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FOXA2 controls the cis-regulatory networks of pancreatic cancer cells in a differentiation grade-specific manner.


ABSTRACT: Differentiation of normal and tumor cells is controlled by regulatory networks enforced by lineage-determining transcription factors (TFs). Among them, TFs such as FOXA1/2 bind naïve chromatin and induce its accessibility, thus establishing new gene regulatory networks. Pancreatic ductal adenocarcinoma (PDAC) is characterized by the coexistence of well- and poorly differentiated cells at all stages of disease. How the transcriptional networks determining such massive cellular heterogeneity are established remains to be determined. We found that FOXA2, a TF controlling pancreas specification, broadly contributed to the cis-regulatory networks of PDACs. Despite being expressed in both well- and poorly differentiated PDAC cells, FOXA2 displayed extensively different genomic distributions and controlled distinct gene expression programs. Grade-specific functions of FOXA2 depended on its partnership with TFs whose expression varied depending on the differentiation grade. These data suggest that FOXA2 contributes to the regulatory networks of heterogeneous PDAC cells via interactions with alternative partner TFs.

SUBMITTER: Milan M 

PROVIDER: S-EPMC6792020 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature

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FOXA2 controls the cis-regulatory networks of pancreatic cancer cells in a differentiation grade-specific manner.

Milan Marta M   Balestrieri Chiara C   Alfarano Gabriele G   Polletti Sara S   Prosperini Elena E   Spaggiari Paola P   Zerbi Alessandro A   Diaferia Giuseppe R GR   Natoli Gioacchino G  

The EMBO journal 20190917 20


Differentiation of normal and tumor cells is controlled by regulatory networks enforced by lineage-determining transcription factors (TFs). Among them, TFs such as FOXA1/2 bind naïve chromatin and induce its accessibility, thus establishing new gene regulatory networks. Pancreatic ductal adenocarcinoma (PDAC) is characterized by the coexistence of well- and poorly differentiated cells at all stages of disease. How the transcriptional networks determining such massive cellular heterogeneity are e  ...[more]

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