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1. In utero origin of myelofibrosis presenting in adult monozygotic twins

Author

Sousos, N, Ní Leathlobhair, M, Simoglou Karali, C, Louka, E, Bienz, N, Royston, D, Clark, S-A, Hamblin, A, Howard, K, Mathews, V, George, B, Roy, A, Psaila, B, Wedge, DC, and Mead, AJ

Subjects
Myeloproliferative Disorders, Primary Myelofibrosis, Mutation, Humans, Twins, Monozygotic, General Medicine, Janus Kinase 2, Calreticulin, General Biochemistry, Genetics and Molecular Biology
Abstract

The latency between acquisition of an initiating somatic driver mutation by a single-cell and clinical presentation with cancer is largely unknown. We describe a remarkable case of monozygotic twins presenting with CALR mutation-positive myeloproliferative neoplasms (MPNs) (aged 37 and 38 years), with a clinical phenotype of primary myelofibrosis. The CALR mutation was absent in T cells and dermal fibroblasts, confirming somatic acquisition. Whole-genome sequencing lineage tracing revealed a common clonal origin of the CALR-mutant MPN clone, which occurred in utero followed by twin-to-twin transplacental transmission and subsequent similar disease latency. Index sorting and single-colony genotyping revealed phenotypic hematopoietic stem cells (HSCs) as the likely MPN-propagating cell. Furthermore, neonatal blood spot analysis confirmed in utero origin of the JAK2V617F mutation in a patient presenting with polycythemia vera (aged 34 years). These findings provide a unique window into the prolonged evolutionary dynamics of MPNs and fitness advantage exerted by MPN-associated driver mutations in HSCs.

Published
2022

3. Effect of compressed carbon dioxide on microbial cell viability

Author

Debs-Louka, E., Louka, N., Abraham, G., Chabot, V., and Allaf, K.

Subjects
Carbon dioxide -- Research, Bacteria -- Research, Bioreactors -- Design and construction, Biological sciences
Abstract

Research was conducted to examine the influence of compressed carbon dioxide on the survival of Escherichia coli, Enterococcus faecalis and Saccharomyces cerevisiae over a range of pressures from 1.5 to 5.5 MPa and exposure times of up to 7 h. The objective was to study the feasibility of using a new pressurizable reactor system to destroy microorganisms. Results revealed the existence of a linear correlation between CO2 pressure and exposure time and microbial inactivation.

