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
  • [21] Unsupervised cell functional annotation for single-cell RNA-seq
    Li, Dongshunyi
    Ding, Jun
    Bar-Joseph, Ziv
    GENOME RESEARCH, 2022, 32 (09) : 1765 - 1775
  • [22] RNA-Seq analysis to capture the transcriptome landscape of a single cell
    Fuchou Tang
    Catalin Barbacioru
    Ellen Nordman
    Bin Li
    Nanlan Xu
    Vladimir I Bashkirov
    Kaiqin Lao
    M Azim Surani
    Nature Protocols, 2010, 5 : 516 - 535
  • [23] Guidelines for reporting single-cell RNA-seq experiments
    Fullgrabe, Anja
    George, Nancy
    Green, Matthew
    Nejad, Parisa
    Aronow, Bruce
    Fexova, Silvie Korena
    Fischer, Clay
    Freeberg, Mallory Ann
    Huerta, Laura
    Morrison, Norman
    Scheuermann, Richard H.
    Taylor, Deanne
    Vasilevsky, Nicole
    Clarke, Laura
    Gehlenborg, Nils
    Kent, Jim
    Marioni, John
    Teichmann, Sarah
    Brazma, Alvis
    Papatheodorou, Irene
    NATURE BIOTECHNOLOGY, 2020, 38 (12) : 1384 - 1386
  • [24] 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
  • [25] A SMARTer solution to stranded single-cell RNA-seq
    Gandlur, S.
    Pesant, M.
    Bolduc, N.
    Lee, S.
    Hardy, C.
    Das, A.
    Bostick, M.
    Farmer, A.
    EUROPEAN JOURNAL OF HUMAN GENETICS, 2019, 27 : 1716 - 1717
  • [26] Computational cell cycle analysis of single cell RNA-seq data
    Moussa, Marmar
    2018 IEEE 8TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL ADVANCES IN BIO AND MEDICAL SCIENCES (ICCABS), 2018,
  • [27] Single-Cell RNA-Seq Reveals Hypothalamic Cell Diversity
    Chen, Renchao
    Wu, Xiaoji
    Jiang, Lan
    Zhang, Yi
    CELL REPORTS, 2017, 18 (13): : 3227 - 3241
  • [28] Practical Compass of Single-Cell RNA-Seq Analysis
    Okada, Hiroyuki
    Chung, Ung-il
    Hojo, Hironori
    CURRENT OSTEOPOROSIS REPORTS, 2024, 22 (05) : 433 - 440
  • [29] Embracing the dropouts in single-cell RNA-seq analysis
    Peng Qiu
    Nature Communications, 11
  • [30] Processing Human Thymic Tissue for Single Cell RNA-Seq
    Le, Justin
    Ha, Vi Luan
    Luong, Annie
    Parekh, Chintan
    STAR PROTOCOLS, 2020, 1 (02):