Unraveling heterogeneity in transcriptome and its regulation through single-cell multi-omics technologies

• Main Authors: Xing, Qiao Rui, Cipta, Nadia Omega, Hamashima, Kiyofumi, Liou, Yih-Cherng, Koh, Cheng-Gee, Loh, Yuin-Han
• Other Authors: School of Biological Sciences
• Format: Article
• Language: English
• Published: 2020
• Subjects: Science::Biological sciences; Multimodal Single-cell Techniques; Spatial Transcriptome
• Online Access: https://hdl.handle.net/10356/145619
• Institution: Nanyang Technological University

Cellular heterogeneity plays a pivotal role in tissue homeostasis and the disease development of multicellular organisms. To deconstruct the heterogeneity, a multitude of single-cell toolkits measuring various cellular contents, including genome, transcriptome, epigenome, and proteome, have been developed. More recently, multi-omics single-cell techniques enable the capture of molecular footprints with a higher resolution by simultaneously profiling various cellular contents within an individual cell. Integrative analysis of multi-omics datasets unravels the relationships between cellular modalities, builds sophisticated regulatory networks, and provides a holistic view of the cell state. In this review, we summarize the major developments in the single-cell field and review the current state-of-the-art single-cell multi-omic techniques and the bioinformatic tools for integrative analysis.