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Transcriptomic signature associated with education in uterine Natural Killer cells during pregnancy

GSE283336 Mus musculus (mouse) RNA-seq (gene expression) 37 samples Submitted 2024/12/03 Platform GPL19057
At a glance

RNA-seq (gene expression) · mouse · 37 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
37 samples
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
Kir6.1, a component of an ATP-sensitive potassium channel, regulates natural killer cell developmentFrontiers in immunology · 2024
Summary (written by the submitters)
Uterine natural killer (uNK) cells regulate vascular changes crucial for placental function and fetal growth. The functional capacity of uNK cells is shaped by their education status. To explore the mechanisms of uNK cell education, we isolated NKG2A+ and Ly49C/I+ educated uNK cells and compared their transcriptomes to uneducated NKG2A-Ly49C/I- uNK cells.
Published in
Kir6.1, a component of an ATP-sensitive potassium channel, regulates natural killer cell development
Samper N, Hardardottir L, Depierreux DM et al. · Frontiers in immunology 2024 · PMID 39687626 · doi:10.3389/fimmu.2024.1490250
This dataset
Download · which file do I need?

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.

1 · Just have a look

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.

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE283336_RAW.tar (it can run to tens of gigabytes).

3 · Start from the raw reads

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 PRJNA1193465 and SRA study SRP548955. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 37 more — browse all 37 samples with per-sample file links →

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