Single cell RNAseq analysis of PBMCs isolated from healthy adults subjeccted to sleep restriction
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: 8 conditions, mostly with about 4 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
- Myocardial infarction augments sleep to limit cardiac inflammation and damageNature · 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 GSE275071_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 PRJNA1149055 and SRA study SRP526919. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 32 samples.
How we read this: 8 replicated groups read from 32 sample titles; they account for 32 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.
- GSM8465156 PBMC, habitual sleep, participant 1, GEM well/lane 1 PBMC, habitual sleep, p…
- GSM8465157 PBMC, habitual sleep, participant 2, GEM well/lane 1 PBMC, habitual sleep, p…
- GSM8465158 PBMC, habitual sleep, participant 3, GEM well/lane 1 PBMC, habitual sleep, p…
- GSM8465159 PBMC, habitual sleep, participant 4, GEM well/lane 1 PBMC, habitual sleep, p…
- GSM8465160 PBMC, habitual sleep, participant 1, GEM well/lane 2 PBMC, habitual sleep, p…
- GSM8465161 PBMC, habitual sleep, participant 2, GEM well/lane 2 PBMC, habitual sleep, p…
- GSM8465162 PBMC, habitual sleep, participant 3, GEM well/lane 2 PBMC, habitual sleep, p…
- GSM8465163 PBMC, habitual sleep, participant 4, GEM well/lane 2 PBMC, habitual sleep, p…
- GSM8465164 PBMC, habitual sleep, participant 1, GEM well/lane 3 PBMC, habitual sleep, p…
- GSM8465165 PBMC, habitual sleep, participant 2, GEM well/lane 3 PBMC, habitual sleep, p…
- GSM8465166 PBMC, habitual sleep, participant 3, GEM well/lane 3 PBMC, habitual sleep, p…
- GSM8465167 PBMC, habitual sleep, participant 4, GEM well/lane 3 PBMC, habitual sleep, p…
- GSM8465168 PBMC, habitual sleep, participant 1, GEM well/lane 4 PBMC, habitual sleep, p…
- GSM8465169 PBMC, habitual sleep, participant 2, GEM well/lane 4 PBMC, habitual sleep, p…
- GSM8465170 PBMC, habitual sleep, participant 3, GEM well/lane 4 PBMC, habitual sleep, p…
- GSM8465171 PBMC, habitual sleep, participant 4, GEM well/lane 4 PBMC, habitual sleep, p…
- GSM8465172 PBMC, sleep restriction, participant 5, GEM well/lane 1 PBMC, sleep restriction…
- GSM8465173 PBMC, sleep restriction, participant 6, GEM well/lane 1 PBMC, sleep restriction…
- GSM8465174 PBMC, sleep restriction, participant 7, GEM well/lane 1 PBMC, sleep restriction…
- GSM8465175 PBMC, sleep restriction, participant 8, GEM well/lane 1 PBMC, sleep restriction…
- GSM8465176 PBMC, sleep restriction, participant 5, GEM well/lane 2 PBMC, sleep restriction…
- GSM8465177 PBMC, sleep restriction, participant 6, GEM well/lane 2 PBMC, sleep restriction…
- GSM8465178 PBMC, sleep restriction, participant 7, GEM well/lane 2 PBMC, sleep restriction…
- GSM8465179 PBMC, sleep restriction, participant 8, GEM well/lane 2 PBMC, sleep restriction…
- GSM8465180 PBMC, sleep restriction, participant 5, GEM well/lane 3 PBMC, sleep restriction…
- GSM8465181 PBMC, sleep restriction, participant 6, GEM well/lane 3 PBMC, sleep restriction…
- GSM8465182 PBMC, sleep restriction, participant 7, GEM well/lane 3 PBMC, sleep restriction…
- GSM8465183 PBMC, sleep restriction, participant 8, GEM well/lane 3 PBMC, sleep restriction…
- GSM8465184 PBMC, sleep restriction, participant 5, GEM well/lane 4 PBMC, sleep restriction…
- GSM8465185 PBMC, sleep restriction, participant 6, GEM well/lane 4 PBMC, sleep restriction…
- GSM8465186 PBMC, sleep restriction, participant 7, GEM well/lane 4 PBMC, sleep restriction…
- GSM8465187 PBMC, sleep restriction, participant 8, GEM well/lane 4 PBMC, sleep restriction…
- GSE309422 RNAseq analysis of human neutrophil mRNA from adults with SLE and age-matched healthy controls 21 samples shares healthy, adults
- GSE338655 Bulk RNAseq of sorted Treg cells from a single ascending dose clinical trial in healthy adults of IL-2 mutein MK-6194 (formerly known as PT-101) 97 samples shares healthy, adults
- GSE266852 Comparison of differential gene expression in blood PBMCs from healthy controls, patients with rheumatoid arthritis,and patients with lupus using single-cell transcriptome sequencing analysis. 10 samples shares healthy, pbmcs
- GSE263838 The interactive effect of sustained sleep restriction and resistance exercise on skeletal muscle transcriptomics in young females 38 samples shares restriction, sleep
- GSE268210 Single-cell analysis of human PBMCs in healthy and type 2 diabetes populations: Dysregulated immune networks in type 2 diabetes unveiled through single-cell profiling 30 samples shares healthy, pbmcs
- GSE297547 Single-cell RNA sequencing of PBMCs from patients with myasthenia gravis and healthy controls 25 samples shares healthy, pbmcs
- GSE279480 Longitudinally stable T cell and innate immune activity distinguish healthy adult immunotypes I 1021 samples shares healthy
- GSE279552 Longitudinally stable T cell and innate immune activity distinguish healthy adult immunotypes [II] 864 samples shares healthy
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.