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BHLHE40 regulates myeloid cell polarization through IL-10-dependent and independent mechanisms

GSE265840 Mus musculus (mouse) RNA-seq (gene expression) 27 samples Submitted 2024/07/02 Platform GPL13112
At a glance

RNA-seq (gene expression) · mouse · 27 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
27 samples: 27 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.
Paper
BHLHE40 Regulates Myeloid Cell Polarization through IL-10-Dependent and -Independent MechanismsJournal of immunology (Baltimore, Md. : 1950) · 2024
Summary (written by the submitters)
Better understanding of the host responses to Mycobacterium tuberculosis (Mtb) infections is required to prevent tuberculosis and develop new therapeutic interventions. The host transcription factor BHLHE40 is essential for controlling Mtb infection, in part by repressing Il10 expression, where excess IL-10 contributes to the early susceptibility of Bhlhe40-/- mice to Mtb infection.
Read the full summary ↓
Deletion of Bhlhe40 in lung macrophages and dendritic cells is sufficient to increase the susceptibility of mice to Mtb infection, but how BHLHE40 impacts macrophage and dendritic cell responses to Mtb is unknown. Here we report that BHLHE40 is required in myeloid cells exposed to GM-CSF, an abundant cytokine in the lung, to promote the expression of genes associated with a pro-inflammatory state and better control of Mtb infection. Loss of Bhlhe40 expression in murine bone marrow derived myeloid cells cultured in the presence of GM-CSF results in lower levels of pro-inflammatory associated signaling molecules IL-1b, IL-6, IL-12, TNFα, iNOS, IL-2, KC, and RANTES, as well as higher levels of the anti-inflammatory associated molecules MCP-1 and IL-10 following exposure to heat-killed Mtb. Deletion of Il10 in Bhlhe40-/- myeloid cells restored some, but not all, pro-inflammatory signals, demonstrating that BHLHE40 promotes pro-inflammatory responses via both IL-10-dependent and independent mechanisms. In addition, we show that macrophages and neutrophils within the lungs of Mtb-infected Bhlhe40-/- mice exhibit defects in iNOS production compared to infected WT mice, supporting that BHLHE40 promotes pro-inflammatory responses in innate immune cells, which may contribute to the essential role for BHLHE40 during Mtb infection in vivo.
Published in
BHLHE40 Regulates Myeloid Cell Polarization through IL-10-Dependent and -Independent Mechanisms
Hendrix SV, Mreyoud Y, McNehlan ME et al. · Journal of immunology (Baltimore, Md. : 1950) 2024 · PMID 38683120 · doi:10.4049/jimmunol.2200819
This dataset
Open GSE265840 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 GSE265840_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 PRJNA1104364 and SRA study SRP503917. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 38683120) ↗
Study design
27 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 27 sample titles: 27 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
Datasets on a similar topic

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