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Studying stochastic systems biology of the cell with single-cell genomics data.


ABSTRACT: Recent experimental developments in genome-wide RNA quantification hold considerable promise for systems biology. However, rigorously probing the biology of living cells requires a unified mathematical framework that accounts for single-molecule biological stochasticity in the context of technical variation associated with genomics assays. We review models for a variety of RNA transcription processes, as well as the encapsulation and library construction steps of microfluidics-based single-cell RNA sequencing, and present a framework to integrate these phenomena by the manipulation of generating functions. Finally, we use simulated scenarios and biological data to illustrate the implications and applications of the approach.

SUBMITTER: Gorin G 

PROVIDER: S-EPMC10245677 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature

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Studying stochastic systems biology of the cell with single-cell genomics data.

Gorin Gennady G   Vastola John J JJ   Pachter Lior L  

bioRxiv : the preprint server for biology 20230529


Recent experimental developments in genome-wide RNA quantification hold considerable promise for systems biology. However, rigorously probing the biology of living cells requires a unified mathematical framework that accounts for single-molecule biological stochasticity in the context of technical variation associated with genomics assays. We review models for a variety of RNA transcription processes, as well as the encapsulation and library construction steps of microfluidics-based single-cell  ...[more]

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