Functional and transcriptomic dose-response analysis of follicle-stimulating hormone in ex vivo mouse folliculogenesis and oogenesis
RNA-seq (gene expression) · mouse · 50 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
- 50 samples: 7 conditions, mostly with about 6 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
- A Dose-Response Study on Functional and Transcriptomic Effects of FSH on Ex Vivo Mouse FolliculogenesisEndocrinology · 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 GSE249196_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 PRJNA1047649 and SRA study SRP475385. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 50 samples.
How we read this: 7 replicated groups read from 50 sample titles; they account for 50 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.
- GSM7928071 follicle D4_2 follicle D4
- GSM7928072 follicle D4_3 follicle D4
- GSM7928073 follicle D4_4 follicle D4
- GSM7928074 follicle D4_6 follicle D4
- GSM7928075 follicle D4_7 follicle D4
- GSM7928076 follicle D4_8 follicle D4
- GSM7928077 follicle D6_5_2 follicle D6_5
- GSM7928078 follicle D6_5_3 follicle D6_5
- GSM7928079 follicle D6_5_4 follicle D6_5
- GSM7928080 follicle D6_5_5 follicle D6_5
- GSM7928081 follicle D6_5_6 follicle D6_5
- GSM7928082 follicle D6_5_7 follicle D6_5
- GSM7928083 follicle D6_10_1 follicle D6_10
- GSM7928084 follicle D6_10_2 follicle D6_10
- GSM7928085 follicle D6_10_4 follicle D6_10
- GSM7928086 follicle D6_10_5 follicle D6_10
- GSM7928087 follicle D6_10_6 follicle D6_10
- GSM7928088 follicle D6_10_7 follicle D6_10
- GSM7928089 follicle D6_20_1 follicle D6_20
- GSM7928090 follicle D6_20_2 follicle D6_20
- GSM7928091 follicle D6_20_4 follicle D6_20
- GSM7928092 follicle D6_20_5 follicle D6_20
- GSM7928093 follicle D6_20_7 follicle D6_20
- GSM7928094 follicle D6_20_8 follicle D6_20
- GSM7928095 follicle D6_30_1 follicle D6_30
- GSM7928096 follicle D6_30_2 follicle D6_30
- GSM7928097 follicle D6_30_4 follicle D6_30
- GSM7928098 follicle D6_30_5 follicle D6_30
- GSM7928099 follicle D6_30_6 follicle D6_30
- GSM7928100 follicle D6_30_7 follicle D6_30
- GSM7928101 oocyte FSH10_1 oocyte FSH10
- GSM7928102 oocyte FSH10_11 oocyte FSH10
- GSM7928103 oocyte FSH10_13 oocyte FSH10
- GSM7928104 oocyte FSH10_15 oocyte FSH10
- GSM7928105 oocyte FSH10_2 oocyte FSH10
- GSM7928106 oocyte FSH10_3 oocyte FSH10
- GSM7928107 oocyte FSH10_4 oocyte FSH10
- GSM7928108 oocyte FSH10_5 oocyte FSH10
- GSM7928109 oocyte FSH10_8 oocyte FSH10
- GSM7928110 oocyte FSH10_9 oocyte FSH10
+ 10 more — browse all 50 samples with per-sample file links →
- GSE158473 Exposure to di(2-ethylhexyl) phthalate and diisononyl phthalate during adulthood disrupts hormones and ovarian folliculogenesis throughout the prime reproductive life of the female mouse. 30 samples shares folliculogenesis, hormone
- GSE275041 Skeletal muscle-derived myostatin is a major endocrine driver of follicle-stimulating hormone synthesis 11 samples shares follicle-stimulating, hormone
- GSE310461 Regulation of murine follicle-stimulating hormone β subunit transcription by newly identified enhancers 27 samples shares follicle-stimulating, hormone
- GSE310459 Regulation of murine follicle-stimulating hormone β subunit transcription by newly identified enhancers [ChIP-seq; LβT2 cells] 13 samples shares follicle-stimulating, hormone
- GSE310460 Regulation of murine follicle-stimulating hormone β subunit transcription by newly identified enhancers [scATAC-seq; Mouse Pituitaries] 10 samples shares follicle-stimulating, hormone
- GSE310458 Regulation of murine follicle-stimulating hormone β subunit transcription by newly identified enhancers [ATAC-seq; LβT2 cells] 4 samples shares follicle-stimulating, hormone
- GSE290088 Evolutionarily divergent transcriptomic programs in ovarian folliculogenesis across mice, monkeys and humans [Mouse] 54 samples shares folliculogenesis
- GSE288679 RNase H1-dependent R-loop Clearance is a Prerequisite for Genome Silencing in Mouse Oogenesis [RNA-Seq] 12 samples shares oogenesis
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.