Published
1999

4. Germline selection shapes human mitochondrial DNA diversity

Author

Wei, W, Tuna, S, Keogh, MJ, Smith, KR, Aitman, TJ, Beales, PL, Bennett, DL, Gale, DP, Bitner-Glindzicz, MAK, Black, GC, Brennan, P, Elliott, P, Flinter, FA, Floto, RA, Houlden, H, Irving, M, Koziell, A, Maher, ER, Markus, HS, Morrell, NW, Newman, WG, Roberts, I, Sayer, JA, Smith, KGC, Taylor, JC, Watkins, H, Webster, AR, Wilkie, AOM, Williamson, C, Attwood, A, Brown, M, Brod, NC, Crisp-Hihn, A, Davis, J, Deevi, SVV, Dewhurst, EF, Edwards, K, Erwood, M, Fox, J, Frary, AJ, Hu, F, Jolley, J, Kingston, N, Linger, R, Mapeta, R, Martin, J, Meacham, S, Papadia, S, Rayner-Matthews, PJ, Samarghitean, C, Shamardina, O, Simeoni, I, Staines, S, Staples, E, Stark, H, Stephens, J, Titterton, C, Von Ziegenweidt, J, Watt, C, Whitehorn, D, Wood, Y, Yates, K, Yu, P, James, R, Ashford, S, Penkett, CJ, Stirrups, KE, Bariana, T, Lentaigne, C, Sivapalaratnam, S, Westbury, SK, Allsup, DJ, Bakchoul, T, Biss, T, Boyce, S, Collins, J, Collins, PW, Curry, NS, Downes, K, Dutt, T, Erber, WN, Evans, G, Everington, T, Favier, R, Gomez, K, Greene, D, Gresele, P, Hart, D, Kazmi, R, Kelly, AM, Lambert, M, Madan, B, Mangles, S, Mathias, M, Millar, C, Obaji, S, Peerlinck, K, Roughley, C, Schulman, S, Scully, M, Shapiro, SE, Sibson, K, Sims, MC, Tait, RC, Talks, K, Thys, C, Toh, C-H, Van Geet, C, Westwood, J-P, Mumford, AD, Ouwehand, WH, Freson, K, Laffan, MA, Tan, RYY, Harkness, K, Mehta, S, Muir, KW, Hassan, A, Traylor, M, Drazyk, AM, Parry, D, Ahmed, M, Kazkaz, H, Vandersteen, AM, Ormondroyd, E, Thomson, K, Dent, T, Buchan, RJ, Bueser, T, Carr-White, G, Cook, S, Daniels, MJ, Harper, AR, Ware, JS, Dixon, PH, Chambers, J, Cheng, F, Estiu, MC, Hague, WM, Marschall, H-U, Vazquez-Lopez, M, Arno, G, French, CE, Michaelides, M, Moore, AT, Sanchis-Juan, A, Carss, K, Raymond, FL, Chinnery, PF, Griffiths, P, Horvath, R, Hudson, G, Jurkute, N, Pyle, A, Yu-Wai-Man, P, Whitworth, J, Adlard, J, Armstrong, R, Brewer, C, Casey, R, Cole, TRP, Evans, DG, Greenhalgh, L, Hanson, HL, Hoffman, J, Izatt, L, Kumar, A, Lalloo, F, Ong, KR, Park, S-M, Searle, C, Side, L, Snape, K, Woodward, E, Tischkowitz, M, Grozeva, D, Kurian, MA, Themistocleous, AC, Gosal, D, Marshall, A, Matthews, E, McCarthy, MI, Renton, T, Rice, ASC, Vale, T, Walker, SM, Woods, CG, Thaventhiran, JE, Allen, HL, Savic, S, Alachkar, H, Antrobus, R, Baxendale, HE, Browning, MJ, Buckland, MS, Cooper, N, Edgar, JDM, Egner, W, Gilmour, KC, Goddard, S, Gordins, P, Grigoriadou, S, Hackett, S, Hague, R, Hayman, G, Herwadkar, A, Huissoon, AP, Jolles, S, Kelleher, P, Kumararatne, D, Longhurst, H, Lorenzo, LE, Lyons, PA, Maimaris, J, Noorani, S, Richter, A, Sargur, RB, Sewell, WAC, Thomas, D, Thomas, MJ, Worth, A, Yong, PFK, Kuijpers, TW, Thrasher, AJ, Levine, AP, Sadeghi-Alavijeh, O, Wong, EKS, Cook, HT, Chan, MMY, Hall, M, Harris, C, McAlinden, P, Marchbank, KJ, Marks, S, Maxwell, H, Mozere, M, Wessels, J, Johnson, SA, Bleda, M, Hadinnapola, C, Haimel, M, Swietlik, E, Bogaard, H, Church, C, Coghlan, G, Condliffe, R, Corris, P, Danesino, C, Eyries, M, Gall, H, Ghofrani, H-A, Gibbs, JSR, Girerd, B, Holden, S, Houweling, A, Howard, LS, Humbert, M, Kiely, DG, Kovacs, G, Lawrie, A, Ross, RVM, Moledina, S, Montani, D, Newnham, M, Olschewski, A, Olschewski, H, Peacock, A, Pepke-Zaba, J, Scelsi, L, Seeger, W, Soubrier, F, Suntharalingam, J, Toshner, M, Treacy, C, Trembath, R, Noordegraaf, AV, Waisfisz, Q, Wharton, J, Wilkins, MR, Wort, SJ, Graf, S, Louka, E, Roy, NB, Rao, A, Ancliff, P, Babbs, C, Layton, DM, Mead, AJ, O'Sullivan, J, Okoli, S, Saleem, M, Bierzynska, A, Diz, CB, Colby, E, Ekani, MN, Satchell, S, Fowler, T, Rendon, A, Scott, R, Smedley, D, Thomas, E, Caulfield, M, Abbs, S, Burrows, N, Chitre, M, Gattens, M, Gurnell, M, Kelsall, W, Poole, KES, Ross-Russell, R, Spasic-Boskovic, O, Twiss, P, Wagner, A, Banka, S, Clayton-Smith, J, Douzgou, S, Abulhoul, L, Aurora, P, Bockenhauer, D, Cleary, M, Dattani, M, Ganesan, V, Pilkington, C, Rahman, S, Shah, N, Wedderburn, L, Compton, CJ, Deshpande, C, Fassihi, H, Haque, E, Josifova, D, Mohammed, SN, Robert, L, Rose, SJ, Ruddy, DM, Sarkany, RN, Sayer, G, Shaw, AC, Campbell, C, Gibson, K, Koelling, N, Lester, T, Nemeth, AH, Palles, C, Patel, S, Sen, A, Taylor, J, Tomlinson, IP, Malka, S, Browning, AC, Burn, J, De Soyza, A, Graham, J, Pearce, S, Quinton, R, Schaefer, AM, Wilson, BT, Wright, M, Simpson, M, Syrris, P, Bradley, JR, Turro, E, ARD - Amsterdam Reproduction and Development, AII - Inflammatory diseases, Paediatric Infectious Diseases / Rheumatology / Immunology, Medical Research Council (MRC), Wellcome Trust, Wei, Wei [0000-0002-2945-3543], Tuna, Salih [0000-0003-3606-4367], Smith, Katherine R [0000-0002-0329-5938], Beales, Phil L [0000-0002-9164-9782], Bennett, David L [0000-0002-7996-2696], Gale, Daniel P [0000-0002-9170-1579], Brennan, Paul [0000-0003-1128-6254], Elliott, Perry [0000-0003-3383-3984], Floto, R Andres [0000-0002-2188-5659], Houlden, Henry [0000-0002-2866-7777], Koziell, Ania [0000-0003-4882-0246], Maher, Eamonn R [0000-0002-6226-6918], Markus, Hugh S [0000-0002-9794-5996], Morrell, Nicholas W [0000-0001-5700-9792], Newman, William G [0000-0002-6382-4678], Sayer, John A [0000-0003-1881-3782], Smith, Kenneth GC [0000-0003-3829-4326], Taylor, Jenny C [0000-0003-3602-5704], Watkins, Hugh [0000-0002-5287-9016], Webster, Andrew R [0000-0001-6915-9560], Wilkie, Andrew OM [0000-0002-2972-5481], Penkett, Christopher J [0000-0003-4006-7261], Stirrups, Kathleen E [0000-0002-6823-3252], Rendon, Augusto [0000-0001-8994-0039], Bradley, John R [0000-0002-7774-8805], Turro, Ernest [0000-0002-1820-6563], Chinnery, Patrick F [0000-0002-7065-6617], and Apollo - University of Cambridge Repository

