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5,589 results on '"SNYDER, MICHAEL"'

51. Chimpanzee and pig-tailed macaque iPSCs: Improved culture and generation of primate cross-species embryos

Author

Roodgar, Morteza, Suchy, Fabian P, Nguyen, Lan H, Bajpai, Vivek K, Sinha, Rahul, Vilches-Moure, Jose G, Van Bortle, Kevin, Bhadury, Joydeep, Metwally, Ahmed, Jiang, Lihua, Jian, Ruiqi, Chiang, Rosaria, Oikonomopoulos, Angelos, Wu, Joseph C, Weissman, Irving L, Mankowski, Joseph L, Holmes, Susan, Loh, Kyle M, Nakauchi, Hiromitsu, VandeVoort, Catherine A, and Snyder, Michael P

Subjects
Biological Sciences, Stem Cell Research, Stem Cell Research - Induced Pluripotent Stem Cell, Biotechnology, Stem Cell Research - Nonembryonic - Non-Human, Animals, Induced Pluripotent Stem Cells, Macaca mulatta, Macaca nemestrina, Pan troglodytes, Proteomics, CP: Developmental biology, Nonhuman primates, blastocyst, BCL2, chimpanzee, cross-species embryos, iPSCs, interspecies chimera, pig-tailed macaque, Biochemistry and Cell Biology, Medical Physiology, Biological sciences
Abstract

As our closest living relatives, non-human primates uniquely enable explorations of human health, disease, development, and evolution. Considerable effort has thus been devoted to generating induced pluripotent stem cells (iPSCs) from multiple non-human primate species. Here, we establish improved culture methods for chimpanzee (Pan troglodytes) and pig-tailed macaque (Macaca nemestrina) iPSCs. Such iPSCs spontaneously differentiate in conventional culture conditions, but can be readily propagated by inhibiting endogenous WNT signaling. As a unique functional test of these iPSCs, we injected them into the pre-implantation embryos of another non-human species, rhesus macaques (Macaca mulatta). Ectopic expression of gene BCL2 enhances the survival and proliferation of chimpanzee and pig-tailed macaque iPSCs within the pre-implantation embryo, although the identity and long-term contribution of the transplanted cells warrants further investigation. In summary, we disclose transcriptomic and proteomic data, cell lines, and cell culture resources that may be broadly enabling for non-human primate iPSCs research.

Published
2022

52. Systems Analysis of de novo Mutations in Congenital Heart Diseases Identified a Molecular Network in Hypoplastic Left Heart Syndrome

Author

Wang, Yuejun Jessie, Zhang, Xicheng, Lam, Chi Keung, Guo, Hongchao, Wang, Cheng, Zhang, Sai, Wu, Joseph C, Snyder, Michael, and Li, Jingjing

Subjects
Biotechnology, Heart Disease, Infant Mortality, Human Genome, Genetics, Pediatric Research Initiative, Congenital Structural Anomalies, Cardiovascular, Perinatal Period - Conditions Originating in Perinatal Period, Pediatric, 2.1 Biological and endogenous factors, Aetiology
Abstract

AbstractCongenital heart diseases (CHD) are a class of birth defects affecting ∼1% of live births. These conditions are hallmarked by extreme genetic heterogeneity, and therefore, despite a strong genetic component, only a very handful of at-risk loci in CHD have been identified. We herein introduced systems analyses to uncover the hidden organization on biological networks of genomic mutations in CHD, and leveraged network analysis techniques to integrate the human interactome, large-scale patient exomes, the fetal heart spatial transcriptomes, and single-cell transcriptomes of clinical samples. We identified a highly connected network in CHD where most of the member proteins had previously uncharacterized functions in regulating fetal heart development. While genes on the network displayed strong enrichment for heart-specific functions, a sub-group, active specifically at early developmental stages, also regulates fetal brain development, thereby providing mechanistic insights into the clinical comorbidities between CHD and neurodevelopmental conditions. At a small scale, we experimentally verified previously uncharacterized cardiac functions of several novel proteins employing cellular assays and gene editing techniques. At a global scale, our study revealed developmental dynamics of the identified CHD network and observed the strongest enrichment for pathogenic mutations in the network specific to hypoplastic left heart syndrome (HLHS). Our single-cell transcriptome analysis further identified pervasive dysregulation of the network in cardiac endothelial cells and the conduction system in the HLHS left ventricle. Taken together, our systems analyses identified novel factors in CHD, revealed key molecular mechanisms in HLHS, and provides a generalizable framework readily applicable to studying many other complex diseases.

Published
2022

53. An exercise-inducible metabolite that suppresses feeding and obesity.

Author

Li, Veronica L, He, Yang, Contrepois, Kévin, Liu, Hailan, Kim, Joon T, Wiggenhorn, Amanda L, Tanzo, Julia T, Tung, Alan Sheng-Hwa, Lyu, Xuchao, Zushin, Peter-James H, Jansen, Robert S, Michael, Basil, Loh, Kang Yong, Yang, Andrew C, Carl, Christian S, Voldstedlund, Christian T, Wei, Wei, Terrell, Stephanie M, Moeller, Benjamin C, Arthur, Rick M, Wallis, Gareth A, van de Wetering, Koen, Stahl, Andreas, Kiens, Bente, Richter, Erik A, Banik, Steven M, Snyder, Michael P, Xu, Yong, and Long, Jonathan Z

Subjects
Animals, Mice, Diabetes Mellitus, Type 2, Obesity, Disease Models, Animal, Body Weight, Lactic Acid, Glucose, Phenylalanine, Physical Conditioning, Animal, Feeding Behavior, Energy Metabolism, Eating, Adiposity, Nutrition, Diabetes, Cardiovascular, Metabolic and endocrine, Cancer, Stroke, Oral and gastrointestinal, General Science & Technology
Abstract

Exercise confers protection against obesity, type 2 diabetes and other cardiometabolic diseases1-5. However, the molecular and cellular mechanisms that mediate the metabolic benefits of physical activity remain unclear6. Here we show that exercise stimulates the production of N-lactoyl-phenylalanine (Lac-Phe), a blood-borne signalling metabolite that suppresses feeding and obesity. The biosynthesis of Lac-Phe from lactate and phenylalanine occurs in CNDP2+ cells, including macrophages, monocytes and other immune and epithelial cells localized to diverse organs. In diet-induced obese mice, pharmacological-mediated increases in Lac-Phe reduces food intake without affecting movement or energy expenditure. Chronic administration of Lac-Phe decreases adiposity and body weight and improves glucose homeostasis. Conversely, genetic ablation of Lac-Phe biosynthesis in mice increases food intake and obesity following exercise training. Last, large activity-inducible increases in circulating Lac-Phe are also observed in humans and racehorses, establishing this metabolite as a molecular effector associated with physical activity across multiple activity modalities and mammalian species. These data define a conserved exercise-inducible metabolite that controls food intake and influences systemic energy balance.

Published
2022

54. Effects of an immersive psychosocial training program on depression and well-being: A randomized clinical trial.

Author

Ganz, Ariel B, Rolnik, Benjamin, Chakraborty, Meenakshi, Wilson, Jacob, Tau, Cyrus, Sharp, Matthew, Reber, Dallen, Slavich, George M, and Snyder, Michael P

Subjects
Humans, Single-Blind Method, Depression, Anxiety, Loneliness, Anxiety Disorders, Adult, Health, Intervention, Resilience, Stress, Well-being, Mental Health, Clinical Trials and Supportive Activities, Clinical Research, Behavioral and Social Science, Rehabilitation, Brain Disorders, Evaluation of treatments and therapeutic interventions, 6.6 Psychological and behavioural, 6.1 Pharmaceuticals, Mental health, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry
Abstract

Psychiatry stands to benefit from brief non-pharmacological treatments that effectively reduce depressive symptoms. To address this need, we conducted a single-blind randomized clinical trial assessing how a 6-day immersive psychosocial training program, followed by 10-min daily psychosocial exercises for 30 days, improves depressive symptoms. Forty-five adults were block-randomized by depression score to two arms: (a) the immersive psychosocial training program and 10-min daily exercise group (36 days total; total n = 23; depressed at baseline n = 14); or (b) a gratitude journaling control group (36 days total; total n = 22; depressed at baseline n = 13). The self-report PHQ-9 was used to assess depression levels in both groups at three time points: baseline, study week one, and study week six. Depression severity improved over time, with a significantly greater reduction in the psychosocial training program group (-82.7%) vs. the control group (-23%), p = 0.02 for baseline vs. week six. The effect size for this reduction in depression symptoms was large for the intervention group (d = -1.3; 95% CI, -2.07, -0.45; p

Published
2022

55. Learning Personal Food Preferences via Food Logs Embedding

Author

Metwally, Ahmed A., Leong, Ariel K., Desai, Aman, Nagarjuna, Anvith, Perelman, Dalia, and Snyder, Michael

Subjects
Computer Science - Computation and Language, Computer Science - Machine Learning
Abstract

Diet management is key to managing chronic diseases such as diabetes. Automated food recommender systems may be able to assist by providing meal recommendations that conform to a user's nutrition goals and food preferences. Current recommendation systems suffer from a lack of accuracy that is in part due to a lack of knowledge of food preferences, namely foods users like to and are able to eat frequently. In this work, we propose a method for learning food preferences from food logs, a comprehensive but noisy source of information about users' dietary habits. We also introduce accompanying metrics. The method generates and compares word embeddings to identify the parent food category of each food entry and then calculates the most popular. Our proposed approach identifies 82% of a user's ten most frequently eaten foods. Our method is publicly available on (https://github.com/aametwally/LearningFoodPreferences)

Published
2021

57. Molecular adaptations in response to exercise training are associated with tissue-specific transcriptomic and epigenomic signatures

