ArticleCellular and molecular life sciences : CMLS2025
Single-cell RNA sequencing of the carotid artery and femoral artery of rats exposed to hindlimb unloading.
Article in Cellular and molecular life sciences : CMLS, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Mechanosensing in vascular health and disease.Cellular and molecular life sciences : CMLS · 2026Article
- Early Unloading After ACL Rupture and Prior to Surgical Restabilization in Mice Slows Post-Traumatic Osteoarthritis Progression.Cartilage · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
Abstract
backgroundProlonged spaceflight is known to cause vascular deconditioning and remodeling. Tail suspension, a widely used spaceflight analog, is reported to result in vascular remodeling of rats. However, little is known about the cellular atlas of the heterogeneous cells of CA and FA from hindlimb-unloaded rats.
methodsFirstly, we leveraged scRNA-seq to perform clustering analysis to identify diverse cell populations and sub-clusters within CA and FA from rats subjected to 3 months of hindlimb unloading. The dysregulated genes specific for artery types and cell types in HU group compared to Con were unraveled. Then R package "Cellchat" was used to reveal ligand-receptor cellular communication. At last, the TF network analysis was performed using the SCENIC R package to predict the pivotal TFs in rat artery remodeling induced by hindlimb unloading.
resultsClustering analysis identified ECs, SMCs, fibroblasts, and a spectrum of immune cells, as well as neuronal and stem cells. Notably, an increased percentage of ECs in the CA and a diminished proportion of SMCs in both CA and FA were observed following tail suspension. Intersection of dysregulated genes specific for artery type and cell type after tail suspension revealed several gene sets involved in ECM remodeling, inflammation, vasoconstriction, etc. Fibroblasts, in particular, exhibited the most significant gene expression variability, highlighting their plasticity. Subclustering within ECs, SMCs and fibroblasts revealed specialized subsets engaged in processes such as EndoMT and cell cycle checkpoint regulation. Additionally, enhanced intercellular interactions among major cell types, especially between SMC and fibroblast, underscored the importance of cell communication in vascular remodeling. Several TFs were identified as potentially influential in the vascular remodeling process under simulated microgravity conditions.
conclusionsThis study presents the first cellular atlas of the conductive arteries in hindlimb-unloaded rats, revealing a spectrum of dysregulated gene profiles. The identification of the subclusters of ECs, SMCs and fibroblasts, cellular communication analysis and transcription factors prediction are also included in this work. The findings provide a reference for future research on vascular deconditioning following long-duration spaceflight.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.