Subjects
0301 basic medicine, Non-Mendelian inheritance, Genome, Mitochondrial/genetics, DNA, Mitochondrial/genetics, 0302 clinical medicine, Ovum/growth & development, MTDNA, TRANSCRIPTION, Genetics, education.field_of_study, Multidisciplinary, NIHR BioResource–Rare Diseases, ASSOCIATION, Heteroplasmy, Mitochondrial, Multidisciplinary Sciences, GENOME, REPLACEMENT, Science & Technology - Other Topics, Female, Maternal Inheritance, Mitochondrial DNA, General Science & Technology, Genetic genealogy, Population, Biology, Human mitochondrial genetics, SEQUENCE, DNA, Mitochondrial, 03 medical and health sciences, Genetic, 100,000 Genomes Project–Rare Diseases Pilot, Genetic variation, MD Multidisciplinary, Humans, Selection, Genetic, education, Selection, Ovum, Science & Technology, MUTATIONS, Genetic Variation, DNA, LEIGH-DISEASE, 030104 developmental biology, REPLICATION, Genome, Mitochondrial, HETEROPLASMY, 030217 neurology & neurosurgery
Abstract

INTRODUCTION Only 2.4% of the 16.5-kb mitochondrial DNA (mtDNA) genome shows homoplasmic variation at >1% frequency in humans. Migration patterns have contributed to geographic differences in the frequency of common genetic variants, but population genetic evidence indicates that selection shapes the evolving mtDNA phylogeny. The mechanism and timing of this process are not clear. Unlike the nuclear genome, mtDNA is maternally transmitted and there are many copies in each cell. Initially, a new genetic variant affects only a proportion of the mtDNA (heteroplasmy). During female germ cell development, a reduction in the amount of mtDNA per cell causes a “genetic bottleneck,” which leads to rapid segregation of mtDNA molecules and different levels of heteroplasmy between siblings. Although heteroplasmy is primarily governed by random genetic drift, there is evidence of selection occurring during this process in animals. Yet it has been difficult to demonstrate this convincingly in humans. RATIONALE To determine whether there is selection for or against heteroplasmic mtDNA variants during transmission, we studied 12,975 whole-genome sequences, including 1526 mother–offspring pairs of which 45.1% had heteroplasmy affecting >1% of mtDNA molecules. Harnessing both the mtDNA and nuclear genome sequences, we then determined whether the nuclear genetic background influenced mtDNA heteroplasmy, validating our findings in another 40,325 individuals. RESULTS Previously unknown mtDNA variants were less likely to be inherited than known variants, in which the level of heteroplasmy tended to increase on transmission. Variants in the ribosomal RNA genes were less likely to be transmitted, whereas variants in the noncoding displacement (D)–loop were more likely to be transmitted. MtDNA variants predicted to affect the protein sequence tended to have lower heteroplasmy levels than synonymous variants. In 12,975 individuals, we identified a correlation between the location of heteroplasmic sites and known D-loop polymorphisms, including the absence of variants in critical sites required for mtDNA transcription and replication. We defined 206 unrelated individuals for which the nuclear and mitochondrial genomes were from different human populations. In these individuals, new population-specific heteroplasmies were more likely to match the nuclear genetic ancestry than the mitochondrial genome on which the mutations occurred. These findings were independently replicated in 654 additional unrelated individuals. CONCLUSION The characteristics of mtDNA in the human population are shaped by selective forces acting on heteroplasmy within the female germ line and are influenced by the nuclear genetic background. The signature of selection can be seen over one generation, ensuring consistency between these two independent genetic systems.

