E2F target transcripts were detectable in the plasma of canine tumour patients. CDC6 mRNA levels were significantly higher in the plasma of canine tumour patients compared to healthy controls. A subset of canine tumour patient and healthy control plasma samples (n = 7) were subjected to size exclusion chromatography in order to validate association of the E2F target transcripts to circulating EV. For CDC6, EV analysis enhanced their detectability compared to total plasma analysis. In conclusion, our study reveals circulating CDC6 as a promising non-invasive biomarker to diagnose canine tumours., (© 2021 The Authors. Veterinary and Comparative Oncology published by John Wiley & Sons Ltd.)
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- 2022
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37. A bacterial extracellular vesicle-based intranasal vaccine against SARS-CoV-2 protects against disease and elicits neutralizing antibodies to wild-type and Delta variants.
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Jiang L, Driedonks TAP, Jong WSP, Dhakal S, Bart van den Berg van Saparoea H, Sitaras I, Zhou R, Caputo C, Littlefield K, Lowman M, Chen M, Lima G, Gololobova O, Smith B, Mahairaki V, Riley Richardson M, Mulka KR, Lane AP, Klein SL, Pekosz A, Brayton C, Mankowski JL, Luirink J, Villano JS, and Witwer KW
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- Animals, Antibodies, Neutralizing, COVID-19 Vaccines, Humans, Liposomes, Mammals, Nanoparticles, SARS-CoV-2, COVID-19 prevention & control, Extracellular Vesicles, Viral Vaccines
- Abstract
Several vaccines have been introduced to combat the coronavirus infectious disease-2019 (COVID-19) pandemic, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Current SARS-CoV-2 vaccines include mRNA-containing lipid nanoparticles or adenoviral vectors that encode the SARS-CoV-2 Spike (S) protein of SARS-CoV-2, inactivated virus, or protein subunits. Despite growing success in worldwide vaccination efforts, additional capabilities may be needed in the future to address issues such as stability and storage requirements, need for vaccine boosters, desirability of different routes of administration, and emergence of SARS-CoV-2 variants such as the Delta variant. Here, we present a novel, well-characterized SARS-CoV-2 vaccine candidate based on extracellular vesicles (EVs) of Salmonella typhimurium that are decorated with the mammalian cell culture-derived Spike receptor-binding domain (RBD). RBD-conjugated outer membrane vesicles (RBD-OMVs) were used to immunize the golden Syrian hamster (Mesocricetus auratus) model of COVID-19. Intranasal immunization resulted in high titres of blood anti-RBD IgG as well as detectable mucosal responses. Neutralizing antibody activity against wild-type and Delta variants was evident in all vaccinated subjects. Upon challenge with live virus, hamsters immunized with RBD-OMV, but not animals immunized with unconjugated OMVs or a vehicle control, avoided body mass loss, had lower virus titres in bronchoalveolar lavage fluid, and experienced less severe lung pathology. Our results emphasize the value and versatility of OMV-based vaccine approaches., (© 2022 The Authors. Journal of Extracellular Vesicles published by Wiley Periodicals, LLC on behalf of the International Society for Extracellular Vesicles.)
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- 2022
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38. Brain Tissue-Derived Extracellular Vesicles in Alzheimer's Disease Display Altered Key Protein Levels Including Cell Type-Specific Markers.