Author

Adkins, Joshua N., Almagro Armenteros, Jose Juan, Ashley, Euan, Bae, Dam, Bamman, Marcas, Bararpour, Nasim, Bennett, Alexis, Bergman, Bryan C., Bessesen, Daniel H., Bodine, Sue C., Buford, Thomas W., Chambers, Toby L., Chavez, Clarisa, Cortes, Tiffany, Cutter, Gary, Espinoza, Sara, Fernández, Facundo M., Gagne, Nicole, Gaul, David A., Goodpaster, Bret H., Hung, Chia-Jui, Jackson, Bailey E., Jankowski, Catherine M., Jin, Christopher A., Kohrt, Wendy M., Kramer, Kyle S., Lester, Bridget, Lira, Ana K., May, Sandy, Marjanovic, Nada, Melanson, Edward L., Moore, Samuel G., Moreau, Kerrie L., Musi, Nicolas, Nachum, Daniel, Nudelman, German, Pahor, Marco, Patel, Darpan, Piehowski, Paul D., Qian, Wei-Jun, Rasmussen, Blake B., Rirak, Stas, Rooney, Jessica L., Sanford, James A., Savage, Evan M., Schauer, Irene E., Serra, Monica, Stowe, Cynthia L., Thalacker-Mercer, Anna, Trappe, Todd A., Trappe, Scott, Vetr, Nikolai G., Volpi, Elena, Wheeler, Matthew T., Wu, Si, Zebarjadi, Navid, Zhen, Jimmy, Nair, Venugopalan D., Pincas, Hanna, Smith, Gregory R., Zaslavsky, Elena, Ge, Yongchao, Amper, Mary Anne S., Vasoya, Mital, Chikina, Maria, Sun, Yifei, Raja, Archana Natarajan, Mao, Weiguang, Gay, Nicole R., Esser, Karyn A., Smith, Kevin S., Zhao, Bingqing, Wiel, Laurens, Singh, Aditya, Lindholm, Malene E., Amar, David, Montgomery, Stephen, Snyder, Michael P., Walsh, Martin J., and Sealfon, Stuart C.

Published
2024
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58. The mitochondrial multi-omic response to exercise training across rat tissues

Author

Adkins, Joshua N., Armenteros, Jose Juan Almagro, Amper, Mary Anne S., Bae, Dam, Bamman, Marcas, Bararpour, Nasim, Barnes, Jerry, Bergman, Bryan C., Bessesen, Daniel H., Broskey, Nicholas T., Buford, Thomas W., Carr, Steven, Chambers, Toby L., Chavez, Clarisa, Chiu, Roxanne, Clark, Natalie, Cutter, Gary, Evans, Charles R., Franczak, Edziu, Gagne, Nicole, Ge, Yongchao, Hennig, Krista M., Houmard, Joseph A., Huffman, Kim M., Hung, Chia-Jui, Hutchinson-Bunch, Chelsea, Ilkayeva, Olga, Jackson, Bailey E., Jankowski, Catherine M., Jin, Christopher A., Johannsen, Neil M., Katz, Daniel H., Keshishian, Hasmik, Kohrt, Wendy M., Kramer, Kyle S., Kraus, William E., Lester, Bridget, Li, Jun Z., Lira, Ana K., Lowe, Adam, Mani, D.R., Many, Gina M., May, Sandy, Melanson, Edward L., Moore, Samuel G., Moreau, Kerrie L., Musi, Nicolas, Nachun, Daniel, Nair, Venugopalan D., Newgard, Christopher, Nudelman, German, Piehowski, Paul D., Pincas, Hanna, Qian, Wei-Jun, Rankinen, Tuomo, Rasmussen, Blake B., Ravussin, Eric, Rooney, Jessica L., Rushing, Scott, Samdarshi, Mihir, Sanford, James A., Schauer, Irene E., Sealfon, Stuart C., Smith, Kevin S., Smith, Gregory R., Snyder, Michael, Stowe, Cynthia L., Talton, Jennifer W., Teng, Christopher, Thalacker-Mercer, Anna, Tracy, Russell, Trappe, Scott, Trappe, Todd A., Vasoya, Mital, Vetr, Nikolai G., Volpi, Elena, Walkup, Michael P., Wiel, Laurens, Wu, Si, Yan, Zhen, Yu, Jiye, Zaslavsky, Elena, Zebarjadi, Navid, Zhen, Jimmy, Amar, David, Gay, Nicole R., Jimenez-Morales, David, Jean Beltran, Pierre M., Ramaker, Megan E., Raja, Archana Natarajan, Zhao, Bingqing, Sun, Yifei, Marwaha, Shruti, Gaul, David A., Hershman, Steven G., Ferrasse, Alexis, Xia, Ashley, Lanza, Ian, Fernández, Facundo M., Montgomery, Stephen B., Hevener, Andrea L., Ashley, Euan A., Walsh, Martin J., Sparks, Lauren M., Burant, Charles F., Rector, R. Scott, Thyfault, John, Wheeler, Matthew T., Goodpaster, Bret H., Coen, Paul M., Schenk, Simon, Bodine, Sue C., and Lindholm, Malene E.

Published
2024
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62. The ENCODE Imputation Challenge: a critical assessment of methods for cross-cell type imputation of epigenomic profiles

Author

Schreiber, Jacob, Boix, Carles, wook Lee, Jin, Li, Hongyang, Guan, Yuanfang, Chang, Chun-Chieh, Chang, Jen-Chien, Hawkins-Hooker, Alex, Schölkopf, Bernhard, Schweikert, Gabriele, Carulla, Mateo Rojas, Canakoglu, Arif, Guzzo, Francesco, Nanni, Luca, Masseroli, Marco, Carman, Mark James, Pinoli, Pietro, Hong, Chenyang, Yip, Kevin Y., Spence, Jeffrey P., Batra, Sanjit Singh, Song, Yun S., Mahony, Shaun, Zhang, Zheng, Tan, Wuwei, Shen, Yang, Sun, Yuanfei, Shi, Minyi, Adrian, Jessika, Sandstrom, Richard, Farrell, Nina, Halow, Jessica, Lee, Kristen, Jiang, Lixia, Yang, Xinqiong, Epstein, Charles, Strattan, J. Seth, Bernstein, Bradley, Snyder, Michael, Kellis, Manolis, Stafford, William, and Kundaje, Anshul

Published
2023
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63. A cancer-associated RNA polymerase III identity drives robust transcription and expression of snaR-A noncoding RNA.

Author

Van Bortle, Kevin, Marciano, David, Liu, Qing, Chou, Tristan, Lipchik, Andrew, Gollapudi, Sanjay, Geller, Benjamin, Monte, Emma, Kamakaka, Rohinton, and Snyder, Michael

Subjects
Animals, Chromatin, Humans, Mammals, Neoplasms, Protein Isoforms, RNA Polymerase III, RNA, Small Untranslated
Abstract

RNA polymerase III (Pol III) includes two alternate isoforms, defined by mutually exclusive incorporation of subunit POLR3G (RPC7α) or POLR3GL (RPC7β), in mammals. The contributions of POLR3G and POLR3GL to transcription potential has remained poorly defined. Here, we discover that loss of subunit POLR3G is accompanied by a restricted repertoire of genes transcribed by Pol III. Particularly sensitive is snaR-A, a small noncoding RNA implicated in cancer proliferation and metastasis. Analysis of Pol III isoform biases and downstream chromatin features identifies loss of POLR3G and snaR-A during differentiation, and conversely, re-establishment of POLR3G gene expression and SNAR-A gene features in cancer contexts. Our results support a model in which Pol III identity functions as an important transcriptional regulatory mechanism. Upregulation of POLR3G, which is driven by MYC, identifies a subgroup of patients with unfavorable survival outcomes in specific cancers, further implicating the POLR3G-enhanced transcription repertoire as a potential disease factor.

Published
2022

64. Author Correction: Perspectives on ENCODE

Author

Snyder, Michael P, Gingeras, Thomas R, Moore, Jill E, Weng, Zhiping, Gerstein, Mark B, Ren, Bing, Hardison, Ross C, Stamatoyannopoulos, John A, Graveley, Brenton R, Feingold, Elise A, Pazin, Michael J, Pagan, Michael, Gilchrist, Daniel A, Hitz, Benjamin C, Cherry, J Michael, Bernstein, Bradley E, Mendenhall, Eric M, Zerbino, Daniel R, Frankish, Adam, Flicek, Paul, and Myers, Richard M

Subjects
ENCODE Project Consortium, General Science & Technology
Abstract

In this Article, the authors Rizi Ai (Department of Chemistry and Biochemistry, University of California, San Diego, La Jolla, CA, USA) and Shantao Li (Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA) were mistakenly omitted from the ENCODE Project Consortium author list. The original Article has been corrected online.

Published
2022

65. Author Correction: Expanded encyclopaedias of DNA elements in the human and mouse genomes

Author

Moore, Jill E, Purcaro, Michael J, Pratt, Henry E, Epstein, Charles B, Shoresh, Noam, Adrian, Jessika, Kawli, Trupti, Davis, Carrie A, Dobin, Alexander, Kaul, Rajinder, Halow, Jessica, Van Nostrand, Eric L, Freese, Peter, Gorkin, David U, Shen, Yin, He, Yupeng, Mackiewicz, Mark, Pauli-Behn, Florencia, Williams, Brian A, Mortazavi, Ali, Keller, Cheryl A, Zhang, Xiao-Ou, Elhajjajy, Shaimae I, Huey, Jack, Dickel, Diane E, Snetkova, Valentina, Wei, Xintao, Wang, Xiaofeng, Rivera-Mulia, Juan Carlos, Rozowsky, Joel, Zhang, Jing, Chhetri, Surya B, Zhang, Jialing, Victorsen, Alec, White, Kevin P, Visel, Axel, Yeo, Gene W, Burge, Christopher B, Lécuyer, Eric, Gilbert, David M, Dekker, Job, Rinn, John, Mendenhall, Eric M, Ecker, Joseph R, Kellis, Manolis, Klein, Robert J, Noble, William S, Kundaje, Anshul, Guigó, Roderic, Farnham, Peggy J, Cherry, J Michael, Myers, Richard M, Ren, Bing, Graveley, Brenton R, Gerstein, Mark B, Pennacchio, Len A, Snyder, Michael P, Bernstein, Bradley E, Wold, Barbara, Hardison, Ross C, Gingeras, Thomas R, Stamatoyannopoulos, John A, and Weng, Zhiping

Subjects
ENCODE Project Consortium, General Science & Technology
Abstract

In the version of this article initially published, two members of the ENCODE Project Consortium were missing from the author list. Rizi Ai (Department of Chemistry and Biochemistry, University of California, San Diego, La Jolla, CA, USA) and Shantao Li (Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA) are now included in the author list. These errors have been corrected in the online version of the article.