Published
2019
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6. Phenotypic and genotypic characterisation of juvenile myelomonocytic leukaemia

Author

Louka, E, Roberts, I, and Mead, A

Subjects
Juvenile Myelonocytic Leukaemia, Paediatric MDS
Abstract

Paediatric myelodysplastic syndromes and Juvenile Myelomonocytic Leukaemia (JMML) are very rare haematological diseases of childhood, with an estimated incidence of 1 case per million. Due to their rarity there is relatively little known about their natural history and disease biology. As a result, there are often significant challenges in establishing a diagnosis and there are very few treatment options available for these children. The only curative treatment is bone marrow transplantation but even this is associated with a high risk of disease relapse, particularly in JMML where relapse rates are approaching 35%. In the work described here, I first set up a national observational study to prospectively collect serial patient samples in order to phenotypically and molecularly characterise these patients at diagnosis and to establish the basis for a prospective natural history study. The clinical and molecular characterisation of these diseases allowed me to devise new diagnostic and management algorithms for paediatric MDS and JMML. In order to understand more about the biology of this group of disorders I decided to focus on JMML as this was the largest distinct group of patients enrolled in the study. My specific aim has been to identify and characterise the disease-propagating population in JMML (the JMML 'leukaemic stem cells, LSC); which is a crucial step in understanding the disease evolution and dynamics of relapse. Prior to this work, there was almost nothing known about the haematopoietic hierarchy in JMML and the impact of JMML-associated mutations on haematopoiesis. With this study I analysed the JMML haematopoietic stem cell and progenitor cell (HSPC) compartments gaining new insights into the architecture of the JMML HSPC and their lineage potential. Using a single cell genotyping approach I was able to map the JMML mutations onto the haematopoietic hierarchy identifying for the first time the cellular compartment in which the JMML-associated mutations originate. The stem cell capacity of candidate JMML LSC was assessed with in vitro and in vivo stem cell assays establishing the identification of the disease propagating population(s). Molecular techniques, including RNA sequencing, then allowed me to molecularly characterise the JMML LSC and identify putative disease-specific targets and biomarkers that might be utilised in the future for disease burden monitoring and more effective treatments.

Published
2019

7. Comprehensive cancer-predisposition gene testing in an adult multiple primary tumor series shows a broad range of deleterious variants and atypical tumor phenotypes

Author

Whitworth, J, Smith, PS, Martin, J-E, West, H, Luchetti, A, Rodger, F, Clark, G, Carss, K, Stephens, J, Stirrups, K, Penkett, C, Mapeta, R, Ashford, S, Megy, K, Shakeel, H, Ahmed, M, Adlard, J, Barwell, J, Brewer, C, Casey, RT, Armstrong, R, Cole, T, Evans, DG, Fostira, F, Greenhalgh, L, Hanson, H, Henderson, A, Hoffman, J, Izatt, L, Kumar, A, Kwong, A, Lalloo, F, Ong, KR, Paterson, J, Park, S-M, Chen-Shtoyerman, R, Searle, C, Side, L, Skytte, A-B, Snape, K, Woodward, ER, Tischkowitz, MD, Maher, ER, Aitman, T, Alachkar, H, Ali, S, Allen, L, Allsup, D, Ambegaonkar, G, Anderson, J, Antrobus, R, Arno, G, Arumugakani, G, Astle, W, Attwood, A, Austin, S, Bacchelli, C, Bakchoul, T, Bariana, TK, Baxendale, H, Bennett, D, Bethune, C, Bibi, S, Bitner-Glindzicz, M, Bleda, M, Boggard, H, Bolton-Maggs, P, Booth, C, Bradley, JR, Brady, A, Brown, M, Browning, M, Bryson, C, Burns, S, Calleja, P, Canham, N, Carmichael, J, Caulfield, M, Chalmers, E, Chandra, A, Chinnery, P, Chitre, M, Church, C, Clement, E, Clements-Brod, N, Clowes, V, Coghlan, G, Collins, P, Cookson, V, Cooper, N, Corris, P, Creaser-Myers, A, Dacosta, R, Daugherty, L, Davies, S, Davis, J, De Vries, M, Deegan, P, Deevi, SVV, Deshpande, C, Devlin, L, Dewhurst, E, Dixon, P, Doffinger, R, Dormand, N, Drewe, E, Edgar, D, Egner, W, Erber, WN, Erwood, M, Everington, T, Favier, R, Firth, H, Fletcher, D, Flinter, F, Frary, A, Freson, K, Furie, B, Furnell, A, Gale, D, Gardham, A, Gattens, M, Ghali, N, Ghataorhe, PK, Ghurye, R, Gibbs, S, Gilmour, K, Gissen, P, Goddard, S, Gomez, K, Gordins, P, Graf, S, Gräf, S, Greene, D, Greenhalgh, A, Greinacher, A, Grigoriadou, S, Grozeva, D, Hackett, S, Hadinnapola, C, Hague, R, Haimel, M, Halmagyi, C, Hammerton, T, Hart, D, Hayman, G, Heemskerk, JWM, Henderson, R, Hensiek, A, Henskens, Y, Herwadkar, A, Holden, S, Holder, M, Holder, S, Hu, F, Veld, A, Huissoon, A, Humbert, M, Hurst, J, James, R, Jolles, S, Josifova, D, Kazmi, R, Keeling, D, Kelleher, P, Kelly, AM, Kennedy, F, Kiely, D, Kingston, N, Koziell, A, Krishnakumar, D, Kuijpers, TW, Kuijpers, T, Kumararatne, D, Kurian, M, Laffan, MA, Lambert, MP, Allen, HL, Lango-Allen, H, Lawrie, A, Lear, S, Lees, M, Lentaigne, C, Liesner, R, Linger, R, Longhurst, H, Lorenzo, L, Louka, E, Machado, R, Ross, RM, Maclaren, R, Maher, E, Maimaris, J, Mangles, S, Manson, A, Markus, HS, Martin, J, Masati, L, Mathias, M, Matser, V, Maw, A, McDermott, E, McJannet, C, Meacham, S, Meehan, S, Mehta, S, Michaelides, M, Millar, CM, Moledina, S, Moore, A, Morrell, N, Mumford, A, Murng, S, Murphy, E, Nejentsev, S, Noorani, S, Nurden, P, Oksenhendler, E, Othman, S, Ouwehand, WH, Papadia, S, Parker, A, Pasi, J, Patch, C, Payne, J, Peacock, A, Peerlinck, K, Penkett, CJ, Pepke-Zaba, J, Perry, D, Perry, DJ, Pollock, V, Polwarth, G, Ponsford, M, Qasim, W, Quinti, I, Rankin, S, Rankin, J, Raymond, FL, Rayner-Matthews, P, Rehnstrom, K, Reid, E, Rhodes, CJ, Richards, M, Richardson, S, Richter, A, Roberts, I, Rondina, M, Rosser, E, Roughley, C, Roy, N, Rue-Albrecht, K, Samarghitean, C, Sanchis-Juan, A, Sandford, R, Santra, S, Sargur, R, Savic, S, Schotte, G, Schulman, S, Schulze, H, Scott, R, Scully, M, Seneviratne, S, Sewell, C, Shamardina, O, Shipley, D, Simeoni, I, Sivapalaratnam, S, Smith, KGC, Sohal, A, Southgate, L, Staines, S, Staples, E, Stark, H, Stauss, H, Stein, P, Stock, S, Suntharalingam, J, Talks, K, Tan, Y, Thachil, J, Thaventhiran, J, Thomas, E, Thomas, M, Thompson, D, Thrasher, A, Tischkowitz, M, Titterton, C, Toh, C-H, Toshner, M, Treacy, C, Trembath, R, Tuna, S, Turek, W, Turro, E, Van Geet, C, Veltman, M, Vogt, J, Von Ziegenweldt, J, Noordegraaf, AV, Wakeling, E, Wanjiku, I, Warner, TQ, Wassmer, E, Watkins, H, Watt, C, Webster, N, Welch, S, Westbury, S, Wharton, J, Whitehorn, D, Wilkins, M, Willcocks, L, Williamson, C, Woods, G, Wort, J, Yeatman, N, Yong, P, Young, T, and Yu, P

