P2RY8-CRLF2 Fusion but Not for CRLF2 Over-Expression in Children with Intermediate Risk B-Cell Precursor Acute Lymphoblastic Leukemia
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Clinical Application of Whole Transcriptome Sequencing for The
Walter et al. BMC Cancer (2021) 21:886 https://doi.org/10.1186/s12885-021-08635-5 RESEARCH Open Access Clinical application of whole transcriptome sequencing for the classification of patients with acute lymphoblastic leukemia Wencke Walter1*, Rabia Shahswar2, Anna Stengel1, Manja Meggendorfer1, Wolfgang Kern1, Torsten Haferlach1 and Claudia Haferlach1 Abstract Background: Considering the clinical and genetic characteristics, acute lymphoblastic leukemia (ALL) is a rather heterogeneous hematological neoplasm for which current standard diagnostics require various analyses encompassing morphology, immunophenotyping, cytogenetics, and molecular analysis of gene fusions and mutations. Hence, it would be desirable to rely on a technique and an analytical workflow that allows the simultaneous analysis and identification of all the genetic alterations in a single approach. Moreover, based on the results with standard methods, a significant amount of patients have no established abnormalities and hence, cannot further be stratified. Methods: We performed WTS and WGS in 279 acute lymphoblastic leukemia (ALL) patients (B-cell: n = 211; T-cell: n = 68) to assess the accuracy of WTS, to detect relevant genetic markers, and to classify ALL patients. Results: DNA and RNA-based genotyping was used to ensure correct WTS-WGS pairing. Gene expression analysis reliably assigned samples to the B Cell Precursor (BCP)-ALL or the T-ALL group. Subclassification of BCP-ALL samples was done progressively, assessing first the presence of chromosomal rearrangements by the means of fusion detection. Compared to the standard methods, 97% of the recurrent risk-stratifying fusions could be identified by WTS, assigning 76 samples to their respective entities. Additionally, read-through fusions (indicative of CDKN2A and RB1 gene deletions) were recurrently detected in the cohort along with 57 putative novel fusions, with yet untouched diagnostic potentials. -
A Computational Approach for Defining a Signature of Β-Cell Golgi Stress in Diabetes Mellitus
Page 1 of 781 Diabetes A Computational Approach for Defining a Signature of β-Cell Golgi Stress in Diabetes Mellitus Robert N. Bone1,6,7, Olufunmilola Oyebamiji2, Sayali Talware2, Sharmila Selvaraj2, Preethi Krishnan3,6, Farooq Syed1,6,7, Huanmei Wu2, Carmella Evans-Molina 1,3,4,5,6,7,8* Departments of 1Pediatrics, 3Medicine, 4Anatomy, Cell Biology & Physiology, 5Biochemistry & Molecular Biology, the 6Center for Diabetes & Metabolic Diseases, and the 7Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202; 2Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202; 8Roudebush VA Medical Center, Indianapolis, IN 46202. *Corresponding Author(s): Carmella Evans-Molina, MD, PhD ([email protected]) Indiana University School of Medicine, 635 Barnhill Drive, MS 2031A, Indianapolis, IN 46202, Telephone: (317) 274-4145, Fax (317) 274-4107 Running Title: Golgi Stress Response in Diabetes Word Count: 4358 Number of Figures: 6 Keywords: Golgi apparatus stress, Islets, β cell, Type 1 diabetes, Type 2 diabetes 1 Diabetes Publish Ahead of Print, published online August 20, 2020 Diabetes Page 2 of 781 ABSTRACT The Golgi apparatus (GA) is an important site of insulin processing and granule maturation, but whether GA organelle dysfunction and GA stress are present in the diabetic β-cell has not been tested. We utilized an informatics-based approach to develop a transcriptional signature of β-cell GA stress using existing RNA sequencing and microarray datasets generated using human islets from donors with diabetes and islets where type 1(T1D) and type 2 diabetes (T2D) had been modeled ex vivo. To narrow our results to GA-specific genes, we applied a filter set of 1,030 genes accepted as GA associated. -
