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ZENODO
Dataset . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
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Chemical perturbations impacting histone acetylation regulate colorectal cancer differentiation

Authors: Li, Zhixin;

Chemical perturbations impacting histone acetylation regulate colorectal cancer differentiation

Abstract

Histone acetylation governs broad gene expression programs in normal tissue and disease states. By applying a small chemical compound library targeting epigenetic regulators to a dual endogenous reporter system, we found that inhibiting histone deacetylase (HDAC) 1/2 initiates colorectal cancer (CRC) differentiation. Inhibiting the enzymatic pocket of HDAC1/2 induced differentiation and reduced proliferation across in vitro and in vivo models. On-target HDAC1/2 inhibition was validated using biochemical, chemical, and genetic approaches. A survey of histone posttranslational modifications from HDAC1/2 selective inhibition nominated acetylation of specific H3 and H4 lysine (K) residues as potential regulators of differentiation. Genome-wide profiles of these histone acetylation marks indicated that gains in histone 3 lysine 27 acetylation (H3K27ac) most strongly correlated to opening of chromatin and upregulation of genes associated with differentiation upon HDAC1/2 inhibition. Blocking acetylation of H3K27 by degrading its writer EP300 rescued the differentiation phenotype induced by HDAC1/2 inhibition in a patient-derived CRC model by single cell RNA-sequencing among other readouts. These results highlight the importance of specific chemically targetable histone modifications in governing cancer cell states and implicate precision targeting of H3K27ac as a potential therapeutic approach for CRC.

M60.count.Rdata: Rdata that includes the raw count, scaled CPM value and meta data of each sample. (Fig. 1 & 4) DAP.merged.Log2FC.csv: integrated DiffBind results that shows the log2FC and P-value/FDR of peaks. (Fig. 1 & 4) rawdata_scRNA-seq.zip: raw count data of scRNA-seq data from cellranger (labels: A: DMSO, B: MRK60, D: MRK60 + JQAD1). (Fig. 5)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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Cancer Research