Gene function revealed at the moment of stochastic gene silencing

Abstract Gene expression is a dynamic and stochastic process characterized by transcriptional bursting followed by periods of silence. Single-cell RNA sequencing (scRNA-seq) is a powerful tool to measure transcriptional bursting and silencing at the individual cell level. In this study, we introduce...

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Main Authors: Shreyan Gupta, James J. Cai
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Communications Biology
Online Access:https://doi.org/10.1038/s42003-025-07530-0
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author Shreyan Gupta
James J. Cai
author_facet Shreyan Gupta
James J. Cai
author_sort Shreyan Gupta
collection DOAJ
description Abstract Gene expression is a dynamic and stochastic process characterized by transcriptional bursting followed by periods of silence. Single-cell RNA sequencing (scRNA-seq) is a powerful tool to measure transcriptional bursting and silencing at the individual cell level. In this study, we introduce the single-cell Stochastic Gene Silencing (scSGS) method, which leverages the natural variability in single-cell gene expression to decipher gene function. For a target gene g under investigation, scSGS classifies cells into transcriptionally active (g+) and silenced (g-) samples. It then compares these cell samples to identify differentially expressed genes, referred to as SGS-responsive genes, which are used to infer the function of the target gene g. Analysis of real data demonstrates that scSGS can reveal regulatory relationships up- and downstream of target genes, circumventing the survivorship bias that often affects gene knockout and perturbation studies. scSGS thus offers an efficient approach for gene function prediction, with significant potential to reduce the use of genetically modified animals in gene function research.
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spelling doaj-art-0310926a6cdd4c6696d2b5f988e2c3142025-02-09T12:50:39ZengNature PortfolioCommunications Biology2399-36422025-01-018111410.1038/s42003-025-07530-0Gene function revealed at the moment of stochastic gene silencingShreyan Gupta0James J. Cai1Department of Veterinary Integrative Biosciences, School of Veterinary Medicine and Biomedical Sciences, Texas A&M UniversityDepartment of Veterinary Integrative Biosciences, School of Veterinary Medicine and Biomedical Sciences, Texas A&M UniversityAbstract Gene expression is a dynamic and stochastic process characterized by transcriptional bursting followed by periods of silence. Single-cell RNA sequencing (scRNA-seq) is a powerful tool to measure transcriptional bursting and silencing at the individual cell level. In this study, we introduce the single-cell Stochastic Gene Silencing (scSGS) method, which leverages the natural variability in single-cell gene expression to decipher gene function. For a target gene g under investigation, scSGS classifies cells into transcriptionally active (g+) and silenced (g-) samples. It then compares these cell samples to identify differentially expressed genes, referred to as SGS-responsive genes, which are used to infer the function of the target gene g. Analysis of real data demonstrates that scSGS can reveal regulatory relationships up- and downstream of target genes, circumventing the survivorship bias that often affects gene knockout and perturbation studies. scSGS thus offers an efficient approach for gene function prediction, with significant potential to reduce the use of genetically modified animals in gene function research.https://doi.org/10.1038/s42003-025-07530-0
spellingShingle Shreyan Gupta
James J. Cai
Gene function revealed at the moment of stochastic gene silencing
Communications Biology
title Gene function revealed at the moment of stochastic gene silencing
title_full Gene function revealed at the moment of stochastic gene silencing
title_fullStr Gene function revealed at the moment of stochastic gene silencing
title_full_unstemmed Gene function revealed at the moment of stochastic gene silencing
title_short Gene function revealed at the moment of stochastic gene silencing
title_sort gene function revealed at the moment of stochastic gene silencing
url https://doi.org/10.1038/s42003-025-07530-0
work_keys_str_mv AT shreyangupta genefunctionrevealedatthemomentofstochasticgenesilencing
AT jamesjcai genefunctionrevealedatthemomentofstochasticgenesilencing