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Genome-wide gene expression profiling of macrophages treated with novel 1,2,4-oxadiazole scaffold-based compounds

GSE222412 Homo sapiens (human) RNA-seq (gene expression) 48 samples Submitted 2024/03/04 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 48 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
48 samples: 48 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)
Background: Anti-tuberculosis drugs, mainly developed more than 60 years ago, combined with a poorly effective vaccine, have failed to eradicate tuberculosis. More worryingly, multi-resistant strains of Mycobacterium tuberculosis are constantly emerging. Innovative strategies are thus urgently needed to improve tuberculosis treatment.
Read the full summary ↓
Recently, host-directed therapy (HDT) has emerged as a promising strategy to be used in adjunct with existing or future antibiotics, by improving innate immunity or limiting immunopathology. Here, we evaluated the impact of two host-directed compounds, namely MC3465 and MC3209, on the response of human monocytes-derived macrophages infected with Mycobacterium tuberculosis (MTB). Results: The expression of 181 genes was differentially regulated following MC3465 treatment (p-value < 0.05, log FC ≥ 0.5 and ≤ -0.5) after 4 h, with 53 being upregulated and 128 being downregulated. The expression of more genes was affected after 24h of treatment. 224 genes were upregulated and 652 genes downregulated. (p value < 0.05, log FC ≥ 0.5 and ≤ -0.5). We classified those differentially expressed genes by performing gene-set enrichment analysis using ClueGO cluster analysis. The gene set downregulated by MC3465 at 4 h was significantly enriched for genes associated with chemotaxis and cellular zinc ion homeostasis and cell chemotaxis. At 24 h, most of the downregulated genes belongs to the innate immune response and the cytokine response, with many genes belonging to the type I IFN pathway. Conclusions: Our results indicate that MC3465 alters zinc homeostasis in human macrophages.
This dataset
Open GSE222412 in finder → Find more human 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 GSE222412_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 PRJNA922037 and SRA study SRP416559. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
48 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 48 sample titles: 48 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

+ 8 more — browse all 48 samples with per-sample file links →

Datasets on a similar topic

Search all human RNA-seq datasets in GEO →

Share this dataset

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.