RNA-seq of mononuclear immune cells isolated from breast cancer wound fluid after IORT or surgery alone
RNA-seq (gene expression) · human · 37 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
- 37 samples
- 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
- Early local immune activation following intra-operative radiotherapy in human breast tissueOncoimmunology · 2026
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 GSE302811_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 PRJNA1292204 and SRA study SRP601248. Searching any of these in the dataset finder brings you back here.
The grouping that defines any comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Sample titles run IORT_Sample_01 … IORT_Sample_37 and carry no group information.
- GSM9111637 IORT_Sample_01
- GSM9111638 IORT_Sample_02
- GSM9111639 IORT_Sample_03
- GSM9111640 IORT_Sample_04
- GSM9111641 IORT_Sample_05
- GSM9111642 IORT_Sample_06
- GSM9111643 IORT_Sample_07
- GSM9111644 IORT_Sample_08
- GSM9111645 IORT_Sample_09
- GSM9111646 IORT_Sample_10
- GSM9111647 IORT_Sample_11
- GSM9111648 IORT_Sample_12
- GSM9111649 IORT_Sample_13
- GSM9111650 IORT_Sample_14
- GSM9111651 IORT_Sample_15
- GSM9111652 IORT_Sample_16
- GSM9111653 IORT_Sample_17
- GSM9111654 IORT_Sample_18
- GSM9111655 IORT_Sample_19
- GSM9111656 IORT_Sample_20
- GSM9111657 IORT_Sample_21
- GSM9111658 IORT_Sample_22
- GSM9111659 IORT_Sample_23
- GSM9111660 IORT_Sample_24
- GSM9111661 IORT_Sample_25
- GSM9111662 IORT_Sample_26
- GSM9111663 IORT_Sample_27
- GSM9111664 IORT_Sample_28
- GSM9111665 IORT_Sample_29
- GSM9111666 IORT_Sample_30
- GSM9111667 IORT_Sample_31
- GSM9111668 IORT_Sample_32
- GSM9111669 IORT_Sample_33
- GSM9111670 IORT_Sample_34
- GSM9111671 IORT_Sample_35
- GSM9111672 IORT_Sample_36
- GSM9111673 IORT_Sample_37
- 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
- GSE319641 RNA-Seq profiling of pre- and on-treatment tumor samples from breast cancer patients enrolled in the NeoTRIP trial. 401 samples shares rna-seq, breast
- GSE327707 Sorted bulk RNA-seq profiling of human peripheral blood mononuclear cell populations across diverse in vitro immune stimuli 150 samples shares mononuclear, rna-seq
- GSE245414 RNA-seq profiling of breast metastases from different sites 42 samples shares rna-seq, 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.