In-depth analysis of transcriptomes in ovarian cortical follicles from children and adults reveals interfollicular heterogeneity [RNA-Seq 2]
RNA-seq (gene expression) · human · 35 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
- 35 samples: 19 × Follicle, half, Patient 2, vs 16 × Follicle, half, Patient 1,Groups 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
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 GSE241982_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 PRJNA1010845 and SRA study SRP457663. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 35 samples.
How we read this: 2 replicated groups read from 35 sample titles; they account for 35 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.
- GSM7747105 Follicle, half, Patient 1, 1 Follicle, half, Patient…
- GSM7747106 Follicle, half, Patient 2, 1 Follicle, half, Patient…
- GSM7747107 Follicle, half, Patient 1, 2 Follicle, half, Patient…
- GSM7747108 Follicle, half, Patient 2, 2 Follicle, half, Patient…
- GSM7747109 Follicle, half, Patient 2, 3 Follicle, half, Patient…
- GSM7747110 Follicle, half, Patient 1, 3 Follicle, half, Patient…
- GSM7747111 Follicle, half, Patient 2, 4 Follicle, half, Patient…
- GSM7747112 Follicle, half, Patient 1, 4 Follicle, half, Patient…
- GSM7747113 Follicle, half, Patient 2, 5 Follicle, half, Patient…
- GSM7747114 Follicle, half, Patient 2, 6 Follicle, half, Patient…
- GSM7747115 Follicle, half, Patient 1, 5 Follicle, half, Patient…
- GSM7747116 Follicle, half, Patient 2, 7 Follicle, half, Patient…
- GSM7747117 Follicle, half, Patient 1, 6 Follicle, half, Patient…
- GSM7747118 Follicle, half, Patient 2, 8 Follicle, half, Patient…
- GSM7747119 Follicle, half, Patient 2, 9 Follicle, half, Patient…
- GSM7747120 Follicle, half, Patient 1, 7 Follicle, half, Patient…
- GSM7747121 Follicle, half, Patient 2, 10 Follicle, half, Patient…
- GSM7747122 Follicle, half, Patient 1, 8 Follicle, half, Patient…
- GSM7747123 Follicle, half, Patient 2, 11 Follicle, half, Patient…
- GSM7747124 Follicle, half, Patient 1, 9 Follicle, half, Patient…
- GSM7747125 Follicle, half, Patient 2, 12 Follicle, half, Patient…
- GSM7747126 Follicle, half, Patient 1, 10 Follicle, half, Patient…
- GSM7747127 Follicle, half, Patient 2, 13 Follicle, half, Patient…
- GSM7747128 Follicle, half, Patient 1, 11 Follicle, half, Patient…
- GSM7747129 Follicle, half, Patient 2, 14 Follicle, half, Patient…
- GSM7747130 Follicle, half, Patient 1, 12 Follicle, half, Patient…
- GSM7747131 Follicle, half, Patient 2, 15 Follicle, half, Patient…
- GSM7747132 Follicle, half, Patient 1, 13 Follicle, half, Patient…
- GSM7747133 Follicle, half, Patient 2, 16 Follicle, half, Patient…
- GSM7747134 Follicle, half, Patient 1, 14 Follicle, half, Patient…
- GSM7747135 Follicle, half, Patient 2, 17 Follicle, half, Patient…
- GSM7747136 Follicle, half, Patient 1, 15 Follicle, half, Patient…
- GSM7747137 Follicle, half, Patient 2, 18 Follicle, half, Patient…
- GSM7747138 Follicle, half, Patient 1, 16 Follicle, half, Patient…
- GSM7747139 Follicle, half, Patient 2, 19 Follicle, half, Patient…
- GSE241984 In-depth analysis of transcriptomes in ovarian cortical follicles from children and adults reveals interfollicular heterogeneity 109 samples shares interfollicular, transcriptomes, heterogeneity, follicles, in-depth, cortical, children, ovarian
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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.