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A Comprehensive Overview of RNA Deconvolution Methods and Their Application
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논문 기본 정보

Type
Academic journal
Author
Yongsoo Kim (Amsterdam UMC) Yebin Im (서울대학교)
Journal
The Korean Society For Molecular And Cellular Biology Molecules and Cells Molecules and Cells 제46권 제2호 KCI Accredited Journals
Published
2023.2
Pages
99 - 105 (7page)
DOI
10.14348/molcells.2023.2178

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A Comprehensive Overview of RNA Deconvolution Methods and Their Application
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Tumors are surrounded by a variety of tumor microenviron mental cells. Profiling individual cells within the tumor tissues is crucial to characterize the tumor microenvironment and its therapeutic implications. Since single-cell technologies are still not cost-effective, scientists have developed many statistical deconvolution methods to delineate cellular characteristics from bulk transcriptome data. Here, we present an overview of 20 deconvolution techniques, including cutting-edge techniques recently established. We categorized deconvolution techniques by three primary criteria: characteristics of methodology, use of prior knowledge of cell types and outcome of the methods. We highlighted the advantage of the recent deconvolution tools that are based on probabilistic models. Moreover, we illustrated two scenarios of the common application of deconvolution methods to study tumor microenvironments. This comprehensive review will serve as a guideline for the researchers to select the appropriate method for their application of deconvolution.
#statistical deconvolution #tumor microenvironment

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