Vascular and perivascular cell profiling reveals the molecular and cellular bases of blood-brain barrier heterogeneity [scRNA-Seq]
Single-cell RNA-seq · mouse · 52 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
- Organism
- Mus musculus (mouse)
- Samples
- 52 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
- Characteristics of blood-brain barrier heterogeneity between brain regions revealed by profiling vascular and perivascular cellsNature neuroscience · 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 GSE160519_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 PRJNA673433 and SRA study SRP290179. 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.
+ 52 more — browse all 52 samples with per-sample file links →
- GSE248272 Therapeutically targeting perivascular macrophage effector function improves CD8+ T-cell infiltration and response to chemotherapeutic drugs in cancer 30 samples shares perivascular, vascular
- GSE199288 Perivascular fibrosis is mediated by a KLF10-IL-9 signaling axis in CD4+ T cells 27 samples shares perivascular, vascular
- GSE220675 Kidney Single-Cell Atlas Reveals Macrophage Heterogeneity in Progression and Regression of Cisplatin Induced AKI [scRNA-seq] 11 samples shares heterogeneity, scrna-seq
- GSE267592 Microglia are not necessary for maintenance of blood-brain barrier properties in health, but PLX5622 alters brain endothelial cholesterol metabolism (Brain Endo Bulk Seq) 10 samples shares blood-brain, barrier
- GSE314515 Static Magnetic Fields Exposure Allievates Liver Injury via Promoting Ca 2+ Influx and Cellular Respiration [scRNA-Seq] 8 samples shares scrna-seq, cellular
- GSE321762 Vascular smooth muscle cell state trajectories mediate molecular mechanisms of coronary disease risk [scRNA-seq and scATAC-seq] 54 samples shares scrna-seq, vascular
- GSE241770 ACSS2 mediates an epigenetic pathway to regulate maternal Beta-cell adaptation and progression of gestational diabetes (scRNA-Seq) 7899 samples shares scrna-seq
- GSE264105 Plate-based scRNA-seq of plasma-positive microglia and plasma-negative microglia in young mice 1111 samples shares scrna-seq
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.