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INO80/SWR Remodelers Regulate Pol II Transcription through BRD2 and Chromatin Landscape (TT-seq)

GSE281122 Mus musculus (mouse) Other 16 samples Submitted 2025/09/01 Platform GPL24247
At a glance

mouse · 16 samples

Organism
Mus musculus (mouse)
Samples
16 samples: 8 conditions, mostly in duplicateGroups are read from the sample names, not from the paper. Check the list below.
Data you can get
A processed table (series matrix) and supplementary files from NCBI.
Paper
INO80/SWR remodelers regulate Pol II transcription through BRD2 and chromatin landscapeNucleic acids research · 2025
Summary (written by the submitters)
INO80/SWR remodelers, including INO80, P400/TIP60, and SRCAP, have been viewed to regulate H2A.Z dynamics, but how they control specific gene expression remains unclear. Here, we reveal distinct phenotypes arising from short- and long-term perturbations following the depletion of INO80/SWR remodelers. We identified the direct target genes of INO80, P400, and SRCAP remodelers.
Read the full summary ↓
Mechanistically, we found that INO80/SWR remodelers interact and facilitate the chromatin occupancy of the H2A.Zac reader protein BRD2, which is crucial for Pol II initiation through TFIID. Additionally, while the degradation of P400 or SRCAP led to a reduction in H2A.Zac, INO80 depletion did not affect H2A.Zac occupancy but decreased the occupancy of P400 and SRCAP. Collectively, our findings suggest that INO80/SWR remodelers primarily regulate the chromatin landscape and influences BRD2 chromatin binding, thereby shedding light on their mechanisms in Pol II transcription regulation during development and disease.
Published in
INO80/SWR remodelers regulate Pol II transcription through BRD2 and chromatin landscape
Liu M, Xu Q, Wang H et al. · Nucleic acids research 2025 · PMID 40966518 · doi:10.1093/nar/gkaf892
This dataset
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Download · which file do I need?

Direct links to NCBI, 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.

All supplementary files ↗
3 · The original raw files

Whole study · RAW.tar

Everything the authors deposited as one archive (GSE281122_RAW.tar), including the raw array or instrument files. Can be large; the picker in step 2 takes just the samples you need.

Whole study · RAW.tar ↓

Also filed as BioProject PRJNA1182337. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40966518) ↗
Study design
8 conditions, mostly in duplicate
TT-seq_INO80_degron_0h ×2 TT-seq_INO80_degron_1h ×2 TT-seq_P400_degron_0h ×2 TT-seq_P400_degron_1h ×2 TT-seq_SRCAP_degron_0h ×2 TT-seq_SRCAP_degron_1h ×2 TT-seq_BRD2_degron_0h ×2 TT-seq_BRD2_degron_1h ×2

Supports a between-group comparison across 16 samples.

How we read this: 8 replicated groups read from 16 sample titles; they account for 16 of them. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.

Samples in this study
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