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Rhodopsin

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Cover of 'Rhodopsin'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Microbial Rhodopsins
  3. Altmetric Badge
    Chapter 2 Molecular Biology of Microbial Rhodopsins
  4. Altmetric Badge
    Chapter 3 Rhodopsin-Based Optogenetics: Basics and Applications
  5. Altmetric Badge
    Chapter 4 Searching Metagenomes for New Rhodopsins
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    Chapter 5 E. coli Expression and Purification of Microbial and Viral Rhodopsins
  7. Altmetric Badge
    Chapter 6 Crystallization of Microbial Rhodopsins
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    Chapter 7 Crystallographic Studies of Rhodopsins: Structure and Dynamics
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    Chapter 8 Time-Resolved UV-VIS Spectroscopy of Microbial Rhodopsins
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    Chapter 9 Solid-State NMR Spectroscopy on Microbial Rhodopsins
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    Chapter 10 FTIR and Raman Spectroscopy of Rhodopsins.
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    Chapter 11 Single-Cell Resolution Optogenetics Via Expression of Soma-Targeted Rhodopsins
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    Chapter 12 Electrophysiological Characterization of Microbial Rhodopsin Transport Properties: Electrometric and ΔpH Measurements Using Planar Lipid Bilayer, Collodion Film, and Fluorescent Probe Approaches
  14. Altmetric Badge
    Chapter 13 Electrophysiological Characterization of Microbial Rhodopsins by Patch-Clamp Experiments
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    Chapter 14 Molecular Optimization of Rhodopsin-Based Tools for Neuroscience Applications.
  16. Altmetric Badge
    Chapter 15 Optogenetic Studies of Mitochondria
  17. Altmetric Badge
    Chapter 16 In Vivo and In Vitro Characterization of Cyclase and Phosphodiesterase Rhodopsins
  18. Altmetric Badge
    Chapter 17 Optogenetic Control of Human Stem Cell-Derived Neurons
Attention for Chapter 14: Molecular Optimization of Rhodopsin-Based Tools for Neuroscience Applications.
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Chapter title
Molecular Optimization of Rhodopsin-Based Tools for Neuroscience Applications.
Chapter number 14
Book title
Rhodopsin
Published in
Methods in molecular biology, January 2022
DOI 10.1007/978-1-0716-2329-9_14
Pubmed ID
Book ISBNs
978-1-07-162328-2, 978-1-07-162329-9
Authors

Fenno, Lief E., Levy, Rivka, Yizhar, Ofer

Abstract

There is no question that genetically encoded tools have revolutionized neuroscience. These include optically modulated tools for writing-in (optogenetics) and reading-out (calcium, voltage, and neurotransmitter indicators) neural activity as well as precision expression of these reagents using virally mediated delivery. With few exceptions, these powerful approaches are derived from naturally occurring molecules that are sourced from diverse organisms that span all kingdoms of life. Successful expression of genetic tools in standard neuroscience model organisms requires optimizing gene structure, taking into account differences in both protein translation and trafficking. Myriad approaches have resolved these two challenges, resulting in order-of-magnitude increases in functional expression. In this chapter, we focus on synthesizing prior experience in successfully enabling the transition of genes across kingdoms with a goal of facilitating the production of the next generation of molecular tools for neuroscience. We then provide a detailed protocol that allows expression and testing of novel genetically encoded tools in mammalian cell lines and primary cultured neurons.

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 33%
Student > Postgraduate 1 33%
Unknown 1 33%
Readers by discipline Count As %
Unspecified 1 33%
Biochemistry, Genetics and Molecular Biology 1 33%
Unknown 1 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 July 2022.
All research outputs
#20,688,655
of 23,285,523 outputs
Outputs from Methods in molecular biology
#10,097
of 13,326 outputs
Outputs of similar age
#415,493
of 507,564 outputs
Outputs of similar age from Methods in molecular biology
#397
of 596 outputs
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