Literature DB >> 24025032

Quantifying transcription factor kinetics: at work or at play?

Florian Mueller1, Timothy J Stasevich, Davide Mazza, James G McNally.   

Abstract

Transcription factors (TFs) interact dynamically in vivo with chromatin binding sites. Here we summarize and compare the four different techniques that are currently used to measure these kinetics in live cells, namely fluorescence recovery after photobleaching (FRAP), fluorescence correlation spectroscopy (FCS), single molecule tracking (SMT) and competition ChIP (CC). We highlight the principles underlying each of these approaches as well as their advantages and disadvantages. A comparison of data from each of these techniques raises an important question: do measured transcription kinetics reflect biologically functional interactions at specific sites (i.e. working TFs) or do they reflect non-specific interactions (i.e. playing TFs)? To help resolve this dilemma we discuss five key unresolved biological questions related to the functionality of transient and prolonged binding events at both specific promoter response elements as well as non-specific sites. In support of functionality, we review data suggesting that TF residence times are tightly regulated, and that this regulation modulates transcriptional output at single genes. We argue that in addition to this site-specific regulatory role, TF residence times also determine the fraction of promoter targets occupied within a cell thereby impacting the functional status of cellular gene networks. Thus, TF residence times are key parameters that could influence transcription in multiple ways.

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Year:  2013        PMID: 24025032     DOI: 10.3109/10409238.2013.833891

Source DB:  PubMed          Journal:  Crit Rev Biochem Mol Biol        ISSN: 1040-9238            Impact factor:   8.250


  49 in total

Review 1.  Pioneer factors and ATP-dependent chromatin remodeling factors interact dynamically: A new perspective: Multiple transcription factors can effect chromatin pioneer functions through dynamic interactions with ATP-dependent chromatin remodeling factors.

Authors:  Erin E Swinstead; Ville Paakinaho; Diego M Presman; Gordon L Hager
Journal:  Bioessays       Date:  2016-09-16       Impact factor: 4.345

2.  A New Mechanism for Mendelian Dominance in Regulatory Genetic Pathways: Competitive Binding by Transcription Factors.

Authors:  Adam H Porter; Norman A Johnson; Alexander Y Tulchinsky
Journal:  Genetics       Date:  2016-11-18       Impact factor: 4.562

3.  Mitotic binding of Esrrb marks key regulatory regions of the pluripotency network.

Authors:  Nicola Festuccia; Agnès Dubois; Sandrine Vandormael-Pournin; Elena Gallego Tejeda; Adrien Mouren; Sylvain Bessonnard; Florian Mueller; Caroline Proux; Michel Cohen-Tannoudji; Pablo Navarro
Journal:  Nat Cell Biol       Date:  2016-10-10       Impact factor: 28.824

4.  Quantifying transcription factor binding dynamics at the single-molecule level in live cells.

Authors:  Diego M Presman; David A Ball; Ville Paakinaho; Jonathan B Grimm; Luke D Lavis; Tatiana S Karpova; Gordon L Hager
Journal:  Methods       Date:  2017-03-15       Impact factor: 3.608

Review 5.  Facilitated Unbinding via Multivalency-Enabled Ternary Complexes: New Paradigm for Protein-DNA Interactions.

Authors:  Tai-Yen Chen; Yu-Shan Cheng; Pei-San Huang; Peng Chen
Journal:  Acc Chem Res       Date:  2018-01-25       Impact factor: 22.384

6.  Robust model-based analysis of single-particle tracking experiments with Spot-On.

Authors:  Anders S Hansen; Maxime Woringer; Jonathan B Grimm; Luke D Lavis; Robert Tjian; Xavier Darzacq
Journal:  Elife       Date:  2018-01-04       Impact factor: 8.140

7.  Stochastic dynamics of genetic broadcasting networks.

Authors:  Davit A Potoyan; Peter G Wolynes
Journal:  Phys Rev E       Date:  2017-11-03       Impact factor: 2.529

8.  Single-Molecule Analysis Reveals Linked Cycles of RSC Chromatin Remodeling and Ace1p Transcription Factor Binding in Yeast.

Authors:  Gunjan D Mehta; David A Ball; Peter R Eriksson; Razvan V Chereji; David J Clark; James G McNally; Tatiana S Karpova
Journal:  Mol Cell       Date:  2018-10-11       Impact factor: 17.970

9.  Single-Molecule Tracking and Its Application in Biomolecular Binding Detection.

Authors:  Cong Liu; Yen-Liang Liu; Evan P Perillo; Andrew K Dunn; Hsin-Chih Yeh
Journal:  IEEE J Sel Top Quantum Electron       Date:  2016-05-17       Impact factor: 4.544

Review 10.  NMR-based investigations into target DNA search processes of proteins.

Authors:  Junji Iwahara; Levani Zandarashvili; Catherine A Kemme; Alexandre Esadze
Journal:  Methods       Date:  2018-05-10       Impact factor: 3.608

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