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Generation and Profiling of 2,135 Human ESC Lines for the Systematic Analyses of Cell States Perturbed by Inducing Single Transcription Factors
- Source :
- Cell Reports, Vol 31, Iss 7, Pp-(2020)
- Publication Year :
- 2020
- Publisher :
- Elsevier BV, 2020.
-
Abstract
- Summary Transcription factors (TFs) play a pivotal role in determining cell states, yet our understanding of the causative relationship between TFs and cell states is limited. Here, we systematically examine the state changes of human pluripotent embryonic stem cells (hESCs) by the large-scale manipulation of single TFs. We establish 2,135 hESC lines, representing three clones each of 714 doxycycline (Dox)-inducible genes including 481 TFs, and obtain 26,998 microscopic cell images and 2,174 transcriptome datasets—RNA sequencing (RNA-seq) or microarrays—48 h after the presence or absence of Dox. Interestingly, the expression of essentially all the genes, including genes located in heterochromatin regions, are perturbed by these TFs. TFs are also characterized by their ability to induce differentiation of hESCs into specific cell lineages. These analyses help to provide a way of classifying TFs and identifying specific sets of TFs for directing hESC differentiation into desired cell types.
- Subjects :
- 0301 basic medicine
Cell type
Heterochromatin
Cellular differentiation
genetic processes
Cell
Computational biology
Biology
General Biochemistry, Genetics and Molecular Biology
Cell Line
conditional induction
Transcriptome
03 medical and health sciences
0302 clinical medicine
transcription factors
medicine
Humans
natural sciences
lcsh:QH301-705.5
Transcription factor
Gene
fungi
human embryonic stem cells
Embryonic stem cell
cell differentiation
030104 developmental biology
medicine.anatomical_structure
lcsh:Biology (General)
Single-Cell Analysis
transcriptome
030217 neurology & neurosurgery
Subjects
Details
- ISSN :
- 22111247
- Volume :
- 31
- Database :
- OpenAIRE
- Journal :
- Cell Reports
- Accession number :
- edsair.doi.dedup.....373c88d4f9d0e8f8a7d0f3ef211f7b8c
- Full Text :
- https://doi.org/10.1016/j.celrep.2020.107655