Embryo implantation failure with defective luteinization and aberrant activated CD8+T cells in interferon-γ-induced hypophysitis
RNA-seq (gene expression) · mouse · 18 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
- 18 samples: 6 conditions, mostly in triplicateGroups 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.
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 GSE237306_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 PRJNA994549 and SRA study SRP449355. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 16 samples.
How we read this: 6 replicated groups read from 18 sample titles; they account for 16 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.
- GSM7605341 Uterus Wildtype 1-backup
- GSM7605342 Uterus Wildtype 2 Uterus Wildtype
- GSM7605343 Uterus Wildtype 3 Uterus Wildtype
- GSM7605344 Uterus Heterozygous 1 Uterus Heterozygous
- GSM7605345 Uterus Heterozygous 2 Uterus Heterozygous
- GSM7605346 Uterus Heterozygous 3 Uterus Heterozygous
- GSM7605347 Uterus Homozygous 1 Uterus Homozygous
- GSM7605348 Uterus Homozygous 2 Uterus Homozygous
- GSM7605349 Uterus Homozygous 3 Uterus Homozygous
- GSM7605350 Ovary Wildtype 1 Ovary Wildtype
- GSM7605351 Ovary Wildtype 2 Ovary Wildtype
- GSM7605352 Ovary Wildtype 3 Ovary Wildtype
- GSM7605353 Ovary Heterozygous 1 Ovary Heterozygous
- GSM7605354 Ovary Heterozygous 2 Ovary Heterozygous
- GSM7605355 Ovary Heterozygous 4 Ovary Heterozygous
- GSM7605356 Ovary Homozygous 2 Ovary Homozygous
- GSM7605357 Ovary Homozygous 3 Ovary Homozygous
- GSM7605358 Ovary Homozygous 6-backup
- GSE253492 Transcriptional Regulation by NFATc1 and NFATc2 in chronically activated CD8+ T cells 16 samples shares cd8, activated
- GSE290455 RNAseq of activated CD8+ T cells with and without Glutamine Synthetase 10 samples shares cd8, activated
- GSE232024 Differences in gene expression of liver cancer cells after co-culture with activated CD8+ T cells in vitro 10 samples shares cd8, activated
- GSE281719 PD-1 Mediated Regulation of Unique Activated CD8+ T Cells by NK Cells in the Submandibular Gland [I15, I16] 60 samples shares cd8, activated
- GSE317032 Non-cytolytic viral vaccine vectors induce durable effector-memory CD8 T cell immunity by triggering type I interferon 18 samples shares cd8, interferon
- GSE296763 Mitochondrial respiration is necessary for CD8 T cell proliferation and cell fate 99 samples shares cd8
- 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 cd8
- GSE302682 Sleeping Beauty mutagenesis identifies BACH2 and other regulators promoting CD8+ T cell persistence and effector function under tumor-associated chronic antigen stimulation - RNAseq 66 samples shares cd8
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.