ChIP-seq of plasma cell-free nucleosomes identifies gene expression programs of the cells of origin.


Journal

Nature biotechnology
ISSN: 1546-1696
Titre abrégé: Nat Biotechnol
Pays: United States
ID NLM: 9604648

Informations de publication

Date de publication:
05 2021
Historique:
received: 20 09 2019
accepted: 17 11 2020
pubmed: 13 1 2021
medline: 29 6 2021
entrez: 12 1 2021
Statut: ppublish

Résumé

Cell-free DNA (cfDNA) in human plasma provides access to molecular information about the pathological processes in the organs or tumors from which it originates. These DNA fragments are derived from fragmented chromatin in dying cells and retain some of the cell-of-origin histone modifications. In this study, we applied chromatin immunoprecipitation of cell-free nucleosomes carrying active chromatin modifications followed by sequencing (cfChIP-seq) to 268 human samples. In healthy donors, we identified bone marrow megakaryocytes, but not erythroblasts, as major contributors to the cfDNA pool. In patients with a range of liver diseases, we showed that we can identify pathology-related changes in hepatocyte transcriptional programs. In patients with metastatic colorectal carcinoma, we detected clinically relevant and patient-specific information, including transcriptionally active human epidermal growth factor receptor 2 (HER2) amplifications. Altogether, cfChIP-seq, using low sequencing depth, provides systemic and genome-wide information and can inform diagnosis and facilitate interrogation of physiological and pathological processes using blood samples.

Identifiants

pubmed: 33432199
doi: 10.1038/s41587-020-00775-6
pii: 10.1038/s41587-020-00775-6
pmc: PMC7610786
mid: EMS114933
doi:

Substances chimiques

Nucleosomes 0

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

586-598

Subventions

Organisme : European Research Council
ID : 340712
Pays : International
Organisme : NCI NIH HHS
ID : R01 CA197081
Pays : United States
Organisme : NHGRI NIH HHS
ID : RM1 HG006193
Pays : United States

