Microtechnologies for single-cell and spatial multi-omics

被引:2
|
作者
Yanxiang Deng
Zhiliang Bai
Rong Fan
机构
[1] Yale University,Department of Biomedical Engineering
[2] Yale School of Medicine,Yale Stem Cell Center and Yale Cancer Center
[3] Yale School of Medicine,Human and Translational Immunology
[4] Yale School of Medicine,Department of Pathology
[5] University of Pennsylvania,Department of Pathology and Laboratory Medicine, Epigenetics Institute, Perelman School of Medicine
来源
Nature Reviews Bioengineering | 2023年 / 1卷 / 10期
关键词
D O I
10.1038/s44222-023-00084-y
中图分类号
学科分类号
摘要
Single-cell omics assays allow the identification of the type, subtype and functional state of a single cell. To put such single-cell data in the context of tissues, spatially resolved omics can be applied to quantify gene expression and regulation in intact tissues at the genome scale. However, to obtain a full picture of gene regulatory networks in a cell, multi-omic assays are required that can assess two or more modalities of omics information. In this Review, we discuss microfabricated systems that can be engineered to isolate, probe, manipulate and process single cells at the micrometre scale for single-cell and spatial multi-omics studies. We outline microchannel-, microarray- and droplet-based microfluidic platforms, examining their application in multimodal cellular profiling at the cellular and subcellular level. Finally, we discuss the key challenges that need to be addressed to advance the translation and commercialization of such microchip-based technologies for fundamental research and medical applications.
引用
收藏
页码:769 / 784
页数:15
相关论文
共 50 条
  • [1] Methods and applications for single-cell and spatial multi-omics
    Vandereyken, Katy
    Sifrim, Alejandro
    Thienpont, Bernard
    Voet, Thierry
    [J]. NATURE REVIEWS GENETICS, 2023, 24 (08) : 494 - 515
  • [2] Methods and applications for single-cell and spatial multi-omics
    Katy Vandereyken
    Alejandro Sifrim
    Bernard Thienpont
    Thierry Voet
    [J]. Nature Reviews Genetics, 2023, 24 : 494 - 515
  • [3] Multi-omics single-cell analysis
    Nicole Rusk
    [J]. Nature Methods, 2019, 16 : 679 - 679
  • [4] Multi-omics single-cell analysis
    Rusk, Nicole
    [J]. NATURE METHODS, 2019, 16 (08) : 679 - 679
  • [5] scMoC: single-cell multi-omics clustering
    Eltager, Mostafa
    Abdelaal, Tamim
    Mahfouz, Ahmed
    Reinders, Marcel J. T.
    [J]. BIOINFORMATICS ADVANCES, 2022, 2 (01):
  • [6] Advances in single-cell multi-omics profiling
    Bai, Dongsheng
    Peng, Jinying
    Yi, Chengqi
    [J]. RSC CHEMICAL BIOLOGY, 2021, 2 (02): : 441 - 449
  • [7] Single-Cell Technologies: Advances in Single-Cell Migration and Multi-Omics
    Moarefian, Maryam
    Capossela, Antonia McDonnell
    Eom, Ryan
    Aran, Kiana
    [J]. GEN BIOTECHNOLOGY, 2022, 1 (03): : 246 - 261
  • [8] Single-Cell Analyses in the Multi-omics Era
    Kalluri, Raghu
    Mead, Adam J.
    di Magliano, Marina Pasca
    Filbin, Mariella
    Carmeliet, Peter
    Amit, Ido
    [J]. CANCER CELL, 2020, 38 (01) : 9 - 10
  • [9] Dissecting pediatric sarcoma microenvironment using single-cell and spatial multi-omics
    Zhang, Zhan
    Ahn, Kyung Jin
    Biyik-Sit, Rumeysa
    Chen, Changya
    Thadi, Anusha
    Chen, Chia-hui
    Molina, William
    Lockhart, Brian
    Laetsch, Theodore
    Surrey, Lea
    Haldar, Malay
    Bernt, Kathrin
    Pillai, Vinodh
    Tan, Kai
    [J]. CANCER RESEARCH, 2024, 84 (17)
  • [10] Arsenal of single-cell multi-omics methods expanded
    Tang, Lin
    [J]. NATURE METHODS, 2021, 18 (08) : 858 - 858