Determining Physical Mechanisms of Gene Expression Regulation from Single Cell Gene Expression Data

Article English OPEN
Ezer, Daphne; Moignard, Victoria; Göttgens, Berthold; Adryan, Boris;
  • Publisher: PLOS Computational Biology
  • Journal: volume 12,issue 8issn: 1553-734X, eissn: 1553-7358
  • Publisher copyright policies & self-archiving
  • Related identifiers: pmc: PMC4995004, doi: 10.1371/journal.pcbi.1005072, doi: 10.17863/CAM.4312
  • Subject: Applied Mathematics | Algorithms | Cell Differentiation | Research Article | Mathematics | Simulation and Modeling | Hematopoiesis | Genetics | Physical Sciences | Cellular Types | Stem Cells | Biology and life sciences | RNA | Developmental Biology | Research and Analysis Methods | Animal Cells | Nucleic acids | QH301-705.5 | DNA transcription | Hematology | Cell Biology | Gene Regulation | Messenger RNA | Biochemistry | Medicine and Health Sciences | Hematopoietic Stem Cells | Biology (General) | Gene expression

Many genes are expressed in bursts, which can contribute to cell-to-cell heterogeneity. It is now possible to measure this heterogeneity with high throughput single cell gene expression assays (single cell qPCR and RNA-seq). These experimental approaches generate gene e... View more
Share - Bookmark