Single Cell RNA Sequencing of C57BL6 mouse whole aortas after 8 weeks of L-NAME treatment
Single-cell RNA-seq · mouse · 22 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
- 22 samples: 22 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
- Plasminogen activator inhibitor 1 promotes aortic aging-like pathophysiology in humans and miceThe Journal of clinical investigation · 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 GSE297835_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 PRJNA1266255 and SRA study SRP586896. 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 22 sample titles: 22 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.
- GSM9000733 Het Male 30 8 Week LNAME
- GSM9000734 Het Male 31 8 Week LNAME
- GSM9000735 Het Female 36 8 Week LNAME
- GSM9000736 Het Female 37 8 Week LNAME
- GSM9000737 WT Male 28 8 Week LNAME
- GSM9000738 WT Male 29 8 Week LNAME
- GSM9000739 WT Male 35 8 Week LNAME
- GSM9000740 WT Female 32 8 Week LNAME
- GSM9000741 WT Female 33 8 Week LNAME
- GSM9000742 WT Female 34 8 Week LNAME
- GSM9000743 Het Male 1 8 Week LNAME
- GSM9000744 Het Male 2 8 Week LNAME
- GSM9000745 Het Male 3 8 Week LNAME
- GSM9000746 Het Female 1 8 Week LNAME
- GSM9000747 Het Female 2 8 Week LNAME
- GSM9000748 Het Female 3 8 Week LNAME
- GSM9000749 WT Male 1 8 Week LNAME
- GSM9000750 WT Male 2 8 Week LNAME
- GSM9000751 WT Male 3 8 Week LNAME
- GSM9000752 WT Female 1 8 Week LNAME
- GSM9000753 WT Female 2 8 Week LNAME
- GSM9000754 WT Female 3 8 Week LNAME
- GSE278812 Gene expression profile at single cell level of immune cells from the dura mater of naïve C57BL6/N mice and during different phases of EAE. 10 samples shares c57bl6
- GSE291439 C57BL6 Substrain Differences in Hippocampal-Dependent Learning and Transcriptome 72 samples shares c57bl6
- GSE315893 Characterization of Subchronic Lung and Brain Consequences Caused by Mouse-Adapted SARS-CoV-2 and Influenza A Infection of C57BL6 mice 44 samples shares c57bl6
- GSE306854 Exploring the sex and estrous cycle-dependent differences in microglia response to amyloid-beta pathology in female and male C57BL6/J (WT) and 5xFAD using bulk mRNAseq of isolated microglia. 24 samples shares c57bl6
- GSE226609 Mouse lung tissue RNA-Seq from C57Bl6 wild type and ALOX15 KO mice with and without house dust mite (HDM) exposure. 20 samples shares c57bl6
- GSE342137 Comparison of NK cell transcriptomes between C57BL6 and NOD mouse strains 8 samples shares c57bl6
- GSE249630 Modeling T cell temporal response to cancer immunotherapy rationalize development of combinatorial treatments protocols 1372 samples shares treatment
- GSE281685 Transcription factor occupancy is affected by genetic variation in the white adipose tissue of C57BL6/j and 129S1/SvImJ mice [ChIP-seq] 16 samples shares c57bl6
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.