Commentaires et corrections

Type : ErratumIn
Type : ErratumIn

Références

Mandel, P. Les acides nucleiques du plasma sanguin chez l’homme. CR Acad. Sci. Paris 142, 241–243 (1948).
Lo, Y. M. et al. Rapid clearance of fetal DNA from maternal plasma. Am. J. Hum. Genet. 64, 218–224 (1999).
pubmed: 9915961 pmcid: 1377720 doi: 10.1086/302205
De Vlaminck, I. et al. Circulating cell-free DNA enables noninvasive diagnosis of heart transplant rejection. Sci. Transl. Med. 6, 241ra77 (2014).
pubmed: 24944192 pmcid: 4326260 doi: 10.1126/scitranslmed.3007803
Schwarzenbach, H., Hoon, D. S. & Pantel, K. Cell-free nucleic acids as biomarkers in cancer patients. Nat. Rev. Cancer 11, 426–437 (2011).
pubmed: 21562580 doi: 10.1038/nrc3066
Sun, K. et al. Plasma DNA tissue mapping by genome-wide methylation sequencing for noninvasive prenatal, cancer, and transplantation assessments. Proc. Natl Acad. Sci. USA 112, E5503–E5512 (2015).
pubmed: 26392541 pmcid: 4603482 doi: 10.1073/pnas.1508736112
Lu, J.-L. & Liang, Z.-Y. Circulating free DNA in the era of precision oncology: pre- and post-analytical concerns. Chronic Dis. Transl. Med. 2, 223–230 (2016).
pubmed: 29063046 pmcid: 5643833
Wan, J. C. et al. Liquid biopsies come of age: towards implementation of circulating tumour DNA. Nat. Rev. Cancer 17, 223–238 (2017).
pubmed: 28233803 doi: 10.1038/nrc.2017.7
Lehmann-Werman, R. et al. Identification of tissue-specific cell death using methylation patterns of circulating DNA. Proc. Natl Acad. Sci. USA 113, E1826–E1834 (2016).
pubmed: 26976580 pmcid: 4822610 doi: 10.1073/pnas.1519286113
Guo, S. et al. Identification of methylation haplotype blocks aids in deconvolution of heterogeneous tissue samples and tumor tissue-of-origin mapping from plasma DNA. Nat. Genet. 49, 635–642 (2017).
pubmed: 28263317 pmcid: 5374016 doi: 10.1038/ng.3805
Kang, S. et al. CancerLocator: non-invasive cancer diagnosis and tissue-of-origin prediction using methylation profiles of cell-free DNA. Genome Biol. 18, 53 (2017).
pubmed: 28335812 pmcid: 5364586 doi: 10.1186/s13059-017-1191-5
Moss, J. et al. Comprehensive human cell-type methylation atlas reveals origins of circulating cell-free DNA in health and disease. Nat. Commun. 9, 448142 (2018).
doi: 10.1038/s41467-018-07466-6
Kornberg, R. D. & Lorch, Y. Twenty-five years of the nucleosome, fundamental particle of the eukaryote chromosome. Cell 98, 285–294 (1999).
pubmed: 10458604 doi: 10.1016/S0092-8674(00)81958-3
Li, B., Carey, M. & Workman, J. L. The role of chromatin during transcription. Cell 128, 707–719 (2007).
pubmed: 17320508 doi: 10.1016/j.cell.2007.01.015
Guenther, M. G., Levine, S. S., Boyer, L. A., Jaenisch, R. & Young, R. A. A chromatin landmark and transcription initiation at most promoters in human cells. Cell 130, 77–88 (2007).
pubmed: 17632057 pmcid: 3200295 doi: 10.1016/j.cell.2007.05.042
Berger, S. L. The complex language of chromatin regulation during transcription. Nature 447, 407 (2007).
pubmed: 17522673 doi: 10.1038/nature05915
Venkatesh, S. & Workman, J. L. Histone exchange, chromatin structure and the regulation of transcription. Nat. Rev. Mol. Cell Biol. 16, 178 (2015).
pubmed: 25650798 doi: 10.1038/nrm3941
Heintzman, N. D. et al. Distinct and predictive chromatin signatures of transcriptional promoters and enhancers in the human genome. Nat. Genet. 39, 311–318 (2007).
pubmed: 17277777 doi: 10.1038/ng1966
Barski, A. et al. High-resolution profiling of histone methylations in the human genome. Cell 129, 823–837 (2007).
