Cardiovascular utility of single cell RNA-Seq

被引:1
|
作者
Safabakhsh, Sina [1 ,2 ,3 ]
Ma, Wei Feng [4 ,5 ]
Miller, Clint L. L. [4 ]
Laksman, Zachary [1 ,2 ,3 ]
机构
[1] Univ British Columbia, Div Cardiol, 211-1033 Davie St, Vancouver, BC V6E 1M7, Canada
[2] Univ British Columbia, Ctr Heart Lung Innovat, Vancouver, BC, Canada
[3] Univ British Columbia, Ctr Cardiovasc Innovat, Vancouver, BC, Canada
[4] Univ Virginia, Ctr Publ Hlth Genom, Dept Publ Hlth Sci, Charlottesville, VA USA
[5] Univ Virginia, Med Scientist Training Program, Charlottesville, VA USA
基金
美国国家卫生研究院;
关键词
cardiology; sequencing; single-cell; GENE-EXPRESSION; EPIDEMIOLOGY; DETERMINANT; DISEASE;
D O I
10.1097/HCO.0000000000001014
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Purpose of reviewCardiovascular diseases remain the leading causes of morbidity and mortality globally. Single-cell RNA sequencing has the potential to improve diagnostics, risk stratification, and provide novel therapeutic targets that have the potential to improve patient outcomes.Recent findingsHere, we provide an overview of the basic processes underlying single-cell RNA sequencing, including library preparation, data processing, and downstream analyses. We briefly discuss how the technique has been adapted to related medical disciplines, including hematology and oncology, with short term translational impact. We discuss potential applications of this technology within cardiology as well as recent innovative research within the field. We also discuss future directions to translate this technology to other high impact clinical areas.The use of single-cell RNA sequencing technology has made significant advancements in the field of cardiology, with ongoing growth in terms of applications and uptake. Most of the current research has focused on structural or atherosclerotic heart disease. Future areas that stand to benefit from this technology include cardiac electrophysiology and cardio-oncology.
引用
收藏
页码:193 / 200
页数:8
相关论文
共 50 条
  • [1] Comparative Toxicotranscriptomics of Single Cell RNA-Seq and Conventional RNA-Seq in TCDD-Exposed Testicular Tissue
    Haimbaugh, Alex
    Meyer, Danielle
    Akemann, Camille
    Gurdziel, Katherine
    Baker, Tracie R.
    FRONTIERS IN TOXICOLOGY, 2022, 4
  • [2] An Efficient and Flexible Method for Deconvoluting Bulk RNA-Seq Data with Single-Cell RNA-Seq Data
    Sun, Xifang
    Sun, Shiquan
    Yang, Sheng
    CELLS, 2019, 8 (10)
  • [3] Decontamination of ambient RNA in single-cell RNA-seq with DecontX
    Yang, Shiyi
    Corbett, Sean E.
    Koga, Yusuke
    Wang, Zhe
    Johnson, W. Evan
    Yajima, Masanao
    Campbell, Joshua D.
    GENOME BIOLOGY, 2020, 21 (01)
  • [4] Decontamination of ambient RNA in single-cell RNA-seq with DecontX
    Shiyi Yang
    Sean E. Corbett
    Yusuke Koga
    Zhe Wang
    W Evan Johnson
    Masanao Yajima
    Joshua D. Campbell
    Genome Biology, 21
  • [5] Robustness of single-cell RNA-seq for identifying differentially expressed genes
    Liu, Yong
    Huang, Jing
    Pandey, Rajan
    Liu, Pengyuan
    Therani, Bhavika
    Qiu, Qiongzi
    Rao, Sridhar
    Geurts, Aron M.
    Cowley Jr, Allen W.
    Greene, Andrew S.
    Liang, Mingyu
    BMC GENOMICS, 2023, 24 (01)
  • [6] Single-cell RNA-seq: advances and future challenges
    Saliba, Antoine-Emmanuel
    Westermann, Alexander J.
    Gorski, Stanislaw A.
    Vogel, Joerg
    NUCLEIC ACIDS RESEARCH, 2014, 42 (14) : 8845 - 8860
  • [7] Robustness of single-cell RNA-seq for identifying differentially expressed genes
    Yong Liu
    Jing Huang
    Rajan Pandey
    Pengyuan Liu
    Bhavika Therani
    Qiongzi Qiu
    Sridhar Rao
    Aron M. Geurts
    Allen W. Cowley
    Andrew S. Greene
    Mingyu Liang
    BMC Genomics, 24
  • [8] scDIOR: single cell RNA-seq data IO software
    Feng, Huijian
    Lin, Lihui
    Chen, Jiekai
    BMC BIOINFORMATICS, 2022, 23 (01)
  • [9] scDIOR: single cell RNA-seq data IO software
    Huijian Feng
    Lihui Lin
    Jiekai Chen
    BMC Bioinformatics, 23
  • [10] Single Cell RNA-Seq Analysis of Human Red Cells
    Jain, Vaibhav
    Yang, Wen-Hsuan
    Wu, Jianli
    Roback, John D.
    Gregory, Simon G.
    Chi, Jen-Tsan
    FRONTIERS IN PHYSIOLOGY, 2022, 13