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Hu Y, An Q, Sheu K, et al. Single Cell Multi-Omics Technology: Methodology and Application. Front Cell Dev Biol. 2018;6:28doi: 10.3389/fcell.2018.00028.
Hu, Y., An, Q., Sheu, K., Trejo, B., Fan, S., & Guo, Y. (2018). Single Cell Multi-Omics Technology: Methodology and Application. Frontiers in cell and developmental biology, 628. https://doi.org/10.3389/fcell.2018.00028
Hu, Youjin, et al. "Single Cell Multi-Omics Technology: Methodology and Application." Frontiers in cell and developmental biology vol. 6 (2018): 28. doi: https://doi.org/10.3389/fcell.2018.00028
Hu Y, An Q, Sheu K, Trejo B, Fan S, Guo Y. Single Cell Multi-Omics Technology: Methodology and Application. Front Cell Dev Biol. 2018 Apr 20;6:28. doi: 10.3389/fcell.2018.00028. eCollection 2018. PMID: 29732369; PMCID: PMC5919954.
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Front Cell Dev Biol. 2018 Apr 20;6:28. doi: 10.3389/fcell.2018.00028. eCollection 2018.

Single Cell Multi-Omics Technology: Methodology and Application.

Frontiers in cell and developmental biology

Youjin Hu, Qin An, Katherine Sheu, Brandon Trejo, Shuxin Fan, Ying Guo

Affiliations

  1. Zhongshan Ophthalmic Center, State Key Laboratory of Ophthalmology, Sun-Ye-Sat University, Guangzhou, China.
  2. Department of Human Genetics, David Geffen School of Medicine, UCLA, Los Angeles, CA, United States.
  3. The Second Affiliated Hospital, Xiangya School of Medicine, Central South University, Changsha, China.

PMID: 29732369 PMCID: PMC5919954 DOI: 10.3389/fcell.2018.00028

Abstract

In the era of precision medicine, multi-omics approaches enable the integration of data from diverse omics platforms, providing multi-faceted insight into the interrelation of these omics layers on disease processes. Single cell sequencing technology can dissect the genotypic and phenotypic heterogeneity of bulk tissue and promises to deepen our understanding of the underlying mechanisms governing both health and disease. Through modification and combination of single cell assays available for transcriptome, genome, epigenome, and proteome profiling, single cell multi-omics approaches have been developed to simultaneously and comprehensively study not only the unique genotypic and phenotypic characteristics of single cells, but also the combined regulatory mechanisms evident only at single cell resolution. In this review, we summarize the state-of-the-art single cell multi-omics methods and discuss their applications, challenges, and future directions.

Keywords: epigenetics; gene regulation; single cell epigenome; single cell multi-omics profiling; single cell proteome; single cell transcriptome

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