pubmed: 17512414 doi: 10.1016/j.cell.2007.05.009
Heintzman, N. D. et al. Histone modifications at human enhancers reflect global cell-type-specific gene expression. Nature 459, 108–112 (2009).
pubmed: 19295514 pmcid: 2910248 doi: 10.1038/nature07829
Lenhard, B., Sandelin, A. & Carninci, P. Metazoan promoters: emerging characteristics and insights into transcriptional regulation. Nat. Rev. Genet. 13, 233–245 (2012).
pubmed: 22392219 doi: 10.1038/nrg3163
Calo, E. & Wysocka, J. Modification of enhancer chromatin: what, how, and why? Mol. Cell 49, 825–837 (2013).
pubmed: 23473601 doi: 10.1016/j.molcel.2013.01.038
Lawrence, M., Daujat, S. & Schneider, R. Lateral thinking: how histone modifications regulate gene expression. Trends Genet. 32, 42–56 (2016).
pubmed: 26704082 doi: 10.1016/j.tig.2015.10.007
ENCODE Project Consortium. The ENCODE (ENCyclopedia Of DNA Elements) Project. Science 306, 636–640 (2004).
doi: 10.1126/science.1105136
Visel, A. et al. ChIP-seq accurately predicts tissue-specific activity of enhancers. Nature 457, 854–858 (2009).
pubmed: 19212405 pmcid: 2745234 doi: 10.1038/nature07730
Roadmap Epigenomics Consortium et al. Integrative analysis of 111 reference human epigenomes. Nature 518, 317–330 (2015).
Lara-Astiaso, D. et al. Chromatin state dynamics during blood formation. Science 345, 943–949 (2014).
pubmed: 25103404 pmcid: 4412442 doi: 10.1126/science.1256271
Weiner, A. et al. High-resolution chromatin dynamics during a yeast stress response. Mol. Cell 58, 371–386 (2015).
pubmed: 25801168 pmcid: 4405355 doi: 10.1016/j.molcel.2015.02.002
Holdenrieder, S. et al. Nucleosomes in serum of patients with benign and malignant diseases. Int. J. Cancer 95, 114–120 (2001).
pubmed: 11241322 doi: 10.1002/1097-0215(20010320)95:2<114::AID-IJC1020>3.0.CO;2-Q
Holdenrieder, S. et al. Cell-free DNA in serum and plasma: comparison of ELISA and quantitative PCR. Clin. Chem. 51, 1544–1546 (2005).
pubmed: 16040855 doi: 10.1373/clinchem.2005.049320
Rumore, P. M. & Steinman, C. R. Endogenous circulating DNA in systemic lupus erythematosus. Occurrence as multimeric complexes bound to histone. J. Clin. Invest. 86, 69–74 (1990).
pubmed: 2365827 pmcid: 296691 doi: 10.1172/JCI114716
Gezer, U. et al. Characterization of H3K9me3- and H4K20me3-associated circulating nucleosomal DNA by high-throughput sequencing in colorectal cancer. Tumour Biol. 34, 329–336 (2013).
pubmed: 23086575 doi: 10.1007/s13277-012-0554-5
Bauden, M. et al. Circulating nucleosomes as epigenetic biomarkers in pancreatic cancer. Clin. Epigenetics 7, 106 (2015).
pubmed: 26451166 pmcid: 4597435 doi: 10.1186/s13148-015-0139-4
Deligezer, U. et al. H3K9me3/H4K20me3 ratio in circulating nucleosomes as potential biomarker for colorectal cancer. Circulating Nucleic Acids in Plasma and Serum 97–103 (Springer, 2011).
Ulz, P. et al. Inferring expressed genes by whole-genome sequencing of plasma DNA. Nat. Genet. 48, 1273–1278 (2016).
pubmed: 27571261 doi: 10.1038/ng.3648
Snyder, M. W., Kircher, M., Hill, A. J., Daza, R. M. & Shendure, J. Cell-free DNA comprises an in vivo nucleosome footprint that informs its tissues-of-origin. Cell 164, 57–68 (2016).
pubmed: 26771485 pmcid: 4715266 doi: 10.1016/j.cell.2015.11.050
Xu, R.-H. et al. Circulating tumour DNA methylation markers for diagnosis and prognosis of hepatocellular carcinoma. Nat. Mater. 16, 1155–1161 (2017).
pubmed: 29035356 doi: 10.1038/nmat4997
