← BioTransfer GEO Dataset Finder
GEO series

Immune and Repair Mechanisms Underlying Congenital Chagas

GSE311812 Homo sapiens (human) RNA-seq (gene expression) 46 samples Submitted 2026/03/12 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 46 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
46 samples: 6 conditions, mostly with about 7 replicates eachGroups 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
Maternal Trypanosoma cruzi infection is associated with significant placental remodeling regardless of vertical transmissionbioRxiv : the preprint server for biology · 2026
Summary (written by the submitters)
In this study, we conducted integrative high-throughput analyses of peripheral blood and placental tissue from naturally infected patients in Bolivia, the country with the highest prevalence of Chagas disease and, consequently, the population with the greatest potential for congenital transmission worldwide. We compared T. cruzi-infected and uninfected patients to characterize parasite-associated alterations.
Read the full summary ↓
Infected mothers were further classified as transmitters or non-transmitters based on the infant’s infection status, determined by serological and molecular tests. Transmitter and non-transmitter mothers were compared to understand the molecular mechanism associated with congenital transmission risk.
Published in
Maternal Trypanosoma cruzi infection is associated with significant placental remodeling regardless of vertical transmission
Gutierrez Guarnizo SA, So J, Duque C et al. · bioRxiv : the preprint server for biology 2026 · PMID 41648170 · doi:10.64898/2026.01.13.699142
This dataset
Open GSE311812 in finder → Find more human 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 GSE311812_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 PRJNA1370941 and SRA study SRP649749. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41648170) ↗
Study design
6 conditions, mostly with about 7 replicates each
Blood_Uninfected_mothe ×11 Placenta_Uninfected_mothe ×9 Blood_Non_transmitter_mothe ×7 Placenta_Transmitter_mothe ×7 Blood_Transmitter_mothe ×6 Placenta_Non.transmitter_mothe ×4 Visium_placenta_non_transmitte ×1 Visium_placenta_uninfected ×1

Supports a between-group comparison across 44 samples.

How we read this: 6 replicated groups read from 46 sample titles; they account for 44 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

+ 6 more — browse all 46 samples with per-sample file links →

Datasets on a similar topic

Search all human 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.