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Sensitive CAR T cells redefine targetable CD70 expression in solid tumors [ATAC-seq]

GSE311096 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 37 samples Submitted 2026/02/26 Platform GPL24676
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 37 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
37 samples: 11 conditions, mostly in triplicateGroups 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
Sensitive CAR T cells redefine targetable CD70 expression in solid tumorsScience (New York, N.Y.) · 2026
Summary (written by the submitters)
CD70 expression in solid tumors is heterogeneous. We demonstrate that cells appearing CD70-negative retain ultra-low levels of CD70 expression. These cells that appear negative by conventional detection methods. Bulk ATAC-seq analysis of FACS-sorted CD70⁻ and CD70⁺ tumor populations revealed differential chromatin accessibility, indicating epigenetic regulation of CD70 expression in both ccRCC and HGSOC models.
Published in
Sensitive CAR T cells redefine targetable CD70 expression in solid tumors
Hanina SA, Park T, Lopez M et al. · Science (New York, N.Y.) 2026 · PMID 41747043 · doi:10.1126/science.adv7378
This dataset
Open GSE311096 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 GSE311096_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 PRJNA1368650 and SRA study SRP648341. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41747043) ↗
Study design
11 conditions, mostly in triplicate
ATAC-seq, OV, CD70LO, ×4 ATAC-seq, OV, CD70POS, ×4 ATAC-seq, K7, KIDNEY, CD70LO, D0, ×3 ATAC-seq, K7, KIDNEY, CD70POS, D0, ×3 ATAC-seq, K7, Lung, D0, ×3 ATAC-seq, K7, IN VITRO, ×3 ATAC-seq, K5, KIDNEY, CD70LO, D0, ×3 ATAC-seq, K5, KIDNEY, CD70POS, D0, ×3 +7 more

Supports a between-group comparison across 33 samples.

How we read this: 11 replicated groups read from 37 sample titles; they account for 33 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
Datasets on a similar topic

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