ArticleMolecular medicine reports2018
Transcriptome sequencing revealed candidate genes relevant to mesenchymal stem cells' role in aortic dissection patients.
Article in Molecular medicine reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 12 citations in OpenAlex.
- Tomo-seq identifies NINJ1 as a potential target for anti-inflammatory strategy in thoracic aortic dissection.BMC medicine · 2023Article
- Applying multi-omics techniques to the discovery of biomarkers for acute aortic dissection.Frontiers in cardiovascular medicine · 2022Review
- Identification of pathological-related and diagnostic potential circular RNAs in Stanford type A aortic dissection.Frontiers in cardiovascular medicine · 2022Article
- Article
- Identification of Molecular Regulatory Features and Markers for Acute Type A Aortic Dissection.Computational and mathematical methods in medicine · 2021Article
- Visualization and Analysis of Gene Expression in Stanford Type A Aortic Dissection Tissue Section by Spatial Transcriptomics.Frontiers in genetics · 2021Article
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Aortic dissection (AD) results from the imbalance between synthesis and degradation of extracellular matrices in aortic wall, which is characterized by chronic inflammation. Mesenchymal stem cells (MSCs) are known for anti‑inflammatory and repairing effects and have therefore been studied for treatment for numerous diseases, including AD. However, it is unclear which genes or signaling pathways contribute to MSCs' role in AD. In the present study, RNA sequencing (RNA‑seq) was conducted between MSCs from patients with AS (AD‑MSCs) and those from age‑matched healthy donors (HD‑MSCs). RNA‑seq revealed 201 differentially expressed genes (DEGs) under the filter of fold change>2 and P‑value <0.05, in which 93 genes were upregulated and 108 downregulated. We selectively verified 9 out of 201 DEGs via reverse transcription‑quantitative polymerase chain reaction (RT‑qPCR) with an enlarged sample size. The trends of RT‑qPCR results were consistent with RNA‑seq data. Unsupervised hierarchical clustering of the 9‑gene expression profiles enables the division of clinical samples into AD and HD groups. Kyoto Encyclopedia of Genes and Genomes analysis displayed a significant change in adhesion‑related signaling pathways in AD‑MSCs compared with HD‑MSCs, whereas gene ontology analysis demonstrated DEGs were enriched in functions associated with development and morphogenesis, from a functional perspective. The present results indicate that gene expression profiles of AD‑MSCs were significantly changed compared with HD‑MSCs. These changes are probably associated with MSCs' adhesion capacity and development. These results may provide important insights into the role of MSCs in AD pathogenesis.
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