Synthetic and genomic regulatory elements reveal aspects of cis -regulatory grammar in mouse embryonic stem cells

In embryonic stem cells (ESCs), a core transcription factor (TF) network establishes the gene expression program necessary for pluripotency. To address how interactions between four key TFs contribute to regulation in mouse ESCs, we assayed two massively parallel reporter assay (MPRA) libraries comp...

Full description

Saved in:
Bibliographic Details
Published ineLife Vol. 9
Main Authors King, Dana M, Hong, Clarice Kit Yee, Shepherdson, James L, Granas, David M, Maricque, Brett B, Cohen, Barak A
Format Journal Article
LanguageEnglish
Published England eLife Science Publications, Ltd 11.02.2020
eLife Sciences Publications Ltd
eLife Sciences Publications, Ltd
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:In embryonic stem cells (ESCs), a core transcription factor (TF) network establishes the gene expression program necessary for pluripotency. To address how interactions between four key TFs contribute to regulation in mouse ESCs, we assayed two massively parallel reporter assay (MPRA) libraries composed of binding sites for SOX2, POU5F1 (OCT4), KLF4, and ESRRB. Comparisons between synthetic -regulatory elements and genomic sequences with comparable binding site configurations revealed some aspects of a regulatory grammar. The expression of synthetic elements is influenced by both the number and arrangement of binding sites. This grammar plays only a small role for genomic sequences, as the relative activities of genomic sequences are best explained by the predicted occupancy of binding sites, regardless of binding site identity and positioning. Our results suggest that the effects of transcription factor binding sites (TFBS) are influenced by the order and orientation of sites, but that in the genome the overall occupancy of TFs is the primary determinant of activity.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
University of Michigan, Bioinformatics Core, Ann Arbor, United States.
Columbia University, Department of Psychology, New York, United States.
ISSN:2050-084X
2050-084X
DOI:10.7554/elife.41279