Literature DB >> 24379392

Spatial organization of RNA polymerase II inside a mammalian cell nucleus revealed by reflected light-sheet superresolution microscopy.

Ziqing W Zhao1, Rahul Roy, J Christof M Gebhardt, David M Suter, Alec R Chapman, X Sunney Xie.   

Abstract

Superresolution microscopy based on single-molecule centroid determination has been widely applied to cellular imaging in recent years. However, quantitative imaging of the mammalian nucleus has been challenging due to the lack of 3D optical sectioning methods for normal-sized cells, as well as the inability to accurately count the absolute copy numbers of biomolecules in highly dense structures. Here we report a reflected light-sheet superresolution microscopy method capable of imaging inside the mammalian nucleus with superior signal-to-background ratio as well as molecular counting with single-copy accuracy. Using reflected light-sheet superresolution microscopy, we probed the spatial organization of transcription by RNA polymerase II (RNAP II) molecules and quantified their global extent of clustering inside the mammalian nucleus. Spatiotemporal clustering analysis that leverages on the blinking photophysics of specific organic dyes showed that the majority (>70%) of the transcription foci originate from single RNAP II molecules, and no significant clustering between RNAP II molecules was detected within the length scale of the reported diameter of "transcription factories." Colocalization measurements of RNAP II molecules equally labeled by two spectrally distinct dyes confirmed the primarily unclustered distribution, arguing against a prevalent existence of transcription factories in the mammalian nucleus as previously proposed. The methods developed in our study pave the way for quantitative mapping and stoichiometric characterization of key biomolecular species deep inside mammalian cells.

Entities:  

Keywords:  intracellular molecular counting; mammalian gene transcription; nuclear organization; quantitative fluorescence microscopy

Mesh:

Substances:

Year:  2013        PMID: 24379392      PMCID: PMC3896202          DOI: 10.1073/pnas.1318496111

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  42 in total

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Review 2.  Organization of transcription.

Authors:  Lyubomira Chakalova; Peter Fraser
Journal:  Cold Spring Harb Perspect Biol       Date:  2010-07-28       Impact factor: 10.005

3.  Numbers and organization of RNA polymerases, nascent transcripts, and transcription units in HeLa nuclei.

Authors:  D A Jackson; F J Iborra; E M Manders; P R Cook
Journal:  Mol Biol Cell       Date:  1998-06       Impact factor: 4.138

Review 4.  Transcription factories: genetic programming in three dimensions.

Authors:  Lucas Brandon Edelman; Peter Fraser
Journal:  Curr Opin Genet Dev       Date:  2012-02-23       Impact factor: 5.578

5.  Active genes dynamically colocalize to shared sites of ongoing transcription.

Authors:  Cameron S Osborne; Lyubomira Chakalova; Karen E Brown; David Carter; Alice Horton; Emmanuel Debrand; Beatriz Goyenechea; Jennifer A Mitchell; Susana Lopes; Wolf Reik; Peter Fraser
Journal:  Nat Genet       Date:  2004-09-07       Impact factor: 38.330

6.  Counting molecules in single organelles with superresolution microscopy allows tracking of the endosome maturation trajectory.

Authors:  Elias M Puchner; Jessica M Walter; Robert Kasper; Bo Huang; Wendell A Lim
Journal:  Proc Natl Acad Sci U S A       Date:  2013-09-16       Impact factor: 11.205

7.  Fast, three-dimensional super-resolution imaging of live cells.

Authors:  Sara A Jones; Sang-Hee Shim; Jiang He; Xiaowei Zhuang
Journal:  Nat Methods       Date:  2011-05-08       Impact factor: 28.547

8.  Correlation functions quantify super-resolution images and estimate apparent clustering due to over-counting.

Authors:  Sarah L Veatch; Benjamin B Machta; Sarah A Shelby; Ethan N Chiang; David A Holowka; Barbara A Baird
Journal:  PLoS One       Date:  2012-02-27       Impact factor: 3.240

9.  Transcription factories.

Authors:  Dietmar Rieder; Zlatko Trajanoski; James G McNally
Journal:  Front Genet       Date:  2012-10-23       Impact factor: 4.599

10.  Single-molecule imaging of transcription factor binding to DNA in live mammalian cells.

Authors:  J Christof M Gebhardt; David M Suter; Rahul Roy; Ziqing W Zhao; Alec R Chapman; Srinjan Basu; Tom Maniatis; X Sunney Xie
Journal:  Nat Methods       Date:  2013-03-24       Impact factor: 28.547

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  56 in total

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Review 2.  The Necessity of Chromatin: A View in Perspective.

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Review 3.  High-throughput single-molecule studies of protein-DNA interactions.

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Review 4.  Control of mammalian gene expression by selective mRNA export.

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5.  Direct visualization of cardiac transcription factories reveals regulatory principles of nuclear architecture during pathological remodeling.

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6.  Modelling and measuring intracellular competition for finite resources during gene expression.

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Journal:  J R Soc Interface       Date:  2019-05-31       Impact factor: 4.118

7.  Single-Molecule Nanoscopy Elucidates RNA Polymerase II Transcription at Single Genes in Live Cells.

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Review 8.  Tracking single molecules at work in living cells.

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Journal:  Nat Chem Biol       Date:  2014-07       Impact factor: 15.040

Review 9.  Lights, camera, action! Capturing the spliceosome and pre-mRNA splicing with single-molecule fluorescence microscopy.

Authors:  Alexander C DeHaven; Ian S Norden; Aaron A Hoskins
Journal:  Wiley Interdiscip Rev RNA       Date:  2016-05-20       Impact factor: 9.957

10.  RNA Polymerase II cluster dynamics predict mRNA output in living cells.

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