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Transcriptome analysis of long non-coding RNAs in Mycobacterium avium complex-infected macrophages

GSE249460 Mus musculus (mouse) RNA-seq (gene expression) 32 samples Submitted 2024/01/01 Platform GPL19057
At a glance

RNA-seq (gene expression) · mouse · 32 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
32 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.
Summary (written by the submitters)
Mycobacterium avium complex (MAC) is a non-tuberculosis mycobacteria widely distributed throughout environment. Even though the MAC infection is currently increasing in old women and patients with affected immune system, comprehensive analysis of MAC-infected host cell transcriptome, in particular that of long non-coding RNAs (lncRNAs), has scarcely been reported.
Read the full summary ↓
Using in vitro cultured primary mouse bone marrow-derived macrophages (BMDMs) and CAGE technology, we analyzed the transcriptional and kinetic landscape of macrophage genes, with focusing on lncRNAs, during MAC infection. MAC-infected macrophages induced immune/inflammatory response genes and other genes as similar as M1 activation, consistent with previous reports, although Nos2 and Arg1 revealed distinct expression profiles from M1 activation. We identified 31 up-regulated and 30 down-regulated lncRNA promoters corresponding to 18 and 27 lncRNAs, respectively. The up-regulated lncRNAs were clustered into two groups, early and late up-regulated groups, which were predicted to associate with the immune activation and the immune response to infection, respectively. Further, the Ingenuity IPA analysis predicted canonical pathways and upstream transcription regulators associated with differentially expressed lncRNAs. Several differentially expressed lncRNAs that have been reported elsewhere revealed various expressional change by M1 or M2 pre-activation and the following MAC infection. Finally, we showed that expressional change of lncRNAs in MAC-infected BMDMs is predominantly mediated by Tlr2, but there may be other weakly sensing mechanism for MAC infection. Taken together, we identified differentially expressed lncRNAs in MAC-infected BMDMs, which revealed diverse features implying their distinct role in MAC infection and macrophage polarization.
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 GSE249460_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 PRJNA1049322 and SRA study SRP476114. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 32 more — browse all 32 samples with per-sample file links →

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