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Systems approach identifies monocyte imbalance in symptomatic and asymptomatic P. vivax malaria

GSE273483 Homo sapiens (human) RNA-seq (gene expression) 32 samples Submitted 2025/08/20 Platform GPL18573
At a glance

RNA-seq (gene expression) · human · 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
Homo sapiens (human)
Samples
32 samples: 12 × HC vs 11 × AM vs 9 × SMGroups 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
Systems approach identifies monocyte imbalance in symptomatic and asymptomatic P. vivax malariaMolecular systems biology · 2025
Summary (written by the submitters)
Although asymptomatic malaria was historically perceived as innocuous, emerging evidence revealed an immunosuppressive signature induced by asymptomatic Plasmodium falciparum infections. To examine if a similar process occurs in Plasmodium vivax malaria, we pursued a systems approach, integrating transcriptional profiling together with previously reported and novel mass cytometry phenotypes from individuals with symptomatic and asymptomatic P.
Read the full summary ↓
vivax malaria. Symptomatic P. vivax malaria featured upregulation of anti-inflammatory pathways and checkpoint receptors. A profound downregulation of transcripts with roles in monocyte function was observed in symptomatic P. vivax malaria. This reduction in monocyte transcriptional activity was accompanied by a significant depletion of CCR2+CXCR4+ classical monocytes in symptomatic individuals. Despite allowing transcriptional profiles supporting T-cell differentiation, dysregulation of genes associated with monocyte activation and the inflammasome was also evident in individuals carrying P. vivax asymptomatic infections. Our results identify monocyte dysregulation as a key feature of the response to P. vivax malaria and support the concept that asymptomatic infection is not innocuous and might not support all immune processes required to eliminate parasitemia or efficiently respond to vaccination.
Published in
Systems approach identifies monocyte imbalance in symptomatic and asymptomatic P. vivax malaria
Studniberg SI, Bafit M, Ioannidis LJ et al. · Molecular systems biology 2025 · PMID 40830592 · doi:10.1038/s44320-025-00135-z
This dataset
Open GSE273483 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 GSE273483_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 PRJNA1142002. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40830592) ↗
Study design
12 × HC vs 11 × AM vs 9 × SM

Supports a between-group comparison across 32 samples.

How we read this: 3 replicated groups read from 32 sample titles; they account for 32 of them. 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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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.