GEO series

CUT&Tag analysis of HDAC1 binding profile with or without PKA inhibitor H89 treatment

GSE285017 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 3 samples Submitted 2025/03/12 Platform GPL20301

At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 3 samples

What it is: ChIP-seq / ATAC-seq (genome binding and open chromatin)Where proteins bind the genome, or which regions are open and active.
Organism: Homo sapiens (human)
Samples: 3 samples
Data you can get: A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
Paper: PKA plays a conserved role in regulating gene expression and metabolic adaptation by phosphorylating Rpd3/HDAC1Nature communications · 2025

Summary (written by the submitters)

Cells need to reprogram their metabolism to adapt to extracellular nutrient changes. The histone acetyltransferase SAGA (Spt-Ada-Gcn5-acetyltransferase) complex has been reported to acetylate its subunit Ada3 and form homo-dimers to enhance its ability to acetylate nucleosomes and facilitate metabolic gene transcription. How cells transduce extracellular nutrient changes to SAGA structure and function changes remains unclear.

Read the full summary ↓

Here, we found that SAGA is deacetylated by Rpd3L complex and uncovered how its deacetylase activity is repressed by nutrient sensor protein kinase A (PKA). When sucrose is used as the sole carbon source, PKA catalytic subunit Tpk2 is activated, which phosphorylates Rpd3L catalytic subunit Rpd3 at serine 50 and serine 354 to inhibit its ability to deacetylate Ada3. Moreover, Tpk2 phosphorylates Rpd3L subunit Ash1 at serine 149 and serine 388, which specifically reduces the interaction between Rpd3L and SAGA. By phosphorylating both Rpd3 and Ash1, Tpk2 inhibits Rpd3L-mediated Ada3 deacetylation, which promotes SAGA dimerization, nucleosome acetylation and transcription of genes involved in sucrose utilization and tricarboxylate (TCA) cycle, resulting in metabolic shift from glycolysis to TCA cycle. Most importantly, PKA phosphorylates HDAC1, the Rpd3 homolog in mammals to repress its deacetylase activity and promote TCA cycle gene transcription. Blocking PKA-catalyzed HDAC1 phosphorylation reduced TCA cycle and impaired cell growth. Our work hence reveals a conserved role of PKA in regulating Rpd3/HDAC1 and metabolism adaptation and provides a potential target for future cancer treatment.

Published in

PKA plays a conserved role in regulating gene expression and metabolic adaptation by phosphorylating Rpd3/HDAC1

Dai W, Yu Q, Ma R et al. · Nature communications 2025 · PMID 40301306 · doi:10.1038/s41467-025-59064-y

This dataset

Open GSE285017 in finder → Find more human ChIP / ATAC / CUT&Tag datasets →

Download · which file do I need?

Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.

1 · Just have a look

Processed table

The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.

Series matrix ↓

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE285017_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓

3 · Start from the raw reads

Raw sequencing reads

The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.

Raw reads on ENA ↗

What the files usually look like: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.

Also filed as BioProject PRJNA1200812 and SRA study SRP552835. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40301306) ↗

Samples in this study

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+ 3 more — browse all 3 samples with per-sample file links →

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