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RNA binding protein Pcbp1 maintains mitochondria integrity to promote antibody production and germinal center response[RNA-seq]

GSE275669 Mus musculus (mouse) RNA-seq (gene expression) 10 samples Submitted 2024/08/31 Platform GPL13112
At a glance

RNA-seq (gene expression) · mouse · 10 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
10 samples: 10 samples, each with a distinct title — no replicated groupsGroups 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.
Summary (written by the submitters)
B cells are crucial for adaptive immunity, orchestrating humoral responses by producing antibodies essential for pathogen clearance. Here, we show that Poly(rC) binding protein 1 (Pcbp1), a multifunctional RNA-binding protein, is a key regulator of antibody production in B cells. Pcbp1 deficiency in B cells resulted in significant reductions in IgM expression at steady state and compromised differentiation of germinal center B cells and production of high-affinity antibodies upon immunization.
Read the full summary ↓
These effects result from compromised mitochondrial integrity in Pcbp1-deficient B cells, including compromised mitochondrial electron transport chain (ETC) complex I and increased mitochondrial ROS production. Blocking mitochondrial ROS production rescued IgM production and improved germinal center responses caused by Pcbp1 deficiency. Mechanistically, Pcbp1 promotes the expression of Fdxr, a critical component of ETC complex I, via binding to its 3’UTR. Overall, our findings reveal a novel role for Pcbp1 in regulating mitochondrial function, protein synthesis, and antibody responses in B cells, providing novel insight into post-transcriptional regulation and mitochondrial functions.
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 GSE275669_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 PRJNA1152554 and SRA study SRP528669. Searching any of these in the dataset finder brings you back here.

Study design
10 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 10 sample titles: 10 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.

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.