Single-Cell Multiomics Analysis for Drug Discovery

被引:17
|
作者
Nassar, Sam F. [1 ,2 ]
Raddassi, Khadir [3 ]
Wu, Terence [4 ]
机构
[1] Brandeis Univ, Dept Biol, Waltham, MA 02453 USA
[2] IsoPlexis, Branford, CT 06405 USA
[3] Yale Sch Med, Dept Neurol, New Haven, CT 06511 USA
[4] Yale Univ, West Campus Analyt Core, West Haven, CT 06516 USA
关键词
multiomics; genomics; metabolomics; proteomics; transcriptomics; single-cell; mass spectrometry; IsoLight; COVID-19; DECISION-MAKING PROCESS; MASS CYTOMETRY; STRUCTURAL MODIFICATION; RECENT INNOVATIONS; FLOW-CYTOMETRY; PROTEOMICS; RESPONSES; SUPPORT; METABOLOMICS; SPECTROMETRY;
D O I
10.3390/metabo11110729
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Given the heterogeneity seen in cell populations within biological systems, analysis of single cells is necessary for studying mechanisms that cannot be identified on a bulk population level. There are significant variations in the biological and physiological function of cell populations due to the functional differences within, as well as between, single species as a result of the specific proteome, transcriptome, and metabolome that are unique to each individual cell. Single-cell analysis proves crucial in providing a comprehensive understanding of the biological and physiological properties underlying human health and disease. Omics technologies can help to examine proteins (proteomics), RNA molecules (transcriptomics), and the chemical processes involving metabolites (metabolomics) in cells, in addition to genomes. In this review, we discuss the value of multiomics in drug discovery and the importance of single-cell multiomics measurements. We will provide examples of the benefits of applying single-cell omics technologies in drug discovery and development. Moreover, we intend to show how multiomics offers the opportunity to understand the detailed events which produce or prevent disease, and ways in which the separate omics disciplines complement each other to build a broader, deeper knowledge base.
引用
下载
收藏
页数:14
相关论文
共 50 条
  • [21] Drug targets: single-cell transcriptomics hastens unbiased discovery
    Bartfai, Tamas
    Buckley, Peter T.
    Eberwine, James
    TRENDS IN PHARMACOLOGICAL SCIENCES, 2012, 33 (01) : 9 - 16
  • [22] Single-cell multiomics analysis reveals regulatory programs in clear cell renal cell carcinoma
    Zhilin Long
    Chengfang Sun
    Min Tang
    Yin Wang
    Jiayan Ma
    Jichuan Yu
    Jingchao Wei
    Jianzhu Ma
    Bohan Wang
    Qi Xie
    Jiaming Wen
    Cell Discovery, 8
  • [23] Enabling drug discovery and development through single-cell imaging
    Pomerantz, Andrea K.
    Sari-Sarraf, Farid
    Grove, Kerri J.
    Pedro, Liliana
    Rudewicz, Patrick J.
    Fathman, John W.
    Krucker, Thomas
    EXPERT OPINION ON DRUG DISCOVERY, 2019, 14 (02) : 115 - 125
  • [24] Applications of single-cell technologies in drug discovery for tumor treatment
    Liu, Bingyu
    Hu, Shunfeng
    Wang, Xin
    ISCIENCE, 2024, 27 (08)
  • [25] Applications of single-cell RNA sequencing in drug discovery and development
    Bram Van de Sande
    Joon Sang Lee
    Euphemia Mutasa-Gottgens
    Bart Naughton
    Wendi Bacon
    Jonathan Manning
    Yong Wang
    Jack Pollard
    Melissa Mendez
    Jon Hill
    Namit Kumar
    Xiaohong Cao
    Xiao Chen
    Mugdha Khaladkar
    Ji Wen
    Andrew Leach
    Edgardo Ferran
    Nature Reviews Drug Discovery, 2023, 22 : 496 - 520
  • [26] Ursa: A Comprehensive Multiomics Toolbox for High-Throughput Single-Cell Analysis
    Pan, Lu
    Mou, Tian
    Huang, Yue
    Hong, Weifeng
    Yu, Min
    Li, Xuexin
    MOLECULAR BIOLOGY AND EVOLUTION, 2023, 40 (12)
  • [27] Single-Cell Multiomics Techniques: From Conception to Applications
    Dimitriu, Maria A.
    Lazar-Contes, Irina
    Roszkowski, Martin
    Mansuy, Isabelle M.
    FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY, 2022, 10
  • [28] Single-cell Multiomics Analysis of Myelodysplastic Syndromes and Clinical Response to Hypomethylating Therapy
    Campillo-Marcos, Ignacio
    Casado-Pelaez, Marta
    Davalos, Veronica
    Ferrer, Gerardo
    Mata, Caterina
    Mereu, Elisabetta
    Roue, Gael
    Valcarcel, David
    Molero, Antonieta
    Zamora, Lurdes
    Xicoy, Blanca
    Palomo, Laura
    Acha, Pamela
    Manzanares, Ana
    Tobiasson, Magnus
    Hellstrom-Lindberg, Eva
    Sole, Francesc
    Esteller, Manel
    CANCER RESEARCH COMMUNICATIONS, 2024, 4 (02): : 365 - 377
  • [29] iPoLNG-An unsupervised model for the integrative analysis of single-cell multiomics data
    Zhang, Wenyu
    Lin, Zhixiang
    FRONTIERS IN GENETICS, 2023, 14
  • [30] Unbiasedly decoding the tumor microenvironment with single-cell multiomics analysis in pancreatic cancer
    Fu, Yifan
    Tao, Jinxin
    Liu, Tao
    Liu, Yueze
    Qiu, Jiangdong
    Su, Dan
    Wang, Ruobing
    Luo, Wenhao
    Cao, Zhe
    Weng, Guihu
    Zhang, Taiping
    Zhao, Yupei
    MOLECULAR CANCER, 2024, 23 (01)