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RDI Calculator: An Analysis Tool to Assess RNA Distributions in Cells
Localization of RNAs to various subcellular destinations has emerged as a widely used mechanism that regulates a large proportion of transcripts in polarized cells. A number of methodologies have been developed that allow detection and imaging of RNAs at single-molecule resolution. However, methodol...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6547641/ https://www.ncbi.nlm.nih.gov/pubmed/31164708 http://dx.doi.org/10.1038/s41598-019-44783-2 |
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author | Stueland, Michael Wang, Tianhong Park, Hye Yoon Mili, Stavroula |
author_facet | Stueland, Michael Wang, Tianhong Park, Hye Yoon Mili, Stavroula |
author_sort | Stueland, Michael |
collection | PubMed |
description | Localization of RNAs to various subcellular destinations has emerged as a widely used mechanism that regulates a large proportion of transcripts in polarized cells. A number of methodologies have been developed that allow detection and imaging of RNAs at single-molecule resolution. However, methodologies to quantitatively describe RNA distributions are limited. Such approaches usually rely on the identification of cytoplasmic and nuclear boundaries which are used as reference points. Here, we describe an automated, interactive image analysis program that facilitates the accurate generation of cellular outlines from single cells and the subsequent calculation of metrics that quantify how a population of RNA molecules is distributed in the cell cytoplasm. We apply this analysis to mRNAs in mouse and human cells to demonstrate how these metrics can highlight differences in the distribution patterns of distinct RNA species. We further discuss considerations for the practical use of this tool. This program provides a way to facilitate and expedite the analysis of subcellular RNA localization for mechanistic and functional studies. |
format | Online Article Text |
id | pubmed-6547641 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-65476412019-06-10 RDI Calculator: An Analysis Tool to Assess RNA Distributions in Cells Stueland, Michael Wang, Tianhong Park, Hye Yoon Mili, Stavroula Sci Rep Article Localization of RNAs to various subcellular destinations has emerged as a widely used mechanism that regulates a large proportion of transcripts in polarized cells. A number of methodologies have been developed that allow detection and imaging of RNAs at single-molecule resolution. However, methodologies to quantitatively describe RNA distributions are limited. Such approaches usually rely on the identification of cytoplasmic and nuclear boundaries which are used as reference points. Here, we describe an automated, interactive image analysis program that facilitates the accurate generation of cellular outlines from single cells and the subsequent calculation of metrics that quantify how a population of RNA molecules is distributed in the cell cytoplasm. We apply this analysis to mRNAs in mouse and human cells to demonstrate how these metrics can highlight differences in the distribution patterns of distinct RNA species. We further discuss considerations for the practical use of this tool. This program provides a way to facilitate and expedite the analysis of subcellular RNA localization for mechanistic and functional studies. Nature Publishing Group UK 2019-06-04 /pmc/articles/PMC6547641/ /pubmed/31164708 http://dx.doi.org/10.1038/s41598-019-44783-2 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Stueland, Michael Wang, Tianhong Park, Hye Yoon Mili, Stavroula RDI Calculator: An Analysis Tool to Assess RNA Distributions in Cells |
title | RDI Calculator: An Analysis Tool to Assess RNA Distributions in Cells |
title_full | RDI Calculator: An Analysis Tool to Assess RNA Distributions in Cells |
title_fullStr | RDI Calculator: An Analysis Tool to Assess RNA Distributions in Cells |
title_full_unstemmed | RDI Calculator: An Analysis Tool to Assess RNA Distributions in Cells |
title_short | RDI Calculator: An Analysis Tool to Assess RNA Distributions in Cells |
title_sort | rdi calculator: an analysis tool to assess rna distributions in cells |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6547641/ https://www.ncbi.nlm.nih.gov/pubmed/31164708 http://dx.doi.org/10.1038/s41598-019-44783-2 |
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