Literature DB >> 25568129

Combinatorial mutagenesis of the voltage-sensing domain enables the optical resolution of action potentials firing at 60 Hz by a genetically encoded fluorescent sensor of membrane potential.

Hong Hua Piao1, Dhanarajan Rajakumar1, Bok Eum Kang1, Eun Ha Kim1, Bradley J Baker2.   

Abstract

ArcLight is a genetically encoded fluorescent voltage sensor using the voltage-sensing domain of the voltage-sensing phosphatase from Ciona intestinalis that gives a large but slow-responding optical signal in response to changes in membrane potential (Jin et al., 2012). Fluorescent voltage sensors using the voltage-sensing domain from other species give faster yet weaker optical signals (Baker et al., 2012; Han et al., 2013). Sequence alignment of voltage-sensing phosphatases from different species revealed conserved polar and charged residues at 7 aa intervals in the S1-S3 transmembrane segments of the voltage-sensing domain, suggesting potential coil-coil interactions. The contribution of these residues to the voltage-induced optical signal was tested using a cassette mutagenesis screen by flanking each transmembrane segment with unique restriction sites to allow for the testing of individual mutations in each transmembrane segment, as well as combinations in all four transmembrane segments. Addition of a counter charge in S2 improved the kinetics of the optical response. A double mutation in the S4 domain dramatically reduced the slow component of the optical signal seen in ArcLight. Combining that double S4 mutant with the mutation in the S2 domain yielded a probe with kinetics <10 ms. Optimization of the linker sequence between S4 and the fluorescent protein resulted in a new ArcLight-derived probe, Bongwoori, capable of resolving action potentials in a hippocampal neuron firing at 60 Hz. Additional manipulation of the voltage-sensing domain could potentially lead to fluorescent sensors capable of optically resolving neuronal inhibition and subthreshold synaptic activity.
Copyright © 2015 the authors 0270-6474/15/350372-15$15.00/0.

Entities:  

Keywords:  fluorescent protein; omega current; voltage imaging; voltage sensor; voltage-sensing domain; voltage-sensing phosphatase

Mesh:

Substances:

Year:  2015        PMID: 25568129      PMCID: PMC6605254          DOI: 10.1523/JNEUROSCI.3008-14.2015

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  37 in total

1.  Two-Photon Lifetime Imaging of Voltage Indicating Proteins as a Probe of Absolute Membrane Voltage.

Authors:  Daan Brinks; Aaron J Klein; Adam E Cohen
Journal:  Biophys J       Date:  2015-09-01       Impact factor: 4.033

2.  Imaging Membrane Potential with Two Types of Genetically Encoded Fluorescent Voltage Sensors.

Authors:  Sungmoo Lee; Hong Hua Piao; Masoud Sepheri-Rad; Arong Jung; Uhna Sung; Yoon-Kyu Song; Bradley J Baker
Journal:  J Vis Exp       Date:  2016-02-04       Impact factor: 1.355

Review 3.  High throughput physiological screening of iPSC-derived cardiomyocytes for drug development.

Authors:  Juan C Del Álamo; Derek Lemons; Ricardo Serrano; Alex Savchenko; Fabio Cerignoli; Rolf Bodmer; Mark Mercola
Journal:  Biochim Biophys Acta       Date:  2016-03-04

Review 4.  Genetically Encoded Voltage Indicators: Opportunities and Challenges.

Authors:  Helen H Yang; François St-Pierre
Journal:  J Neurosci       Date:  2016-09-28       Impact factor: 6.167

Review 5.  Voltage and Calcium Imaging of Brain Activity.

Authors:  Masoud Sepehri Rad; Yunsook Choi; Lawrence B Cohen; Bradley J Baker; Sheng Zhong; Douglas A Storace; Oliver R Braubach
Journal:  Biophys J       Date:  2017-11-01       Impact factor: 4.033

6.  Fast, in vivo voltage imaging using a red fluorescent indicator.

Authors:  Madhuvanthi Kannan; Ganesh Vasan; Cheng Huang; Simon Haziza; Jin Zhong Li; Hakan Inan; Mark J Schnitzer; Vincent A Pieribone
Journal:  Nat Methods       Date:  2018-11-12       Impact factor: 28.547

Review 7.  Designs and sensing mechanisms of genetically encoded fluorescent voltage indicators.

Authors:  François St-Pierre; Mariya Chavarha; Michael Z Lin
Journal:  Curr Opin Chem Biol       Date:  2015-06-12       Impact factor: 8.822

8.  Fast two-photon imaging of subcellular voltage dynamics in neuronal tissue with genetically encoded indicators.

Authors:  Simon Chamberland; Helen H Yang; Michael M Pan; Stephen W Evans; Sihui Guan; Mariya Chavarha; Ying Yang; Charleen Salesse; Haodi Wu; Joseph C Wu; Thomas R Clandinin; Katalin Toth; Michael Z Lin; François St-Pierre
Journal:  Elife       Date:  2017-07-27       Impact factor: 8.140

Review 9.  Genetically encoded indicators of neuronal activity.

Authors:  Michael Z Lin; Mark J Schnitzer
Journal:  Nat Neurosci       Date:  2016-08-26       Impact factor: 24.884

Review 10.  Toward Better Genetically Encoded Sensors of Membrane Potential.

Authors:  Douglas Storace; Masoud Sepehri Rad; BokEum Kang; Lawrence B Cohen; Thom Hughes; Bradley J Baker
Journal:  Trends Neurosci       Date:  2016-05       Impact factor: 13.837

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