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Updated: May 21, 2026

An Acetyl-Click Chemistry Assay to Measure Histone Acetyltransferase 1 Acetylation
Published on: January 26, 2024
Expression noise and acetylation profiles distinguish HDAC functions
Leehee Weinberger1, Yoav Voichek, Itay Tirosh
1Department of Molecular Genetics, Weizmann Institute of Science, Rehovot, Israel.
Gene expression noise in S. cerevisiae is modulated by chromatin factors. Histone deacetylase complexes Rpd3(L)C and Set3C, along with H2B monoubiquitination, distinctly regulate transcriptional burst frequency and size, impacting gene regulation.
Area of Science:
- Molecular Biology
- Epigenetics
- Systems Biology
Background:
- Gene expression exhibits significant cell-to-cell variation, known as noise.
- This noise is influenced by the chromatin environment and gene expression regulatory processes.
Purpose of the Study:
- To identify chromatin factors that modulate gene expression noise in S. cerevisiae.
- To elucidate the regulatory mechanisms underlying noise modulation using a theoretical model.
Main Methods:
- Screening of chromatin factors affecting gene expression noise in S. cerevisiae.
- Analysis using a theoretical model correlating noise with mean expression.
- Mapping of H3K9ac upon deletion of histone deacetylase complex subunits and ubH2B effectors.
Main Results:
- Distinct roles for Rpd3(L) and Set3 histone deacetylase complexes in regulating gene expression noise were predicted.
- Both complexes repressed gene expression, but Rpd3(L)C reduced transcriptional burst frequency, while Set3C reduced burst size.
- H2B monoubiquitination (ubH2B) also decreased burst size.
- ubH2B and Set3C function in a common pathway affecting PolII processivity, whereas Rpd3(L)C acts earlier in the regulatory pathway.
Conclusions:
- Chromatin factors, specifically histone deacetylase complexes and H2B monoubiquitination, play distinct roles in controlling gene expression noise.
- Rpd3(L)C and Set3C differentially regulate transcriptional burst dynamics, impacting gene expression levels and variability.
- Understanding these mechanisms provides insights into the regulation of gene expression and cellular heterogeneity.
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