Abstract

Multiple primary tumors (MPTs) affect a substantial proportion of cancer survivors and can result from various causes, including inherited predisposition. Currently, germline genetic testing of MPT-affected individuals for variants in cancer-predisposition genes (CPGs) is mostly targeted by tumor type. We ascertained pre-assessed MPT individuals (with at least two primary tumors by age 60 years or at least three by 70 years) from genetics centers and performed whole-genome sequencing (WGS) on 460 individuals from 440 families. Despite previous negative genetic assessment and molecular investigations, pathogenic variants in moderate- and high-risk CPGs were detected in 67/440 (15.2%) probands. WGS detected variants that would not be (or were not) detected by targeted resequencing strategies, including low-frequency structural variants (6/440 [1.4%] probands). In most individuals with a germline variant assessed as pathogenic or likely pathogenic (P/LP), at least one of their tumor types was characteristic of variants in the relevant CPG. However, in 29 probands (42.2% of those with a P/LP variant), the tumor phenotype appeared discordant. The frequency of individuals with truncating or splice-site CPG variants and at least one discordant tumor type was significantly higher than in a control population (χ2 = 43.642; p ≤ 0.0001). 2/67 (3%) probands with P/LP variants had evidence of multiple inherited neoplasia allele syndrome (MINAS) with deleterious variants in two CPGs. Together with variant detection rates from a previous series of similarly ascertained MPT-affected individuals, the present results suggest that first-line comprehensive CPG analysis in an MPT cohort referred to clinical genetics services would detect a deleterious variant in about a third of individuals.

Published
2018

8. Publisher Correction: Telomerecat: A ploidy-agnostic method for estimating telomere length from whole genome sequencing data

