Mapping the unicellular transcriptome of the ascending thoracic aorta to changes in mechanosensing and mechanoadaptation during aging
RNA-seq (gene expression) · mouse · 16 samples
- What it is
- RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
- Organism
- Mus musculus (mouse)
- Samples
- 16 samples: 4 × Cite-seq, Young ,HTO vs 4 × Cite-seq, Young ,GEX vs 4 × Cite-seq, old ,HTO vs 4 × Cite-seq, old ,GEXGroups 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
- Mapping the unicellular transcriptome of the ascending thoracic aorta to changes in mechanosensing and mechanoadaptation during agingAging cell · 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 GSE334490_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: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.
Also filed as BioProject PRJNA1475317 and SRA study SRP706413. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 16 samples.
How we read this: 4 replicated groups read from 16 sample titles; they account for 16 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.
- GSM9783630 Cite-seq, Young ,HTO 1 Cite-seq, Young ,HTO
- GSM9783632 Cite-seq, Young ,HTO 2 Cite-seq, Young ,HTO
- GSM9783634 Cite-seq, Young ,HTO 3 Cite-seq, Young ,HTO
- GSM9783636 Cite-seq, Young ,HTO 4 Cite-seq, Young ,HTO
- GSM9783637 Cite-seq, Young ,GEX 1 Cite-seq, Young ,GEX
- GSM9783639 Cite-seq, Young ,GEX 2 Cite-seq, Young ,GEX
- GSM9783641 Cite-seq, Young ,GEX 3 Cite-seq, Young ,GEX
- GSM9783643 Cite-seq, Young ,GEX 4 Cite-seq, Young ,GEX
- GSM9783727 Cite-seq, old ,HTO 1 Cite-seq, old ,HTO
- GSM9783728 Cite-seq, old ,HTO 2 Cite-seq, old ,HTO
- GSM9783729 Cite-seq, old ,HTO 3 Cite-seq, old ,HTO
- GSM9783730 Cite-seq, old ,HTO 4 Cite-seq, old ,HTO
- GSM9783731 Cite-seq, old ,GEX 1 Cite-seq, old ,GEX
- GSM9783732 Cite-seq, old ,GEX 2 Cite-seq, old ,GEX
- GSM9783733 Cite-seq, old ,GEX 3 Cite-seq, old ,GEX
- GSM9783734 Cite-seq, old ,GEX 4 Cite-seq, old ,GEX
- GSE334216 Mapping the unicellular transcriptome of the ascending thoracic aorta to changes in mechanosensing and mechanoadaptation during aging [young_arch CITE-seq] 8 samples shares mechanoadaptation, mechanosensing, unicellular, ascending, thoracic, mapping, changes, aorta
- GSE334220 Mapping the unicellular transcriptome of the ascending thoracic aorta to changes in mechanosensing and mechanoadaptation during aging [old_arch CITE-seq] 8 samples shares mechanoadaptation, mechanosensing, unicellular, ascending, thoracic, mapping, changes, aorta
- GSE329247 SMART-seq profiling of the ascending aorta and aortic arch from male and female Wnt1-Cre;Rosa26-mTmG mice 4 samples shares ascending, aorta
- GSE275132 Smooth Muscle Cell Populations of Differing Embryonic Origins in the Ascending Aorta Exhibit Minor Differences in Angiotensin II-driven Transcriptional Alterations in Mice 4 samples shares ascending, aorta
- GSE329905 snRNA-seq profiling of the ascending aorta and aortic arch from male and female Wnt1-Cre;Rosa26-mTmG mice 2 samples shares ascending, aorta
- GSE241761 Molecular and functional profiling of cell diversity and identity in the lateral superior olive, an auditory brainstem center with ascending and descending projections 96 samples shares ascending
- GSE318731 Deep Cellular and Spatial Profiling of the Mouse Spinal Cord Reveals Sex-Specific Neuron Types and the Ascending Projection Neuron Repertoire 72 samples shares ascending
- GSE287991 Gasdermin D deficiency attenuates development of ascending aortic dissections in a novel mouse model 32 samples shares ascending
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.