Stromal Cells from Endometriosis Patients Reflect Lesion Type-Specific Heterogeneity
RNA-seq (gene expression) · human · 20 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)
- Samples
- 20 samples: 5 × C vs 5 × DE vs 5 × OMA vs 5 × SFGroups 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
- Endometrial Stromal Cells from Endometriosis Patients Reflect Lesion-Type-Specific HeterogeneityCells · 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 GSE303635_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 PRJNA1295965 and SRA study SRP603316. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 20 samples.
How we read this: 4 replicated groups read from 20 sample titles; they account for 20 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.
- GSM9131739 C1 C
- GSM9131740 C2 C
- GSM9131741 C3 C
- GSM9131742 C4 C
- GSM9131743 C5 C
- GSM9131744 DE1 DE
- GSM9131745 DE2 DE
- GSM9131746 DE3 DE
- GSM9131747 DE4 DE
- GSM9131748 DE5 DE
- GSM9131749 OMA1 OMA
- GSM9131750 OMA2 OMA
- GSM9131751 OMA3 OMA
- GSM9131752 OMA4 OMA
- GSM9131753 OMA5 OMA
- GSM9131754 SF1 SF
- GSM9131755 SF2 SF
- GSM9131756 SF3 SF
- GSM9131757 SF4 SF
- GSM9131758 SF5 SF
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- GSE335482 Immune-dominated cellular heterogeneity and stromal plasticity in keloid infiltrating and hypercellular zones revealed by single-cell RNA sequencing 8 samples shares heterogeneity, stromal
- GSE288704 Whole transcriptome analysis of unmutated sporadic ALS patients’ peripheral blood reveals phenotype-specific gene expression signature 66 samples shares type-specific
- GSE281106 Single-cell RNA-seq of peripheral blood links cell-type-specific regulation of splicing to autoimmune and inflammatory diseases [scRNAseq_KR_SGI] 352 samples shares type-specific
- GSE309595 Longitudinal Analysis of Multiple Myeloma: Therapeutic Response and Immune Microenvironment Dynamics in the Context of Tumor Heterogeneity [scRNA-seq] 270 samples shares heterogeneity
- GSE243013 A single-cell atlas of immune heterogeneity in anti-PD1-treated non-small cell lung cancer 243 samples shares heterogeneity
- GSE263733 Single-cell transcriptome analysis reveals subtype-specific clonal evolution and microenvironmental changes in liver metastasis of pancreatic adenocarcinoma and their clinical implications 218 samples shares type-specific
- GSE216842 Transcriptomic landscape of human primary stromal cells (fibroblasts, endothelial cells and mesenchymal stem cells) upon therapy-induced senescence (genotoxic chemotherapy） 24 samples shares stromal
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.