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How Single-Molecule Localization Microscopy Expanded Our Mechanistic Understanding of RNA Polymerase II Transcription

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    0554698 - ÚMG 2022 RIV CH eng J - Journal Article
    Hoboth, Peter - Sebesta, O. - Hozák, Pavel
    How Single-Molecule Localization Microscopy Expanded Our Mechanistic Understanding of RNA Polymerase II Transcription.
    International Journal of Molecular Sciences. Roč. 22, č. 13 (2021), č. článku 6694. E-ISSN 1422-0067
    R&D Projects: GA MŠMT(CZ) LM2018129; GA MŠMT(CZ) EF18_046/0016045; GA MŠMT LO1220; GA MŠMT LO1419; GA MŠMT(CZ) EF16_013/0001775; GA ČR GA19-05608S; GA ČR(CZ) GA18-19714S; GA MŠMT LTC19048; GA MŠMT LTC20024
    Research Infrastructure: Czech-BioImaging II - 90129
    Institutional support: RVO:68378050
    Keywords : cell nucleus * gene expression * transcription foci * transcription factors * super-resolution microscopy * structured illumination * stimulated emission depletion * stochastic optical reconstruction * photoactivation
    OECD category: Biochemistry and molecular biology
    Impact factor: 6.208, year: 2021
    Method of publishing: Open access
    https://www.mdpi.com/1422-0067/22/13/6694

    Classical models of gene expression were built using genetics and biochemistry. Although these approaches are powerful, they have very limited consideration of the spatial and temporal organization of gene expression. Although the spatial organization and dynamics of RNA polymerase II (RNAPII) transcription machinery have fundamental functional consequences for gene expression, its detailed studies have been abrogated by the limits of classical light microscopy for a long time. The advent of super-resolution microscopy (SRM) techniques allowed for the visualization of the RNAPII transcription machinery with nanometer resolution and millisecond precision. In this review, we summarize the recent methodological advances in SRM, focus on its application for studies of the nanoscale organization in space and time of RNAPII transcription, and discuss its consequences for the mechanistic understanding of gene expression.
    Permanent Link: http://hdl.handle.net/11104/0329367

     
     
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