Targeting TSLP-Induced Tyrosine Kinase Signaling Pathways in CRLF2-Rearranged Ph-Like ALL Keith C.S
Published OnlineFirst August 14, 2020; DOI: 10.1158/1541-7786.MCR-19-1098 MOLECULAR CANCER RESEARCH | CANCER GENES AND NETWORKS Targeting TSLP-Induced Tyrosine Kinase Signaling Pathways in CRLF2-Rearranged Ph-like ALL Keith C.S. Sia1, Ling Zhong2, Chelsea Mayoh1, Murray D. Norris1,3, Michelle Haber1, Glenn M. Marshall1,4, Mark J. Raftery2, and Richard B. Lock1,3 ABSTRACT ◥ Philadelphia (Ph)-like acute lymphoblastic leukemia (ALL) is combination cytotoxicity assays using the tyrosine kinase inhi- characterized by aberrant activation of signaling pathways and bitors BMS-754807 and ponatinib that target IGF1R and FGFR1, high risk of relapse. Approximately 50% of Ph-like ALL cases respectively, revealed strong synergy against both cell line and overexpress cytokine receptor-like factor 2 (CRLF2) associated patient-derived xenograft (PDX) models of CRLF2r Ph-like ALL. with gene rearrangement. Activated by its ligand thymic stromal Further analyses also indicated off-target effects of ponatinib in lymphopoietin (TSLP), CRLF2 signaling is critical for the devel- the synergy, and novel association of the Ras-associated protein- opment, proliferation, and survival of normal lymphocytes. To 1 (Rap1) signaling pathway with TSLP signaling in CRLF2r Ph- examine activation of tyrosine kinases regulated by TSLP/CRLF2, like ALL. When tested in vivo, the BMS-754807/ponatinib com- phosphotyrosine (P-Tyr) profiling coupled with stable isotope bination exerted minimal efficacy against 2 Ph-like ALL PDXs, labeling of amino acids in cell culture (SILAC) was conducted associated with low achievable plasma drug concentrations. using two CRLF2-rearranged (CRLF2r) Ph-like ALL cell lines Although this study identified potential new targets in CRLF2r stimulated with TSLP. -
Dux4r, Znf384r and PAX5-P80R Mutated B-Cell Precursor Acute
Acute Lymphoblastic Leukemia SUPPLEMENTARY APPENDIX DUX4r , ZNF384r and PAX5 -P80R mutated B-cell precursor acute lymphoblastic leukemia frequently undergo monocytic switch Michaela Novakova, 1,2,3* Marketa Zaliova, 1,2,3* Karel Fiser, 1,2* Barbora Vakrmanova, 1,2 Lucie Slamova, 1,2,3 Alena Musilova, 1,2 Monika Brüggemann, 4 Matthias Ritgen, 4 Eva Fronkova, 1,2,3 Tomas Kalina, 1,2,3 Jan Stary, 2,3 Lucie Winkowska, 1,2 Peter Svec, 5 Alexandra Kolenova, 5 Jan Stuchly, 1,2 Jan Zuna, 1,2,3 Jan Trka, 1,2,3 Ondrej Hrusak 1,2,3# and Ester Mejstrikova 1,2,3# 1CLIP - Childhood Leukemia Investigation Praguerague, Czech Republic; 2Department of Paediatric Hematology and Oncology, Second Faculty of Medicine, Charles University, Prague, Czech Republic; 3University Hospital Motol, Prague, Czech Republic; 4Department of In - ternal Medicine II, University Hospital Schleswig-Holstein, Kiel, Germany and 5Comenius University, National Institute of Children’s Dis - eases, Bratislava, Slovakia *MN, MZ and KF contributed equally as co-first authors. #OH and EM contributed equally as co-senior authors. ©2021 Ferrata Storti Foundation. This is an open-access paper. doi:10.3324/haematol. 2020.250423 Received: February 18, 2020. Accepted: June 25, 2020. Pre-published: July 9, 2020. Correspondence: ESTER MEJSTRIKOVA - [email protected] Table S1. S1a. List of antibodies used for diagnostic immunophenotyping. Antibody Fluorochrome Clone Catalogue number Manufacturer CD2 PE 39C1.5 A07744 Beckman Coulter CD3 FITC UCHT1 1F-202-T100 Exbio CD4 PE-Cy7 -
