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RNA expression of human naive B cells either unstimulated or  activated with CD40L in presence or absence of transient Fas engagement

GSE145513 Homo sapiens (human) RNA-seq (gene expression) 12 samples Submitted 2024/03/07 Platform GPL20301
At a glance

RNA-seq (gene expression) · human · 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
Homo sapiens (human)
Samples
12 samples: 3 × Control vs 3 × CD40L vs 3 × CD40L_FasL vs 3 × CD40L_FasL_QVDGroups 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
Non-apoptotic FAS signaling controls mTOR activation and extrafollicular maturation in human B cellsScience immunology · 2024
Summary (written by the submitters)
Fas signaling has been previously associated with induction of gene expression. The goal of this study is to characterize the role of short-term Fas engagement on the transcriptome of activated human B cells.
Published in
Non-apoptotic FAS signaling controls mTOR activation and extrafollicular maturation in human B cells
Staniek J, Kalina T, Andrieux G et al. · Science immunology 2024 · PMID 38215192 · doi:10.1126/sciimmunol.adj5948
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 GSE145513_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 PRJNA607453 and SRA study SRP249980. Searching any of these in the dataset finder brings you back here.

Study design
3 × Control vs 3 × CD40L vs 3 × CD40L_FasL vs 3 × CD40L_FasL_QVD

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.

Samples in this study
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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.