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Enterococcus faecalis-derived lactate mediated suppression of NF-κB and ERK pathways in macrophages to promote polymicrobial wound infection

GSE188916 Mus musculus (mouse) RNA-seq (gene expression) 24 samples Submitted 2024/11/01 Platform GPL17021
At a glance

RNA-seq (gene expression) · mouse · 24 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
24 samples: 24 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.
Summary (written by the submitters)
Enterococcus faecalis, a member of the human gastrointestinal microbiota, is a Gram-positive, opportunistic pathogen associated with hospital-acquired wound, bloodstream, and urinary tract infections. E. faecalis can suppress or evade immune-mediated clearance by macrophages to promote persistent infection, although the exact mechanisms and bacterial factor(s) involved are not well-defined.
Read the full summary ↓
In this study, we examined E. faecalis factor(s) involved in suppressing macrophage activation, as well the macrophage pathways modulated by E. faecalis to suppress activation. We observed that E. faecalis prevents ERK and p65 phosphorylation and reduces MyD88 expression leading to a reduction in NF-κB activity. We identified E. faecalis lactate dehydrogenase, which is important for lactic acid production by E. faecalis, to be necessary for macrophage suppression and demonstrated that E. faecalis lactate dehydrogenase-mediated immune suppression promotes E. coli survival during polymicrobial wound infection. Taken together, these results suggest that that E. faecalis-derived lactic acid is involved in macrophage subversion and may help to promote the virulence of co-infecting bacteria.
This dataset
Open GSE188916 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 GSE188916_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 PRJNA780609 and SRA study SRP346268. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
24 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 24 sample titles: 24 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

Search all mouse RNA-seq datasets in GEO →

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Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.