Evidence map›Paper›PMID 28552428›Full record

ReviewTrends in biotechnology2017

Optogenetic Approaches to Drug Discovery in Neuroscience and Beyond.

Hongkang Zhang, Adam E Cohen

Abstract readReview
In one paragraph

Review in Trends in biotechnology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Cardiac optogenetics: a decade of enlightenment.Nature reviews. Cardiology · 2021
    Review
  7. Article
  8. Article
  9. Light-Controlled Mammalian Cells and Their Therapeutic Applications in Synthetic Biology.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2019
    Review
  10. Article
  11. Article
  12. Review
  13. 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.

Hongkang ZhangDepartment of Chemistry and Chemical Biology, Howard Hughes Medical Institute, Department of Physics, Harvard University, Cambridge, MA 02138, USA.
Adam E CohenDepartment of Chemistry and Chemical Biology, Howard Hughes Medical Institute, Department of Physics, Harvard University, Cambridge, MA 02138, USA. Electronic address: cohen@chemistry.harvard.edu.

Funding

Optical sensing of voltage, pH, and small molecules using microbial rhodopsinsDP2OD007428 · OD · HARVARD UNIVERSITY · PI COHEN, ADAM EZRA · 2010 to 2010
$2.5M
Engineering Microbial Rhodopsins as Optical Voltage SensorsR01EB012498 · NIBIB · HARVARD UNIVERSITY · PI COHEN, ADAM EZRA · 2011 to 2014
$1.5M
Howard Hughes Medical InstituteNIBIB NIH HHS R01 EB012498NIH HHS DP2 OD007428
6 · The paper itself

Abstract

Recent advances in optogenetics have opened new routes to drug discovery, particularly in neuroscience. Physiological cellular assays probe functional phenotypes that connect genomic data to patient health. Optogenetic tools, in particular tools for all-optical electrophysiology, now provide a means to probe cellular disease models with unprecedented throughput and information content. These techniques promise to identify functional phenotypes associated with disease states and to identify compounds that improve cellular function regardless of whether the compound acts directly on a target or through a bypass mechanism. This review discusses opportunities and unresolved challenges in applying optogenetic techniques throughout the discovery pipeline - from target identification and validation, to target-based and phenotypic screens, to clinical trials.

Indexed as

AnimalsDrug DiscoveryHumansNeurosciencesOptogeneticsdrug discoveryneuroscienceoptogeneticsoptopatchphenotypic screening

Identifiers

PMID28552428
PMCPMC5495001

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.