Anchored screening identifies transcription factor blueprints underlying dendritic cell diversity and subset-specific anti-tumor immunity [human ChIP-seq]
ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 13 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
- 13 samples: 13 samples, each with a distinct title — no replicated groupsGroups 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
- Anchored screening identifies transcription factor blueprints underlying dendritic cell diversity and subset-specific anti-tumor immunityImmunity · 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 GSE246075_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 PRJNA1031229 and SRA study SRP468002. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 13 sample titles: 13 distinct titles with little repetition. 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.
- GSM7855126 PIP-HDF-PU.1
- GSM7855127 PIP-HDF-IRF4
- GSM7855128 PIP-HDF-PRDM1
- GSM7855129 SII-HDF-SPIB
- GSM7855130 SII-HDF-IRF8
- GSM7855131 SII-HDF-IKZF2
- GSM7855132 IRF4-HDF-IRF4
- GSM7855133 PRDM1-HDF-PRDM1
- GSM7855134 SPIB-HDF-SPIB
- GSM7855135 IKZF2-HDF-IKZF2
- GSM7855136 PIP-HDF-Input
- GSM7855137 SII-HDF-Input
- GSM7855138 HDF-Pooled-Input
- GSE282258 Imaging-based drug screening combined with moleuclar profiling identifies signatures and drivers of therapy resistance in pediatric AML [ATAC-seq] 44 samples shares identifies, screening
- GSE289173 Single-cell eQTL analysis identifies genetic variation underlying metabolic dysfunction-associated steatohepatitis 48 samples shares identifies, underlying
- GSE227974 MY-COMP, an inhibitor of the transcriptional activity of YAP-B-MYB, identifies NEK2 as a novel mediator of YAP oncogenesis in uveal melanoma cells 29 samples shares transcription, identifies
- GSE297483 Transcriptional stratification of necrotizing enterocolitis identifies distinct disease subtypes 23 samples shares transcription, identifies
- GSE310664 Analysis of experimental colorectal liver metastases identifies distinct proliferation independent transcriptional programs in micro- versus macrometastases 22 samples shares transcription, identifies
- GSE295823 Integrative multi-omics identifies AP-1 transcription factor as a targetable mediator of acquired osimertinib resistance in non-small cell lung cancer 20 samples shares transcription, identifies
- GSE284519 TRIM33 loss reduces Androgen Receptor transcriptional output and H2BK120 ubiquitination [ChIP-seq] 93 samples shares transcription
- GSE302930 Epigenetic Atlas of Bladder Cancer Reveals Master Transcription Factors and Risk-Associated Regulatory Elements in Luminal and Basal-Squamous Molecular Subtypes 92 samples shares transcription
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.