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Trained immunity is facilitated by T cell-induced CD40-TRAF6 signaling [ChIP-seq]

GSE228182 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 18 samples Submitted 2024/08/26 Platform GPL18573
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 18 samples

What it is
ChIP-seq / ATAC-seq (genome binding and open chromatin)Where proteins bind the genome, or which regions are open and active.
Organism
Homo sapiens (human)
Samples
18 samples: 18 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
Trained immunity is regulated by T cell-induced CD40-TRAF6 signalingCell reports · 2024
Summary (written by the submitters)
Trained immunity refers to epigenetic and metabolic changes in innate immune cells following exposure to inflammatory signals, leading to a heightened response to secondary stimuli. Although this innate immune memory contributes to host defense against infections, it can also have maladaptive consequences in a broad range of immune-driven conditions.
Read the full summary ↓
During the past decade, we have gained an increasingly better understanding of the molecular regulation of trained immunity, but the role of adaptive immune cells in modulation of trained immunity remains largely unknown. Here, we show that T cell interactions contribute to the induction of trained immunity in monocytes and that this mediated by CD40-TRAF6 signaling. Specifically, we found that inhibiting CD40-TRAF6 signaling prevents the induction of functional, transcriptomic, metabolic and epigenetic changes associated with trained immunity. Apart from detailed in vitro studies, we inhibited CD40-TRAF6 signaling in vivo in myeloid cells in a murine heart transplantation model which resulted in prolonged allograft survival. When the animals were additionally treated with costimulatory blockade by CTLA4-Ig, we observed immunological tolerance to the graft. Combined, our study reveals that trained immunity induction is regulated by CD40-TRAF6 signaling between myeloid and adaptive immune cells, and that this signaling can be efficiently leveraged for therapeutic purposes.
Published in
Trained immunity is regulated by T cell-induced CD40-TRAF6 signaling
Jacobs MME, Maas RJF, Jonkman I et al. · Cell reports 2024 · PMID 39178113 · doi:10.1016/j.celrep.2024.114664
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 GSE228182_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: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.

Also filed as BioProject PRJNA948446 and SRA study SRP429158. Searching any of these in the dataset finder brings you back here.

Study design
18 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 18 sample titles: 18 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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