Literature DB >> 23979999

Measuring transcription dynamics in living cells using fluctuation analysis.

Matthew L Ferguson1, Daniel R Larson.   

Abstract

Single-cell studies of gene regulation suggest that transcription dynamics play a fundamental role in determining expression heterogeneity within a population. In addition, the three-dimensional organization of the nucleus seems to both reflect and influence expression patterns in the cell. Therefore, to gain a holistic understanding of transcriptional regulation, it is necessary to develop methods for studying transcription of single genes in living cells with high spatial and temporal resolution. In this chapter, we describe a recently developed approach for visualizing and quantifying pre-mRNA synthesis at a single active gene in the nucleus. The approach is based on the high-affinity interaction between MS2/PP7 bacteriophage coat proteins and RNA hairpins which are transcribed by the gene of interest. The MS2/PP7 coat protein is fused to a fluorescent protein and binds the nascent mRNA, allowing for detection of single transcription events in the fluorescence microscope. By time-lapse fluorescence imaging and quantitative image analysis, one can generate a time trace of fluorescence intensity at the site of transcription. By temporal autocorrelation analysis, one can determine enzymatic activities of RNAP such as initiation rate and elongation rate. In this protocol, we summarize the experimental concept, design, and execution for real-time observation of transcription in living cells.

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Year:  2013        PMID: 23979999      PMCID: PMC6310616          DOI: 10.1007/978-1-62703-526-2_4

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  8 in total

1.  Fluctuation Analysis: Dissecting Transcriptional Kinetics with Signal Theory.

Authors:  A Coulon; D R Larson
Journal:  Methods Enzymol       Date:  2016-04-12       Impact factor: 1.600

2.  Intrinsic Dynamics of a Human Gene Reveal the Basis of Expression Heterogeneity.

Authors:  Joseph Rodriguez; Gang Ren; Christopher R Day; Keji Zhao; Carson C Chow; Daniel R Larson
Journal:  Cell       Date:  2018-12-13       Impact factor: 41.582

3.  Long-term imaging of individual mRNA molecules in living cells.

Authors:  Yue Guo; Robin E C Lee
Journal:  Cell Rep Methods       Date:  2022-05-25

4.  Kinetic competition during the transcription cycle results in stochastic RNA processing.

Authors:  Antoine Coulon; Matthew L Ferguson; Valeria de Turris; Murali Palangat; Carson C Chow; Daniel R Larson
Journal:  Elife       Date:  2014-10-01       Impact factor: 8.140

5.  Enhanced detection of expanded repeat mRNA foci with hybridization chain reaction.

Authors:  M Rebecca Glineburg; Yuan Zhang; Amy Krans; Elizabeth M Tank; Sami J Barmada; Peter K Todd
Journal:  Acta Neuropathol Commun       Date:  2021-04-23       Impact factor: 7.578

Review 6.  Nuclear envelope mechanobiology: linking the nuclear structure and function.

Authors:  Matthew Goelzer; Julianna Goelzer; Matthew L Ferguson; Corey P Neu; Gunes Uzer
Journal:  Nucleus       Date:  2021-12       Impact factor: 4.197

7.  Unraveling the molecular interactions involved in phase separation of glucocorticoid receptor.

Authors:  Martin Stortz; Adali Pecci; Diego M Presman; Valeria Levi
Journal:  BMC Biol       Date:  2020-06-02       Impact factor: 7.431

8.  Mammalian gene expression variability is explained by underlying cell state.

Authors:  Robert Foreman; Roy Wollman
Journal:  Mol Syst Biol       Date:  2020-02       Impact factor: 11.429

  8 in total

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