qSR: a quantitative super-resolution analysis tool reveals the cell-cycle dependent organization of RNA Polymerase I in live human cells

Abstract We present qSR, an analytical tool for the quantitative analysis of single molecule based super-resolution data. The software is created as an open-source platform integrating multiple algorithms for rigorous spatial and temporal characterizations of protein clusters in super-resolution dat...

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Autores principales:	J. O. Andrews, W. Conway, W -K. Cho, A. Narayanan, J -H. Spille, N. Jayanth, T. Inoue, S. Mullen, J. Thaler, I. I. Cissé
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2018
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/9142ddcc0bf44d48baf4957c07989089
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spelling	oai:doaj.org-article:9142ddcc0bf44d48baf4957c079890892021-12-02T11:41:13ZqSR: a quantitative super-resolution analysis tool reveals the cell-cycle dependent organization of RNA Polymerase I in live human cells10.1038/s41598-018-25454-02045-2322https://doaj.org/article/9142ddcc0bf44d48baf4957c079890892018-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-018-25454-0https://doaj.org/toc/2045-2322Abstract We present qSR, an analytical tool for the quantitative analysis of single molecule based super-resolution data. The software is created as an open-source platform integrating multiple algorithms for rigorous spatial and temporal characterizations of protein clusters in super-resolution data of living cells. First, we illustrate qSR using a sample live cell data of RNA Polymerase II (Pol II) as an example of highly dynamic sub-diffractive clusters. Then we utilize qSR to investigate the organization and dynamics of endogenous RNA Polymerase I (Pol I) in live human cells, throughout the cell cycle. Our analysis reveals a previously uncharacterized transient clustering of Pol I. Both stable and transient populations of Pol I clusters co-exist in individual living cells, and their relative fraction vary during cell cycle, in a manner correlating with global gene expression. Thus, qSR serves to facilitate the study of protein organization and dynamics with very high spatial and temporal resolutions directly in live cell.J. O. AndrewsW. ConwayW -K. ChoA. NarayananJ -H. SpilleN. JayanthT. InoueS. MullenJ. ThalerI. I. CisséNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 8, Iss 1, Pp 1-10 (2018)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q J. O. Andrews W. Conway W -K. Cho A. Narayanan J -H. Spille N. Jayanth T. Inoue S. Mullen J. Thaler I. I. Cissé qSR: a quantitative super-resolution analysis tool reveals the cell-cycle dependent organization of RNA Polymerase I in live human cells
description	Abstract We present qSR, an analytical tool for the quantitative analysis of single molecule based super-resolution data. The software is created as an open-source platform integrating multiple algorithms for rigorous spatial and temporal characterizations of protein clusters in super-resolution data of living cells. First, we illustrate qSR using a sample live cell data of RNA Polymerase II (Pol II) as an example of highly dynamic sub-diffractive clusters. Then we utilize qSR to investigate the organization and dynamics of endogenous RNA Polymerase I (Pol I) in live human cells, throughout the cell cycle. Our analysis reveals a previously uncharacterized transient clustering of Pol I. Both stable and transient populations of Pol I clusters co-exist in individual living cells, and their relative fraction vary during cell cycle, in a manner correlating with global gene expression. Thus, qSR serves to facilitate the study of protein organization and dynamics with very high spatial and temporal resolutions directly in live cell.
format	article
author	J. O. Andrews W. Conway W -K. Cho A. Narayanan J -H. Spille N. Jayanth T. Inoue S. Mullen J. Thaler I. I. Cissé
author_facet	J. O. Andrews W. Conway W -K. Cho A. Narayanan J -H. Spille N. Jayanth T. Inoue S. Mullen J. Thaler I. I. Cissé
author_sort	J. O. Andrews
title	qSR: a quantitative super-resolution analysis tool reveals the cell-cycle dependent organization of RNA Polymerase I in live human cells
title_short	qSR: a quantitative super-resolution analysis tool reveals the cell-cycle dependent organization of RNA Polymerase I in live human cells
title_full	qSR: a quantitative super-resolution analysis tool reveals the cell-cycle dependent organization of RNA Polymerase I in live human cells
title_fullStr	qSR: a quantitative super-resolution analysis tool reveals the cell-cycle dependent organization of RNA Polymerase I in live human cells
title_full_unstemmed	qSR: a quantitative super-resolution analysis tool reveals the cell-cycle dependent organization of RNA Polymerase I in live human cells
title_sort	qsr: a quantitative super-resolution analysis tool reveals the cell-cycle dependent organization of rna polymerase i in live human cells
publisher	Nature Portfolio
publishDate	2018
url	https://doaj.org/article/9142ddcc0bf44d48baf4957c07989089
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qSR: a quantitative super-resolution analysis tool reveals the cell-cycle dependent organization of RNA Polymerase I in live human cells

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