Triple-Negative Breast Cancer Shapes the Systemic Immune Landscape and Alters Neutrophil Functionality [bulkRNA-seq]
RNA-seq (gene expression) · human · 14 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
- 14 samples: 7 × Neutrophils mTNBC vs 7 × Neutrophils HDGroups 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
- Triple-negative breast cancer modifies the systemic immune landscape and alters neutrophil functionalityNPJ breast cancer · 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 GSE264108_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 PRJNA1101001 and SRA study SRP502162. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 14 samples.
How we read this: 2 replicated groups read from 14 sample titles; they account for 14 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.
- GSM8211616 Neutrophils mTNBC1 Neutrophils mTNBC
- GSM8211617 Neutrophils mTNBC2 Neutrophils mTNBC
- GSM8211618 Neutrophils mTNBC3 Neutrophils mTNBC
- GSM8211619 Neutrophils mTNBC4 Neutrophils mTNBC
- GSM8211620 Neutrophils mTNBC5 Neutrophils mTNBC
- GSM8211621 Neutrophils mTNBC6 Neutrophils mTNBC
- GSM8211622 Neutrophils mTNBC7 Neutrophils mTNBC
- GSM8211623 Neutrophils HD1 Neutrophils HD
- GSM8211624 Neutrophils HD2 Neutrophils HD
- GSM8211625 Neutrophils HD3 Neutrophils HD
- GSM8211626 Neutrophils HD4 Neutrophils HD
- GSM8211627 Neutrophils HD5 Neutrophils HD
- GSM8211628 Neutrophils HD6 Neutrophils HD
- GSM8211629 Neutrophils HD7 Neutrophils HD
- 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 · shares breast
- GSE104675 Role for the Transcriptional Activator ZRF1 in Breast Cancer Progression and Endocrine Resistance 6 samples same disease briefing · shares breast
- GSE10886 A Supervised Risk Predictor of Breast Cancer Based on Biological Subtypes 226 samples same disease briefing · shares breast
- GSE11121 The humoral immune system has a key prognostic impact in node-negative breast cancer 200 samples same disease briefing · shares breast
- GSE10885 An integromic analysis reveals that metaplastic carcinomas are distinct from basal-like tumors. 244 samples same disease briefing
- GSE275823 Uncovering the Dynamics of Immune Cell Populations in the First Week of Life: The Interplay of Neutrophils and Breastfeeding 178 samples shares neutrophil, breast
- GSE334033 A Patient-Derived Xenograft Model Identifies AK1 as a Key Regulator of Metastatic Potential in Primary Triple-Negative Breast Cancer 105 samples shares triple-negative, breast
- GSE225002 Consensus molecular classification of triple-negative breast cancers 48 samples shares triple-negative, breast
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.