Haller, N., Tug, S., Breitbach, S., Jörgensen, A. & Simon, P. Increases in circulating cell-free DNA during aerobic running depend on intensity and duration. Int. J. Sports Physiol. Perform. 12, 455–462 (2017).
pubmed: 27617389 doi: 10.1123/ijspp.2015-0540
Ramachandran, S., Ahmad, K. & Henikoff, S. Transcription and remodeling produce asymmetrically unwrapped nucleosomal intermediates. Mol. Cell 68, 1038–1053 (2017).
pubmed: 29225036 pmcid: 6421108 doi: 10.1016/j.molcel.2017.11.015
Zemmour, H. et al. Non-invasive detection of human cardiomyocyte death using methylation patterns of circulating DNA. Nat. Commun. 9, 1443 (2018).
pubmed: 29691397 pmcid: 5915384 doi: 10.1038/s41467-018-03961-y
Li, W. et al. CancerDetector: ultrasensitive and non-invasive cancer detection at the resolution of individual reads using cell-free DNA methylation sequencing data. Nucleic Acids Res. 46, e89 (2018).
pubmed: 29897492 pmcid: 6125664 doi: 10.1093/nar/gky423
Shen, S. Y. et al. Sensitive tumour detection and classification using plasma cell-free DNA methylomes. Nature 563, 579–583 (2018).
pubmed: 30429608 doi: 10.1038/s41586-018-0703-0
Lehmann-Werman, R. et al. Monitoring liver damage using hepatocyte-specific methylation markers in cell-free circulating DNA. JCI Insight 3, e120687 (2018).
pmcid: 6124429 doi: 10.1172/jci.insight.120687
Cristiano, S. et al. Genome-wide cell-free DNA fragmentation in patients with cancer. Nature 570, 385–389 (2019).
Gutin, J. et al. Fine-resolution mapping of TF binding and chromatin interactions. Cell Rep. 22, 2797–2807 (2018).
pubmed: 29514105 pmcid: 5863041 doi: 10.1016/j.celrep.2018.02.052
Singh, S. S. et al. Widespread suppression of intragenic transcription initiation by H-NS. Genes Dev. 28, 214–219 (2014).
pubmed: 24449106 pmcid: 3923964 doi: 10.1101/gad.234336.113
Rhee, H. S. & Pugh, B. F. Comprehensive genome-wide protein–DNA interactions detected at single-nucleotide resolution. Cell 147, 1408–1419 (2011).
pubmed: 22153082 pmcid: 3243364 doi: 10.1016/j.cell.2011.11.013
Mizuta, R. et al. DNase γ is the effector endonuclease for internucleosomal DNA fragmentation in necrosis. PLoS ONE 8, e80223 (2013).
pubmed: 24312463 pmcid: 3846476 doi: 10.1371/journal.pone.0080223
Ozawa, T. et al. CCAT1 and CCAT2 long noncoding RNAs, located within the 8q.24.21 ‘gene desert’, serve as important prognostic biomarkers in colorectal cancer. Ann. Oncol. 28, 1882–1888 (2017).
pubmed: 28838211 pmcid: 5834045 doi: 10.1093/annonc/mdx248
Tan, D. S. W. et al. Long noncoding RNA EGFR-AS1 mediates epidermal growth factor receptor addiction and modulates treatment response in squamous cell carcinoma. Nat. Med. 23, 1167–1175 (2017).
pubmed: 28920960 doi: 10.1038/nm.4401
GTEx Consortium. Human genomics. The Genotype-Tissue Expression (GTEx) pilot analysis: multitissue gene regulation in humans. Science 348, 648–660 (2015).
pmcid: 4547484 doi: 10.1126/science.1262110
Cancer Genome Atlas Research Networket al. The Cancer Genome Atlas Pan-Cancer analysis project. Nat. Genet. 45, 1113–1120 (2013).
pmcid: 3919969 doi: 10.1038/ng.2764
Karlić, R., Chung, H.-R., Lasserre, J., Vlahovicek, K. & Vingron, M. Histone modification levels are predictive for gene expression. Proc. Natl Acad. Sci. USA 107, 2926–2931 (2010).
pubmed: 20133639 pmcid: 2814872 doi: 10.1073/pnas.0909344107
Liu, C. L. et al. Single-nucleosome mapping of histone modifications in S. cerevisiae. PLoS Biol. 3, e328 (2005).
pubmed: 16122352 pmcid: 1195719 doi: 10.1371/journal.pbio.0030328
Swarup, V. & Rajeswari, M. R. Circulating (cell‐free) nucleic acids—a promising, non‐invasive tool for early detection of several human diseases. FEBS Lett. 581, 795–799 (2007).
