Studying Stochastic Systems Biology of the Cell with Single-cell Genomics Data

Overview

Journal Cell Syst

Publisher Cell Press

Specialties Biology
Cell Biology
Molecular Biology

Date 2023 Sep 26

PMID 37751736

Authors

Gennady Gorin

John J Vastola

Lior Pachter

Affiliations

Soon will be listed here.

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.

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