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In-depth analysis of transcriptomes in ovarian cortical follicles from children and adults reveals interfollicular heterogeneity

GSE241984 Homo sapiens (human) Non-coding RNA profiling 109 samples Submitted 2024/06/26 Platform GPL18573
At a glance

Non-coding RNA profiling · human · 109 samples

What it is
Non-coding RNA profilingLevels of RNAs that do not code for proteins, such as miRNA or lncRNA.
Organism
Homo sapiens (human)
Samples
109 samples: 7 conditions, mostly with about 16 replicates eachGroups 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
In-depth analysis of transcriptomes in ovarian cortical follicles from children and adults reveals interfollicular heterogeneityNature communications · 2024
SuperSeries — this record groups several sub-series.
Summary (written by the submitters)
This SuperSeries is composed of the SubSeries listed below.
Published in
In-depth analysis of transcriptomes in ovarian cortical follicles from children and adults reveals interfollicular heterogeneity
Rooda I, Hassan J, Hao J et al. · Nature communications 2024 · PMID 39168975 · doi:10.1038/s41467-024-51185-0
This dataset
Open GSE241984 in finder → Find more human RNA-seq datasets →
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.

Series matrix ↓
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 GSE241984_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
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.

Raw reads on ENA ↗

Also filed as BioProject PRJNA1010842 and SRA study SRP457639. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 39168975) ↗
Study design
7 conditions, mostly with about 16 replicates each
Follicle, full, Patient 12, ×21 Follicle, half, Patient 2, ×19 Follicle small, Patient 2, ×19 Follicle, full, Patient 11, ×16 Follicle, half, Patient 1, ×16 Follicle small, Patient 1, ×16 Follicle, full, Patient 10, ×2

Supports a between-group comparison across 109 samples.

How we read this: 7 replicated groups read from 109 sample titles; they account for 109 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

+ 69 more — browse all 109 samples with per-sample file links →

Datasets on a similar topic

Search all human RNA-seq datasets in GEO →

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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.