scRNA-seq analyses of HTO-tagged human peripheral blood mononuclear cells collected at the ART timepoint during HIV-1 disease
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.
- Organism
- Homo sapiens (human)
- Samples
- 32 samples
- 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
- Single-cell analyses identify monocyte gene expression profiles that influence HIV-1 reservoir size in acutely treated cohortsNature communications · 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 GSE256089_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 PRJNA1078068 and SRA study SRP490396. Searching any of these in the dataset finder brings you back here.
The sample list for this study is not cached yet. Press Load samples and it will be fetched from NCBI.
+ 32 more — browse all 32 samples with per-sample file links →
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- GSE310095 Whole Blood Transcriptomics Differentiates Circulating Gene Expression Between Coronary Artery Disease and Peripheral Artery Disease 71 samples shares art, peripheral
- GSE289574 Multi-omics Analysis of Skeletal Muscle Identifies Dysregulation of Hypoxia-Induced Genes in Peripheral Artery Disease [RNA-seq] 40 samples shares art, peripheral
- GSE327707 Sorted bulk RNA-seq profiling of human peripheral blood mononuclear cell populations across diverse in vitro immune stimuli 150 samples shares mononuclear, peripheral
- GSE326415 Paired Transcriptomic Profiling of Airspace and Peripheral Blood Mononuclear Cells in Severe ARDS 63 samples shares mononuclear, peripheral
- GSE267718 Single cell RNA sequencing (scRNAseq) of urine-derived cells, peripheral blood mononuclear (PBMC), and tumor cells from bladder cancer patients. 33 samples shares mononuclear, peripheral
- GSE327907 Integrated single‑cell transcriptomic profiling of human peripheral blood mononuclear cells across diverse in vitro immune stimuli 16 samples shares mononuclear, peripheral
- GSE207625 RNA Sequencing Analysis of Peripheral Blood Mononuclear Cells Associated with COVID-19 Deterioration 12 samples shares mononuclear, peripheral
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.