Infants with perinatal HIV from the TARA cohort, pre-ART
Single-cell RNA-seq · human · 32 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
- 32 samples: 32 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
- A role for Fas/FasL-dependent NK-mediated cytotoxicity in infants with perinatal HIViScience · 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 GSE306003_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 PRJNA1308862 and SRA study SRP610845. 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 32 sample titles: 32 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.
- GSM9191462 CP011, 2 months, PBMC, perinatal HIV (pHIV), BCR
- GSM9191463 CP011, 2 months, PBMC, perinatal HIV (pHIV), Feature Barcode/Antibody Derived Tag (FB/ADT)
- GSM9191464 CP011, 2 months, PBMC, perinatal HIV (pHIV), Gene Expression (GEX)
- GSM9191465 CP011, 2 months, PBMC, perinatal HIV (pHIV), TCR
- GSM9191466 CP013, 1 month, PBMC, perinatal HIV (pHIV), BCR
- GSM9191467 CP013, 1 month, PBMC, perinatal HIV (pHIV), Feature Barcode/Antibody Derived Tag (FB/ADT)
- GSM9191468 CP013, 1 month, PBMC, perinatal HIV (pHIV), Gene Expression (GEX)
- GSM9191469 CP013, 1 month, PBMC, perinatal HIV (pHIV), TCR
- GSM9191470 CP016, 2 months, PBMC, perinatal HIV (pHIV), BCR
- GSM9191471 CP016, 2 months, PBMC, perinatal HIV (pHIV), Feature Barcode/Antibody Derived Tag (FB/ADT)
- GSM9191472 CP016, 2 months, PBMC, perinatal HIV (pHIV), Gene Expression (GEX)
- GSM9191473 CP016, 2 months, PBMC, perinatal HIV (pHIV), TCR
- GSM9191474 CP017, 2 months, PBMC, perinatal HIV (pHIV), BCR
- GSM9191475 CP017, 2 months, PBMC, perinatal HIV (pHIV), Feature Barcode/Antibody Derived Tag (FB/ADT)
- GSM9191476 CP017, 2 months, PBMC, perinatal HIV (pHIV), Gene Expression (GEX)
- GSM9191477 CP017, 2 months, PBMC, perinatal HIV (pHIV), TCR
- GSM9191478 CP022, 1 month, PBMC, perinatal HIV (pHIV), BCR
- GSM9191479 CP022, 1 month, PBMC, perinatal HIV (pHIV), Feature Barcode/Antibody Derived Tag (FB/ADT)
- GSM9191480 CP022, 1 month, PBMC, perinatal HIV (pHIV), Gene Expression (GEX)
- GSM9191481 CP022, 1 month, PBMC, perinatal HIV (pHIV), TCR
- GSM9191482 CP042, 1 month, PBMC, perinatal HIV (pHIV), BCR
- GSM9191483 CP042, 1 month, PBMC, perinatal HIV (pHIV), Feature Barcode/Antibody Derived Tag (FB/ADT)
- GSM9191484 CP042, 1 month, PBMC, perinatal HIV (pHIV), Gene Expression (GEX)
- GSM9191485 CP042, 1 month, PBMC, perinatal HIV (pHIV), TCR
- GSM9191486 SA-AH-029, 1 month, PBMC, perinatal HIV (pHIV), BCR
- GSM9191487 SA-AH-029, 1 month, PBMC, perinatal HIV (pHIV), Feature Barcode/Antibody Derived Tag (FB/ADT)
- GSM9191488 SA-AH-029, 1 month, PBMC, perinatal HIV (pHIV), Gene Expression (GEX)
- GSM9191489 SA-AH-029, 1 month, PBMC, perinatal HIV (pHIV), TCR
- GSM9191490 SA-TY-021, 1 month, PBMC, perinatal HIV (pHIV), BCR
- GSM9191491 SA-TY-021, 1 month, PBMC, perinatal HIV (pHIV), Feature Barcode/Antibody Derived Tag (FB/ADT)
- GSM9191492 SA-TY-021, 1 month, PBMC, perinatal HIV (pHIV), Gene Expression (GEX)
- GSM9191493 SA-TY-021, 1 month, PBMC, perinatal HIV (pHIV), TCR
- GSE254645 ACCELERATED CD8+ T CELL MATURATION IN INFANTS WITH PERINATAL HIV INFECTION 28 samples shares hiv, perinatal, infants
- GSE313072 Selective infection and loss of PRDM1+ LN Tfh cells in uncontrolled HIV infection precludes formation of Tfh reservoirs under ART 420 samples shares hiv
- GSE313894 Single cell characterization of the gastrointestinal HIV reservoir reveals heterogeneous cellular phenotypes. 68 samples shares hiv
- GSE266455 hiv-seq reveals global host gene expression differences between hiv-transcribing cells from viremic and suppressed people with hiv 48 samples shares hiv
- GSE319710 Monocytes defined by platelet interactions and oxidative stress signaling underlie HIV-associated atherosclerosis [scRNA-seq] 48 samples shares hiv
- GSE313109 HIV-1 Infection Regulates Gene Expression by Altering Alternative Polyadenylation Through CPSF6 and CPSF5 Delocalization 28 samples shares hiv
- GSE234521 DOGMA-seq of opioid addiction treatment in HIV-1 infected individuals 27 samples shares hiv
- GSE299662 scRNA-seq of Mycobacterium tuberculosis-specific CD4 T cells from Kenyan women with and wihtout HIV and before and after ART initiation following stimulation with Mtb WCL 14 samples shares hiv
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.