Quantitative analysis of ChIP-seq data uncovers dynamic and sustained H3K4me3 and H3K27me3 modulation in cancer cells under hypoxia.

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第一作者： Michiel E,Adriaens

第一单位： Maastricht Centre for Systems Biology - MaCSBio, Maastricht University, Maastricht, The Netherlands.;Department of Bioinformatics - BiGCaT, Maastricht University, Maastricht, The Netherlands.

作者： Michiel E,Adriaens ^[1] ; Peggy,Prickaerts ^[2] ; Michelle,Chan-Seng-Yue ^[3] ; Twan,van den Beucken ^[4] ; Vivian E H,Dahlmans ^[2] ; Lars M,Eijssen ^[5] ; Timothy,Beck ^[6] ; Bradly G,Wouters ^[4] ; Jan Willem,Voncken ^[2] ; Chris T A,Evelo ^[5]

作者单位： Maastricht Centre for Systems Biology - MaCSBio, Maastricht University, Maastricht, The Netherlands.;Department of Bioinformatics - BiGCaT, Maastricht University, Maastricht, The Netherlands. ^[1] Department of Molecular Genetics, Maastricht University, Maastricht, The Netherlands. ^[2] Departments of Informatics and Bio-computing, University Health Network, Toronto, ON Canada.;Heart Centre Biobank, The Hospital for Sick Children, Toronto, ON Canada. ^[3] Princess Margaret Cancer Centre and Campbell Family Institute for Cancer Research, University Health Network, Toronto, ON Canada.;Department of Radiation Oncology, University of Toronto, Toronto, ON Canada.;Maastricht Radiation Oncology (MaastRO) Laboratory, Maastricht University, Maastricht, The Netherlands. ^[4] Department of Bioinformatics - BiGCaT, Maastricht University, Maastricht, The Netherlands. ^[5] Departments of Informatics and Bio-computing, University Health Network, Toronto, ON Canada.;Human Longevity Inc., San Diego, CA USA. ^[6]

关键词 ChIP-sequencing Data normalization Epigenomics H3K27me3 H3K4me3 Hypoxia MCF7 Transcriptomics