Author

Farmery, JHR, Smith, ML, Lynch, AG, Huissoon, A, Furnell, A, Mead, A, Levine, AP, Manzur, A, Thrasher, A, Greenhalgh, A, Parker, A, Sanchis-Juan, A, Richter, A, Gardham, A, Lawrie, A, Sohal, A, Creaser-Myers, A, Frary, A, Greinacher, A, Themistocleous, A, Peacock, AJ, Marshall, A, Mumford, A, Rice, A, Webster, A, Brady, A, Koziell, A, Manson, A, Chandra, A, Hensiek, A, In't Veld, AH, Maw, A, Kelly, AM, Moore, A, Noordegraaf, AV, Attwood, A, Herwadkar, A, Ghofrani, A, Houweling, AC, Girerd, B, Furie, B, Treacy, CM, Millar, CM, Sewell, C, Roughley, C, Titterton, C, Williamson, C, Hadinnapola, C, Deshpande, C, Toh, C-H, Bacchelli, C, Patch, C, Van Geet, C, Babbs, C, Bryson, C, Penkett, CJ, Rhodes, CJ, Watt, C, Bethune, C, Booth, C, Lentaigne, C, McJannet, C, Church, C, French, C, Samarghitean, C, Halmagyi, C, Gale, D, Greene, D, Hart, D, Allsup, D, Bennett, D, Edgar, D, Kiely, DG, Gosal, D, Perry, DJ, Keeling, D, Montani, D, Shipley, D, Whitehorn, D, Fletcher, D, Krishnakumar, D, Grozeva, D, Kumararatne, D, Thompson, D, Josifova, D, Maher, E, Wong, EKS, Murphy, E, Dewhurst, E, Louka, E, Rosser, E, Chalmers, E, Colby, E, Drewe, E, McDermott, E, Thomas, E, Staples, E, Clement, E, Matthews, E, Wakeling, E, Oksenhendler, E, Turro, E, Reid, E, Wassmer, E, Raymond, FL, Hu, F, Kennedy, F, Soubrier, F, Flinter, F, Kovacs, G, Polwarth, G, Ambegaonkar, G, Arno, G, Hudson, G, Woods, G, Coghlan, G, Hayman, G, Arumugakani, G, Schotte, G, Cook, HT, Alachkar, H, Allen, HL, Lango-Allen, H, Stark, H, Stauss, H, Schulze, H, Boggard, HJ, Baxendale, H, Dolling, H, Firth, H, Gall, H, Watson, H, Longhurst, H, Markus, HS, Watkins, H, Simeoni, I, Emmerson, I, Roberts, I, Quinti, I, Wanjiku, I, Gibbs, JSR, Thaventhiran, J, Whitworth, J, Hurst, J, Collins, J, Suntharalingam, J, Payne, J, Thachil, J, Martin, JM, Martin, J, Carmichael, J, Maimaris, J, Paterson, J, Pepke-Zaba, J, Heemskerk, JWM, Gebhart, J, Davis, J, Pasi, J, Bradley, JR, Wharton, J, Stephens, J, Rankin, J, Anderson, J, Vogt, J, Von Ziegenweldt, J, Rehnstrom, K, Megy, K, Talks, K, Peerlinck, K, Yates, K, Freson, K, Stirrups, K, Gomez, K, Smith, KGC, Carss, K, Rue-Albrecht, K, Gilmour, K, Masati, L, Scelsi, L, Southgate, L, Ranganathan, L, Ginsberg, L, Devlin, L, Willcocks, L, Ormondroyd, L, Lorenzo, L, Harper, L, Allen, L, Daugherty, L, Chitre, M, Kurian, M, Humbert, M, Tischkowitz, M, Bitner-Glindzicz, M, Erwood, M, Scully, M, Veltman, M, Caulfield, M, Layton, M, McCarthy, M, Ponsford, M, Toshner, M, Bleda, M, Wilkins, M, Mathias, M, Reilly, M, Afzal, M, Brown, M, Rondina, M, Stubbs, M, Haimel, M, Lees, M, Laffan, MA, Browning, M, Gattens, M, Richards, M, Michaelides, M, Lambert, MP, Makris, M, De Vries, M, Mahdi-Rogers, M, Saleem, M, Thomas, M, Holder, M, Eyries, M, Clements-Brod, N, Canham, N, Dormand, N, Van Zuydam, N, Kingston, N, Ghali, N, Cooper, N, Morrell, NW, Yeatman, N, Roy, N, Shamardina, O, Alavijeh, OS, Gresele, P, Nurden, P, Chinnery, P, Deegan, P, Yong, P, Yu-Wai-Man, P, Corris, PA, Calleja, P, Gissen, P, Bolton-Maggs, P, Rayner-Matthews, P, Ghataorhe, PK, Gordins, P, Stein, P, Collins, P, Dixon, P, Kelleher, P, Ancliff, P, Yu, P, Tait, RC, Linger, R, Doffinger, R, Machado, R, Kazmi, R, Sargur, R, Favier, R, Tan, R, Liesner, R, Antrobus, R, Sandford, R, Scott, R, Trembath, R, Horvath, R, Hadden, R, MackenzieRoss, RV, Henderson, R, MacLaren, R, James, R, Ghurye, R, DaCosta, R, Hague, R, Mapeta, R, Armstrong, R, Noorani, S, Murng, S, Santra, S, Tuna, S, Johnson, S, Chong, S, Lear, S, Walker, S, Goddard, S, Mangles, S, Westbury, S, Mehta, S, Hackett, S, Nejentsev, S, Moledina, S, Bibi, S, Meehan, S, Othman, S, Revel-Vilk, S, Holden, S, McGowan, S, Staines, S, Savic, S, Burns, S, Grigoriadou, S, Papadia, S, Ashford, S, Schulman, S, Ali, S, Park, S-M, Davies, S, Stock, S, Deevi, SVV, Graf, S, Ghio, S, Wort, SJ, Jolles, S, Austin, S, Welch, S, Meacham, S, Rankin, S, Seneviratne, S, Holder, S, Sivapalaratnam, S, Richardson, S, Kuijpers, T, Kuijpers, TW, Bariana, TK, Bakchoul, T, Everington, T, Renton, T, Young, T, Aitman, T, Warner, TQ, Vale, T, Hammerton, T, Pollock, V, Matser, V, Cookson, V, Clowes, V, Qasim, W, Wei, W, Erber, WN, Ouwehand, WH, Astle, W, Egner, W, Turek, W, Henskens, Y, Tan, Y, Lynch, Andy G [0000-0002-7876-7338], Apollo - University of Cambridge Repository, Medical Research Council (MRC), and British Heart Foundation