Published
2022

66. Spatial mapping of protein composition and tissue organization: a primer for multiplexed antibody-based imaging.

Author

Hickey, John, Neumann, Elizabeth, Radtke, Andrea, Camarillo, Jeannie, Beuschel, Rebecca, Albanese, Alexandre, McDonough, Elizabeth, Hatler, Julia, Wiblin, Anne, Fisher, Jeremy, Croteau, Josh, Small, Eliza, Sood, Anup, Caprioli, Richard, Angelo, R, Nolan, Garry, Chung, Kwanghun, Hewitt, Stephen, Germain, Ronald, Spraggins, Jeffrey, Lundberg, Emma, Snyder, Michael, Kelleher, Neil, and Saka, Sinem

Subjects
Antibodies, Cell Communication, Diagnostic Imaging
Abstract

Tissues and organs are composed of distinct cell types that must operate in concert to perform physiological functions. Efforts to create high-dimensional biomarker catalogs of these cells have been largely based on single-cell sequencing approaches, which lack the spatial context required to understand critical cellular communication and correlated structural organization. To probe in situ biology with sufficient depth, several multiplexed protein imaging methods have been recently developed. Though these technologies differ in strategy and mode of immunolabeling and detection tags, they commonly utilize antibodies directed against protein biomarkers to provide detailed spatial and functional maps of complex tissues. As these promising antibody-based multiplexing approaches become more widely adopted, new frameworks and considerations are critical for training future users, generating molecular tools, validating antibody panels, and harmonizing datasets. In this Perspective, we provide essential resources, key considerations for obtaining robust and reproducible imaging data, and specialized knowledge from domain experts and technology developers.

Published
2022

68. MITI Minimum Information guidelines for highly multiplexed tissue images

Author

Schapiro, Denis, Yapp, Clarence, Sokolov, Artem, Reynolds, Sheila M., Chen, Yu-An, Sudar, Damir, Xie, Yubin, Muhlich, Jeremy L., Arias-Camison, Raquel, Arena, Sarah, Taylor, Adam J., Nikolov, Milen, Tyler, Madison, Lin, Jia-Ren, Burlingame, Erik A., Network, Human Tumor Atlas, Chang, Young H., Farhi, Samouil L, Thorsson, Vésteinn, Venkatamohan, Nithya, Drewes, Julia L., Pe'er, Dana, Gutman, David A., Herrmann, Markus D., Gehlenborg, Nils, Bankhead, Peter, Roland, Joseph T., Herndon, John M., Snyder, Michael P., Angelo, Michael, Nolan, Garry, Swedlow, Jason R., Schultz, Nikolaus, Merrick, Daniel T., Mazzilli, Sarah A., Cerami, Ethan, Rodig, Scott J., Santagata, Sandro, and Sorger, Peter K.

Subjects
Quantitative Biology - Other Quantitative Biology, Electrical Engineering and Systems Science - Image and Video Processing
Abstract

The imminent release of tissue atlases combining multi-channel microscopy with single cell sequencing and other omics data from normal and diseased specimens creates an urgent need for data and metadata standards that guide data deposition, curation and release. We describe a Minimum Information about highly multiplexed Tissue Imaging (MITI) standard that applies best practices developed for genomics and other microscopy data to highly multiplexed tissue images and traditional histology.

Published
2021

69. Spatial mapping of protein composition and tissue organization: a primer for multiplexed antibody-based imaging

Author

Hickey, John W., Neumann, Elizabeth K., Radtke, Andrea J., Camarillo, Jeannie M., Beuschel, Rebecca T., Albanese, Alexandre, McDonough, Elizabeth, Hatler, Julia, Wiblin, Anne E., Fisher, Jeremy, Croteau, Josh, Small, Eliza C., Sood, Anup, Caprioli, Richard M., Angelo, R. Michael, Nolan, Garry P., Chung, Kwanghun, Hewitt, Stephen M., Germain, Ronald N., Spraggins, Jeffrey M., Lundberg, Emma, Snyder, Michael P., Kelleher, Neil L., and Saka, Sinem K.

Subjects
Quantitative Biology - Tissues and Organs
Abstract

Tissues and organs are composed of distinct cell types that must operate in concert to perform physiological functions. Efforts to create high-dimensional biomarker catalogs of these cells are largely based on transcriptomic single-cell approaches that lack the spatial context required to understand critical cellular communication and correlated structural organization. To probe in situ biology with sufficient coverage depth, several multiplexed protein imaging methods have recently been developed. Though these antibody-based technologies differ in strategy and mode of immunolabeling and detection tags, they commonly utilize antibodies directed against protein biomarkers to provide detailed spatial and functional maps of complex tissues. As these promising antibody-based multiplexing approaches become more widely adopted, new frameworks and considerations are critical for training future users, generating molecular tools, validating antibody panels, and harmonizing datasets. In this perspective, we provide essential resources and key considerations for obtaining robust and reproducible multiplexed antibody-based imaging data compiling specialized knowledge from domain experts and technology developers., Comment: {\ddag}authors contributed equally to this work

Published
2021

70. Organization of the human intestine at single-cell resolution

Author

Hickey, John W., Becker, Winston R., Nevins, Stephanie A., Horning, Aaron, Perez, Almudena Espin, Zhu, Chenchen, Zhu, Bokai, Wei, Bei, Chiu, Roxanne, Chen, Derek C., Cotter, Daniel L., Esplin, Edward D., Weimer, Annika K., Caraccio, Chiara, Venkataraaman, Vishal, Schürch, Christian M., Black, Sarah, Brbić, Maria, Cao, Kaidi, Chen, Shuxiao, Zhang, Weiruo, Monte, Emma, Zhang, Nancy R., Ma, Zongming, Leskovec, Jure, Zhang, Zhengyan, Lin, Shin, Longacre, Teri, Plevritis, Sylvia K., Lin, Yiing, Nolan, Garry P., Greenleaf, William J., and Snyder, Michael

Published
2023
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72. A genetic association study of circulating coagulation factor VIII and von Willebrand factor levels

