Unlocking the aggressive potential of ZNF217 Exon-4 Skipping isoform in breast cancer and its contribution to bone metastasis
RNA-seq (gene expression) · human · 12 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)
- Topic
- Breast cancerThis series is part of our curated briefing on it.
- Samples
- 12 samples: 3 × WT vs 3 × CMV vs 3 × DE vs 3 × GLYGroups 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
- Chromatin Engagement and Transcriptional Activity of the ZNF217 Exon 4-Skipping Isoform Are Associated with Breast Cancer Aggressiveness and Bone MetastasisCancers · 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 GSE269986_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 PRJNA1124558 and SRA study SRP514230. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 12 samples.
How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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.
- GSM8332095 WT1 WT
- GSM8332096 WT2 WT
- GSM8332097 WT3 WT
- GSM8332098 CMV1 CMV
- GSM8332099 CMV2 CMV
- GSM8332100 CMV3 CMV
- GSM8332101 DE1 DE
- GSM8332102 DE2 DE
- GSM8332103 DE3 DE
- GSM8332104 GLY1 GLY
- GSM8332105 GLY2 GLY
- GSM8332106 GLY3 GLY
- GSE104193 Hypoxia-mediated translational activation of ITGB3 in breast cancer cells enhances TGF-β signalling and malignant features in vitro and in vivo 32 samples same disease briefing
- GSE104675 Role for the Transcriptional Activator ZRF1 in Breast Cancer Progression and Endocrine Resistance 6 samples same disease briefing
- GSE10885 An integromic analysis reveals that metaplastic carcinomas are distinct from basal-like tumors. 244 samples same disease briefing
- GSE10886 A Supervised Risk Predictor of Breast Cancer Based on Biological Subtypes 226 samples same disease briefing
- GSE11121 The humoral immune system has a key prognostic impact in node-negative breast cancer 200 samples same disease briefing
- GSE242951 Contribution of crosstalk of mesothelial and tumoral epithelial cells in pleural metastasis of lung cancer 12 samples shares contribution, metastasis
- GSE242210 SIVA mutation, a candidate metastasis gene identified from clonally related bilateral breast cancers, promotes breast cancer cell aggressiveness in vitro and in vivo 12 samples shares aggressive, metastasis
- GSE118389 Unravelling subclonal heterogeneity and aggressive disease states in TNBC through single-cell RNA-seq [RNA-Seq] 1534 samples shares aggressive
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.