Fetal-derived activated CD83+ γδ T cells expand in preterm infants with sepsis.
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
- γδ T cell profiling in a cohort of preterm infants reveals elevated frequencies of CD83+ γδ T cells in sepsisThe Journal of experimental medicine · 2024
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 GSE245131_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 PRJNA1026987 and SRA study SRP465795. 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.
- GSM7837238 pbmc,39,abcd#
- GSM7837239 pbmc,40,bcd#
- GSM7837240 pbmc,39,abcd#sur
- GSM7837241 pbmc,40,bcd#sur
- GSM7837242 pbmc,39,abcd#tcr
- GSM7837243 pbmc,40,bcd#tcr
- GSM7927978 pbmc,18a_GEX_GD_B
- GSM7927979 pbmc,18b_GEX_GD_B
- GSM7927980 pbmc,18c_GEX_GD_B
- GSM7927981 pbmc,18d_GEX_GD_B
- GSM7927982 pbmc,19a_GEX_GD_B
- GSM7927983 pbmc,19b_GEX_GD_B
- GSM7927984 pbmc,19c_GEX_GD_B
- GSM7927985 pbmc,19d_GEX_GD_B
- GSM7927986 pbmc,18a_TCR
- GSM7927987 pbmc,18b_TCR
- GSM7927988 pbmc,18c_TCR
- GSM7927989 pbmc,18d_TCR
- GSM7927990 pbmc,19a_TCR
- GSM7927991 pbmc,19b_TCR
- GSM7927992 pbmc,19c_TCR
- GSM7927993 pbmc,19d_TCR
- GSM7927994 pbmc,41b_GEX_GD
- GSM7927995 pbmc,41c_GEX_GD_B
- GSM7927996 pbmc,41d_GEX_GD_B
- GSM7927997 pbmc,42b_GEX_GD
- GSM7927998 pbmc,42c_GEX_GD
- GSM7927999 pbmc,41b_TCR
- GSM7928000 pbmc,41c_TCR
- GSM7928001 pbmc,41d_TCR
- GSM7928002 pbmc,42b_TCR
- GSM7928003 pbmc,42c_TCR
- GSE196134 Immune response to RSV in preterm and term infants 149 samples shares preterm, infants
- GSE320139 The timing of antenatal glucocorticoids determines the receptor sensitivity in preterm infants 47 samples shares preterm, infants
- GSE285433 The new cohort of EMT genes are activated by benzo(a)pyrene and/or SATB1 during the malignant transformation of breast epithelial cells 48 samples shares activated
- GSE307970 A Unique Pediatric Activated T-cell Acute Liver Failure Endotype Characterized by Perforin and Interferon Gamma Expressing Circulating CD8 Tissue Resident Memory T-cells. 10 samples shares activated
- GSE266889 SMART-seq2 of activated human plasmacytoid dendritic cells 383 samples shares activated
- GSE22886 Expression profiles from a variety of resting and activated human immune cells 228 samples shares activated
- GSE342939 Senescent activated naive B cells promote anti-citrullinated antigen T cell responses and the transition to clinical rheumatoid arthritis 78 samples shares activated
- GSE298020 PU.1-Activated Genomic Regions Define Low-risk MDS Subsets Characterized by Immune Dysregulation and Disease Progression. 493 samples shares activated
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.