WO 2019/079361 Al 25 April 2019 (25.04.2019) W 1P O PCT
(12) INTERNATIONAL APPLICATION PUBLISHED UNDER THE PATENT COOPERATION TREATY (PCT) (19) World Intellectual Property Organization I International Bureau (10) International Publication Number (43) International Publication Date WO 2019/079361 Al 25 April 2019 (25.04.2019) W 1P O PCT (51) International Patent Classification: CA, CH, CL, CN, CO, CR, CU, CZ, DE, DJ, DK, DM, DO, C12Q 1/68 (2018.01) A61P 31/18 (2006.01) DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, C12Q 1/70 (2006.01) HR, HU, ID, IL, IN, IR, IS, JO, JP, KE, KG, KH, KN, KP, KR, KW, KZ, LA, LC, LK, LR, LS, LU, LY, MA, MD, ME, (21) International Application Number: MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, PCT/US2018/056167 OM, PA, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SA, (22) International Filing Date: SC, SD, SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, TN, 16 October 2018 (16. 10.2018) TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW. (25) Filing Language: English (84) Designated States (unless otherwise indicated, for every kind of regional protection available): ARIPO (BW, GH, (26) Publication Language: English GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, ST, SZ, TZ, (30) Priority Data: UG, ZM, ZW), Eurasian (AM, AZ, BY, KG, KZ, RU, TJ, 62/573,025 16 October 2017 (16. 10.2017) US TM), European (AL, AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, ΓΕ , IS, IT, LT, LU, LV, (71) Applicant: MASSACHUSETTS INSTITUTE OF MC, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, TECHNOLOGY [US/US]; 77 Massachusetts Avenue, TR), OAPI (BF, BJ, CF, CG, CI, CM, GA, GN, GQ, GW, Cambridge, Massachusetts 02139 (US). -
Characterisation of the Genomic Landscape of CRLF2‐Rearranged Acute Lymphoblastic Leukemia
Characterisation of the Genomic Landscape of CRLF2- rearranged Acute Lymphoblastic Leukemia Lisa J Russell1*, Lisa Jones1, Amir Enshaei1, Stefano Tonin1, Sarra L Ryan1, Jeyanthy Eswaran1 , Sirintra Nakjang2, Elli Papaemmanuil3,4, Jose M C Tubio4, Adele K Fielding5, Ajay Vora6, Peter J Campbell4, Anthony V Moorman1, and Christine J Harrison1 1 Leukaemia Research Cytogenetics Group, Northern Institute for Cancer Research, Newcastle University, Newcastle-upon-Tyne, UK 2 Bioinformatics Support Unit, Newcastle University, Newcastle-upon-Tyne, UK 3 Memorial Sloan Kettering Cancer Center, USA 4 Cancer Genome Project, Wellcome Trust Sanger Institute, Hinxton, UK 5 Research Department of Haemaoloty, UCL Cancer Institute, London, UK 6 Department of Haematology, Sheffield Children’s Hospital, Sheffield, UK; AVM and CJH contributed equally to this study Running Title – Genomic landscape of CRLF2 rearranged leukemia Correspondence to: Dr Lisa J Russell, Wolfson Childhood Cancer Research Centre, Northern Institute for Cancer Research, Newcastle University, Level 6, Herschel Building, Brewery Lane, Newcastle upon Tyne, NE1 7RU, [email protected]. Acknowledgements Support by: The Kay Kendall Leukaemia Fund, Leuka, European Haematology Association and Bloodwise (formerly Leukaemia and Lymphoma Research) This article has been accepted for publication and undergone full peer review but has not been through the copyediting, typesetting, pagination and proofreading process which may lead to differences between this version and the Version of Record. Please cite this article as an ‘Accepted Article’, doi: 10.1002/gcc.22439 This article is protected by copyright. All rights reserved. Genes, Chromosomes & Cancer Page 2 of 147 Deregulated expression of the type I cytokine receptor, CRLF2, is observed in 5-15% of precursor B-cell acute lymphoblastic leukaemia (B-ALL). -
G Protein-Coupled Receptors
