Derepression of a single microRNA target causes female infertility in mice [RNA-Seq]
RNA-seq (gene expression) · mouse · 69 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
- 69 samples: 44 distinct titles, 9 of them repeatedGroups 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
- Derepression of a single microRNA target causes female infertility in miceNucleic acids research · 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 GSE279446_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 PRJNA1172718 and SRA study SRP538488. Searching any of these in the dataset finder brings you back here.
How we read this: Read from 69 sample titles: 44 distinct titles with little repetition. 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.
- GSM8570781 Zeb1_WT_hypothalamus_1
- GSM8570782 Zeb1_WT_hypothalamus_2
- GSM8570783 Zeb1_WT_hypothalamus_3
- GSM8570784 Zeb1_WT_hypothalamus_4
- GSM8570785 Zeb1_200H_hypothalamus_1
- GSM8570786 Zeb1_200H_hypothalamus_2
- GSM8570787 Zeb1_200H_hypothalamus_3
- GSM8570788 Zeb1_200H_hypothalamus_4
- GSM8570789 Zeb1_200M_hypothalamus_1
- GSM8570790 Zeb1_200M_hypothalamus_2
- GSM8570791 Zeb1_200M_hypothalamus_3
- GSM8570792 Zeb1_WT_pituitary_1
- GSM8570793 Zeb1_WT_pituitary_2
- GSM8570794 Zeb1_WT_pituitary_3
- GSM8570795 Zeb1_WT_pituitary_4
- GSM8570796 Zeb1_200H_pituitary_1
- GSM8570797 Zeb1_200H_pituitary_2
- GSM8570798 Zeb1_200H_pituitary_3
- GSM8570799 Zeb1_200H_pituitary_4
- GSM8570800 Zeb1_200M_pituitary_1
- GSM8570801 Zeb1_200M_pituitary_2
- GSM8570802 Zeb1_200M_pituitary_3
- GSM8570803 Zeb1_WT_ovary_1
- GSM8570804 Zeb1_WT_ovary_2
- GSM8570805 Zeb1_WT_ovary_3
- GSM8570806 Zeb1_WT_ovary_4
- GSM8570807 Zeb1_200H_ovary_1
- GSM8570808 Zeb1_200H_ovary_2
- GSM8570809 Zeb1_200H_ovary_3
- GSM8570810 Zeb1_200H_ovary_4
- GSM8570811 Zeb1_200M_ovary_1
- GSM8570812 Zeb1_200M_ovary_2
- GSM8570813 Zeb1_200M_ovary_3
- GSM8570814 Zeb1_200M_ovary_4
- GSM9305517 Zeb1_WT_hypothalamus_1_youngCohort
- GSM9305518 Zeb1_WT_hypothalamus_2_youngCohort
- GSM9305519 Zeb1_WT_hypothalamus_3_youngCohort
- GSM9305520 Zeb1_WT_hypothalamus_4_youngCohort
- GSM9305521 Zeb1_200H_hypothalamus_1_youngCohort
- GSM9305522 Zeb1_200H_hypothalamus_2_youngCohort
+ 29 more — browse all 69 samples with per-sample file links →
- GSE300288 Single-cell and spatial transcriptomics analysis of tobacco-associated lung adenocarcinoma development, and in response to targeting inflammation alone or in combination with immune checkpoint blockade in precancerous phase [scRNA-seq] 31 samples shares rna-seq, target
- GSE218984 Decreased expression of EZH2 in granulosa cells contributes to endometriosis-associated infertility by targeting IL-1R2 11 samples shares infertility, target
- GSE277789 Spatiotemporal and genetic cell lineage tracing of endodermal organogenesis at single-cell resolution [Smart-seq3-RNA-seq-add] 830 samples shares rna-seq
- GSE311449 Single cell RNA-seq of mouse brain vascular cells with Smart-seq2 method 391 samples shares rna-seq
- GSE264105 Plate-based scRNA-seq of plasma-positive microglia and plasma-negative microglia in young mice 1111 samples shares rna-seq
- GSE326100 scRNA-seq of mouse cochlea organoid cells 768 samples shares rna-seq
- GSE98969 Single cell RNA-seq identifies a unique microglia type associated with Alzheimer’s disease [RNA] 97 samples shares rna-seq
- GSE330728 Single-nucleus RNA-seq atlas of 17 ASD-risk mouse lines under early-postnatal fluoxetine or lithium exposure (4-plex On-Chip Multiplexed) 53 samples shares 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.