Systemic and breast chronic inflammation and hormone disposition promote a tumor-permissive environment for breast cancer in older women (All Samples; Human and Rat)
RNA-seq (gene expression) · rat · 187 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
- Rattus norvegicus (rat)
- Topic
- Breast cancerThis series is part of our curated briefing on it.
- Samples
- 187 samples: 8 conditions, mostly in duplicateGroups 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.
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 GSE276760_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 PRJNA1158809 and SRA study SRP531646. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 186 samples.
How we read this: 8 replicated groups read from 187 sample titles; they account for 186 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.
- GSM8505220 AL_001 AL
- GSM8505221 AL_002 AL
- GSM8505222 AL_003 AL
- GSM8505223 AL_004 AL
- GSM8505224 AL_005 AL
- GSM8505225 AL_006 AL
- GSM8505226 AL_007 AL
- GSM8505227 AL_008 AL
- GSM8505228 AL_009 AL
- GSM8505229 AL_010 AL
- GSM8505230 AL_011 AL
- GSM8505231 AL_012 AL
- GSM8505232 AL_013 AL
- GSM8505233 AL_014 AL
- GSM8505234 AL_015 AL
- GSM8505235 AL_016 AL
- GSM8505236 AL_017 AL
- GSM8505237 AL_018 AL
- GSM8505238 AL_019 AL
- GSM8505239 AL_020 AL
- GSM8505240 AL_021 AL
- GSM8505241 AL_022 AL
- GSM8505242 AL_023 AL
- GSM8505243 AL_024 AL
- GSM8505244 AL_025 AL
- GSM8505245 AL_026 AL
- GSM8505246 AL_027 AL
- GSM8505247 AL_028 AL
- GSM8505248 AL_029 AL
- GSM8505249 AL_030 AL
- GSM8505250 AL_031 AL
- GSM8505251 AL_032 AL
- GSM8505252 AL_033 AL
- GSM8505253 AL_034 AL
- GSM8505254 AL_035 AL
- GSM8505255 AL_036 AL
- GSM8505256 AL_037 AL
- GSM8505257 AL_038 AL
- GSM8505258 AL_039 AL
- GSM8505259 AL_040 AL
+ 147 more — browse all 187 samples with per-sample file links →
- 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
- 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
- GSE10885 An integromic analysis reveals that metaplastic carcinomas are distinct from basal-like tumors. 244 samples same disease briefing
- GSE213302 Assessing developmental neurotoxicity of emerging environmental chemicals using multiple in vitro models: A comparative analysis. 78 samples shares environment
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.