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Huang Y, Driedonks TAP, Cheng L, Rajapaksha H, Routenberg DA, Nagaraj R, Redding J, Arab T, Powell BH, Pletniková O, Troncoso JC, Zheng L, Hill AF, Mahairaki V, and Witwer KW
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- Humans, Proteome metabolism, Brain pathology, Neurons metabolism, Alzheimer Disease pathology, Extracellular Vesicles metabolism
- Abstract
Background: Brain tissue-derived extracellular vesicles (bdEVs) play neurodegenerative and protective roles, including in Alzheimer's disease (AD). Extracellular vesicles (EVs) may also leave the brain to betray the state of the CNS in the periphery. Only a few studies have profiled the proteome of bdEVs and source brain tissue. Additionally, studies focusing on bdEV cell type-specific surface markers are rare., Objective: We aimed to reveal the pathological mechanisms inside the brain by profiling the tissue and bdEV proteomes in AD patients. In addition, to indicate targets for capturing and molecular profiling of bdEVs in the periphery, CNS cell-specific markers were profiled on the intact bdEV surface., Methods: bdEVs were separated and followed by EV counting and sizing. Brain tissue and bdEVs from age-matched AD patients and controls were then proteomically profiled. Total tau (t-tau), phosphorylated tau (p-tau), and antioxidant peroxiredoxins (PRDX) 1 and 6 were measured by immunoassay in an independent bdEV separation. Neuron, microglia, astrocyte, and endothelia markers were detected on intact EVs by multiplexed ELISA., Results: Overall, concentration of recovered bdEVs was not affected by AD. Proteome differences between AD and control were more pronounced for bdEVs than for brain tissue. Levels of t-tau, p-tau, PRDX1, and PRDX6 were significantly elevated in AD bdEVs compared with controls. Release of certain cell-specific bdEV markers was increased in AD., Conclusion: Several bdEV proteins are involved in AD mechanisms and may be used for disease monitoring. The identified CNS cell markers may be useful tools for peripheral bdEV capture.
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- 2022
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39. Y-RNA subtype ratios in plasma extracellular vesicles are cell type- specific and are candidate biomarkers for inflammatory diseases.
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Driedonks TAP, Mol S, de Bruin S, Peters AL, Zhang X, Lindenbergh MFS, Beuger BM, van Stalborch AD, Spaan T, de Jong EC, van der Vries E, Margadant C, van Bruggen R, Vlaar APJ, Groot Kormelink T, and Nolte-'t Hoen ENM
- Abstract
Major efforts are made to characterize the presence of microRNA (miRNA) and messenger RNA in blood plasma to discover novel disease-associated biomarkers. MiRNAs in plasma are associated to several types of macromolecular structures, including extracellular vesicles (EV), lipoprotein particles (LPP) and ribonucleoprotein particles (RNP). RNAs in these complexes are recovered at variable efficiency by commonly used EV- and RNA isolation methods, which causes biases and inconsistencies in miRNA quantitation. Besides miRNAs, various other non-coding RNA species are contained in EV and present within the pool of plasma extracellular RNA. Members of the Y-RNA family have been detected in EV from various cell types and are among the most abundant non-coding RNA types in plasma. We previously showed that shuttling of full-length Y-RNA into EV released by immune cells is modulated by microbial stimulation. This indicated that Y-RNAs could contribute to the functional properties of EV in immune cell communication and that EV-associated Y-RNAs could have biomarker potential in immune-related diseases. Here, we investigated which macromolecular structures in plasma contain full length Y-RNA and whether the levels of three Y-RNA subtypes in plasma (Y1, Y3 and Y4) change during systemic inflammation. Our data indicate that the majority of full length Y-RNA in plasma is stably associated to EV. Moreover, we discovered that EV from different blood-related cell types contain cell-type-specific Y-RNA subtype ratios. Using a human model for systemic inflammation, we show that the neutrophil-specific Y4/Y3 ratios and PBMC-specific Y3/Y1 ratios were significantly altered after induction of inflammation. The plasma Y-RNA ratios strongly correlated with the number and type of immune cells during systemic inflammation. Cell-type-specific "Y-RNA signatures" in plasma EV can be determined without prior enrichment for EV, and may be further explored as simple and fast test for diagnosis of inflammatory responses or other immune-related diseases., (© 2020 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group on behalf of The International Society for Extracellular Vesicles.)
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- 2020
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40. Bystander T-Cells Support Clonal T-Cell Activation by Controlling the Release of Dendritic Cell-Derived Immune-Stimulatory Extracellular Vesicles.
