Single-Cell Multiomics Analysis for Drug Discovery

被引:19
|
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
收藏
页数:14
相关论文
共 50 条
  • [31] Completing the cancer jigsaw puzzle with single-cell multiomics
    Song Chen
    Sarah A. Teichmann
    Nature Cancer, 2021, 2 : 1260 - 1262
  • [32] 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
  • [33] Bibliometric and visual analysis of single-cell multiomics in neurodegenerative disease arrest studies
    Wang, Jieyan
    Wang, Shuqing
    Li, Qingyu
    Liu, Fei
    Wan, Yantong
    Liang, Hui
    FRONTIERS IN NEUROLOGY, 2024, 15
  • [34] Integrating multiomics and Single-Cell communication analysis to uncover Ankylosing spondylitis mechanisms
    Chen, Tianyou
    Zhan, Xinli
    Zhu, Jichong
    Zhou, Chenxing
    Huang, Chengqian
    Wu, Shaofeng
    Yao, Yuanlin
    Zhang, Bin
    Feng, Sitan
    Chen, Jiarui
    Xue, Jiang
    Yang, Zhenwei
    Liu, Chong
    INTERNATIONAL IMMUNOPHARMACOLOGY, 2024, 143
  • [35] iPoLNG-An unsupervised model for the integrative analysis of single-cell multiomics data
    Zhang, Wenyu
    Lin, Zhixiang
    FRONTIERS IN GENETICS, 2023, 14
  • [36] 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)
  • [37] ScSmOP: a universal computational pipeline for single-cell single-molecule multiomics data analysis
    Jing, Kai
    Xu, Yewen
    Yang, Yang
    Yin, Pengfei
    Ning, Duo
    Huang, Guangyu
    Deng, Yuqing
    Chen, Gengzhan
    Li, Guoliang
    Tian, Simon Zhongyuan
    Zheng, Meizhen
    BRIEFINGS IN BIOINFORMATICS, 2023, 24 (06)
  • [38] Gene function and cell surface protein association analysis based on single-cell multiomics data
    Hu, Huan
    Feng, Zhen
    Lin, Hai
    Cheng, Jinyan
    Lyu, Jie
    Zhang, Yaru
    Zhao, Junjie
    Xu, Fei
    Lin, Tao
    Zhao, Qi
    Shuai, Jianwei
    COMPUTERS IN BIOLOGY AND MEDICINE, 2023, 157
  • [39] Single-cell multiomics analysis reveals cell/tissue-specific associations in bipolar disorder
    Wei, Wenming
    Cheng, Bolun
    Yang, Xuena
    Chu, Xiaoge
    He, Dan
    Qin, Xiaoyue
    Zhang, Na
    Zhao, Yijing
    Shi, Sirong
    Cai, Qingqing
    Hui, Jingni
    Wen, Yan
    Liu, Huan
    Jia, Yumeng
    Zhang, Feng
    TRANSLATIONAL PSYCHIATRY, 2024, 14 (01):
  • [40] Single-Cell Multiomics Analysis of Early Wound Response Programs in the Mouse Corneal Epithelium
    Lu, Zhao-Jing
    Ye, Jin-Guo
    Li, Jing-Ni
    Liang, Jiang-Bo
    Zhou, Ming
    Hu, Qiu-Ling
    Zhang, Qi-Kai
    Lin, Yu-Heng
    Zheng, Ying-Feng
    INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 2025, 66 (03)