ZNF296 drives immune evasion in epithelial cancer cells [RNA-seq]
RNA-seq (gene expression) · human · 10 samples
- What it is
- RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
- Organism
- Homo sapiens (human)
- Samples
- 10 samples: 3 × A549 cells, Control vs 3 × A549 cells, ZNF296OE vs 2 × 4T1 cells, sgNTC vs 2 × 4T1 cells, sgZfp296-1Groups 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
- ZNF296 Drives Immune Evasion in Epithelial Cancers by Repressing Immune Stimulatory GenesCancer research · 2026
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 GSE283056_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: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.
Also filed as BioProject PRJNA1191517 and SRA study SRP548099. 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.
- GSM8655184 A549 cells, Control-rep1 A549 cells, Control
- GSM8655185 A549 cells, Control-rep2 A549 cells, Control
- GSM8655186 A549 cells, Control-rep3 A549 cells, Control
- GSM8655187 A549 cells, ZNF296OE-rep1 A549 cells, ZNF296OE
- GSM8655188 A549 cells, ZNF296OE-rep2 A549 cells, ZNF296OE
- GSM8655189 A549 cells, ZNF296OE-rep3 A549 cells, ZNF296OE
- GSM8655196 4T1 cells, sgNTC-rep1 4T1 cells, sgNTC
- GSM8655197 4T1 cells, sgNTC-rep2 4T1 cells, sgNTC
- GSM8655198 4T1 cells, sgZfp296-1-rep1 4T1 cells, sgZfp296-1
- GSM8655199 4T1 cells, sgZfp296-1-rep2 4T1 cells, sgZfp296-1
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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.