pubmed: 17289032 doi: 10.1016/j.febslet.2007.01.051
Leon, S. A., Shapiro, B., Sklaroff, D. M. & Yaros, M. J. Free DNA in the serum of cancer patients and the effect of therapy. Cancer Res. 37, 646–650 (1977).
pubmed: 837366
Lam, W. K. J. et al. DNA of erythroid origin is present in human plasma and informs the types of anemia. Clin. Chem. 63, 1614–1623 (2017).
pubmed: 28784691 doi: 10.1373/clinchem.2017.272401
Deutsch, V. R. & Tomer, A. Megakaryocyte development and platelet production. Br. J. Haematol. 134, 453–466 (2006).
pubmed: 16856888 doi: 10.1111/j.1365-2141.2006.06215.x
Stunnenberg, H. G., International Human Epigenome Consortium & Hirst, M. The International Human Epigenome Consortium: A Blueprint for Scientific Collaboration and Discovery. Cell 167, 1897 (2016).
Giannini, E. G., Testa, R. & Savarino, V. Liver enzyme alteration: a guide for clinicians. CMAJ 172, 367–379 (2005).
pubmed: 15684121 pmcid: 545762 doi: 10.1503/cmaj.1040752
Liberzon, A. et al. The Molecular Signatures Database (MSigDB) hallmark gene set collection. Cell Syst. 1, 417–425 (2015).
pubmed: 26771021 pmcid: 4707969 doi: 10.1016/j.cels.2015.12.004
Drew, K. et al. Integration of over 9,000 mass spectrometry experiments builds a global map of human protein complexes. Mol. Syst. Biol. 13, 932 (2017).
pubmed: 28596423 pmcid: 5488662 doi: 10.15252/msb.20167490
Giurgiu, M. et al. CORUM: the comprehensive resource of mammalian protein complexes-2019. Nucleic Acids Res. 47, D559–D563 (2019).
pubmed: 30357367 doi: 10.1093/nar/gky973
Kamburov, A., Stelzl, U., Lehrach, H. & Herwig, R. The ConsensusPathDB interaction database: 2013 update. Nucleic Acids Res. 41, D793–D800 (2013).
pubmed: 23143270 doi: 10.1093/nar/gks1055
King, K. R. et al. IRF3 and type I interferons fuel a fatal response to myocardial infarction. Nat. Med. 23, 1481–1487 (2017).
pubmed: 29106401 pmcid: 6477926 doi: 10.1038/nm.4428
Czaja, A. J. Chemokines as orchestrators of autoimmune hepatitis and potential therapeutic targets. Aliment. Pharmacol. Ther. 40, 261–279 (2014).
pubmed: 24890045 doi: 10.1111/apt.12825
Mercer, F. & Unutmaz, D. The biology of FoxP3: a key player in immune suppression during infections, autoimmune diseases and cancer. Adv. Exp. Med. Biol. 665, 47–59 (2009).
pubmed: 20429415 pmcid: 3732823 doi: 10.1007/978-1-4419-1599-3_4
Lachmann, A. et al. Massive mining of publicly available RNA-seq data from human and mouse. Nat. Commun. 9, 1366 (2018).
pubmed: 29636450 pmcid: 5893633 doi: 10.1038/s41467-018-03751-6
Aizarani, N. et al. A human liver cell atlas reveals heterogeneity and epithelial progenitors. Nature 572, 199–204 (2019).
pubmed: 31292543 pmcid: 6687507 doi: 10.1038/s41586-019-1373-2
Jungermann, K. & Katz, N. Functional specialization of different hepatocyte populations. Physiol. Rev. 69, 708–764 (1989).
pubmed: 2664826 doi: 10.1152/physrev.1989.69.3.708
Reinert, T. et al. Analysis of circulating tumour DNA to monitor disease burden following colorectal cancer surgery. Gut 65, 625–634 (2016).
pubmed: 25654990 doi: 10.1136/gutjnl-2014-308859
Tannapfel, A. & Reinacher-Schick, A. Chemotherapy associated hepatotoxicity in the treatment of advanced colorectal cancer (CRC). Z. Gastroenterol. 46, 435–440 (2008).
pubmed: 18461519 doi: 10.1055/s-2008-1027151
Bradner, J. E., Hnisz, D. & Young, R. A. Transcriptional addiction in cancer. Cell 168, 629–643 (2017).
pubmed: 28187285 pmcid: 5308559 doi: 10.1016/j.cell.2016.12.013