S.P.H. Alexander et al. The Concise Guide to PHARMACOLOGY 2015/16: G protein-coupled receptors. British Journal of Pharmacology (2015) 172, 5744–5869 THE CONCISE GUIDE TO PHARMACOLOGY 2015/16: G protein-coupled receptors Stephen PH Alexander1, Anthony P Davenport2, Eamonn Kelly3, Neil Marrion3, John A Peters4, Helen E Benson5, Elena Faccenda5, Adam J Pawson5, Joanna L Sharman5, Christopher Southan5, Jamie A Davies5 and CGTP Collaborators 1School of Biomedical Sciences, University of Nottingham Medical School, Nottingham, NG7 2UH, UK, 2Clinical Pharmacology Unit, University of Cambridge, Cambridge, CB2 0QQ, UK, 3School of Physiology and Pharmacology, University of Bristol, Bristol, BS8 1TD, UK, 4Neuroscience Division, Medical Education Institute, Ninewells Hospital and Medical School, University of Dundee, Dundee, DD1 9SY, UK, 5Centre for Integrative Physiology, University of Edinburgh, Edinburgh, EH8 9XD, UK Abstract The Concise Guide to PHARMACOLOGY 2015/16 provides concise overviews of the key properties of over 1750 human drug targets with their pharmacology, plus links to an open access knowledgebase of drug targets and their ligands (www.guidetopharmacology.org), which provides more detailed views of target and ligand properties. The full contents can be found at http://onlinelibrary.wiley.com/doi/ 10.1111/bph.13348/full. G protein-coupled receptors are one of the eight major pharmacological targets into which the Guide is divided, with the others being: ligand-gated ion channels, voltage-gated ion channels, other ion channels, nuclear hormone receptors, catalytic receptors, enzymes and transporters. These are presented with nomenclature guidance and summary information on the best available pharmacological tools, alongside key references and suggestions for further reading. -
Most Variable Genes and Transcription Factors in Acute Lymphoblastic Leukemia Patients
Interdisciplinary Sciences: Computational Life Sciences https://doi.org/10.1007/s12539-019-00325-y ORIGINAL RESEARCH ARTICLE Most Variable Genes and Transcription Factors in Acute Lymphoblastic Leukemia Patients Anil Kumar Tomar1 · Rahul Agarwal2 · Bishwajit Kundu1 Received: 24 September 2018 / Revised: 21 January 2019 / Accepted: 26 February 2019 © International Association of Scientists in the Interdisciplinary Areas 2019 Abstract Acute lymphoblastic leukemia (ALL) is a hematologic tumor caused by cell cycle aberrations due to accumulating genetic disturbances in the expression of transcription factors (TFs), signaling oncogenes and tumor suppressors. Though survival rate in childhood ALL patients is increased up to 80% with recent medical advances, treatment of adults and childhood relapse cases still remains challenging. Here, we have performed bioinformatics analysis of 207 ALL patients’ mRNA expression data retrieved from the ICGC data portal with an objective to mark out the decisive genes and pathways responsible for ALL pathogenesis and aggression. For analysis, 3361 most variable genes, including 276 transcription factors (out of 16,807 genes) were sorted based on the coefcient of variance. Silhouette width analysis classifed 207 ALL patients into 6 subtypes and heat map analysis suggests a need of large and multicenter dataset for non-overlapping subtype classifcation. Overall, 265 GO terms and 32 KEGG pathways were enriched. The lists were dominated by cancer-associated entries and highlight crucial genes and pathways that can be targeted for designing more specifc ALL therapeutics. Diferential gene expression analysis identifed upregulation of two important genes, JCHAIN and CRLF2 in dead patients’ cohort suggesting their pos- sible involvement in diferent clinical outcomes in ALL patients undergoing the same treatment. -
