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Expression profiles of human cumulus cells from patients with PCOS and non-PCOS

GSE277906 Homo sapiens (human) RNA-seq (gene expression) 40 samples Submitted 2024/10/30 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 40 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
40 samples: 23 × PCOS vs 17 × ControlGroups 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
Multi-omics approach to reveal follicular metabolic changes and their effects on oocyte competence in PCOS patientsFrontiers in endocrinology · 2024
Summary (written by the submitters)
To reveal mRNAs expression differences in cumulus cells between polycystic ovary syndrome (PCOS) and non-PCOS women. mRNAs expression profile of the cumulus cell samples with PCOS and non-PCOS were determined by Illumina Novaseq 6000.
Published in
Multi-omics approach to reveal follicular metabolic changes and their effects on oocyte competence in PCOS patients
Chen Y, Xie M, Wu S et al. · Frontiers in endocrinology 2024 · PMID 39464191 · doi:10.3389/fendo.2024.1426517
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 GSE277906_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 PRJNA1164742 and SRA study SRP534488. Searching any of these in the dataset finder brings you back here.

Study design
23 × PCOS vs 17 × Control

Supports a between-group comparison across 40 samples.

How we read this: 2 replicated groups read from 40 sample titles; they account for 40 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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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.