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Embryonic stem cell-based mapping of developmental transcriptional programs

Authors :
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology. Department of Biology
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Whitehead Institute for Biomedical Research
Mahony, Shaun
Whyte, Warren Anthony
Young, Richard A.
Gifford, David K.
Mazzoni, Esteban O.
Iacovino, Michelina
Morrison, Carolyn A.
Mountoufaris, George
Closser, Michael
Kyba, Michael
Wichterle, Hynek
Gifford, David K
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology. Department of Biology
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Whitehead Institute for Biomedical Research
Mahony, Shaun
Whyte, Warren Anthony
Young, Richard A.
Gifford, David K.
Mazzoni, Esteban O.
Iacovino, Michelina
Morrison, Carolyn A.
Mountoufaris, George
Closser, Michael
Kyba, Michael
Wichterle, Hynek
Gifford, David K
Source :
PubMed Central
Publication Year :
2012

Abstract

The study of developmentally regulated transcription factors by chromatin immunoprecipitation and deep sequencing (ChIP-seq) faces two major obstacles: availability of ChIP-grade antibodies and access to sufficient number of cells. We describe versatile genome-wide analysis of transcription-factor binding sites by combining directed differentiation of embryonic stem cells and inducible expression of tagged proteins. We demonstrate its utility by mapping DNA-binding sites of transcription factors involved in motor neuron specification.<br />National Institutes of Health (U.S.) (Grant number P01 NS055923)

Details

Database :
OAIster
Journal :
PubMed Central
Notes :
application/pdf, en_US
Publication Type :
Electronic Resource
Accession number :
edsoai.on1141892155
Document Type :
Electronic Resource