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Review
. 2018 Feb 21;7(1):5.
doi: 10.3390/ht7010005.

Whole-Transcriptome Sequencing: a Powerful Tool for Vascular Tissue Engineering and Endothelial Mechanobiology

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Review

Whole-Transcriptome Sequencing: a Powerful Tool for Vascular Tissue Engineering and Endothelial Mechanobiology

Anton G Kutikhin et al. High Throughput. .

Abstract

Among applicable high-throughput techniques in cardiovascular biology, whole-transcriptome sequencing is of particular use. By utilizing RNA that is isolated from virtually all cells and tissues, the entire transcriptome can be evaluated. In comparison with other high-throughput approaches, RNA sequencing is characterized by a relatively low-cost and large data output, which permits a comprehensive analysis of spatiotemporal variation in the gene expression profile. Both shear stress and cyclic strain exert hemodynamic force upon the arterial endothelium and are considered to be crucial determinants of endothelial physiology. Laminar blood flow results in a high shear stress that promotes atheroresistant endothelial phenotype, while a turbulent, oscillatory flow yields a pathologically low shear stress that disturbs endothelial homeostasis, making respective arterial segments prone to atherosclerosis. Severe atherosclerosis significantly impairs blood supply to the organs and frequently requires bypass surgery or an arterial replacement surgery that requires tissue-engineered vascular grafts. To provide insight into patterns of gene expression in endothelial cells in native or bioartificial arteries under different biomechanical conditions, this article discusses applications of whole-transcriptome sequencing in endothelial mechanobiology and vascular tissue engineering.

Keywords: RNA sequencing; cardiovascular diseases; cyclic strain; endothelial cells; endothelial mechanobiology; endothelial progenitor cells; high-throughput techniques; shear stress; vascular tissue engineering; whole-transcriptome sequencing.

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Conflict of interest statement

The authors declare no conflict of interest. The founding sponsors had no role in the writing of the manuscript.

Figures

Figure 1
Figure 1
Application of whole-transcriptome sequencing in endothelial mechanobiology. qPCR: quantitative polymerase chain reaction.

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References

    1. GBD 2016 Causes of Death Collaborators Global, regional, and national age-sex specific mortality for 264 causes of death, 1980–2016: A systematic analysis for the Global Burden of Disease Study 2016. Lancet. 2017;390:1151–1210. doi: 10.1016/S0140-6736(17)32152-9. - DOI - PMC - PubMed
    1. GBD 2016 DALYs and HALE Collaborators Global, regional, and national disability-adjusted life-years (DALYs) for 333 diseases and injuries and healthy life expectancy (HALE) for 195 countries and territories, 1990–2016: A systematic analysis for the Global Burden of Disease Study 2016. Lancet. 2017;390:1260–1344. doi: 10.1016/S0140-6736(17)32130-X. - DOI - PMC - PubMed
    1. Friedman A.A., Letai A., Fisher D.E., Flaherty K.T. Precision medicine for cancer with next-generation functional diagnostics. Nat. Rev. Cancer. 2015;15:747–756. doi: 10.1038/nrc4015. - DOI - PMC - PubMed
    1. Pauli C., Hopkins B.D., Prandi D., Shaw R., Fedrizzi T., Sboner A., Sailer V., Augello M., Puca L., Rosati R., et al. Personalized in vitro and in vivo cancer models to guide precision medicine. Cancer Discov. 2017;7:462–477. doi: 10.1158/2159-8290.CD-16-1154. - DOI - PMC - PubMed
    1. Dimitrakopoulos L., Prassas I., Diamandis E.P., Charames G.S. Onco-proteogenomics: Multi-omics level data integration for accurate phenotype prediction. Crit. Rev. Clin. Lab. Sci. 2017;54:414–432. doi: 10.1080/10408363.2017.1384446. - DOI - PubMed

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