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Cited by 414

The DOI matches its Crossref record; 152 of the 152 references it cites were found in a registry or an index.

Pioneer Transcription Factors Initiating Gene Network Changes

Open access
Zaret, Kenneth S.·2020·Annual Review of Genetics

Abstract

Pioneer transcription factors have the intrinsic biochemical ability to scan partial DNA sequence motifs that are exposed on the surface of a nucleosome and thus access silent genes that are inaccessible to other transcription factors. Pioneer factors subsequently enable other transcription factors, nucleosome remodeling complexes, and histone modifiers to engage chromatin, thereby initiating the formation of an activating or repressive regulatory sequence. Thus, pioneer factors endow the competence for fate changes in embryonic development, are essential for cellular reprogramming, and rewire gene networks in cancer cells. Recent studies with reconstituted nucleosomes in vitro and chromatin binding in vivo reveal that pioneer factors can directly perturb nucleosome structure and chromatin accessibility in different ways. This review focuses on our current understanding of the mechanisms by which pioneer factors initiate gene network changes and will ultimately contribute to our ability to control cell fates at will.

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Metadata

Authors
Zaret, K. S.
Venue
Annual Review of Genetics
Published
2020-11-23
Volume
54
Issue
1
Pages
367-385
ISSN
  • 0066-4197 (ISSN-L)
  • 1545-2948
OpenAlex
W3083703986
Cited by
414
References
152
FWCI
4.66
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Pioneer Transcription Factors Initiating Gene Network Changes. https://app.cochat.ai/papers/10.1146/annurev-genet-030220-015007
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Zaret, K. S. (2020). Pioneer Transcription Factors Initiating Gene Network Changes. Annual Review of Genetics. https://doi.org/10.1146/annurev-genet-030220-015007

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.