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Computational tools for analyzing single-cell data in pluripotent cell differentiation studies.

ABSTRACT: Single-cell technologies are revolutionizing the ability of researchers to infer the causes and results of biological processes. Although several studies of pluripotent cell differentiation have recently utilized single-cell sequencing data, other aspects related to the optimization of differentiation protocols, their validation, robustness, and usage are still not taking full advantage of single-cell technologies. In this review, we focus on computational approaches for the analysis of single-cell omics and imaging data and discuss their use to address many of the major challenges involved in the development, validation, and use of cells obtained from pluripotent cell differentiation.

SUBMITTER: Ding J

PROVIDER: S-EPMC9017169 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature

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Computational tools for analyzing single-cell data in pluripotent cell differentiation studies.

Ding Jun J Alavi Amir A Ebrahimkhani Mo R MR Bar-Joseph Ziv Z

Cell reports methods 20211004 6

Single-cell technologies are revolutionizing the ability of researchers to infer the causes and results of biological processes. Although several studies of pluripotent cell differentiation have recently utilized single-cell sequencing data, other aspects related to the optimization of differentiation protocols, their validation, robustness, and usage are still not taking full advantage of single-cell technologies. In this review, we focus on computational approaches for the analysis of single-c ...[more]

PMID: 35474899

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