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Lindenbergh MFS, Koerhuis DGJ, Borg EGF, van 't Veld EM, Driedonks TAP, Wubbolts R, Stoorvogel W, and Boes M
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- Antigen Presentation immunology, Cells, Cultured, Cellular Microenvironment immunology, Humans, Intercellular Adhesion Molecule-1 metabolism, Lipopolysaccharides, MicroRNAs genetics, Tetraspanin 30 metabolism, CD4-Positive T-Lymphocytes immunology, CD8-Positive T-Lymphocytes immunology, Dendritic Cells immunology, Extracellular Vesicles immunology, Lymphocyte Activation immunology
- Abstract
Extracellular vesicles (EV) that are released by immune cells are studied intensively for their functions in immune regulation and are scrutinized for their potential in human immunotherapy, for example against cancer. In our search for signals that stimulate the release of functional EV by dendritic cells we observed that LPS-activated human monocyte-derived dendritic cells (moDC) changed their morphological characteristics upon contact with non-cognate activated bystander T-cells, while non-activated bystander T-cells had no effect. Exposure to activated bystander T-cells also stimulated the release of EV-associated proteins by moDC, particularly CD63, and ICAM-1, although the extent of stimulation varied between individual donors. Stimulation of moDC with activated bystander T-cells also increased the release of EV-associated miR155, which is a known central modulator of T-cell responses. Functionally, we observed that EV from moDC that were licensed by activated bystander T-cells exhibited a capacity for antigen-specific T-cell activation. Taken together, these results suggest that non-cognatei interactions between DC and bystander T-cells modulates third party antigen-specific T-cell responses via EV.
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- 2019
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41. Circulating Y-RNAs in Extracellular Vesicles and Ribonucleoprotein Complexes; Implications for the Immune System.
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Driedonks TAP and Nolte-'t Hoen ENM
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- Animals, Biological Transport, Biomarkers, Cell Communication, Exosomes metabolism, Extracellular Vesicles genetics, Humans, Immune System immunology, Immune System metabolism, Immunomodulation, RNA-Binding Proteins metabolism, Signal Transduction, Cell-Free Nucleic Acids, Extracellular Vesicles metabolism, Multiprotein Complexes metabolism, RNA, Small Untranslated metabolism, Ribonucleoproteins metabolism
- Abstract
The exchange of extracellular vesicles (EV) between immune cells plays a role in various immune regulatory processes. EV are nano-sized lipid bilayer-enclosed structures that contain a multitude of proteins and small non-coding RNA molecules. Of the various RNA classes present in EV, miRNAs have been most intensively studied because of their known gene-regulatory functions. These miRNAs constitute only a minor part of all EV-enclosed RNA, whereas other 20-200 nt sized non-coding RNAs were shown to be abundantly present in EV. Several of these mid-sized RNAs perform basic functions in cells, but their function in EV remains elusive. One prominent class of mid-sized extracellular RNAs associated with EV are the Y-RNAs. This family of highly conserved non-coding RNAs was initially discovered as RNA component of circulating ribonucleoprotein autoantigens in serum from Systemic Lupus Erythematosus and Sjögren's Syndrome patients. Y-RNA has been implicated in cellular processes such as DNA replication and RNA quality control. In recent years, Y-RNA has been abundantly detected in EV from multiple different cell lines and biofluids, and also in murine and human retroviruses. Accumulating evidence suggests that EV-associated Y-RNA may be involved in a range of immune-related processes, including inflammation, immune suppression, and establishment of the tumor microenvironment. Moreover, changes in plasma levels of extracellular Y-RNA have been associated with various diseases. Recent studies have aimed to address the mechanisms underlying their release and function. We for example showed that the levels of EV-associated Y-RNA released by immune cells can be regulated by Toll-like receptor (TLR) signaling. Combined, these data have triggered increased interest in extracellular Y-RNAs. In this review, we provide an overview of studies reporting the occurrence of extracellular Y-RNAs, as well as signaling properties and immune-related functions attributed to these RNAs. We list RNA-binding proteins currently known to interact with Y-RNAs and evaluate their occurrence in EV. In parallel, we discuss technical challenges in assessing whether extracellular Y-RNAs are contained in ribonucleoprotein complexes or EV. By integrating the current knowledge on extracellular Y-RNA we further reflect on the biomarker potential of Y-RNA and their role in immune cell communication and immunopathology.
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- 2019
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42. Technical approaches to reduce interference of Fetal calf serum derived RNA in the analysis of extracellular vesicle RNA from cultured cells.