WO 2015/007520 Al 22 January 2015 (22.01.2015) P O P C T
(12) INTERNATIONAL APPLICATION PUBLISHED UNDER THE PATENT COOPERATION TREATY (PCT) (19) World Intellectual Property Organization International Bureau (10) International Publication Number (43) International Publication Date WO 2015/007520 Al 22 January 2015 (22.01.2015) P O P C T (51) International Patent Classification: lon, F-34095 Montpellier (FR). GARCIN, Genevieve; Rue C07K 16/46 (2006.01) C07K 19/00 (2006.01) de Tyr 89, Montpellier, 34090 (FR). (21) International Application Number: (74) Common Representative: VIB VZW; Rijvisschestraat PCT/EP2014/063976 120, B-9052 Gent (BE). (22) International Filing Date: (81) Designated States (unless otherwise indicated, for every 1 July 2014 (01 .07.2014) kind of national protection available): AE, AG, AL, AM, AO, AT, AU, AZ, BA, BB, BG, BH, BN, BR, BW, BY, (25) Filing Language: English BZ, CA, CH, CL, CN, CO, CR, CU, CZ, DE, DK, DM, (26) Publication Language: English DO, DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, HR, HU, ID, IL, IN, IR, IS, JP, KE, KG, KN, KP, KR, (30) Priority Data: KZ, LA, LC, LK, LR, LS, LT, LU, LY, MA, MD, ME, 13306045.9 19 July 2013 (19.07.2013) EP MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, (71) Applicants: VIB VZW [BE/BE]; Rijvisschestraat 120, B- OM, PA, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SA, 9052 Gent (BE). UNIVERSITEIT GENT [BE/BE]; Sint- SC, SD, SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, Pietersnieuwstraat 25, B-9000 Gent (BE). CENTRE NA¬ TN, TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, TIONAL DE LA RECHERCHE SCIENTIFIQUE ZW. -
G Protein‐Coupled Receptors
S.P.H. Alexander et al. The Concise Guide to PHARMACOLOGY 2019/20: G protein-coupled receptors. British Journal of Pharmacology (2019) 176, S21–S141 THE CONCISE GUIDE TO PHARMACOLOGY 2019/20: G protein-coupled receptors Stephen PH Alexander1 , Arthur Christopoulos2 , Anthony P Davenport3 , Eamonn Kelly4, Alistair Mathie5 , John A Peters6 , Emma L Veale5 ,JaneFArmstrong7 , Elena Faccenda7 ,SimonDHarding7 ,AdamJPawson7 , Joanna L Sharman7 , Christopher Southan7 , Jamie A Davies7 and CGTP Collaborators 1School of Life Sciences, University of Nottingham Medical School, Nottingham, NG7 2UH, UK 2Monash Institute of Pharmaceutical Sciences and Department of Pharmacology, Monash University, Parkville, Victoria 3052, Australia 3Clinical Pharmacology Unit, University of Cambridge, Cambridge, CB2 0QQ, UK 4School of Physiology, Pharmacology and Neuroscience, University of Bristol, Bristol, BS8 1TD, UK 5Medway School of Pharmacy, The Universities of Greenwich and Kent at Medway, Anson Building, Central Avenue, Chatham Maritime, Chatham, Kent, ME4 4TB, UK 6Neuroscience Division, Medical Education Institute, Ninewells Hospital and Medical School, University of Dundee, Dundee, DD1 9SY, UK 7Centre for Discovery Brain Sciences, University of Edinburgh, Edinburgh, EH8 9XD, UK Abstract The Concise Guide to PHARMACOLOGY 2019/20 is the fourth in this series of biennial publications. The Concise Guide provides concise overviews of the key properties of nearly 1800 human drug targets with an emphasis on selective pharmacology (where available), plus links to the open access knowledgebase source of drug targets and their ligands (www.guidetopharmacology.org), which provides more detailed views of target and ligand properties. Although the Concise Guide represents approximately 400 pages, the material presented is substantially reduced compared to information and links presented on the website. -
Genetic Alterations in High-Risk B-Progenitor Acute Lymphoblastic Leukemia
