Distinct Vps34-orchestrated signaling processes dictate the transitional heterogeneity and functional adaptation of effector Treg cells [ATAC-seq1]
ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 10 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
- Mus musculus (mouse)
- Samples
- 10 samples: 4 × spleen derived Vps34 deficient Treg cells vs 2 × spleen derived WT Treg cells vs 2 × lung derived WT Treg cells vs 2 × lung derived Vps34 deficient Treg cellsGroups 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; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
- Paper
- Vps34-orchestrated lipid signaling processes regulate the transitional heterogeneity and functional adaptation of effector regulatory T cellsPLoS biology · 2025
Read the full summary ↓
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.
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.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE283256_RAW.tar (it can run to tens of gigabytes).
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.
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 PRJNA1192968 and SRA study SRP548637. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 10 samples.
How we read this: 4 replicated groups read from 10 sample titles; they account for 10 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.
- GSM8658728 spleen derived WT Treg cells1 spleen derived WT Treg …
- GSM8658729 spleen derived WT Treg cells2 spleen derived WT Treg …
- GSM8658730 spleen derived Vps34 deficient Treg cells1 spleen derived Vps34 de…
- GSM8658731 spleen derived Vps34 deficient Treg cells2 spleen derived Vps34 de…
- GSM8658732 spleen derived Vps34 deficient Treg cells3 spleen derived Vps34 de…
- GSM8658733 spleen derived Vps34 deficient Treg cells4 spleen derived Vps34 de…
- GSM8658734 lung derived WT Treg cells1 lung derived WT Treg ce…
- GSM8658735 lung derived WT Treg cells2 lung derived WT Treg ce…
- GSM8658736 lung derived Vps34 deficient Treg cells1 lung derived Vps34 defi…
- GSM8658737 lung derived Vps34 deficient Treg cells2 lung derived Vps34 defi…
- GSE283255 Distinct Vps34-orchestrated signaling processes dictate the transitional heterogeneity and functional adaptation of effector Treg cells [ATAC-seq2] 14 samples shares vps34-orchestrated, heterogeneity, transitional, adaptation, processes, distinct, effector
- GSE279606 Distinct Vps34-orchestrated signaling processes dictate the transitional heterogeneity and functional adaptation of effector Treg cells. 55 samples shares vps34-orchestrated, heterogeneity, transitional, adaptation, processes, distinct, effector
- GSE262713 TRIM28-dependent developmental heterogeneity determines cancer susceptibility through distinct epigenetic states 182 samples shares heterogeneity, distinct
- GSE263021 TRIM28-dependent developmental heterogeneity determines cancer susceptibility through distinct epigenetic states [RNA-seq - matched healthy and tumor tissues] 41 samples shares heterogeneity, distinct
- GSE263020 TRIM28-dependent developmental heterogeneity determines cancer susceptibility through distinct epigenetic states [RNA-seq - day 10 earclips] 15 samples shares heterogeneity, distinct
- GSE327449 Heterogeneity in hematopoietic stem cell enables adaptation to the aged microenvironment [scRNA-seq] 12 samples shares heterogeneity, adaptation
- GSE326529 Heterogeneity in hematopoietic stem cell enables adaptation to the aged microenvironment [celltag_cross_exp4] 12 samples shares heterogeneity, adaptation
- GSE296276 Distinct tissue niches contribute to prostate TRM cell differentiation and heterogeneity [RNA-seq] 12 samples shares heterogeneity, distinct
Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.