DC Field | Value | Language |
---|---|---|
dc.contributor.author | Andrews, J. O. | ko |
dc.contributor.author | Conway, W. | ko |
dc.contributor.author | Cho, Won-Ki | ko |
dc.contributor.author | Narayanan, A. | ko |
dc.contributor.author | Spille, J. -H. | ko |
dc.contributor.author | Jayanth, N. | ko |
dc.contributor.author | Inoue, T. | ko |
dc.contributor.author | Mullen, S. | ko |
dc.contributor.author | Thaler, J. | ko |
dc.contributor.author | Cisse, I. I. | ko |
dc.date.accessioned | 2019-04-18T02:30:02Z | - |
dc.date.available | 2019-04-18T02:30:02Z | - |
dc.date.created | 2019-04-17 | - |
dc.date.created | 2019-04-17 | - |
dc.date.created | 2019-04-17 | - |
dc.date.issued | 2018-05 | - |
dc.identifier.citation | SCIENTIFIC REPORTS, v.8 | - |
dc.identifier.issn | 2045-2322 | - |
dc.identifier.uri | http://hdl.handle.net/10203/261031 | - |
dc.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. | - |
dc.language | English | - |
dc.publisher | NATURE PUBLISHING GROUP | - |
dc.title | qSR: a quantitative super-resolution analysis tool reveals the cell-cycle dependent organization of RNA Polymerase I in live human cells | - |
dc.type | Article | - |
dc.identifier.wosid | 000431737300110 | - |
dc.identifier.scopusid | 2-s2.0-85046877060 | - |
dc.type.rims | ART | - |
dc.citation.volume | 8 | - |
dc.citation.publicationname | SCIENTIFIC REPORTS | - |
dc.identifier.doi | 10.1038/s41598-018-25454-0 | - |
dc.contributor.localauthor | Cho, Won-Ki | - |
dc.contributor.nonIdAuthor | Andrews, J. O. | - |
dc.contributor.nonIdAuthor | Conway, W. | - |
dc.contributor.nonIdAuthor | Narayanan, A. | - |
dc.contributor.nonIdAuthor | Spille, J. -H. | - |
dc.contributor.nonIdAuthor | Jayanth, N. | - |
dc.contributor.nonIdAuthor | Inoue, T. | - |
dc.contributor.nonIdAuthor | Mullen, S. | - |
dc.contributor.nonIdAuthor | Thaler, J. | - |
dc.contributor.nonIdAuthor | Cisse, I. I. | - |
dc.description.isOpenAccess | N | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordPlus | RDNA TRANSCRIPTION | - |
dc.subject.keywordPlus | RESOLUTION LIMIT | - |
dc.subject.keywordPlus | MICROSCOPY | - |
dc.subject.keywordPlus | NUCLEOLUS | - |
dc.subject.keywordPlus | IMAGEJ | - |
dc.subject.keywordPlus | DYNAMICS | - |
dc.subject.keywordPlus | MITOSIS | - |
dc.subject.keywordPlus | GENES | - |
dc.subject.keywordPlus | PALM | - |
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