Author

Abe, Namiko, Abecasis, Gonçalo, Aguet, Francois, Albert, Christine, Almasy, Laura, Alonso, Alvaro, Ament, Seth, Anderson, Peter, Anugu, Pramod, Applebaum-Bowden, Deborah, Ardlie, Kristin, Arking, Dan, Arnett, Donna K, Ashley-Koch, Allison, Aslibekyan, Stella, Assimes, Tim, Auer, Paul, Avramopoulos, Dimitrios, Ayas, Najib, Balasubramanian, Adithya, Barnard, John, Barnes, Kathleen, Barr, R. Graham, Barron-Casella, Emily, Barwick, Lucas, Beaty, Terri, Beck, Gerald, Becker, Diane, Becker, Lewis, Beer, Rebecca, Beitelshees, Amber, Benjamin, Emelia, Benos, Takis, Bezerra, Marcos, Bielak, Larry, Bis, Joshua, Blackwell, Thomas, Blangero, John, Blue, Nathan, Boerwinkle, Eric, Bowden, Donald W., Bowler, Russell, Brody, Jennifer, Broeckel, Ulrich, Broome, Jai, Brown, Deborah, Bunting, Karen, Burchard, Esteban, Bustamante, Carlos, Buth, Erin, Cade, Brian, Cardwell, Jonathan, Carey, Vincent, Carrier, Julie, Carson, April P., Carty, Cara, Casaburi, Richard, Casas Romero, Juan P, Casella, James, Castaldi, Peter, Chaffin, Mark, Chang, Christy, Chang, Yi-Cheng, Chasman, Daniel, Chavan, Sameer, Chen, Bo-Juen, Chen, Wei-Min, Ida Chen, Yii-Der, Cho, Michael, Choi, Seung Hoan, Chuang, Lee-Ming, Chung, Mina, Chung, Ren-Hua, Clish, Clary, Comhair, Suzy, Conomos, Matthew, Cornell, Elaine, Correa, Adolfo, Crandall, Carolyn, Crapo, James, Cupples, L. Adrienne, Curran, Joanne, Curtis, Jeffrey, Custer, Brian, Damcott, Coleen, Darbar, Dawood, David, Sean, Davis, Colleen, Daya, Michelle, de Andrade, Mariza, de las Fuentes, Lisa, de Vries, Paul, DeBaun, Michael, Deka, Ranjan, DeMeo, Dawn, Devine, Scott, Dinh, Huyen, Doddapaneni, Harsha, Duan, Qing, Dugan-Perez, Shannon, Duggirala, Ravi, Durda, Jon Peter, Dutcher, Susan K., Eaton, Charles, Ekunwe, Lynette, El Boueiz, Adel, Ellinor, Patrick, Emery, Leslie, Erzurum, Serpil, Farber, Charles, Farek, Jesse, Fingerlin, Tasha, Flickinger, Matthew, Fornage, Myriam, Franceschini, Nora, Frazar, Chris, Fu, Mao, Fullerton, Stephanie M., Fulton, Lucinda, Gabriel, Stacey, Gan, Weiniu, Gao, Shanshan, Gao, Yan, Gass, Margery, Geiger, Heather, Gelb, Bruce, Geraci, Mark, Germer, Soren, Gerszten, Robert, Ghosh, Auyon, Gibbs, Richard, Gignoux, Chris, Gladwin, Mark, Glahn, David, Gogarten, Stephanie, Gong, Da-Wei, Goring, Harald, Graw, Sharon, Gray, Kathryn J., Grine, Daniel, Gross, Colin, Gu, C. Charles, Guan, Yue, Guo, Xiuqing, Gupta, Namrata, Haessler, Jeff, Hall, Michael, Han, Yi, Hanly, Patrick, Harris, Daniel, Hawley, Nicola L., He, Jiang, Heavner, Ben, Heckbert, Susan, Hernandez, Ryan, Herrington, David, Hersh, Craig, Hidalgo, Bertha, Hixson, James, Hobbs, Brian, Hokanson, John, Hong, Elliott, Hoth, Karin, Hsiung, Chao (Agnes), Hu, Jianhong, Hung, Yi-Jen, Huston, Haley, Hwu, Chii Min, Irvin, Marguerite Ryan, Jackson, Rebecca, Jain, Deepti, Jaquish, Cashell, Johnsen, Jill, Johnson, Andrew, Johnson, Craig, Johnston, Rich, Jones, Kimberly, Kang, Hyun Min, Kaplan, Robert, Kardia, Sharon, Kelly, Shannon, Kenny, Eimear, Kessler, Michael, Khan, Alyna, Khan, Ziad, Kim, Wonji, Kimoff, John, Kinney, Greg, Konkle, Barbara, Kooperberg, Charles, Kramer, Holly, Lange, Christoph, Lange, Ethan, Lange, Leslie, Laurie, Cathy, Laurie, Cecelia, LeBoff, Meryl, Lee, Jiwon, Lee, Sandra, Lee, Wen-Jane, LeFaive, Jonathon, Levine, David, Levy, Dan, Lewis, Joshua, Li, Xiaohui, Li, Yun, Lin, Henry, Lin, Honghuang, Lin, Xihong, Liu, Simin, Liu, Yongmei, Liu, Yu, Loos, Ruth J. F., Lubitz, Steven, Lunetta, Kathryn, Luo, James, Magalang, Ulysses, Mahaney, Michael, Make, Barry, Manichaikul, Ani, Manning, Alisa, Manson, JoAnn, Martin, Lisa, Marton, Melissa, Mathai, Susan, Mathias, Rasika, May, Susanne, McArdle, Patrick, McDonald, Merry-Lynn, McFarland, Sean, McGarvey, Stephen, McGoldrick, Daniel, McHugh, Caitlin, McNeil, Becky, Mei, Hao, Meigs, James, Menon, Vipin, Mestroni, Luisa, Metcalf, Ginger, Meyers, Deborah A, Mignot, Emmanuel, Mikulla, Julie, Min, Nancy, Minear, Mollie, Minster, Ryan L, Mitchell, Braxton D., Moll, Matt, Momin, Zeineen, Montasser, May E., Montgomery, Courtney, Muzny, Donna, Mychaleckyj, Josyf C, Nadkarni, Girish, Naik, Rakhi, Naseri, Take, Natarajan, Pradeep, Nekhai, Sergei, Nelson, Sarah C., Neltner, Bonnie, Nessner, Caitlin, Nickerson, Deborah, Nkechinyere, Osuji, North, Kari, O'Connell, Jeff, O'Connor, Tim, Ochs-Balcom, Heather, Okwuonu, Geoffrey, Pack, Allan, Paik, David T., Palmer, Nicholette, Pankow, James, Papanicolaou, George, Parker, Cora, Peloso, Gina, Peralta, Juan Manuel, Perez, Marco, Perry, James, Peters, Ulrike, Peyser, Patricia, Phillips, Lawrence S, Pleiness, Jacob, Pollin, Toni, Post, Wendy, Becker, Julia Powers, Boorgula, Meher Preethi, Preuss, Michael, Psaty, Bruce, Qasba, Pankaj, Qiao, Dandi, Qin, Zhaohui, Rafaels, Nicholas, Raffield, Laura, Rajendran, Mahitha, Ramachandran, Vasan S., Rao, D. C., Rasmussen-Torvik, Laura, Ratan, Aakrosh, Redline, Susan, Reed, Robert, Reeves, Catherine, Regan, Elizabeth, Reiner, Alex, Reupena, Muagututi‘a Sefuiva, Rice, Ken, Rich, Stephen, Robillard, Rebecca, Robine, Nicolas, Roden, Dan, Roselli, Carolina, Rotter, Jerome, Ruczinski, Ingo, Runnels, Alexi, Russell, Pamela, Ruuska, Sarah, Ryan, Kathleen, Sabino, Ester Cerdeira, Saleheen, Danish, Salimi, Shabnam, Salvi, Sejal, Salzberg, Steven, Sandow, Kevin, Sankaran, Vijay G., Santibanez, Jireh, Schwander, Karen, Schwartz, David, Sciurba, Frank, Seidman, Christine, Seidman, Jonathan, Sériès, Frédéric, Sheehan, Vivien, Sherman, Stephanie L., Shetty, Amol, Shetty, Aniket, Hui-Heng Sheu, Wayne, Shoemaker, M. Benjamin, Silver, Brian, Silverman, Edwin, Skomro, Robert, Smith, Albert Vernon, Smith, Jennifer, Smith, Josh, Smith, Nicholas, Smith, Tanja, Smoller, Sylvia, Snively, Beverly, Snyder, Michael, Sofer, Tamar, Sotoodehnia, Nona, Stilp, Adrienne M., Storm, Garrett, Streeten, Elizabeth, Su, Jessica Lasky, Sung, Yun Ju, Sylvia, Jody, Szpiro, Adam, Taliun, Daniel, Tang, Hua, Taub, Margaret, Taylor, Kent D., Taylor, Matthew, Taylor, Simeon, Telen, Marilyn, Thornton, Timothy A., Threlkeld, Machiko, Tinker, Lesley, Tirschwell, David, Tishkoff, Sarah, Tiwari, Hemant, Tong, Catherine, Tracy, Russell, Tsai, Michael, Vaidya, Dhananjay, Van Den Berg, David, VandeHaar, Peter, Vrieze, Scott, Walker, Tarik, Wallace, Robert, Walts, Avram, Wang, Fei Fei, Wang, Heming, Wang, Jiongming, Watson, Karol, Watt, Jennifer, Weeks, Daniel E., Weinstock, Joshua, Weir, Bruce, Weiss, Scott T, Weng, Lu-Chen, Wessel, Jennifer, Willer, Cristen, Williams, Kayleen, Williams, L. Keoki, Wilson, Carla, Wilson, James, Winterkorn, Lara, Wong, Quenna, Wu, Joseph, Xu, Huichun, Yanek, Lisa, Yang, Ivana, Yu, Ketian, Zekavat, Seyedeh Maryam, Zhang, Yingze, Zhao, Snow Xueyan, Zhao, Wei, Zhu, Xiaofeng, Ziv, Elad, Zody, Michael, Zoellner, Sebastian, Lindstrom, Sara, Wang, Lu, Smith, Erin N., Gordon, William, van Hylckama Vlieg, Astrid, Brody, Jennifer A., Pattee, Jack W., Haessler, Jeffrey, Brumpton, Ben M., Chasman, Daniel I., Suchon, Pierre, Chen, Ming-Huei, Turman, Constance, Germain, Marine, Wiggins, Kerri L., MacDonald, James, Braekkan, Sigrid K., Armasu, Sebastian M., Pankratz, Nathan, Jackson, Rabecca D., Nielsen, Jonas B., Giulianini, Franco, Puurunen, Marja K., Ibrahim, Manal, Heckbert, Susan R., Bammler, Theo K., Frazer, Kelly A., McCauley, Bryan M., Taylor, Kent, Pankow, James S., Reiner, Alexander P., Gabrielsen, Maiken E., Deleuze, Jean-François, O'Donnell, Chris J., Kim, Jihye, McKnight, Barbara, Kraft, Peter, Hansen, John-Bjarne, Rosendaal, Frits R., Heit, John A., Psaty, Bruce M., Tang, Weihong, Hveem, Kristian, Ridker, Paul M., Morange, Pierre-Emmanuel, Johnson, Andrew D., Kabrhel, Christopher, AlexandreTrégouët, David, Smith, Nicholas L., de Vries, Paul S., Reventun, Paula, Brown, Michael R., Heath, Adam S., Huffman, Jennifer E., Le, Ngoc-Quynh, Bebo, Allison, Temprano-Sagrera, Gerard, Raffield, Laura M., Ozel, Ayse Bilge, Thibord, Florian, Lewis, Joshua P., Rodriguez, Benjamin A. T., Polasek, Ozren, Yanek, Lisa R., Carrasquilla, German D., Marioni, Riccardo E., Kleber, Marcus E., Trégouët, David-Alexandre, Yao, Jie, Li-Gao, Ruifang, Joshi, Peter K., Trompet, Stella, Martinez-Perez, Angel, Ghanbari, Mohsen, Howard, Tom E., Reiner, Alex P., Arvanitis, Marios, Ryan, Kathleen A., Bartz, Traci M., Rudan, Igor, Faraday, Nauder, Linneberg, Allan, Davies, Gail, Delgado, Graciela E., Klaric, Lucija, Noordam, Raymond, van Rooij, Frank, Curran, Joanne E., Wheeler, Marsha M., Osburn, William O., O'Connell, Jeffrey R., Beswick, Andrew, Kolcic, Ivana, Souto, Juan Carlos, Becker, Lewis C., Hansen, Torben, Doyle, Margaret F., Harris, Sarah E., Moissl, Angela P., Rich, Stephen S., Campbell, Harry, Stott, David J., Soria, Jose Manuel, de Maat, Moniek P. M., Brody, Lawrence C., Auer, Paul L., Ben-Shlomo, Yoav, Hayward, Caroline, Mathias, Rasika A., Kilpeläinen, Tuomas O., Lange, Leslie A., Cox, Simon R., März, Winfried, Rotter, Jerome I., Mook-Kanamori, Dennis O., Wilson, James F., van der Harst, Pim, Jukema, J. Wouter, Ikram, M. Arfan, Desch, Karl C., Sabater-Lleal, Maria, Lowenstein, Charles J., and Morrison, Alanna C.

Published
2024
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74. Longitudinal profiling of the microbiome at four body sites reveals core stability and individualized dynamics during health and disease

Author

Zhou, Xin, Shen, Xiaotao, Johnson, Jethro S., Spakowicz, Daniel J., Agnello, Melissa, Zhou, Wenyu, Avina, Monica, Honkala, Alexander, Chleilat, Faye, Chen, Shirley Jingyi, Cha, Kexin, Leopold, Shana, Zhu, Chenchen, Chen, Lei, Lyu, Lin, Hornburg, Daniel, Wu, Si, Zhang, Xinyue, Jiang, Chao, Jiang, Liuyiqi, Jiang, Lihua, Jian, Ruiqi, Brooks, Andrew W., Wang, Meng, Contrepois, Kévin, Gao, Peng, Rose, Sophia Miryam Schüssler-Fiorenza, Tran, Thi Dong Binh, Nguyen, Hoan, Celli, Alessandra, Hong, Bo-Young, Bautista, Eddy J., Dorsett, Yair, Kavathas, Paula B., Zhou, Yanjiao, Sodergren, Erica, Weinstock, George M., and Snyder, Michael P.