Subjects
Whole genome sequencing, 0303 health sciences, Multidisciplinary, Science & Technology, lcsh:R, lcsh:Medicine, Computational biology, Biology, Telomere, Multidisciplinary Sciences, 03 medical and health sciences, 0302 clinical medicine, NIHR BioResource - Rare Diseases, ComputingMethodologies_DOCUMENTANDTEXTPROCESSING, Science & Technology - Other Topics, lcsh:Q, Ploidy, lcsh:Science, 030217 neurology & neurosurgery, 030304 developmental biology
Abstract

Correction to: Scientific Reports https://doi.org/10.1038/s41598-017-14403-y, published online 22 January 2018 The original version of this Article contained a typographical error in the spelling of the consortium member Patrick Yu-Wai-Man which was incorrectly given as Patrick Yu Wai Man. In addition, a supplementary file containing additional algorithms and analysis was omitted from the original version of this Article. These errors have now been corrected in the HTML and PDF versions of the Article.

Published
2018

10. The Emerging Role of Human Gut Bacteria Extracellular Vesicles in Mental Disorders and Developing New Pharmaceuticals.

Author

Louka E and Koumandou VL

Abstract

In recent years, further evidence has emerged regarding the involvement of extracellular vesicles in various human physiopathological conditions such as Alzheimer's disease, Parkinson's disease, irritable bowel syndrome, and mental disorders. The biogenesis and cargo of such vesicles may reveal their impact on human health nd disease and set the underpinnings for the development of novel chemical compounds and pharmaceuticals. In this review, we examine the link between bacteria-derived exosomes in the gastrointestinal tract and mental disorders, such as depression and anxiety disorders. Crucially, we focus on whether changes in the gut environment affect the human mental state or the other way around. Furthermore, the possibility of handling bacteria-derived exosomes as vectors of chemicals to treat such conditions is examined.

Published
2024
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12. Heterogeneous disease-propagating stem cells in juvenile myelomonocytic leukemia.

Author

Louka E, Povinelli B, Rodriguez-Meira A, Buck G, Wen WX, Wang G, Sousos N, Ashley N, Hamblin A, Booth CAG, Roy A, Elliott N, Iskander D, de la Fuente J, Fordham N, O'Byrne S, Inglott S, Norfo R, Salio M, Thongjuea S, Rao A, Roberts I, and Mead AJ

Subjects
Animals, Biomarkers, Tumor genetics, Cell Line, Female, Humans, Leukemia, Myelomonocytic, Juvenile genetics, Male, Mice, Mutation genetics, Neoplastic Stem Cells pathology, Signal Transduction genetics, Up-Regulation genetics, Hematopoietic Stem Cells pathology, Leukemia, Myelomonocytic, Juvenile pathology
Abstract

Juvenile myelomonocytic leukemia (JMML) is a poor-prognosis childhood leukemia usually caused by RAS-pathway mutations. The cellular hierarchy in JMML is poorly characterized, including the identity of leukemia stem cells (LSCs). FACS and single-cell RNA sequencing reveal marked heterogeneity of JMML hematopoietic stem/progenitor cells (HSPCs), including an aberrant Lin-CD34+CD38-CD90+CD45RA+ population. Single-cell HSPC index-sorting and clonogenic assays show that (1) all somatic mutations can be backtracked to the phenotypic HSC compartment, with RAS-pathway mutations as a "first hit," (2) mutations are acquired with both linear and branching patterns of clonal evolution, and (3) mutant HSPCs are present after allogeneic HSC transplant before molecular/clinical evidence of relapse. Stem cell assays reveal interpatient heterogeneity of JMML LSCs, which are present in, but not confined to, the phenotypic HSC compartment. RNA sequencing of JMML LSC reveals up-regulation of stem cell and fetal genes (HLF, MEIS1, CNN3, VNN2, and HMGA2) and candidate therapeutic targets/biomarkers (MTOR, SLC2A1, and CD96), paving the way for LSC-directed disease monitoring and therapy in this disease., Competing Interests: Disclosures: S. O’Byrne reports personal fees from Becton, Dickinson and Company (employee as of August 2020) outside the submitted work. M. Salio reports personal fees from Nucleome Therapeutics outside the submitted work. N. Sousos reports expenses reimbursement from Pfizer Limited for attending the Pfizer-organized meeting titled "Leaders in Leukaemia," July 12-13, 2019, in London, UK. N. Sousos reports expenses reimbursement from Constellation Pharmaceuticals for attending the Constellation 0610-02 MANIFEST Study EU Investigator Meeting, January 31-February 1, 2019, in Rome, Italy. N. Sousos reports an educational travel grant from AOP Orphan Pharmaceuticals AG for attending the European Hematology Association meeting "Diagnosis and Management of Myeloproliferative Neoplasms," October 12-14, 2017, in Budapest, Hungary. No other disclosures were reported., (© 2021 Louka et al.)

