GEO series

Hormonal rewiring of immunity upholds pathogen control and systemic nutrient homeostasis during dietary restriction

GSE312635 Mus musculus (mouse) RNA-seq (gene expression) 16 samples Submitted 2025/12/05 Platform GPL19057

At a glance

RNA-seq (gene expression) · mouse · 16 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: 16 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: Hormonal rewiring of immunity during dietary restriction ensures host defense and systemic glucose conservationImmunity · 2026

Summary (written by the submitters)

Food shortages and infectious diseases were constant threats throughout mammalian evolution and often occurred simultaneously. When food availability is reduced, it is unclear how the host adapts to fuel energy-demanding immune processes while preventing malnutrition. In the context of dietary restriction (DR), we found that glucocorticoids (GCs) are increased and promoted naïve T cell homing to the bone marrow niche, a site that supported their survival at steady-state.

Read the full summary ↓

In response to a primary infection, DR-induced GCs dramatically rewired innate and adaptive immunity to simultaneously promote pathogen control and prevent hypoglycemia. This was achieved by dampening neutrophil glycolytic metabolism, which paradoxically enhanced their survival, function, and capacity to control pathogens. In parallel to enhancing neutrophils, DR-induced GCs restrained the generation of pathogen-specific effector T cells. This was essential for preventing hypoglycemia while combating a primary infection during DR. Although effector T cell responses were dampened, DR-induced GCs enriched for memory precursor effector cells to optimize memory T cell formation. Altogether, our work reveals a fundamental host adaptation strategy that upholds immediate and long-term pathogen control while maintaining systemic nutrient homeostasis in the setting of reduced food availability. These results redefine GCs as dominant optimizers of organismal fitness that align immunity and metabolic physiology with the nutritional status of the host.

Published in

Hormonal rewiring of immunity during dietary restriction ensures host defense and systemic glucose conservation

Menezes-Silva L, Jeong M, Carr C et al. · Immunity 2026 · PMID 41672072 · doi:10.1016/j.immuni.2026.01.003

This dataset

Open GSE312635 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 GSE312635_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 PRJNA1375562 and SRA study SRP651695. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41672072) ↗

Samples in this study

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+ 16 more — browse all 16 samples with per-sample file links →

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