Hanahan, D. & Weinberg, R. A. Hallmarks of cancer: the next generation. Cell 144, 646–674 (2011).
pubmed: 21376230 doi: 10.1016/j.cell.2011.02.013
Nissan, A. et al. Colon cancer associated transcript-1: a novel RNA expressed in malignant and pre-malignant human tissues. Int. J. Cancer 130, 1598–1606 (2012).
pubmed: 21547902 doi: 10.1002/ijc.26170
Coulson, J. M. Transcriptional regulation: cancer, neurons and the REST. Curr. Biol. 15, R665–R668 (2005).
pubmed: 16139198 doi: 10.1016/j.cub.2005.08.032
Rademakers, G. et al. The role of enteric neurons in the development and progression of colorectal cancer. Biochim. Biophys. Acta Rev. Cancer 1868, 420–434 (2017).
pubmed: 28847715 doi: 10.1016/j.bbcan.2017.08.003
Guinney, J. et al. The consensus molecular subtypes of colorectal cancer. Nat. Med. 21, 1350–1356 (2015).
pubmed: 26457759 pmcid: 4636487 doi: 10.1038/nm.3967
Koppens, M. A. J. et al. Large variety in a panel of human colon cancer organoids in response to EZH2 inhibition. Oncotarget 7, 69816–69828 (2016).
pubmed: 27634879 pmcid: 5342517 doi: 10.18632/oncotarget.12002
Cancer Genome Atlas Network. Comprehensive molecular characterization of human colon and rectal cancer. Nature 487, 330–337 (2012).
doi: 10.1038/nature11252
Ferrari, A. et al. A whole-genome sequence and transcriptome perspective on HER2-positive breast cancers. Nat. Commun. 7, 12222 (2016).
pubmed: 27406316 pmcid: 4947184 doi: 10.1038/ncomms12222
Sartore-Bianchi, A. et al. Dual-targeted therapy with trastuzumab and lapatinib in treatment-refractory, KRAS codon 12/13 wild-type, HER2-positive metastatic colorectal cancer (HERACLES): a proof-of-concept, multicentre, open-label, phase 2 trial. Lancet Oncol. 17, 738–746 (2016).
pubmed: 27108243 doi: 10.1016/S1470-2045(16)00150-9
Ulz, P. et al. Inference of transcription factor binding from cell-free DNA enables tumor subtype prediction and early detection. Nat. Commun. 10, 4666 (2019).
pubmed: 31604930 pmcid: 6789008 doi: 10.1038/s41467-019-12714-4
Schoenfelder, S. & Fraser, P. Long-range enhancer–promoter contacts in gene expression control. Nat. Rev. Genet. 20, 437–455 (2019).
Shen-Orr, S. S. & Gaujoux, R. Computational deconvolution: extracting cell type-specific information from heterogeneous samples. Curr. Opin. Immunol. 25, 571–578 (2013).
pubmed: 24148234 doi: 10.1016/j.coi.2013.09.015
ENCODE Project Consortium. An integrated encyclopedia of DNA elements in the human genome. Nature 489, 57–74 (2012).
doi: 10.1038/nature11247
Matys, V. et al. TRANSFAC® and its module TRANSCompel®: transcriptional gene regulation in eukaryotes. Nucleic Acids Res. 34, D108–D110 (2006).
pubmed: 16381825 doi: 10.1093/nar/gkj143
Lachmann, A. et al. ChEA: transcription factor regulation inferred from integrating genome-wide ChIP-X experiments. Bioinformatics 26, 2438–2444 (2010).
pubmed: 20709693 pmcid: 2944209 doi: 10.1093/bioinformatics/btq466
Kuleshov, M. V. et al. Enrichr: a comprehensive gene set enrichment analysis web server 2016 update. Nucleic Acids Res. 44, W90–W97 (2016).
pubmed: 27141961 pmcid: 4987924 doi: 10.1093/nar/gkw377
Vivian, J. et al. Toil enables reproducible, open source, big biomedical data analyses. Nat. Biotechnol. 35, 314–316 (2017).
pubmed: 28398314 pmcid: 5546205 doi: 10.1038/nbt.3772
Rouillard, A. D. et al. The harmonizome: a collection of processed datasets gathered to serve and mine knowledge about genes and proteins. Database 2016, baw100 (2016).
pubmed: 27374120 pmcid: 4930834 doi: 10.1093/database/baw100