Published
2021
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13. Discovery of Potent and Selective Antibody-Drug Conjugates with Eg5 Inhibitors through Linker and Payload Optimization.

Author

Karpov AS, Nieto-Oberhuber CM, Abrams T, Beng-Louka E, Blanco E, Chamoin S, Chene P, Dacquignies I, Daniel D, Dillon MP, Doumampouom-Metoul L, Drosos N, Fedoseev P, Furegati M, Granda B, Grotzfeld RM, Hess Clark S, Joly E, Jones D, Lacaud-Baumlin M, Lagasse-Guerro S, Lorenzana EG, Mallet W, Martyniuk P, Marzinzik AL, Mesrouze Y, Nocito S, Oei Y, Perruccio F, Piizzi G, Richard E, Rudewicz PJ, Schindler P, Velay M, Venstrom K, Wang P, Zurini M, and Lafrance M

Abstract

Targeted antimitotic agents are a promising class of anticancer therapies. Herein, we describe the development of a potent and selective antimitotic Eg5 inhibitor based antibody-drug conjugate (ADC). Preliminary studies were performed using proprietary Eg5 inhibitors which were conjugated onto a HER2-targeting antibody using maleimido caproyl valine-citrulline para-amino benzocarbamate, or MC-VC-PABC cleavable linker. However, the resulting ADCs lacked antigen-specificity in vivo, probably from premature release of the payload. Second-generation ADCs were then developed, using noncleavable linkers, and the resulting conjugates ( ADC-4 and ADC-10 ) led to in vivo efficacy in an HER-2 expressing (SK-OV-3ip) mouse xenograft model while ADC-11 led to in vivo efficacy in an anti-c-KIT (NCI-H526) mouse xenograft model in a target-dependent manner., Competing Interests: The authors declare no competing financial interest., (Copyright © 2019 American Chemical Society.)

Published
2019
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14. Unravelling Intratumoral Heterogeneity through High-Sensitivity Single-Cell Mutational Analysis and Parallel RNA Sequencing.

Author

Rodriguez-Meira A, Buck G, Clark SA, Povinelli BJ, Alcolea V, Louka E, McGowan S, Hamblin A, Sousos N, Barkas N, Giustacchini A, Psaila B, Jacobsen SEW, Thongjuea S, and Mead AJ

Subjects
Humans, Jurkat Cells, K562 Cells, Reproducibility of Results, Schizosaccharomyces genetics, Biomarkers, Tumor genetics, DNA Mutational Analysis methods, Genetic Heterogeneity, High-Throughput Nucleotide Sequencing, Leukemia genetics, Mutation, Sequence Analysis, RNA, Single-Cell Analysis
Abstract

Single-cell RNA sequencing (scRNA-seq) has emerged as a powerful tool for resolving transcriptional heterogeneity. However, its application to studying cancerous tissues is currently hampered by the lack of coverage across key mutation hotspots in the vast majority of cells; this lack of coverage prevents the correlation of genetic and transcriptional readouts from the same single cell. To overcome this, we developed TARGET-seq, a method for the high-sensitivity detection of multiple mutations within single cells from both genomic and coding DNA, in parallel with unbiased whole-transcriptome analysis. Applying TARGET-seq to 4,559 single cells, we demonstrate how this technique uniquely resolves transcriptional and genetic tumor heterogeneity in myeloproliferative neoplasms (MPN) stem and progenitor cells, providing insights into deregulated pathways of mutant and non-mutant cells. TARGET-seq is a powerful tool for resolving the molecular signatures of genetically distinct subclones of cancer cells., (Copyright © 2019 The Author(s). Published by Elsevier Inc. All rights reserved.)

Published
2019
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15. Rectal ischemia mimicked tumor mass.

Author

Zikos N, Aggeli P, Louka E, and Pappas-Gogos G

Abstract

Ischemic proctitis is a rare disease which is usually encountered in elderly with comorbidities. We present a case of an 80-year old man with severe coronary disease who presented with severe hematochezia and hypotension. Endoscopy revealed a rectal mass 3-4 cm above the dental line and rectosigmoid mucosal inflammation compatible with ischemic colitis. The rectal insult was so intense that it resembled a neoplasmatic lesion. We discuss the causes, the prognostic factors, and the clinical and therapeutic challenges of this rare, albeit life-threatening entity, and we review the relative literature. A percentage of 10%-20% of patients with ischemic colitis usually have a distal potentially obstructing lesion or disorder such as cancer, diverticulitis or fecal impaction. Ischemic colitis, when mucosal and submucosal edema is severe and hemorrhagic nodules are large enough, can mimic a neoplasmatic lesion. The best treatment approach is a conservative management initially with a close clinical followup and after stabilization a repetition of rectal endoscopy with new biopsies. Early recognition of this clinical entity is of paramount importance to implement appropriate therapy (conservative or surgical) and avoid potentially fatal treatment of presumed inflammatory or infectious bowel diseases.

Published
2013
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