Published
2024
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76. The Army Reserve and homeland security support

Author

Snyder, Michael T., LtCol

Subjects
RESERVE FORCES - Army - United States - Security Measures, SECURITY, NATIONAL - United States - Organization
Abstract

illus

Published
2001

77. Author Correction: Advances and prospects for the Human BioMolecular Atlas Program (HuBMAP)

Author

Jain, Sanjay, Pei, Liming, Spraggins, Jeffrey M., Angelo, Michael, Carson, James P., Gehlenborg, Nils, Ginty, Fiona, Gonçalves, Joana P., Hagood, James S., Hickey, John W., Kelleher, Neil L., Laurent, Louise C., Lin, Shin, Lin, Yiing, Liu, Huiping, Naba, Alexandra, Nakayasu, Ernesto S., Qian, Wei-Jun, Radtke, Andrea, Robson, Paul, Stockwell, Brent R., Van de Plas, Raf, Vlachos, Ioannis S., Zhou, Mowei, Börner, Katy, and Snyder, Michael P.

Published
2024
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78. People Places Things

Author

Comita, Jenny, Battilana, Jessica, Bush, Tanya, Cheng, Martha, Kauffman, Jonathan, Snyder, Michael, Stanek, Amiel, and Wilson, Korsha

Subjects
General interest, News, opinion and commentary
Abstract

Despite its millions of recipes, the internet hasn't killed cookbooks. Instead, the genre's fans seem more motivated than ever to collect and use them -- and not just for making [...]

Published
2024

79. Queer Cross-Stitch

Author

Snyder, Michael

Subjects
Gay and lesbian culture -- Forecasts and trends, Gays -- Works -- Beliefs, opinions and attitudes, Market trend/market analysis, General interest, News, opinion and commentary
Abstract

As a child in Nantes, France, the 26-year-old artist Victor Siret would often lose himself in the gothic foliage of a six-foot-long needlepoint canvas made by his grandmother, who started [...]

Published
2024

80. The Gay Male Artists Subverting the Primness of Cross-Stitch

Author

Snyder, Michael

Subjects
News, opinion and commentary
Abstract

As a child in Nantes, France, the 26-year-old artist Victor Siret would often lose himself in the gothic foliage of a six-foot-long needlepoint canvas made by his grandmother, who started [...]

Published
2024

81. Long Live the Staff Meal

Author

Snyder, Michael and Donnola, Sean

Subjects
Clothing industry -- Human resource management, Filmmakers -- Beliefs, opinions and attitudes, Architects -- Beliefs, opinions and attitudes, Cooks -- Beliefs, opinions and attitudes, Creative ability -- Social aspects, Dinners and dining -- Social aspects, Company personnel management, General interest, News, opinion and commentary
Abstract

At workplaces including Ava DuVernay's production office and the fashion designer Joseph Altuzarra's atelier, the staff meal is a way to fuel the creative process. Workplaces and their customs changed [...]

Published
2024

82. The Building Where It Happens

Author

Snyder, Michael

Subjects
Apartment houses -- Social aspects -- Design and construction, General interest, News, opinion and commentary
Abstract

The 174-unit Edificio Mascota in the Colonia Juárez neighborhood covers an entire city block. ''I came to Edificio Mascota for the first time thanks to my mother, who bought her [...]

Published
2024

83. Altered Cardiac Energetics and Mitochondrial Dysfunction in Hypertrophic Cardiomyopathy

Author

Ranjbarvaziri, Sara, Kooiker, Kristina B, Ellenberger, Mathew, Fajardo, Giovanni, Zhao, Mingming, Vander Roest, Alison Schroer, Woldeyes, Rahel A, Koyano, Tiffany T, Fong, Robyn, Ma, Ning, Tian, Lei, Traber, Gavin M, Chan, Frandics, Perrino, John, Reddy, Sushma, Chiu, Wah, Wu, Joseph C, Woo, Joseph Y, Ruppel, Kathleen M, Spudich, James A, Snyder, Michael P, Contrepois, Kévin, and Bernstein, Daniel

Subjects
Medical Biochemistry and Metabolomics, Biomedical and Clinical Sciences, Cardiovascular, Heart Disease, Rare Diseases, Nutrition, Pediatric, Clinical Research, Pediatric Cardiomyopathy, 2.1 Biological and endogenous factors, Aetiology, Adult, Aged, Cardiomyopathy, Hypertrophic, Cell Respiration, Computational Biology, Disease Management, Disease Susceptibility, Energy Metabolism, Female, Gene Expression Profiling, Heart Function Tests, Humans, Lipidomics, Male, Metabolome, Metabolomics, Middle Aged, Mitochondria, Mutation, Oxidative Stress, Reactive Oxygen Species, Transcriptome, cardiomyopathy, hypertrophic, metabolism, mitochondria, mitophagy, reactive oxygen species, cardiomyopathy, hypertrophic, Cardiorespiratory Medicine and Haematology, Clinical Sciences, Public Health and Health Services, Cardiovascular System & Hematology, Cardiovascular medicine and haematology, Clinical sciences, Sports science and exercise
Abstract

BackgroundHypertrophic cardiomyopathy (HCM) is a complex disease partly explained by the effects of individual gene variants on sarcomeric protein biomechanics. At the cellular level, HCM mutations most commonly enhance force production, leading to higher energy demands. Despite significant advances in elucidating sarcomeric structure-function relationships, there is still much to be learned about the mechanisms that link altered cardiac energetics to HCM phenotypes. In this work, we test the hypothesis that changes in cardiac energetics represent a common pathophysiologic pathway in HCM.MethodsWe performed a comprehensive multiomics profile of the molecular (transcripts, metabolites, and complex lipids), ultrastructural, and functional components of HCM energetics using myocardial samples from 27 HCM patients and 13 normal controls (donor hearts).ResultsIntegrated omics analysis revealed alterations in a wide array of biochemical pathways with major dysregulation in fatty acid metabolism, reduction of acylcarnitines, and accumulation of free fatty acids. HCM hearts showed evidence of global energetic decompensation manifested by a decrease in high energy phosphate metabolites (ATP, ADP, and phosphocreatine) and a reduction in mitochondrial genes involved in creatine kinase and ATP synthesis. Accompanying these metabolic derangements, electron microscopy showed an increased fraction of severely damaged mitochondria with reduced cristae density, coinciding with reduced citrate synthase activity and mitochondrial oxidative respiration. These mitochondrial abnormalities were associated with elevated reactive oxygen species and reduced antioxidant defenses. However, despite significant mitochondrial injury, HCM hearts failed to upregulate mitophagic clearance.ConclusionsOverall, our findings suggest that perturbed metabolic signaling and mitochondrial dysfunction are common pathogenic mechanisms in patients with HCM. These results highlight potential new drug targets for attenuation of the clinical disease through improving metabolic function and reducing mitochondrial injury.

Published
2021

84. A DMS Shotgun Lipidomics Workflow Application to Facilitate High-Throughput, Comprehensive Lipidomics

Author

Su, Baolong, Bettcher, Lisa F, Hsieh, Wei-Yuan, Hornburg, Daniel, Pearson, Mackenzie J, Blomberg, Niek, Giera, Martin, Snyder, Michael P, Raftery, Daniel, Bensinger, Steven J, and Williams, Kevin J

Subjects
Analytical Chemistry, Chemical Sciences, Biotechnology, Affordable and Clean Energy, Animals, Flow Injection Analysis, High-Throughput Screening Assays, Lipidomics, Lipids, Macrophages, Mice, Software, Workflow, shotgun lipidomics, DMS, lipidyzer, flow injection, lipids, Medicinal and Biomolecular Chemistry, Physical Chemistry (incl. Structural), Analytical chemistry
Abstract

Differential mobility spectrometry (DMS) is highly useful for shotgun lipidomic analysis because it overcomes difficulties in measuring isobaric species within a complex lipid sample and allows for acyl tail characterization of phospholipid species. Despite these advantages, the resulting workflow presents technical challenges, including the need to tune the DMS before every batch to update compensative voltages settings within the method. The Sciex Lipidyzer platform uses a Sciex 5500 QTRAP with a DMS (SelexION), an LC system configured for direction infusion experiments, an extensive set of standards designed for quantitative lipidomics, and a software package (Lipidyzer Workflow Manager) that facilitates the workflow and rapidly analyzes the data. Although the Lipidyzer platform remains very useful for DMS-based shotgun lipidomics, the software is no longer updated for current versions of Analyst and Windows. Furthermore, the software is fixed to a single workflow and cannot take advantage of new lipidomics standards or analyze additional lipid species. To address this multitude of issues, we developed Shotgun Lipidomics Assistant (SLA), a Python-based application that facilitates DMS-based lipidomics workflows. SLA provides the user with flexibility in adding and subtracting lipid and standard MRMs. It can report quantitative lipidomics results from raw data in minutes, comparable to the Lipidyzer software. We show that SLA facilitates an expanded lipidomics analysis that measures over 1450 lipid species across 17 (sub)classes. Lastly, we demonstrate that the SLA performs isotope correction, a feature that was absent from the original software.