Auteurs

Ronen Sadeh (R)

The Rachel and Selim Benin School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel.
The Alexander Silberman Institute of Life Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel.

Israa Sharkia (I)

The Rachel and Selim Benin School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel.
The Alexander Silberman Institute of Life Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel.

Gavriel Fialkoff (G)

The Rachel and Selim Benin School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel.
The Alexander Silberman Institute of Life Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel.

Ayelet Rahat (A)

The Alexander Silberman Institute of Life Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel.

Jenia Gutin (J)

The Rachel and Selim Benin School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel.
The Alexander Silberman Institute of Life Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel.

Alon Chappleboim (A)

The Rachel and Selim Benin School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel.
The Alexander Silberman Institute of Life Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel.

Mor Nitzan (M)

The Rachel and Selim Benin School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel.

Ilana Fox-Fisher (I)

Institute for Medical Research Israel-Canada, The Hebrew University-Hadassah Medical School, Jerusalem, Israel.

Daniel Neiman (D)

Institute for Medical Research Israel-Canada, The Hebrew University-Hadassah Medical School, Jerusalem, Israel.

Guy Meler (G)

The Rachel and Selim Benin School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel.

Zahala Kamari (Z)

The Rachel and Selim Benin School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel.
The Alexander Silberman Institute of Life Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel.

Dayana Yaish (D)

The Goldyne Savad Institute for Gene Therapy, Hadassah-Hebrew University Medical Center, Jerusalem, Israel.

Tamar Peretz (T)

Sharett Institute of Oncology, Hadassah-Hebrew University Medical Center, Jerusalem, Israel.

Ayala Hubert (A)

Sharett Institute of Oncology, Hadassah-Hebrew University Medical Center, Jerusalem, Israel.

Jonathan E Cohen (JE)

Sharett Institute of Oncology, Hadassah-Hebrew University Medical Center, Jerusalem, Israel.
The Wohl Institute for Translational Medicine, Hadassah-Hebrew University Medical Center, Jerusalem, Israel.

Azzam Salah (A)

Sharett Institute of Oncology, Hadassah-Hebrew University Medical Center, Jerusalem, Israel.

Mark Temper (M)

Sharett Institute of Oncology, Hadassah-Hebrew University Medical Center, Jerusalem, Israel.

Albert Grinshpun (A)

Sharett Institute of Oncology, Hadassah-Hebrew University Medical Center, Jerusalem, Israel.

Myriam Maoz (M)

Sharett Institute of Oncology, Hadassah-Hebrew University Medical Center, Jerusalem, Israel.

Samir Abu-Gazala (S)

Department of Surgery, Hadassah-Hebrew University Medical Center, Jerusalem, Israel.

Ami Ben Ya'acov (A)

The Juliet Keidan Institute of Pediatric Gastroenterology Institute, Shaare Zedek Medical Center, Jerusalem, Israel.

Eyal Shteyer (E)

The Juliet Keidan Institute of Pediatric Gastroenterology Institute, Shaare Zedek Medical Center, Jerusalem, Israel.

Rifaat Safadi (R)

The Liver Unit, Institute of Gastroenterology and Liver Diseases, Hadassah-Hebrew University Medical Center, Jerusalem, Israel.

Tommy Kaplan (T)

The Rachel and Selim Benin School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel.

Ruth Shemer (R)

Institute for Medical Research Israel-Canada, The Hebrew University-Hadassah Medical School, Jerusalem, Israel.

David Planer (D)

Department of Cardiology, Hadassah-Hebrew University Medical Center, Jerusalem, Israel.

Eithan Galun (E)

The Goldyne Savad Institute for Gene Therapy, Hadassah-Hebrew University Medical Center, Jerusalem, Israel.

Benjamin Glaser (B)

Dept of Endocrinology and Metabolism Service, Hadassah-Hebrew University Medical Center, Jerusalem, Israel.

Aviad Zick (A)

Sharett Institute of Oncology, Hadassah-Hebrew University Medical Center, Jerusalem, Israel.

Yuval Dor (Y)

Institute for Medical Research Israel-Canada, The Hebrew University-Hadassah Medical School, Jerusalem, Israel.

Nir Friedman (N)

The Rachel and Selim Benin School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel. nir.friedman@mail.huji.ac.il.
The Alexander Silberman Institute of Life Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel. nir.friedman@mail.huji.ac.il.

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