Self and parasite-derived peptides selected upon DERAA-bearing HLA-DRB1 alleles activate CD4+ T cells from Chagas cardiomyopathy patients and are associated with ventricular dysfunction
Single-cell RNA-seq · human · 16 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
- Organism
- Homo sapiens (human)
- Samples
- 16 samples: 16 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.
- Paper
- Self and parasite-derived peptides selected upon DERAA-bearing HLA-DRB1 alleles activate CD4+ T cells from Chagas cardiomyopathy patients and are associated with ventricular dysfunctionFrontiers in immunology · 2025
Read the full summary ↓
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.
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.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE295194_RAW.tar (it can run to tens of gigabytes).
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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.
Also filed as BioProject PRJNA1253681 and SRA study SRP580224. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 16 sample titles: 16 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.
- GSM8943451 PBMC, CCC1 clinical form
- GSM8943452 PBMC, CCC2 clinical form
- GSM8943453 PBMC, CCC3 clinical form
- GSM8943454 PBMC, IND1 clinical form
- GSM8943455 PBMC, CCC4 clinical form
- GSM8943456 PBMC, CCC5 clinical form
- GSM8943457 PBMC, CCC6 clinical form
- GSM8943458 PBMC, IND2 clinical form
- GSM8943459 PBMC, CCC7 clinical form
- GSM8943460 PBMC, CCC8 clinical form
- GSM8943461 PBMC, CCC9 clinical form
- GSM8943462 PBMC, IND3 clinical form
- GSM8943463 PBMC, CCC10 clinical form
- GSM8943464 PBMC, CCC11 clinical form
- GSM8943465 PBMC, CCC12 clinical form
- GSM8943466 PBMC, CCC13 clinical form
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- GSE292067 Human single nuclear RNA sequencing identifies CD47 as a therapeutic target for doxorubicin-induced cardiomyopathy 25 samples shares cd4, cardiomyopathy
- GSE298578 Single cell RNA profiling of blood CD4+ T cells identifies distinct helper and dysfunctional regulatory clusters in children with SLE (5' PBMC validation dataset) 14 samples shares cd4, dysfunction
- GSE263297 Diabetic ischaemic cardiomyopathy: Characterising the left ventricular myocardial molecular profile in advanced human heart failure 21 samples shares cardiomyopathy, ventricular
- GSE191120 Next Generation Sequencing Facilitates Quantitative Analysis of Hypertrophic Cardiomyopathy/Healthy control Left Ventricular Transcriptomes 10 samples shares cardiomyopathy, ventricular
- GSE267774 Specific CD4+ T cell phenotypes associate with bacterial control in people who ‘resist’ infection with Mycobacterium tuberculosis 3076 samples shares cd4
- GSE242232 Autoantigen-specific CD4+ T cells acquire an exhausted phenotype and persist in human antigen-specific autoimmune diseases 928 samples shares cd4
- GSE314342 Genome-scale perturb-seq in primary human CD4+ T cells reveals genes regulating T cell programs and human immune traits. 577 samples shares cd4
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.