Published
2021

85. Rare and common genetic determinants of mitochondrial function determine severity but not risk of amyotrophic lateral sclerosis

Author

Harvey, Calum, Weinreich, Marcel, Lee, James A.K., Shaw, Allan C., Ferraiuolo, Laura, Mortiboys, Heather, Zhang, Sai, Hop, Paul J., Zwamborn, Ramona A.J., van Eijk, Kristel, Julian, Thomas H., Moll, Tobias, Iacoangeli, Alfredo, Al Khleifat, Ahmad, Quinn, John P., Pfaff, Abigail L., Kõks, Sulev, Poulton, Joanna, Battle, Stephanie L., Arking, Dan E., Snyder, Michael P., Veldink, Jan H., Kenna, Kevin P., Shaw, Pamela J., and Cooper-Knock, Johnathan

Published
2024
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89. Wireless, closed-loop, smart bandage with integrated sensors and stimulators for advanced wound care and accelerated healing

Author

Jiang, Yuanwen, Trotsyuk, Artem A., Niu, Simiao, Henn, Dominic, Chen, Kellen, Shih, Chien-Chung, Larson, Madelyn R., Mermin-Bunnell, Alana M., Mittal, Smiti, Lai, Jian-Cheng, Saberi, Aref, Beard, Ethan, Jing, Serena, Zhong, Donglai, Steele, Sydney R., Sun, Kefan, Jain, Tanish, Zhao, Eric, Neimeth, Christopher R., Viana, Willian G., Tang, Jing, Sivaraj, Dharshan, Padmanabhan, Jagannath, Rodrigues, Melanie, Perrault, David P., Chattopadhyay, Arhana, Maan, Zeshaan N., Leeolou, Melissa C., Bonham, Clark A., Kwon, Sun Hyung, Kussie, Hudson C., Fischer, Katharina S., Gurusankar, Gurupranav, Liang, Kui, Zhang, Kailiang, Nag, Ronjon, Snyder, Michael P., Januszyk, Michael, Gurtner, Geoffrey C., and Bao, Zhenan

Published
2023
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90. Biomonitoring and precision health in deep space supported by artificial intelligence

Author

Scott, Ryan T., Sanders, Lauren M., Antonsen, Erik L., Hastings, Jaden J. A., Park, Seung-min, Mackintosh, Graham, Reynolds, Robert J., Hoarfrost, Adrienne L., Sawyer, Aenor, Greene, Casey S., Glicksberg, Benjamin S., Theriot, Corey A., Berrios, Daniel C., Miller, Jack, Babdor, Joel, Barker, Richard, Baranzini, Sergio E., Beheshti, Afshin, Chalk, Stuart, Delgado-Aparicio, Guillermo M., Haendel, Melissa, Hamid, Arif A., Heller, Philip, Jamieson, Daniel, Jarvis, Katelyn J., Kalantari, John, Khezeli, Kia, Komarova, Svetlana V., Komorowski, Matthieu, Kothiyal, Prachi, Mahabal, Ashish, Manor, Uri, Garcia Martin, Hector, Mason, Christopher E., Matar, Mona, Mias, George I., Myers, Jr, Jerry G., Nelson, Charlotte, Oribello, Jonathan, Parsons-Wingerter, Patricia, Prabhu, R. K., Qutub, Amina Ann, Rask, Jon, Saravia-Butler, Amanda, Saria, Suchi, Singh, Nitin Kumar, Snyder, Michael, Soboczenski, Frank, Soman, Karthik, Van Valen, David, Venkateswaran, Kasthuri, Warren, Liz, Worthey, Liz, Yang, Jason H., Zitnik, Marinka, and Costes, Sylvain V.

Published
2023
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91. Biological research and self-driving labs in deep space supported by artificial intelligence

Author

Sanders, Lauren M., Scott, Ryan T., Yang, Jason H., Qutub, Amina Ann, Garcia Martin, Hector, Berrios, Daniel C., Hastings, Jaden J. A., Rask, Jon, Mackintosh, Graham, Hoarfrost, Adrienne L., Chalk, Stuart, Kalantari, John, Khezeli, Kia, Antonsen, Erik L., Babdor, Joel, Barker, Richard, Baranzini, Sergio E., Beheshti, Afshin, Delgado-Aparicio, Guillermo M., Glicksberg, Benjamin S., Greene, Casey S., Haendel, Melissa, Hamid, Arif A., Heller, Philip, Jamieson, Daniel, Jarvis, Katelyn J., Komarova, Svetlana V., Komorowski, Matthieu, Kothiyal, Prachi, Mahabal, Ashish, Manor, Uri, Mason, Christopher E., Matar, Mona, Mias, George I., Miller, Jack, Myers, Jr., Jerry G., Nelson, Charlotte, Oribello, Jonathan, Park, Seung-min, Parsons-Wingerter, Patricia, Prabhu, R. K., Reynolds, Robert J., Saravia-Butler, Amanda, Saria, Suchi, Sawyer, Aenor, Singh, Nitin Kumar, Snyder, Michael, Soboczenski, Frank, Soman, Karthik, Theriot, Corey A., Van Valen, David, Venkateswaran, Kasthuri, Warren, Liz, Worthey, Liz, Zitnik, Marinka, and Costes, Sylvain V.

Published
2023
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92. Active Learning Pipeline for Brain Mapping in a High Performance Computing Environment

Author

Michaleas, Adam, Gjesteby, Lars A., Snyder, Michael, Chavez, David, Ash, Meagan, Melton, Matthew A., Lamb, Damon G., Burke, Sara N., Otto, Kevin J., Kamentsky, Lee, Guan, Webster, Chung, Kwanghun, and Brattain, Laura J.

Subjects
Electrical Engineering and Systems Science - Image and Video Processing, Quantitative Biology - Neurons and Cognition
Abstract

This paper describes a scalable active learning pipeline prototype for large-scale brain mapping that leverages high performance computing power. It enables high-throughput evaluation of algorithm results, which, after human review, are used for iterative machine learning model training. Image processing and machine learning are performed in a batch layer. Benchmark testing of image processing using pMATLAB shows that a 100$\times$ increase in throughput (10,000%) can be achieved while total processing time only increases by 9% on Xeon-G6 CPUs and by 22% on Xeon-E5 CPUs, indicating robust scalability. The images and algorithm results are provided through a serving layer to a browser-based user interface for interactive review. This pipeline has the potential to greatly reduce the manual annotation burden and improve the overall performance of machine learning-based brain mapping., Comment: 6 pages, 5 figures, submitted to IEEE HPEC 2020 proceedings

Published
2020

93. Longitudinal linked-read sequencing reveals ecological and evolutionary responses of a human gut microbiome during antibiotic treatment

Author

Roodgar, Morteza, Good, Benjamin H, Garud, Nandita R, Martis, Stephen, Avula, Mohan, Zhou, Wenyu, Lancaster, Samuel M, Lee, Hayan, Babveyh, Afshin, Nesamoney, Sophia, Pollard, Katherine S, and Snyder, Michael P

Subjects
Human Genome, Genetics, 2.1 Biological and endogenous factors, Aetiology, Infection, Good Health and Well Being, Anti-Bacterial Agents, Gastrointestinal Microbiome, Humans, Metagenome, Metagenomics, Microbiota, Biological Sciences, Medical and Health Sciences, Bioinformatics
Abstract

Gut microbial communities can respond to antibiotic perturbations by rapidly altering their taxonomic and functional composition. However, little is known about the strain-level processes that drive this collective response. Here, we characterize the gut microbiome of a single individual at high temporal and genetic resolution through a period of health, disease, antibiotic treatment, and recovery. We used deep, linked-read metagenomic sequencing to track the longitudinal trajectories of thousands of single nucleotide variants within 36 species, which allowed us to contrast these genetic dynamics with the ecological fluctuations at the species level. We found that antibiotics can drive rapid shifts in the genetic composition of individual species, often involving incomplete genome-wide sweeps of pre-existing variants. These genetic changes were frequently observed in species without obvious changes in species abundance, emphasizing the importance of monitoring diversity below the species level. We also found that many sweeping variants quickly reverted to their baseline levels once antibiotic treatment had concluded, demonstrating that the ecological resilience of the microbiota can sometimes extend all the way down to the genetic level. Our results provide new insights into the population genetic forces that shape individual microbiomes on therapeutically relevant timescales, with potential implications for personalized health and disease.

Published
2021

94. Five-year pediatric use of a digital wearable fitness device: lessons from a pilot case study.

Author

Butte, Kimayani D, Bahmani, Amir, Butte, Atul J, Li, Xiao, and Snyder, Michael P

Subjects
Fitbit, adolescent health, n-of-1 studies, quantified self, wearable fitness devices, Pediatric Research Initiative, Bioengineering, Pediatric, Behavioral and Social Science, Clinical Research, Good Health and Well Being
Abstract

ObjectivesWearable fitness devices are increasingly being used by the general population, with many new applications being proposed for healthy adults as well as for adults with chronic diseases. Fewer, if any, studies of these devices have been conducted in healthy adolescents and teenagers, especially over a long period of time. The goal of this work was to document the successes and challenges involved in 5 years of a wearable fitness device use in a pediatric case study.Materials and methodsComparison of 5 years of step counts and minutes asleep from a teenaged girl and her father.ResultsAt 60 months, this may be the longest reported pediatric study involving a wearable fitness device, and the first simultaneously involving a parent and a child. We find step counts to be significantly higher for both the adult and teen on school/work days, along with less sleep. The teen walked significantly less towards the end of the 5-year study. Surprisingly, many of the adult's and teen's sleeping and step counts were correlated, possibly due to coordinated behaviors.DiscussionWe end with several recommendations for pediatricians and device manufacturers, including the need for constant adjustments of stride length and calorie counts as teens are growing.ConclusionWith periodic adjustments for growth, this pilot study shows these devices can be used for more accurate and consistent measurements in adolescents and teenagers over longer periods of time, to potentially promote healthy behaviors.