SECTION A Genetic Alterations in High-Risk B-Progenitor Acute Lymphoblastic Leukemia Charles G. Mullighan Abstract adulthood, cure rates for ALL fall sharply, and the genetic and biologic determinants of Recent studies profiling genetic alterations in treatment failure remain incompletely B-progenitor acute lymphoblastic leukemia understood (8,9). (B-ALL) at high resolution have identified multiple recurring submicroscopic genetic alterations ALL has long been exceptionally well targeting key cellular pathways in lymphoid cell characterized at the cytogenetic level, and growth, differentiation and tumor suppression. approximately three quarters of childhood ALL A key finding has been that genetic alterations cases harbor recurring gross genetic alterations, disrupting normal lymphoid growth and including chromosomal aneuploidy (high differentiation and are associated with treatment hyperdiploidy and hypodiploidy), and outcome. Notably, genetic alterations targeting rearrangements that dysregulate hematopoietic lymphoid development are present in over two- regulators, transcription factors, and tyrosine thirds of B-ALL cases, including deletions, kinases. These include rearrangements resulting translocations and sequence mutations of the in (e.g. ETV6-RUNX1, TCF3-PBX1, BCR-ABL1, transcriptional regulators PAX5, IKZF1, and EBF1. rearrangement of MLL, and rearrangements of Deletion or mutation of the early lymphoid T cell receptor genes to hematopoietic regulators transcription factor gene IKZF1 is hallmark of and transcription factors in T-lineage ALL) multiple subtypes of ALL with poor prognosis, (10,11). While alterations associated with including BCR-ABL1 positive (Ph+) lymphoid favorable outcome (e.g. high hyperdiploidy and leukemia and a novel subset of BCR-ABL1-like ETV6-RUNX1) are characteristic of childhood ALL cases that have a gene expression profile ALL, and the frequency of BCR-ABL1 similar to that of Ph+ B-ALL, but lack expression (Philadelphia chromosome positive, or Ph+) ALL of BCR-ABL1. -
Down Syndrome Acute Lymphoblastic Leukemia, a Highly Heterogeneous
Hertzberg, L; Vendramini, E; Ganmore, I; Cazzaniga, G; Schmitz, M; Chalker, J; Shiloh, R; Iacobucci, I; Shochat, C; Zeligson, S; Cario, G; Stanulla, M; Strehl, S; Russell, L J; Harrison, C J; Bornhauser, B; Yoda, A; Rechavi, G; Bercovich, D; Borkhardt, A; Kempski, H; te Kronnie, G; Bourquin, J P; Domany, E; Izraeli, S (2010). Down syndrome acute lymphoblastic leukemia, a highly heterogeneous disease in which aberrant expression of CRLF2 is associated with mutated JAK2: a report from the International BFM Study Group. Blood, 115(5):1006-1017. University of Zurich Postprint available at: Zurich Open Repository and Archive http://www.zora.uzh.ch Posted at the Zurich Open Repository and Archive, University of Zurich. http://www.zora.uzh.ch Winterthurerstr. 190 Originally published at: CH-8057 Zurich Blood 2010, 115(5):1006-1017. http://www.zora.uzh.ch Year: 2010 Down syndrome acute lymphoblastic leukemia, a highly heterogeneous disease in which aberrant expression of CRLF2 is associated with mutated JAK2: a report from the International BFM Study Group Hertzberg, L; Vendramini, E; Ganmore, I; Cazzaniga, G; Schmitz, M; Chalker, J; Shiloh, R; Iacobucci, I; Shochat, C; Zeligson, S; Cario, G; Stanulla, M; Strehl, S; Russell, L J; Harrison, C J; Bornhauser, B; Yoda, A; Rechavi, G; Bercovich, D; Borkhardt, A; Kempski, H; te Kronnie, G; Bourquin, J P; Domany, E; Izraeli, S Hertzberg, L; Vendramini, E; Ganmore, I; Cazzaniga, G; Schmitz, M; Chalker, J; Shiloh, R; Iacobucci, I; Shochat, C; Zeligson, S; Cario, G; Stanulla, M; Strehl, S; Russell, L J; Harrison, C J; Bornhauser, B; Yoda, A; Rechavi, G; Bercovich, D; Borkhardt, A; Kempski, H; te Kronnie, G; Bourquin, J P; Domany, E; Izraeli, S (2010).