Cargando…
Single-molecule tracking of the transcription cycle by sub-second RNA detection
Transcription is an inherently stochastic, noisy, and multi-step process, in which fluctuations at every step can cause variations in RNA synthesis, and affect physiology and differentiation decisions in otherwise identical cells. However, it has been an experimental challenge to directly link the s...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3901038/ https://www.ncbi.nlm.nih.gov/pubmed/24473079 http://dx.doi.org/10.7554/eLife.01775 |
_version_ | 1782300793575047168 |
---|---|
author | Zhang, Zhengjian Revyakin, Andrey Grimm, Jonathan B Lavis, Luke D Tjian, Robert |
author_facet | Zhang, Zhengjian Revyakin, Andrey Grimm, Jonathan B Lavis, Luke D Tjian, Robert |
author_sort | Zhang, Zhengjian |
collection | PubMed |
description | Transcription is an inherently stochastic, noisy, and multi-step process, in which fluctuations at every step can cause variations in RNA synthesis, and affect physiology and differentiation decisions in otherwise identical cells. However, it has been an experimental challenge to directly link the stochastic events at the promoter to transcript production. Here we established a fast fluorescence in situ hybridization (fastFISH) method that takes advantage of intrinsically unstructured nucleic acid sequences to achieve exceptionally fast rates of specific hybridization (∼10e7 M(−1)s(−1)), and allows deterministic detection of single nascent transcripts. Using a prototypical RNA polymerase, we demonstrated the use of fastFISH to measure the kinetic rates of promoter escape, elongation, and termination in one assay at the single-molecule level, at sub-second temporal resolution. The principles of fastFISH design can be used to study stochasticity in gene regulation, to select targets for gene silencing, and to design nucleic acid nanostructures. DOI: http://dx.doi.org/10.7554/eLife.01775.001 |
format | Online Article Text |
id | pubmed-3901038 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-39010382014-01-29 Single-molecule tracking of the transcription cycle by sub-second RNA detection Zhang, Zhengjian Revyakin, Andrey Grimm, Jonathan B Lavis, Luke D Tjian, Robert eLife Biophysics and Structural Biology Transcription is an inherently stochastic, noisy, and multi-step process, in which fluctuations at every step can cause variations in RNA synthesis, and affect physiology and differentiation decisions in otherwise identical cells. However, it has been an experimental challenge to directly link the stochastic events at the promoter to transcript production. Here we established a fast fluorescence in situ hybridization (fastFISH) method that takes advantage of intrinsically unstructured nucleic acid sequences to achieve exceptionally fast rates of specific hybridization (∼10e7 M(−1)s(−1)), and allows deterministic detection of single nascent transcripts. Using a prototypical RNA polymerase, we demonstrated the use of fastFISH to measure the kinetic rates of promoter escape, elongation, and termination in one assay at the single-molecule level, at sub-second temporal resolution. The principles of fastFISH design can be used to study stochasticity in gene regulation, to select targets for gene silencing, and to design nucleic acid nanostructures. DOI: http://dx.doi.org/10.7554/eLife.01775.001 eLife Sciences Publications, Ltd 2014-01-28 /pmc/articles/PMC3901038/ /pubmed/24473079 http://dx.doi.org/10.7554/eLife.01775 Text en Copyright © 2013, Zhang et al http://creativecommons.org/licenses/by/3.0/ This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Biophysics and Structural Biology Zhang, Zhengjian Revyakin, Andrey Grimm, Jonathan B Lavis, Luke D Tjian, Robert Single-molecule tracking of the transcription cycle by sub-second RNA detection |
title | Single-molecule tracking of the transcription cycle by sub-second RNA detection |
title_full | Single-molecule tracking of the transcription cycle by sub-second RNA detection |
title_fullStr | Single-molecule tracking of the transcription cycle by sub-second RNA detection |
title_full_unstemmed | Single-molecule tracking of the transcription cycle by sub-second RNA detection |
title_short | Single-molecule tracking of the transcription cycle by sub-second RNA detection |
title_sort | single-molecule tracking of the transcription cycle by sub-second rna detection |
topic | Biophysics and Structural Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3901038/ https://www.ncbi.nlm.nih.gov/pubmed/24473079 http://dx.doi.org/10.7554/eLife.01775 |
work_keys_str_mv | AT zhangzhengjian singlemoleculetrackingofthetranscriptioncyclebysubsecondrnadetection AT revyakinandrey singlemoleculetrackingofthetranscriptioncyclebysubsecondrnadetection AT grimmjonathanb singlemoleculetrackingofthetranscriptioncyclebysubsecondrnadetection AT lavisluked singlemoleculetrackingofthetranscriptioncyclebysubsecondrnadetection AT tjianrobert singlemoleculetrackingofthetranscriptioncyclebysubsecondrnadetection |