Published
2021

95. Integrated trajectories of the maternal metabolome, proteome, and immunome predict labor onset

Author

Stelzer, Ina A, Ghaemi, Mohammad S, Han, Xiaoyuan, Ando, Kazuo, Hédou, Julien J, Feyaerts, Dorien, Peterson, Laura S, Rumer, Kristen K, Tsai, Eileen S, Ganio, Edward A, Gaudillière, Dyani K, Tsai, Amy S, Choisy, Benjamin, Gaigne, Lea P, Verdonk, Franck, Jacobsen, Danielle, Gavasso, Sonia, Traber, Gavin M, Ellenberger, Mathew, Stanley, Natalie, Becker, Martin, Culos, Anthony, Fallahzadeh, Ramin, Wong, Ronald J, Darmstadt, Gary L, Druzin, Maurice L, Winn, Virginia D, Gibbs, Ronald S, Ling, Xuefeng B, Sylvester, Karl, Carvalho, Brendan, Snyder, Michael P, Shaw, Gary M, Stevenson, David K, Contrepois, Kévin, Angst, Martin S, Aghaeepour, Nima, and Gaudillière, Brice

Subjects
Reproductive Medicine, Biomedical and Clinical Sciences, Biotechnology, Pediatric, Clinical Research, Contraception/Reproduction, Reproductive health and childbirth, Good Health and Well Being, Biomarkers, Female, Humans, Labor Onset, Longitudinal Studies, Metabolome, Pregnancy, Proteome, Biological Sciences, Medical and Health Sciences, Medical biotechnology, Biomedical engineering
Abstract

Estimating the time of delivery is of high clinical importance because pre- and postterm deviations are associated with complications for the mother and her offspring. However, current estimations are inaccurate. As pregnancy progresses toward labor, major transitions occur in fetomaternal immune, metabolic, and endocrine systems that culminate in birth. The comprehensive characterization of maternal biology that precedes labor is key to understanding these physiological transitions and identifying predictive biomarkers of delivery. Here, a longitudinal study was conducted in 63 women who went into labor spontaneously. More than 7000 plasma analytes and peripheral immune cell responses were analyzed using untargeted mass spectrometry, aptamer-based proteomic technology, and single-cell mass cytometry in serial blood samples collected during the last 100 days of pregnancy. The high-dimensional dataset was integrated into a multiomic model that predicted the time to spontaneous labor [R = 0.85, 95% confidence interval (CI) [0.79 to 0.89], P = 1.2 × 10-40, N = 53, training set; R = 0.81, 95% CI [0.61 to 0.91], P = 3.9 × 10-7, N = 10, independent test set]. Coordinated alterations in maternal metabolome, proteome, and immunome marked a molecular shift from pregnancy maintenance to prelabor biology 2 to 4 weeks before delivery. A surge in steroid hormone metabolites and interleukin-1 receptor type 4 that preceded labor coincided with a switch from immune activation to regulation of inflammatory responses. Our study lays the groundwork for developing blood-based methods for predicting the day of labor, anchored in mechanisms shared in preterm and term pregnancies.

Published
2021

97. Epigenome-wide DNA methylation association study of circulating IgE levels identifies novel targets for asthma

Author

Abe, Namiko, Abecasis, Gonçalo, Aguet, Francois, Albert, Christine, Almasy, Laura, Alonso, Alvaro, Ament, Seth, Anderson, Peter, Anugu, Pramod, Applebaum-Bowden, Deborah, Ardlie, Kristin, Arking, Dan, Arnett, Donna K., Ashley-Koch, Allison, Aslibekyan, Stella, Assimes, Tim, Auer, Paul, Avramopoulos, Dimitrios, Ayas, Najib, Balasubramanian, Adithya, Barnard, John, Barnes, Kathleen, Barr, R. Graham, Barron-Casella, Emily, Barwick, Lucas, Beaty, Terri, Beck, Gerald, Becker, Diane, Becker, Lewis, Beer, Rebecca, Beitelshees, Amber, Benjamin, Emelia, Benos, Takis, Bezerra, Marcos, Bielak, Larry, Bis, Joshua, Blackwell, Thomas, Blangero, John, Blue, Nathan, Boerwinkle, Eric, Bowden, Donald W., Bowler, Russell, Brody, Jennifer, Broeckel, Ulrich, Broome, Jai, Brown, Deborah, Bunting, Karen, Burchard, Esteban, Bustamante, Carlos, Buth, Erin, Cade, Brian, Cardwell, Jonathan, Carey, Vincent, Carrier, Julie, Carson, April P., Carty, Cara, Casaburi, Richard, Casas Romero, Juan P., Casella, James, Castaldi, Peter, Chaffin, Mark, Chang, Christy, Chang, Yi-Cheng, Chasman, Daniel, Chavan, Sameer, Chen, Bo-Juen, Chen, Wei-Min, Ida Chen, Yii-Der, Cho, Michael, Choi, Seung Hoan, Chuang, Lee-Ming, Chung, Mina, Chung, Ren-Hua, Clish, Clary, Comhair, Suzy, Conomos, Matthew, Cornell, Elaine, Correa, Adolfo, Crandall, Carolyn, Crapo, James, Cupples, L. Adrienne, Curran, Joanne, Curtis, Jeffrey, Custer, Brian, Damcott, Coleen, Darbar, Dawood, David, Sean, Davis, Colleen, Daya, Michelle, de Andrade, Mariza, de las Fuentes, Lisa, de Vries, Paul, DeBaun, Michael, Deka, Ranjan, DeMeo, Dawn, Devine, Scott, Dinh, Huyen, Doddapaneni, Harsha, Duan, Qing, Dugan-Perez, Shannon, Duggirala, Ravi, Durda, Jon Peter, Dutcher, Susan K., Eaton, Charles, Ekunwe, Lynette, El Boueiz, Adel, Ellinor, Patrick, Emery, Leslie, Erzurum, Serpil, Farber, Charles, Farek, Jesse, Fingerlin, Tasha, Flickinger, Matthew, Fornage, Myriam, Franceschini, Nora, Frazar, Chris, Fu, Mao, Fullerton, Stephanie M., Fulton, Lucinda, Gabriel, Stacey, Gan, Weiniu, Gao, Shanshan, Gao, Yan, Gass, Margery, Geiger, Heather, Gelb, Bruce, Geraci, Mark, Germer, Soren, Gerszten, Robert, Ghosh, Auyon, Gibbs, Richard, Gignoux, Chris, Gladwin, Mark, Glahn, David, Gogarten, Stephanie, Gong, Da-Wei, Goring, Harald, Graw, Sharon, Gray, Kathryn J., Grine, Daniel, Gross, Colin, Gu, C. Charles, Guan, Yue, Guo, Xiuqing, Gupta, Namrata, Haessler, Jeff, Hall, Michael, Han, Yi, Hanly, Patrick, Harris, Daniel, Hawley, Nicola L., He, Jiang, Heavner, Ben, Heckbert, Susan, Hernandez, Ryan, Herrington, David, Hersh, Craig, Hidalgo, Bertha, Hixson, James, Hobbs, Brian, Hokanson, John, Hong, Elliott, Hoth, Karin, Hsiung, Chao (Agnes), Hu, Jianhong, Hung, Yi-Jen, Huston, Haley, Hwu, Chii Min, Irvin, Marguerite Ryan, Jackson, Rebecca, Jain, Deepti, Jaquish, Cashell, Johnsen, Jill, Johnson, Andrew, Johnson, Craig, Johnston, Rich, Jones, Kimberly, Kang, Hyun Min, Kaplan, Robert, Kardia, Sharon, Kelly, Shannon, Kenny, Eimear, Kessler, Michael, Khan, Alyna, Khan, Ziad, Kim, Wonji, Kimoff, John, Kinney, Greg, Konkle, Barbara, Kooperberg, Charles, Kramer, Holly, Lange, Christoph, Lange, Ethan, Lange, Leslie, Laurie, Cathy, Laurie, Cecelia, LeBoff, Meryl, Lee, Jiwon, Lee, Sandra, Lee, Wen-Jane, LeFaive, Jonathon, Levine, David, Levy, Daniel, Lewis, Joshua, Li, Xiaohui, Li, Yun, Lin, Henry, Lin, Honghuang, Lin, Xihong, Liu, Simin, Liu, Yongmei, Liu, Yu, Loos, Ruth J.F., Lubitz, Steven, Lunetta, Kathryn, Luo, James, Magalang, Ulysses, Mahaney, Michael, Make, Barry, Manichaikul, Ani, Manning, Alisa, Manson, JoAnn, Martin, Lisa, Marton, Melissa, Mathai, Susan, Mathias, Rasika, May, Susanne, McArdle, Patrick, McDonald, Merry-Lynn, McFarland, Sean, McGarvey, Stephen, McGoldrick, Daniel, McHugh, Caitlin, McNeil, Becky, Mei, Hao, Meigs, James, Menon, Vipin, Mestroni, Luisa, Metcalf, Ginger, Meyers, Deborah A., Mignot, Emmanuel, Mikulla, Julie, Min, Nancy, Minear, Mollie, Minster, Ryan L., Mitchell, Braxton D., Moll, Matt, Momin, Zeineen, Montasser, May E., Montgomery, Courtney, Muzny, Donna, Mychaleckyj, Josyf C., Nadkarni, Girish, Naik, Rakhi, Naseri, Take, Natarajan, Pradeep, Nekhai, Sergei, Nelson, Sarah C., Neltner, Bonnie, Nessner, Caitlin, Nickerson, Deborah, Nkechinyere, Osuji, North, Kari, O'Connell, Jeff, O'Connor, Tim, Ochs-Balcom, Heather, Okwuonu, Geoffrey, Pack, Allan, Paik, David T., Palmer, Nicholette, Pankow, James, Papanicolaou, George, Parker, Cora, Peloso, Gina, Peralta, Juan Manuel, Perez, Marco, Perry, James, Peters, Ulrike, Peyser, Patricia, Phillips, Lawrence S., Pleiness, Jacob, Pollin, Toni, Post, Wendy, Powers Becker, Julia, Preethi Boorgula, Meher, Preuss, Michael, Psaty, Bruce, Qasba, Pankaj, Qiao, Dandi, Qin, Zhaohui, Rafaels, Nicholas, Raffield, Laura, Rajendran, Mahitha, Ramachandran, Vasan S., Rao, D.C., Rasmussen-Torvik, Laura, Ratan, Aakrosh, Redline, Susan, Reed, Robert, Reeves, Catherine, Regan, Elizabeth, Reiner, Alex, Reupena, Muagututi‘a Sefuiva, Rice, Ken, Rich, Stephen, Robillard, Rebecca, Robine, Nicolas, Roden, Dan, Roselli, Carolina, Rotter, Jerome, Ruczinski, Ingo, Runnels, Alexi, Russell, Pamela, Ruuska, Sarah, Ryan, Kathleen, Sabino, Ester Cerdeira, Saleheen, Danish, Salimi, Shabnam, Salvi, Sejal, Salzberg, Steven, Sandow, Kevin, Sankaran, Vijay G., Santibanez, Jireh, Schwander, Karen, Schwartz, David, Sciurba, Frank, Seidman, Christine, Seidman, Jonathan, Sériès, Frédéric, Sheehan, Vivien, Sherman, Stephanie L., Shetty, Amol, Shetty, Aniket, Sheu, Wayne Hui-Heng, Shoemaker, M. Benjamin, Silver, Brian, Silverman, Edwin, Skomro, Robert, Smith, Albert Vernon, Smith, Jennifer, Smith, Josh, Smith, Nicholas, Smith, Tanja, Smoller, Sylvia, Snively, Beverly, Snyder, Michael, Sofer, Tamar, Sotoodehnia, Nona, Stilp, Adrienne M., Storm, Garrett, Streeten, Elizabeth, Su, Jessica Lasky, Sung, Yun Ju, Sylvia, Jody, Szpiro, Adam, Taliun, Daniel, Tang, Hua, Taub, Margaret, Taylor, Kent, Taylor, Matthew, Taylor, Simeon, Telen, Marilyn, Thornton, Timothy A., Threlkeld, Machiko, Tinker, Lesley, Tirschwell, David, Tishkoff, Sarah, Tiwari, Hemant, Tong, Catherine, Tracy, Russell, Tsai, Michael, Vaidya, Dhananjay, Van Den Berg, David, VandeHaar, Peter, Vrieze, Scott, Walker, Tarik, Wallace, Robert, Walts, Avram, Wang, Fei Fei, Wang, Heming, Wang, Jiongming, Watson, Karol, Watt, Jennifer, Weeks, Daniel E., Weinstock, Joshua, Weir, Bruce, Weiss, Scott T., Weng, Lu-Chen, Wessel, Jennifer, Willer, Cristen, Williams, Kayleen, Williams, L. Keoki, Williams, Scott, Wilson, Carla, Wilson, James, Winterkorn, Lara, Wong, Quenna, Wu, Baojun, Wu, Joseph, Xu, Huichun, Yanek, Lisa, Yang, Ivana, Yu, Ketian, Zekavat, Seyedeh Maryam, Zhang, Yingze, Zhao, Snow Xueyan, Zhao, Wei, Zhu, Xiaofeng, Ziv, Elad, Zody, Michael, Zoellner, Sebastian, Recto, Kathryn, Kachroo, Priyadarshini, Huan, Tianxiao, Lee, Gha Young, Bui, Helena, Lee, Dong Heon, Gereige, Jessica, Yao, Chen, Hwang, Shih-Jen, Joehanes, Roby, O’Connor, George T., and DeMeo, Dawn L.

