Single-Cell Molecular Barcoding to Decode Multimodal Information Defining Cell States

Single-cell research has provided a breakthrough in biology to understand heterogeneous cell groups, such as tissues and organs, in development and disease. Molecular barcoding and subsequent sequencing technology insert a singlecell barcode into isolated single cells, allowing separation cell by ce...

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Bibliographic Details
Published inMolecules and cells Vol. 46; no. 2; pp. 74 - 85
Main Author Kim, Ik Soo
Format Journal Article
LanguageEnglish
Published United States Korean Society for Molecular and Cellular Biology 28.02.2023
한국분자세포생물학회
Subjects
Minireview
Multiomics
RNA
Social Group
Transcriptome
생물학
molecular barcoding
single cell
multimodality
multiomics
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Summary:Single-cell research has provided a breakthrough in biology to understand heterogeneous cell groups, such as tissues and organs, in development and disease. Molecular barcoding and subsequent sequencing technology insert a singlecell barcode into isolated single cells, allowing separation cell by cell. Given that multimodal information from a cell defines precise cellular states, recent technical advances in methods focus on simultaneously extracting multimodal data recorded in different biological materials (DNA, RNA, protein, etc.). This review summarizes recently developed singlecell multiomics approaches regarding genome, epigenome, and protein profiles with the transcriptome. In particular, we focus on how to anchor or tag molecules from a cell, improve throughputs with sample multiplexing, and record lineages, and we further discuss the future developments of the technology.
ISSN:1016-8478
0219-1032
DOI:10.14348/molcells.2023.2168