Evidence map›Paper›PMID 28527343›Full record

ReviewCurrent opinion in chemical biology2017

Engineering genetically-encoded tools for optogenetic control of protein activity.

Qi Liu, Chandra L Tucker

Abstract readReview
In one paragraph

Review in Current opinion in chemical biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

26 citing papers in PubMed.

  1. Protein design accelerates the development and application of optogenetic tools.Computational and structural biotechnology journal · 2025
    Review
  2. Article
  3. Expanding the Genetic Code ofACS chemical biology · 2024
    Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Photoactivatable Cre knock-in mice for spatiotemporal control of genetic engineering in vivo.Laboratory investigation; a journal of technical methods and pathology · 2021
    Article
  11. Article
  12. Article
  13. Engineering Photosensory Modules of Non-Opsin-Based Optogenetic Actuators.International journal of molecular sciences · 2020
    Review
  14. Article
  15. Review
  16. Article
  17. Article
  18. Controlling protein conformation with light.Current opinion in structural biology · 2019
    Review
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Qi LiuDepartment of Pharmacology, University of Colorado School of Medicine, Aurora, CO 80045, USA.
Chandra L TuckerDepartment of Pharmacology, University of Colorado School of Medicine, Aurora, CO 80045, USA. Electronic address: chandra.tucker@ucdenver.edu.

Funding

Control of Protein Activity Via Light Stimulated DimerizersR01GM100225 · NIGMS · UNIVERSITY OF COLORADO DENVER · PI TUCKER, CHANDRA L · 2012 to 2019
$3.3M
Optical tools for extended neural silencingR21EY026363 · NEI · UNIVERSITY OF COLORADO DENVER · PI KENNEDY, MATTHEW J, TUCKER, CHANDRA L · 2015 to 2016
$464k
NEI NIH HHS R21 EY026363NIGMS NIH HHS R01 GM100225
6 · The paper itself

Abstract

Optogenetic tools offer fast and reversible control of protein activity with subcellular spatial precision. In the past few years, remarkable progress has been made in engineering photoactivatable systems regulating the activity of cellular proteins. In this review, we discuss general strategies in designing and optimizing such optogenetic tools and highlight recent advances in the field, with specific focus on applications regulating protein catalytic activity.

Indexed as

AnimalsHumansModels, MolecularOptogeneticsPhotochemical ProcessesProtein EngineeringProteinsProteins

Identifiers

PMID28527343
PMCPMC5693790

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.