Spatially resolved transcriptomics: advances and applications

被引:7
|
作者
Duan, Honglin [1 ]
Cheng, Tao [1 ,2 ,3 ]
Cheng, Hui [1 ,2 ,3 ]
机构
[1] Chinese Acad Med Sci & Peking Union Med Coll, Blood Dis Hosp, Inst Hematol, Tianjin, Peoples R China
[2] Chinese Acad Med Sci, Ctr Stem Cell Med, Tianjin, Peoples R China
[3] Peking Union Med Coll, Dept Stem Cell & Regenerat Med, Tianjin, Peoples R China
来源
BLOOD SCIENCE | 2023年 / 5卷 / 01期
基金
中国国家自然科学基金;
关键词
In situ hybridization; In situ sequencing; Spatially resolved multi-omics; Spatially resolved transcriptomics; GENOME-WIDE EXPRESSION; MESSENGER-RNA LOCALIZATION; IN-SITU HYBRIDIZATION; SINGLE-CELL; HEMATOPOIETIC STEM; GENE-EXPRESSION; INTRATUMOR HETEROGENEITY; SEQ; ORGANIZATION; ATLAS;
D O I
10.1097/BS9.0000000000000141
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Spatial transcriptomics, which is capable of both measuring all gene activity in a tissue sample and mapping where this activity occurs, is vastly improving our understanding of biological processes and disease. The field has expanded rapidly in recent years, and the development of several new technologies has resulted in spatially resolved transcriptomics (SRT) becoming highly multiplexed, high-resolution, and high-throughput. Here, we summarize and compare the major methods of SRT, including imaging-based methods, sequencing-based methods, and in situ sequencing methods. We also highlight some typical applications of SRT in neuroscience, cancer biology, developmental biology, and hematology. Finally, we discuss future possibilities for improving spatially resolved transcriptomic methods and the expected applications of such methods, especially in the adult bone marrow, anticipating that new developments will unlock the full potential of spatially resolved multi-omics in both biological research and the clinic.
引用
收藏
页码:1 / 14
页数:14
相关论文
共 50 条
  • [1] Spatially resolved transcriptomics: a comprehensive review of their technological advances, applications, and challenges
    Cheng, Mengnan
    Jiang, Yujia
    Xu, Jiangshan
    Mentis, Alexios-Fotios A.
    Wang, Shuai
    Zheng, Huiwen
    Sahu, Sunil Kumar
    Liu, Longqi
    Xu, Xun
    [J]. JOURNAL OF GENETICS AND GENOMICS, 2023, 50 (09) : 625 - 640
  • [2] Recent advances in spatially resolved transcriptomics: challenges and opportunities
    Lee, Jongwon
    Yoo, Minsu
    Choi, Jungmin
    [J]. BMB REPORTS, 2022, 55 (03) : 113 - 124
  • [3] Spatially resolved transcriptomics and its applications in cancer
    Maniatis, Silas
    Petrescu, Joana
    Phatnani, Hemali
    [J]. CURRENT OPINION IN GENETICS & DEVELOPMENT, 2021, 66 : 70 - 77
  • [4] A review of recent advances in spatially resolved transcriptomics data analysis
    Gao, Yue
    Gao, Ying-Lian
    Jing, Jing
    Li, Feng
    Zheng, Chun-Hou
    Liu, Jin-Xing
    [J]. NEUROCOMPUTING, 2024, 603
  • [5] Spatially resolved transcriptomics and beyond
    Nicola Crosetto
    Magda Bienko
    Alexander van Oudenaarden
    [J]. Nature Reviews Genetics, 2015, 16 : 57 - 66
  • [6] Spatially resolved transcriptomics and beyond
    Crosetto, Nicola
    Bienko, Magda
    van Oudenaarden, Alexander
    [J]. NATURE REVIEWS GENETICS, 2015, 16 (01) : 57 - 66
  • [7] Spatially resolved transcriptomics in neuroscience
    Close, Jennie L.
    Long, Brian R.
    Zeng, Hongkui
    [J]. NATURE METHODS, 2021, 18 (01) : 23 - 25
  • [8] Spatially resolved transcriptomics in neuroscience
    Jennie L. Close
    Brian R. Long
    Hongkui Zeng
    [J]. Nature Methods, 2021, 18 : 23 - 25
  • [9] Method of the Year: spatially resolved transcriptomics
    Marx, Vivien
    [J]. NATURE METHODS, 2021, 18 (01) : 9 - 14
  • [10] Spatially resolved transcriptomics in immersive environments
    Bienroth, Denis
    Nim, Hieu T.
    Garkov, Dimitar
    Klein, Karsten
    Jaeger-Honz, Sabrina
    Ramialison, Mirana
    Schreiber, Falk
    [J]. VISUAL COMPUTING FOR INDUSTRY BIOMEDICINE AND ART, 2022, 5 (01)