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Driedonks TAP, Nijen Twilhaar MK, and Nolte-'t Hoen ENM
- Abstract
Foetal calf serum (FCS) is a common supplement of cell culture medium and a known source of contaminating extracellular vesicles (EV) containing RNA. Because of a high degree of sequence similarity among homologous non-coding RNAs of mammalian species, residual FCS-RNA in culture medium may interfere in the analysis of EV-RNA released by cultured cells. Recently, doubts have been raised as to whether commonly used protocols for depletion of FCS-EV efficiently remove FCS-RNA. Moreover, technical details in FCS-EV depletion protocols are known to vary between labs, which may lead to inter-study differences in contaminating FCS-RNA levels. Here, we investigated how technical modifications of EV-depletion protocols affect the efficiency with which bovine RNAs are depleted from FCS, and determined the contribution of contaminating bovine RNA to EV-RNA purified from cell cultures. Our data show differences in depletion efficiency between and within various classes of small non-coding RNA. Importantly, we demonstrate that variations in FCS-EV depletion protocols affect both the quantity and type of residual FCS-RNAs in EV-depleted medium. By using optimised FCS-EV depletion protocols combined with methods for high-grade purification of EV the levels of contaminating bovine RNA in EV populations isolated from cell culture medium can be reduced. With illustrative datasets we also demonstrate that the abundance of a specific RNA in cell culture EV can only be determined if measured relative to background levels of this RNA in medium control samples. These data highlight the need for optimisation and validation of existing and novel FCS-EV depletion methods and urge for accurate descriptions of these methods in publications to increase experimental reproducibility.
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- 2018
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43. Immune stimuli shape the small non-coding transcriptome of extracellular vesicles released by dendritic cells.
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Driedonks TAP, van der Grein SG, Ariyurek Y, Buermans HPJ, Jekel H, Chow FWN, Wauben MHM, Buck AH, 't Hoen PAC, and Nolte-'t Hoen ENM
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- Animals, Bone Marrow Cells cytology, Cells, Cultured, Cholecalciferol pharmacology, Dendritic Cells cytology, Dendritic Cells drug effects, Extracellular Vesicles metabolism, Fluorescent Dyes chemistry, Lipopolysaccharides pharmacology, Mice, Mice, Inbred C57BL, MicroRNAs metabolism, Microscopy, Electron, Nanoparticles chemistry, RNA, Small Nucleolar metabolism, RNA, Small Untranslated chemistry, RNA, Small Untranslated isolation & purification, RNA, Small Untranslated metabolism, RNA, Transfer metabolism, Sequence Analysis, RNA, Dendritic Cells metabolism, Extracellular Vesicles genetics, Transcriptome
- Abstract
The release and uptake of nano-sized extracellular vesicles (EV) is a highly conserved means of intercellular communication. The molecular composition of EV, and thereby their signaling function to target cells, is regulated by cellular activation and differentiation stimuli. EV are regarded as snapshots of cells and are, therefore, in the limelight as biomarkers for disease. Although research on EV-associated RNA has predominantly focused on microRNAs, the transcriptome of EV consists of multiple classes of small non-coding RNAs with potential gene-regulatory functions. It is not known whether environmental cues imposed on cells induce specific changes in a broad range of EV-associated RNA classes. Here, we investigated whether immune-activating or -suppressing stimuli imposed on primary dendritic cells affected the release of various small non-coding RNAs via EV. The small RNA transcriptomes of highly pure EV populations free from ribonucleoprotein particles were analyzed by RNA sequencing and RT-qPCR. Immune stimulus-specific changes were found in the miRNA, snoRNA, and Y-RNA content of EV from dendritic cells, whereas tRNA and snRNA levels were much less affected. Only part of the changes in EV-RNA content reflected changes in cellular RNA, which urges caution in interpreting EV as snapshots of cells. By comprehensive analysis of RNA obtained from highly purified EV, we demonstrate that multiple RNA classes contribute to genetic messages conveyed via EV. The identification of multiple RNA classes that display cell stimulation-dependent association with EV is the prelude to unraveling the function and biomarker potential of these EV-RNAs.
