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Age-associated accumulation of B cells promotes macrophage inflammation and inhibits lipolysis in adipose tissue during sepsis

GSE250371 Mus musculus (mouse) RNA-seq (gene expression) 13 samples Submitted 2024/03/18 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 13 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
13 samples: 4 × B2_LPS vs 4 × B2_PBS vs 3 × B1_LPS vs 2 × B1_PBSGroups 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
Age-associated accumulation of B cells promotes macrophage inflammation and inhibits lipolysis in adipose tissue during sepsisCell reports · 2024
Summary (written by the submitters)
Noncanonical lipolysis induced by inflammatory cytokines or toll-like receptor ligands is required for the regulation of inflammation during endotoxemia and sepsis. Canonical lipolysis induced by catecholamines declines during aging, but the extent to which the noncanonical pathway of lipolysis is active during aging remains unknown.
Read the full summary ↓
The immune compartment of visceral white adipose tissue (vWAT) changes during aging, including an expansion of lymphocytes, pro-inflammatory macrophage polarization, and an increase in chronic low-grade inflammation, all of which influence canonical lipolysis in old vWAT. Therefore, we aimed to define the extent to which immune cells from older hosts influence noncanonical lipolysis induced by sepsis. Here we show that models of polymicrobial sepsis and lipopolysaccharide (LPS)-induced endotoxemia induce vWAT lipolysis in young mice but fail to activate lipolytic pathways in vWAT from old mice. Characterization of vWAT B cells revealed an accumulation of dysfunctional B1 B cells and an amplified inflammatory signature induced by LPS in old B1 B cells compared to old B2 B cells. Short term depletion of B2 B cells from old mice and adoptive transfer of peritoneal B cells from old mice into young recipient mice were insufficient to alter LPS-stimulated lipolysis. However, life-long deficiency of B cells increased LPS-stimulated lipolysis, suggesting the suppressive role of B cells may be indirect and requires other cell types. Pro-inflammatory macrophages and NLRP3 inflammasome activation were significantly reduced in the old B cell knockout mice. These data collectively reveal a decline in noncanonical lipolysis in vWAT during aging that is regulated by resident immune cells. Additionally, our study suggests the B cell-macrophage signaling axis may offer new approaches to resolve metabolic dysfunction in aged vWAT and attenuate septic severity in older individuals.
Published in
Age-associated accumulation of B cells promotes macrophage inflammation and inhibits lipolysis in adipose tissue during sepsis
Carey A, Nguyen K, Kandikonda P et al. · Cell reports 2024 · PMID 38492219 · doi:10.1016/j.celrep.2024.113967
This dataset
Open GSE250371 in finder → Find more mouse RNA-seq datasets →
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.

Series matrix ↓
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 GSE250371_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
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.

Raw reads on ENA ↗

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 PRJNA1053616 and SRA study SRP478375. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 38492219) ↗
Study design
4 × B2_LPS vs 4 × B2_PBS vs 3 × B1_LPS vs 2 × B1_PBS

Supports a between-group comparison across 13 samples.

How we read this: 4 replicated groups read from 13 sample titles; they account for 13 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
Datasets on a similar topic

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