Repository logo
Log in(current)
Repository logoMIT Open ScholarshipDSpace@MIT
  1. Home
  2. MIT Open Access Articles
  3. MIT Open Access Articles
  4. A Systematic Approach to Identify Candidate Transcription Factors that Control Cell Identity

A Systematic Approach to Identify Candidate Transcription Factors that Control Cell Identity

Thumbnail Image
Download
Name

D'Alessio-2015-A Systematic Approac.pdf

Size

5.07 MB

Format

Adobe PDF

Checksum (MD5)

3c69bac3c560d21d35f2ea2b27b2c377

Author(s)
D’Alessio, Ana C.
•
Fan, Zi Peng
•
Wert, Katherine J.
•
Baranov, Petr
•
Cohen, Malkiel A.
•
Saini, Janmeet S.
•
Cohick, Evan
•
Charniga, Carol
•
Hannett, Nancy M.
•
Young, Michael J.
more
Date Issued
October 2015
Journal
Stem Cell Reports
Publisher
Elsevier
Citation
D’Alessio, Ana C., Zi Peng Fan, Katherine J. Wert, Petr Baranov, Malkiel A. Cohen, Janmeet S. Saini, Evan Cohick, et al. “A Systematic Approach to Identify Candidate Transcription Factors That Control Cell Identity.” Stem Cell Reports 5, no. 5 (November 2015): 763–775.
Version
Final published version
Abstract
Hundreds of transcription factors (TFs) are expressed in each cell type, but cell identity can be induced through the activity of just a small number of core TFs. Systematic identification of these core TFs for a wide variety of cell types is currently lacking and would establish a foundation for understanding the transcriptional control of cell identity in development, disease, and cell-based therapy. Here, we describe a computational approach that generates an atlas of candidate core TFs for a broad spectrum of human cells. The potential impact of the atlas was demonstrated via cellular reprogramming efforts where candidate core TFs proved capable of converting human fibroblasts to retinal pigment epithelial-like cells. These results suggest that candidate core TFs from the atlas will prove a useful starting point for studying transcriptional control of cell identity and reprogramming in many human cell types.
MIT Department
Massachusetts Institute of Technology. Department of Biology
Whitehead Institute for Biomedical Research
Terms of Use
Creative Commons Attribution
http://creativecommons.org/licenses/by-nc-nd/4.0/
Persistent DSpace Link
http://hdl.handle.net/1721.1/100808
DOI of Published Version
https://doi.org/10.1016/j.stemcr.2015.09.016
Repository logo
PrivacyPermissionsAccessibilityContact us
Repository logo
Notify us about copyright concerns.