- Published
- 2018
- Full Text
- View/download PDF
44. Abundantly Present miRNAs in Milk-Derived Extracellular Vesicles Are Conserved Between Mammals.
- Author
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van Herwijnen MJC, Driedonks TAP, Snoek BL, Kroon AMT, Kleinjan M, Jorritsma R, Pieterse CMJ, Hoen ENMN, and Wauben MHM
- Abstract
Mammalian milk is not only a source of nutrition for the newborn, but also contains various components that regulate further development. For instance, milk is an abundant source of microRNAs (miRNAs), which are evolutionary conserved small non-coding RNAs that are involved in post-transcriptional regulation of target mRNA. MiRNAs present in milk can occur in extracellular vesicles (EVs), which are nanosized membrane vesicles released by many cell types as a means of intercellular communication. The membrane of EVs protects enclosed miRNAs from degradation and harbors molecules that allow specific targeting to recipient cells. Although several studies have investigated the miRNA content in milk EVs from individual species, little is known about the evolutionary conserved nature of EV-associated miRNAs among different species. In this study, we profiled the miRNA content of purified EVs from human and porcine milk. These data were compared to published studies on EVs from human, cow, porcine, and panda milk to assess the overlap in the top 20 most abundant miRNAs. Interestingly, several abundant miRNAs were shared between species (e.g., let-7 family members let-7a, let-7b, let-7f, and miR-148a). Moreover, these miRNAs have been implicated in immune-related functions and regulation of cell growth and signal transduction. The conservation of these miRNA among species, not only in their sequence homology, but also in their incorporation in milk EVs of several species, suggests that they are evolutionarily selected to regulate cell function in the newborn.
- Published
- 2018
- Full Text
- View/download PDF
45. Erratum: Comprehensive multi-center assessment of small RNA-seq methods for quantitative miRNA profiling.
- Author
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Giraldez MD, Spengler RM, Etheridge A, Godoy PM, Barczak AJ, Srinivasan S, Hoff PL, Tanriverdi K, Courtright A, Lu S, Khoory J, Rubio R, Baxter D, Driedonks TAP, Buermans HPJ, Hoen ENMN, Jiang H, Wang K, Ghiran I, Wang YE, Keuren-Jensen KV, Freedman JE, Woodruff PG, Laurent LC, Erle DJ, Galas DJ, and Tewari M
- Published
- 2018
- Full Text
- View/download PDF
46. Comprehensive multi-center assessment of small RNA-seq methods for quantitative miRNA profiling.
- Author
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Giraldez MD, Spengler RM, Etheridge A, Godoy PM, Barczak AJ, Srinivasan S, De Hoff PL, Tanriverdi K, Courtright A, Lu S, Khoory J, Rubio R, Baxter D, Driedonks TAP, Buermans HPJ, Nolte-'t Hoen ENM, Jiang H, Wang K, Ghiran I, Wang YE, Van Keuren-Jensen K, Freedman JE, Woodruff PG, Laurent LC, Erle DJ, Galas DJ, and Tewari M
- Subjects
- Adenosine genetics, Humans, Inosine genetics, MicroRNAs blood, MicroRNAs standards, RNA Editing, Reference Standards, Reproducibility of Results, MicroRNAs genetics, Sequence Analysis, RNA methods
- Abstract
RNA-seq is increasingly used for quantitative profiling of small RNAs (for example, microRNAs, piRNAs and snoRNAs) in diverse sample types, including isolated cells, tissues and cell-free biofluids. The accuracy and reproducibility of the currently used small RNA-seq library preparation methods have not been systematically tested. Here we report results obtained by a consortium of nine labs that independently sequenced reference, 'ground truth' samples of synthetic small RNAs and human plasma-derived RNA. We assessed three commercially available library preparation methods that use adapters of defined sequence and six methods using adapters with degenerate bases. Both protocol- and sequence-specific biases were identified, including biases that reduced the ability of small RNA-seq to accurately measure adenosine-to-inosine editing in microRNAs. We found that these biases were mitigated by library preparation methods that incorporate adapters with degenerate bases. MicroRNA relative quantification between samples using small RNA-seq was accurate and reproducible across laboratories and methods.
- Published
- 2018
- Full Text
- View/download PDF
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