Evidence map›Paper›PMID 33722063›Full record

ReviewAnnual review of biomedical engineering2021

Signaling, Deconstructed: Using Optogenetics to Dissect and Direct Information Flow in Biological Systems.

Payam E Farahani, Ellen H Reed, Evan J Underhill, Kazuhiro Aoki, Jared E Toettcher

Abstract readReview
In one paragraph

Review in Annual review of biomedical engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

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  16. Optogenetic Signaling Activation in Zebrafish Embryos.Journal of visualized experiments : JoVE · 2023
    Article
  17. Article
  18. Review
  19. Article
  20. Review
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

5 authors.

Payam E FarahaniDepartment of Chemical and Biological Engineering, Princeton University, Princeton, New Jersey 08544, USA.
Ellen H ReedDepartment of Molecular Biology, Princeton University, Princeton, New Jersey 08544, USA.
Evan J UnderhillDepartment of Chemical and Biological Engineering, Princeton University, Princeton, New Jersey 08544, USA.
Kazuhiro AokiInternational Research Collaboration Center (IRCC), National Institutes of Natural Sciences, Tokyo 105-0001, Japan.
Jared E ToettcherDepartment of Molecular Biology, Princeton University, Princeton, New Jersey 08544, USA.

Funding

Harnessing optogenetics to diagnose and therapeutically rewire cancer cell signalingDP2EB024247 · NIBIB · PRINCETON UNIVERSITY · PI TOETTCHER, JARED E · 2016 to 2016
$2.4M
NIBIB NIH HHS DP2 EB024247
6 · The paper itself

Abstract

Cells receive enormous amounts of information from their environment. How they act on this information-by migrating, expressing genes, or relaying signals to other cells-comprises much of the regulatory and self-organizational complexity found across biology. The "parts list" involved in cell signaling is generally well established, but how do these parts work together to decode signals and produce appropriate responses? This fundamental question is increasingly being addressed with optogenetic tools: light-sensitive proteins that enable biologists to manipulate the interaction, localization, and activity state of proteins with high spatial and temporal precision. In this review, we summarize how optogenetics is being used in the pursuit of an answer to this question, outlining the current suite of optogenetic tools available to the researcher and calling attention to studies that increase our understanding of and improve our ability to engineer biology.

Indexed as

LightOptogeneticsProteinsSignal TransductionProteinscell signalingdevelopmental biologyoptogeneticssynthetic biology

Identifiers

PMID33722063
PMCPMC10436267

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.