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Identification of Myc-dependent and -independent Notch2 signatures in marginal zone B cells.

GSE274989 Mus musculus (mouse) RNA-seq (gene expression) 32 samples Submitted 2024/10/18 Platform GPL19057
At a glance

RNA-seq (gene expression) · mouse · 32 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
32 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
Splenic fibroblasts control marginal zone B cell movement and function via two distinct Notch2-dependent regulatory programsImmunity · 2025
Summary (written by the submitters)
Marginal zone (MZ) B cells leverage Notch2 signals to attain rapid differentiation responses and positional cues with in the spenic environment. While it is known that a major player in Notch2 signaling in MZ B cells is the proto-oncogene Myc, it is not clear to what extent MZ B cells use Notch2 signals in Myc-independent manner. In this study we conditinally and inducibly deleted Myc in mature B cells and then used in vivo delivery of anti-Notch2 antibodies to separated Myc-dependent and -independent Notch2 signaling in MZ B cells.
Published in
Splenic fibroblasts control marginal zone B cell movement and function via two distinct Notch2-dependent regulatory programs
Allman A, Gaudette BT, Kelly S et al. · Immunity 2025 · PMID 39731910 · doi:10.1016/j.immuni.2024.12.003
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 GSE274989_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 PRJNA1148917 and SRA study SRP526817. Searching any of these in the dataset finder brings you back here.

Samples in this study

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