Urolithin A maintains primordial follicle dormancy and prevents cyclophosphamide-induced follicle loss by inhibiting the PI3K/Akt signaling
RNA-seq (gene expression) · mouse · 12 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
- 12 samples: 3 × ovaries, NC vs 3 × ovaries, UA vs 3 × ovaries, Cy vs 3 × ovaries, C_UGroups 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.
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 GSE299728_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 PRJNA1276330 and SRA study SRP591929. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 12 samples.
How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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.
- GSM9045067 ovaries, NC_1 ovaries, NC
- GSM9045068 ovaries, NC_2 ovaries, NC
- GSM9045069 ovaries, NC_3 ovaries, NC
- GSM9045070 ovaries, UA_1 ovaries, UA
- GSM9045071 ovaries, UA_2 ovaries, UA
- GSM9045072 ovaries, UA_3 ovaries, UA
- GSM9045073 ovaries, Cy_1 ovaries, Cy
- GSM9045074 ovaries, Cy_2 ovaries, Cy
- GSM9045075 ovaries, Cy_3 ovaries, Cy
- GSM9045076 ovaries, C_U_1 ovaries, C_U
- GSM9045077 ovaries, C_U_2 ovaries, C_U
- GSM9045078 ovaries, C_U_3 ovaries, C_U
- GSE201806 Harmful algal bloom toxin microcystin-LR interferes with PP1-mediated PI3K/AKT/FOXO1 signaling in granulosa cells to disrupt ovarian follicle maturation and ovulation 15 samples shares pi3k, follicle
- GSE255212 Transcriptomic Signatures of WNT-Driven Pathways and Granulosa Cell-Oocyte Interaction during Primordial Follicle Activation 762 samples shares primordial, follicle
- GSE290574 Gene Regulatory Networks Orchestrating Oocyte Fate Bifurcation in Primordial Follicles Revealed by Single-Cell Transcriptomics 386 samples shares primordial, follicle
- GSE246098 p27kip1-dependent gene activity within pregranulosa cells implicates pathways relevant for control of primordial follicle activation in mice 29 samples shares primordial, follicle
- GSE287897 SPT6 maintains epidermal homeostasis by inhibiting an NF-κB- positive feedback loop to prevent excessive inflammation 9 samples shares inhibiting, maintains
- GSE234578 PI3K/AKT signalling regulates mouse Inner Cell Mass (ICM) progenitor specification [scRNA-seq] 186 samples shares pi3k
- GSE302836 Loss of Hepatocyte PI3Ka Protects Mice from Hepatocellular Carcinoma in association with altered lipid metabolism gene expression 42 samples shares pi3k
- GSE277881 Hyperactive PI3K-delta in Th1 and Th2 differentiation [RNA-seq] 42 samples shares pi3k
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.