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

P. Hoboth, O. Šebesta, P. Hozák

. 2021 ; 22 (13) : . [pub] 20210622

Language English Country Switzerland

Document type Journal Article, Review

Persistent link   https://www.medvik.cz/link/bmc21025544

Grant support
LM2018129 Ministry of Education, Youth and Science
CZ.02.1.01/0.0/0.0/18_046/0016045 Ministry of Education, Youth and Science
CZ.02.1.01/0.0/0.0/16_013/0001775 European Regional Development Fund
CZ.1.05/4.1.00/16.0347 European Regional Development Fund
CZ.2.16/3.1.00/21515 European Regional Development Fund
NPUI LO1220 and LO1419 (RVO: 68378050-KAV-NPUI) National Program of Sustainability
19-05608S Grantová Agentura České Republiky
18-19714S Grantová Agentura České Republiky
JSPS-20-06 Akademie Věd České Republiky
RVO: 68378050 Institutional Research Concept of the Institute of Molecular Genetics
COST Inter-excellence internship LTC19048 Ministry of Education, Youth and Science
LTC20024 Ministry of Education, Youth and Science
Action 15214 EuroCellnet Ministry of Education, Youth and Science

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.

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