Human breast tumor expression
Expression microarray · human · 47 samples
- What it is
- Expression microarrayGene activity read on a chip (the older technology that RNA-seq replaced).
- Organism
- Homo sapiens (human)
- Samples
- 47 samples: 47 samples, each with a distinct title — no replicated groupsGroups are read from the sample names, not from the paper. Check the list below.
- Data you can get
- A processed expression table (series matrix) and the array files, from NCBI.
Direct links to NCBI, 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.
Whole study · RAW.tar
Everything the authors deposited as one archive (GSE3744_RAW.tar), including the raw array or instrument files. Can be large; the picker in step 2 takes just the samples you need.
What the files usually look like: For arrays the series matrix is normally the normalised expression table you want; the raw array files (CEL and similar) are in the RAW.tar.
Also filed as BioProject PRJNA93913. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 47 sample titles: 47 distinct titles with little repetition. 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.
- GSM85473 T118 U133p2
- GSM85474 T134 U133p2
- GSM85475 T140 U133p2
- GSM85476 T141 U133p2
- GSM85477 T146 U133p2
- GSM85478 T147 U133p2
- GSM85479 T149 U133p2
- GSM85480 T133 U133p2
- GSM85481 T21 U133p2
- GSM85482 T56 U133p2
- GSM85483 T116 U133p2
- GSM85484 T144 U133p2
- GSM85485 T129 U133p2
- GSM85486 T143 U133p2
- GSM85487 T38 U133p2
- GSM85488 T123 U133p2
- GSM85489 T137 U133p2
- GSM85490 T130 U133p2
- GSM85491 T151 U133p2
- GSM85492 T152 U133p2
- GSM85493 T37 U133p2
- GSM85494 T183 U133p2
- GSM85495 T117 U133p2
- GSM85496 T161 U133p2
- GSM85497 T30 U133p2
- GSM85498 T84 U133p2
- GSM85499 T115 U133p2
- GSM85500 T44 U133p2
- GSM85501 T81 U133p2
- GSM85502 T50 U133p2
- GSM85503 T4 U133p2
- GSM85504 T175 U133p2
- GSM85505 T178 U133p2
- GSM85506 T41 U133p2
- GSM85507 T73 U133p2
- GSM85508 T92 U133p2
- GSM85509 T74 U133p2
- GSM85510 T162 U133p2
- GSM85511 T145 U133p2
- GSM85512 T119 U133p2
+ 7 more — browse all 47 samples with per-sample file links →
- GSE3193 Breast Tumor Clinical Implications 85 samples shares breast
- GSE276755 Systemic and breast chronic inflammation and hormone disposition promote a tumor-permissive environment for breast cancer in older women (Human Bulk RNA-Seq) 168 samples shares breast
- GSE25066 Genomic predictor of response and survival following neoadjuvant taxane-anthracycline chemotherapy in breast cancer 508 samples shares breast
- GSE309004 Molecular determinants of neoadjuvant chemotherapy resistance in breast cancer: An analysis of gene expression and tumor microenvironment 54 samples shares breast
- GSE319641 RNA-Seq profiling of pre- and on-treatment tumor samples from breast cancer patients enrolled in the NeoTRIP trial. 401 samples shares breast
- GSE25055 Discovery cohort for genomic predictor of response and survival following neoadjuvant taxane-anthracycline chemotherapy in breast cancer 310 samples shares breast
- GSE199913 KDM4C inhibition blocks tumor growth in basal breast cancer by promoting cathepsin L-mediated histone H3 cleavage 231 samples shares breast
- GSE11121 The humoral immune system has a key prognostic impact in node-negative breast cancer 200 samples shares 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.