← BioTransfer GEO Dataset Finder
GEO series

Single-cell Transcriptional Atlas of Murine Collecting Lymphatic Vessels

GSE248658 Mus musculus Expression profiling by high throughput sequencing 6 samples Submitted 2024/11/11 Platform GPL30172
Summary
The muscle cells within the wall of collecting lymphatic vessels exhibit tonic and autonomous phasic contractions, which drive active lymph transport to maintain tissue-fluid homeostasis and support immune surveillance. Damage to the lymphatic muscle cells (LMC) disrupts lymphatic function and is related to various diseases. Despite their importance, knowledge of the transcriptional signatures in LMC and how they relate to lymphatic function in normal and diseases contexts is largely missing. In this study, we have generated to date the most comprehensive transcriptional single-cell atlas—including LMC—of collecting lymphatic vessels in mouse dermis at various ages.
Published in
Aging-induced changes in lymphatic muscle cell transcriptomes are associated with reduced pumping of peripheral collecting lymphatic vessels in mice
Lei PJ, Ruscic KJ, Roh K et al. · Developmental cell 2025 · PMID 39731913 · doi:10.1016/j.devcel.2024.12.010
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE248658_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 6 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA1045531 and SRA study SRP474355. Searching any of these in the dataset finder brings you back here.

Samples in this study

The sample list for this study is not cached yet. Press Sort into groups and it will be fetched from NCBI.

+ 6 more — browse all 6 samples with per-sample file links →

Similar datasets

Search all mouse RNA-seq datasets in GEO →

Share this dataset

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.