Published
2023
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98. Recurrent repeat expansions in human cancer genomes

Author

Erwin, Graham S., Gürsoy, Gamze, Al-Abri, Rashid, Suriyaprakash, Ashwini, Dolzhenko, Egor, Zhu, Kevin, Hoerner, Christian R., White, Shannon M., Ramirez, Lucia, Vadlakonda, Ananya, Vadlakonda, Alekhya, von Kraut, Konor, Park, Julia, Brannon, Charlotte M., Sumano, Daniel A., Kirtikar, Raushun A., Erwin, Alicia A., Metzner, Thomas J., Yuen, Ryan K. C., Fan, Alice C., Leppert, John T., Eberle, Michael A., Gerstein, Mark, and Snyder, Michael P.

Published
2023
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99. Biomarkers of aging for the identification and evaluation of longevity interventions

Author

Moqri, Mahdi, Herzog, Chiara, Poganik, Jesse R., Justice, Jamie, Belsky, Daniel W., Higgins-Chen, Albert, Moskalev, Alexey, Fuellen, Georg, Cohen, Alan A., Bautmans, Ivan, Widschwendter, Martin, Ding, Jingzhong, Fleming, Alexander, Mannick, Joan, Han, Jing-Dong Jackie, Zhavoronkov, Alex, Barzilai, Nir, Kaeberlein, Matt, Cummings, Steven, Kennedy, Brian K., Ferrucci, Luigi, Horvath, Steve, Verdin, Eric, Maier, Andrea B., Snyder, Michael P., Sebastiano, Vittorio, and Gladyshev, Vadim N.

Published
2023
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100. Beyond the exome: What’s next in diagnostic testing for Mendelian conditions

Author

Abouhala, Siwaar, Albert, Jessica, Almalvez, Miguel, Alvarez, Raquel, Amin, Mutaz, Anderson, Peter, Aradhya, Swaroop, Ashley, Euan, Assimes, Themistocles, Auriga, Light, Austin-Tse, Christina, Bamshad, Mike, Barseghyan, Hayk, Baxter, Samantha, Behera, Sairam, Beheshti, Shaghayegh, Bejerano, Gill, Berger, Seth, Bernstein, Jon, Best, Sabrina, Blankenmeister, Benjamin, Blue, Elizabeth, Boerwinkle, Eric, Bonkowski, Emily, Bonner, Devon, Boone, Philip, Bornhorst, Miriam, Bozkurt-Yozgatli, Tugce, Brand, Harrison, Buckingham, Kati, Calame, Daniel, Casadei, Silvia, Chadwick, Lisa, Chavez, Clarisa, Chen, Ziwei, Chinn, Ivan, Chong, Jessica, Coban-Akdemir, Zeynep, Cohen, Andrea J., Conner, Sarah, Conomos, Matthew, Coveler, Karen, Cui, Ya Allen, Currin, Sara, Daber, Robert, Dardas, Zain, Davis, Colleen, Dawood, Moez, de Dios, Ivan, de Esch, Celine, Delaney, Meghan, Délot, Emmanuèle, DiTroia, Stephanie, Doddapaneni, Harsha, Du, Haowei, Duan, Ruizhi, Dugan-Perez, Shannon, Duong, Nhat, Duyzend, Michael, Eichler, Evan, Emami, Sara, Fatih, Jawid, Fraser, Jamie, Fusaro, Vincent, Galey, Miranda, Ganesh, Vijay, Garimella, Kiran, Gibbs, Richard, Gifford, Casey, Ginsburg, Amy, Goddard, Pagé, Gogarten, Stephanie, Gogate, Nikhita, Gordon, William, Gorzynski, John E., Greenleaf, William, Grochowski, Christopher, Groopman, Emily, Guarischi Sousa, Rodrigo, Gudmundsson, Sanna, Gulati, Ashima, Guo, Daniel, Hale, Walker, Hall, Stacey, Harvey, William, Hawley, Megan, Heavner, Ben, Herman, Isabella, Horike-Pyne, Martha, Hu, Jianhong, Huang, Yongqing, Hwang, James, Jarvik, Gail, Jensen, Tanner, Jhangiani, Shalini, Jimenez-Morales, David, Jin, Christopher, Saad, Ahmed K., Kahn-Kirby, Amanda, Kain, Jessica, Kaur, Parneet, Keehan, Laura, Knoblach, Susan, Ko, Arthur, Kohler, Jennefer, Kundaje, Anshul, Kundu, Soumya, Lancaster, Samuel M., Larsson, Katie, Lemire, Gabrielle, Lewis, Richard, Li, Wei, Li, Yidan, Liu, Pengfei, LoTempio, Jonathan, Lupski, James, Ma, Jialan, MacArthur, Daniel, Mahmoud, Medhat, Malani, Nirav, Mangilog, Brian, Marafi, Dana, Marmolejos, Sofia, Marten, Daniel, Martinez, Eva, Marvin, Colby, Marwaha, Shruti, Kumara Mastrorosa, Francesco, Matalon, Dena, May, Susanne, McGee, Sean, Meador, Lauren, Mefford, Heather, Rodrigo Mendez, Hector, Miller, Alexander, Miller, Danny E., Mitani, Tadahiro, Montgomery, Stephen, Moussa, Hala Mohamed, Moyses, Mariana, Munderloh, Chloe, Muzny, Donna, Nelson, Sarah, Neu, Matthew B., Nguyen, Jonathan, Nguyen, Thuy-mi P., Nussbaum, Robert, Nykamp, Keith, O'Callaghan, William, O'Heir, Emily, O'Leary, Melanie, Olsen, Jeren, Osei-Owusu, Ikeoluwa, O'Donnell-Luria, Anne, Padhi, Evin, Pais, Lynn, Pan, Miao, Panchal, Piyush, Patterson, Karynne, Payne, Sheryl, Pehlivan, Davut, Petrowski, Paul, Pham, Alicia, Pitsava, Georgia, Podesta, Astaria, Ponce, Sarah, Posey, Jennifer, Prosser, Jaime, Quertermous, Thomas, Rai, Archana, Ramani, Arun, Rehm, Heidi, Reuter, Chloe, Reuter, Jason, Richardson, Matthew, Rivera-Munoz, Andres, Rubio, Oriane, Sabo, Aniko, Salani, Monica, Samocha, Kaitlin, Sanchis-Juan, Alba, Savage, Sarah, Scott, Stuart, Scott, Evette, Sedlazeck, Fritz, Shah, Gulalai, Shojaie, Ali, Singh, Mugdha, Smith, Josh, Smith, Kevin, Snow, Hana, Snyder, Michael, Socarras, Kayla, Starita, Lea, Stark, Brigitte, Stenton, Sarah, Stergachis, Andrew, Stilp, Adrienne, Sundaram, Laksshman, Sutton, V. Reid, Tai, Jui-Cheng, Talkowski, Michael, Tise, Christina, Tong, Catherine, Tsao, Philip, Ungar, Rachel, VanNoy, Grace, Vilain, Eric, Voutos, Isabella, Walker, Kim, Weisburd, Ben, Weiss, Jeff, Wellington, Chris, Weng, Ziming, Westheimer, Emily, Wheeler, Marsha, Wheeler, Matthew, Wiel, Laurens, Wilson, Michael, Wojcik, Monica, Wong, Quenna, Wong, Issac, Xiao, Changrui, Yadav, Rachita, Yi, Qian, Yuan, Bo, Zhao, Jianhua, Zhen, Jimmy, Zhou, Harry, Wojcik, Monica H., Reuter, Chloe M., Duyzend, Michael H., Boone, Philip M., Groopman, Emily E., Délot, Emmanuèle C., Jain, Deepti, Starita, Lea M., Montgomery, Stephen B., Bamshad, Michael J., Chong, Jessica X., Wheeler, Matthew T., Berger, Seth I., and Sedlazeck, Fritz J.

Published
2023
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