Dynamic nucleosome landscape elicits a noncanonical GATA2 pioneer model
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2022-12
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<jats:title>Abstract</jats:title><jats:p>Knowledge gaps remain on how nucleosome organization and dynamic reorganization are governed by specific pioneer factors in a genome-wide manner. In this study, we generate over three billons of multi-omics sequencing data to exploit dynamic nucleosome landscape governed by pioneer factors (PFs), FOXA1 and GATA2. We quantitatively define nine functional nucleosome states each with specific characteristic nucleosome footprints in LNCaP prostate cancer cells. Interestingly, we observe dynamic switches among nucleosome states upon androgen stimulation, accompanied by distinct differential (gained or lost) binding of FOXA1, GATA2, H1 as well as many other coregulators. Intriguingly, we reveal a noncanonical pioneer model of GATA2 that it initially functions as a PF binding at the edge of a nucleosome in an inaccessible crowding array. Upon androgen stimulation, GATA2 re-configures an inaccessible to accessible nucleosome state and subsequently acts as a master transcription factor either directly or recruits signaling specific transcription factors to enhance WNT signaling in an androgen receptor (AR)-independent manner. Our data elicit a pioneer and master dual role of GATA2 in mediating nucleosome dynamics and enhancing downstream signaling pathways. Our work offers structural and mechanistic insight into the dynamics of pioneer factors governing nucleosome reorganization.</jats:p>
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Li, Tianbao, Qi Liu, Zhong Chen, Kun Fang, Furong Huang, Xueqi Fu, Qianben Wang, Victor X Jin, et al. (2022). Dynamic nucleosome landscape elicits a noncanonical GATA2 pioneer model. Nature Communications, 13(1). 10.1038/s41467-022-30960-x Retrieved from https://hdl.handle.net/10161/25107.
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Scholars@Duke

Zhong Chen

Qianben Wang
Dr. Wang's laboratory is primarily focused on understanding the transcriptional and epigenetic mechanisms that drive the progression of hormone-dependent cancers. Additionally, they investigate the role of host proteases in coronavirus infection. Their recent studies aim to combine CRISPR/Cas13 technologies with nanotechnology to target undruggable transcription factors in cancers and host proteases for controlling infections caused by SARS-CoV-2 and related coronaviruses.
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