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Mycobacterium tuberculosis induced interferon pathways distinguish responses of Human Alveolar Macrophages from Monocyte-Derived Macrophages

GSE236156 Homo sapiens (human) RNA-seq (gene expression) 55 samples Submitted 2024/03/20 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 55 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
Homo sapiens (human)
Samples
55 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
Epigenetic programming of host lipid metabolism associates with resistance to TST/IGRA conversion after exposure to Mycobacterium tuberculosisbioRxiv : the preprint server for biology · 2024
Summary (written by the submitters)
Alveolar macrophages (AMs) and recruited monocyte-derived macrophages (MDMs) mediate early lung immune responses to Mycobacterium tuberculosis (Mtb). Using paired human AMs and MDMs from 6 healthy volunteers, we investigated transcriptional profiles in responses to Mtb. We found 681 genes that were Mtb-dependent in AMs compared to MDMs, 107 that were induced in both cell types but in different directions, and 4538 that were Mtb-dependent in MDMs but not AMs (FDR < 0.05).
Read the full summary ↓
We found that IFNA Response and IFNG Response were the top two gene sets selectively induced in Mtb-infected AM. Thus, a second experiment utilized MDMs treated with IFNA1, IFNA8, IFNE, or IFNL1 found that IFNA8 modulated Mtb-induced pro-inflammatory cytokines and, compared to other interferons,stimulated unique transcriptional profiles.
Published in
Epigenetic programming of host lipid metabolism associates with resistance to TST/IGRA conversion after exposure to Mycobacterium tuberculosis
Dill-McFarland KA, Simmons JD, Peterson GJ et al. · bioRxiv : the preprint server for biology 2024 · PMID 38464296 · doi:10.1101/2024.02.27.582348
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 GSE236156_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 PRJNA989153 and SRA study SRP446591. Searching any of these in the dataset finder brings you back here.

Samples in this study

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