In silico and in vitro protocols for quantifying gene expression noise modulated by microRNAs

Characterizing the noise modulation pattern of microRNA is valuable for both microRNA function analysis and synthetic biology applications. Here we propose a coarse-grained model to simulate how the properties of microRNAs, competing RNAs, and microRNA response elements affect gene expression noise....

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Detalles Bibliográficos
Autores principales: Wei, Lei, Li, Shuailin, Wang, Xiaowo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Protocol
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8885741/
https://www.ncbi.nlm.nih.gov/pubmed/35243382
http://dx.doi.org/10.1016/j.xpro.2022.101205
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author Wei, Lei
Li, Shuailin
Wang, Xiaowo
author_facet Wei, Lei
Li, Shuailin
Wang, Xiaowo
author_sort Wei, Lei
collection PubMed
description Characterizing the noise modulation pattern of microRNA is valuable for both microRNA function analysis and synthetic biology applications. Here we propose a coarse-grained model to simulate how the properties of microRNAs, competing RNAs, and microRNA response elements affect gene expression noise. We also detail an experimental protocol based on synthetic gene circuits and flow cytometry to quantify the noise. This framework is easy-to-use for the study and application of both microRNA and gene expression noise. For complete details on the use and execution of this protocol, please refer to Wei et al. (2021).
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spelling pubmed-88857412022-03-02 In silico and in vitro protocols for quantifying gene expression noise modulated by microRNAs Wei, Lei Li, Shuailin Wang, Xiaowo STAR Protoc Protocol Characterizing the noise modulation pattern of microRNA is valuable for both microRNA function analysis and synthetic biology applications. Here we propose a coarse-grained model to simulate how the properties of microRNAs, competing RNAs, and microRNA response elements affect gene expression noise. We also detail an experimental protocol based on synthetic gene circuits and flow cytometry to quantify the noise. This framework is easy-to-use for the study and application of both microRNA and gene expression noise. For complete details on the use and execution of this protocol, please refer to Wei et al. (2021). Elsevier 2022-02-26 /pmc/articles/PMC8885741/ /pubmed/35243382 http://dx.doi.org/10.1016/j.xpro.2022.101205 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Protocol
Wei, Lei
Li, Shuailin
Wang, Xiaowo
In silico and in vitro protocols for quantifying gene expression noise modulated by microRNAs
title In silico and in vitro protocols for quantifying gene expression noise modulated by microRNAs
title_full In silico and in vitro protocols for quantifying gene expression noise modulated by microRNAs
title_fullStr In silico and in vitro protocols for quantifying gene expression noise modulated by microRNAs
title_full_unstemmed In silico and in vitro protocols for quantifying gene expression noise modulated by microRNAs
title_short In silico and in vitro protocols for quantifying gene expression noise modulated by microRNAs
title_sort in silico and in vitro protocols for quantifying gene expression noise modulated by micrornas
topic Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8885741/
https://www.ncbi.nlm.nih.gov/pubmed/35243382
http://dx.doi.org/10.1016/j.xpro.2022.101205
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