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TGFBI is upregulated in ectopic endometrial stromal cells and under hypoxic conditions in endometriosis.

GSE269530 Homo sapiens (human) RNA-seq (gene expression) 20 samples Submitted 2024/12/07 Platform GPL24676
At a glance

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 × Primary eutopic endometrial stromal cells N vs 5 × Primary ectopic endometrial stromal cells N vs 5 × Primary eutopic endometrial stromal cells H vs 5 × Primary ectopic endometrial stromal cells HGroups 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
Hypoxic conditions affect transcriptome of endometrial stromal cells in endometriosis and promote TGFBI axisFrontiers in endocrinology · 2024
Summary (written by the submitters)
The objective of the study was to compare the transcriptome of the primary eutopic and ectopic endometrial stromal cells isolated from paired eutopic endometrium and peritoneal lesions from women with endometriosis (N = 5) exposed to normoxic (20% O2) or hypoxic (1% O2) conditions for 48 hours. Induced expression of TGFBI was found in ectopic cells and ectopic & eutopic cells exposed to hypoxia at both RNA and protein (secreted to the culture media) levels.
Read the full summary ↓
TGFBI gene and protein expression ex vivo in euoptic endometrium of women with endometriosis and controls (women without endometriosis) was found to be increased in the proliferative phase of menstrual cycle compared to secretory phase.
Published in
Hypoxic conditions affect transcriptome of endometrial stromal cells in endometriosis and promote TGFBI axis
Sarsenova M, Boggavarapu NR, Kask K et al. · Frontiers in endocrinology 2024 · PMID 39744178 · doi:10.3389/fendo.2024.1465393
This dataset
Download · which file do I need?

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.

1 · Just have a look

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.

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE269530_RAW.tar (it can run to tens of gigabytes).

3 · Start from the raw reads

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 PRJNA1122200 and SRA study SRP512984. Searching any of these in the dataset finder brings you back here.

Study design
5 × Primary eutopic endometrial stromal cells N vs 5 × Primary ectopic endometrial stromal cells N vs 5 × Primary eutopic endometrial stromal cells H vs 5 × Primary ectopic endometrial stromal cells H

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.

Samples in this study
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