Akr1b7 functions as a master regulator in ovarian aging [RNA-seq]
RNA-seq (gene expression) · mouse · 17 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
- Mus musculus (mouse)
- Samples
- 17 samples: 10 × Ovary, WT vs 7 × Ovary, KOGroups 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
- Reduced Akr1b7 signaling drives ovarian aging and reproductive dysfunctioniScience · 2026
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 GSE238259_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 PRJNA998476 and SRA study SRP451401. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 17 samples.
How we read this: 2 replicated groups read from 17 sample titles; they account for 17 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.
- GSM7661205 Ovary, WT_1 Ovary, WT
- GSM7661206 Ovary, WT_2 Ovary, WT
- GSM7661207 Ovary, WT_3 Ovary, WT
- GSM7661208 Ovary, WT_4 Ovary, WT
- GSM7661209 Ovary, WT_5 Ovary, WT
- GSM7661210 Ovary, WT_6 Ovary, WT
- GSM7661211 Ovary, WT_7 Ovary, WT
- GSM7661212 Ovary, WT_8 Ovary, WT
- GSM7661213 Ovary, WT_9 Ovary, WT
- GSM7661214 Ovary, WT_10 Ovary, WT
- GSM7661215 Ovary, KO_1 Ovary, KO
- GSM7661216 Ovary, KO_2 Ovary, KO
- GSM7661217 Ovary, KO_3 Ovary, KO
- GSM7661218 Ovary, KO_4 Ovary, KO
- GSM7661219 Ovary, KO_5 Ovary, KO
- GSM7661220 Ovary, KO_6 Ovary, KO
- GSM7661221 Ovary, KO_7 Ovary, KO
- GSE217662 Decoding Trp53 regulatory program with knockout cell transcriptomic landscape analyses [scRNA-seq] 247 samples shares regulator, rna-seq
- GSE307881 Mouse Offspring Conceived by In Vitro Fertilization Exhibit Accelerated Reproductive Aging Through Early Ovarian Failure 151 samples shares ovarian, aging
- GSE276155 RBBP5 is an epigenetic regulator of mammalian hepatic 12h oscillator [RNA-seq] 96 samples shares regulator, rna-seq
- GSE334845 Discovery of Tcf7 regulators with clonally-resolved CRISPR screens identifies Trim28 as a mediator of CD8 T cell differentiation in tumors [RNA-Seq] 86 samples shares regulator, rna-seq
- GSE297451 Temporal and Context-Dependent Requirements for the Transcription Factor Foxp3 in Regulatory T Cell Development and Maintenance [RNA-seq] 70 samples shares regulator, rna-seq
- GSE268774 Lymph node macrophages drive immune tolerance and resistance to cancer therapy by expression of the immune-regulatory cytokine IL-33 [RNA-seq] 48 samples shares regulator, rna-seq
- GSE279536 Hypoxic stress dysregulates functions of glioma-associated myeloid cells through epigenomic and transcriptional programs [RNA-seq] 38 samples shares functions, rna-seq
- GSE270509 In vivo CRISPR screen reveals interplay of epigenetic regulators underlies kinetics of hepatobiliary reprogramming [RNA-Seq] 27 samples shares regulator, rna-seq
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.