Evidence map›Paper›PMID 37956352›Full record

ArticleACS sensors2023

Optogenetic Microwell Array Screening System: A High-Throughput Engineering Platform for Genetically Encoded Fluorescent Indicators.

Michael Rappleye, Sarah J Wait, Justin Daho Lee, Jamison C Siebart, Lily Torp, Netta Smith, Jeanot Muster, Kenneth A Matreyek, Douglas M Fowler, Andre Berndt

Open access · greenAbstract read
In one paragraph

Article in ACS sensors, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.8field-weighted citation impact, top 14% of its field
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

6 citing papers in PubMed, 12 citations in OpenAlex.

  1. Development of a Photostable pH Biosensor Based on mStayGold.Chembiochem : a European journal of chemical biology · 2026
    Article
  2. Islet Tissue Macrophages in Immunity Homeostasis and Type 1 Diabetes.Clinical reviews in allergy & immunology · 2025
    Review
  3. Genetically encoded sensors illuminateIBRO neuroscience reports · 2025
    Article
  4. Review
  5. Article
  6. 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

10 authors at 3 institutions in 1 country.

Michael RappleyeDepartment of Bioengineering, University of Washington, 850 Republican Street, Seattle, Washington 98105, United States.ORCID 0000-0002-2885-3406
Sarah J WaitInstitute of Stem Cell and Regenerative Medicine, University of Washington, 850 Republican Street, Seattle, Washington 98109, United States.ORCID 0000-0001-5660-2391
Justin Daho LeeInstitute of Stem Cell and Regenerative Medicine, University of Washington, 850 Republican Street, Seattle, Washington 98109, United States.ORCID 0000-0002-0284-2389
Jamison C SiebartThe Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, 313 Ferst Dr NW, Atlanta, Georgia 30332, United States.ORCID 0000-0002-0424-7487
Lily TorpDepartment of Bioengineering, University of Washington, 850 Republican Street, Seattle, Washington 98105, United States.
Netta SmithDepartment of Bioengineering, University of Washington, 850 Republican Street, Seattle, Washington 98105, United States.
Jeanot MusterDepartment of Bioengineering, University of Washington, 850 Republican Street, Seattle, Washington 98105, United States.ORCID 0000-0002-1972-6851
Kenneth A MatreyekDepartment of Pathology, Case Western Reserve University School of Medicine, 2103 Cornell Road, Wolstein Research Building, Cleveland, Ohio 44106, United States.ORCID 0000-0001-9149-551X
Douglas M FowlerDepartment of Genome Sciences, Foege Building S-250, 3720 15th Ave NE, Seattle, Washington 98195-5065, United States.ORCID 0000-0001-7614-1713
Andre BerndtDepartment of Bioengineering, University of Washington, 850 Republican Street, Seattle, Washington 98105, United States.ORCID 0000-0003-4758-5598
University of Washington · USCornell University · USGeorgia Institute of Technology · US

Funding

Technology to understand genetic variant effects in contextRM1HG010461 · NHGRI · UNIVERSITY OF WASHINGTON · PI Douglas M Fowler, Bruce Colston Trapnell · 2019 to 2026
$18.9M
University of Washington Center of Excellence in Opioid Addiction ResearchP30DA048736 · NIDA · UNIVERSITY OF WASHINGTON · PI Charles Chavkin · 2019 to 2026
$13.0M
Next Generation Opto-GPCRs for Neuromodulatory ControlU01NS128537 · NINDS · UNIVERSITY OF WASHINGTON · PI Andre Berndt, Michael R. Bruchas · 2023 to 2026
$4.4M
High-throughput engineering of ligand-selective fluorescent biosensors for detecting endogenous and exogenous opioidsRF1MH130391 · NIMH · UNIVERSITY OF WASHINGTON · PI BERNDT, ANDRE, BRUCHAS, MICHAEL R. · 2023 to 2023
$2.5M
Large-Scale Methods for Assessing the Consequences of Mutations in ProteinsR01GM109110 · NIGMS · UNIVERSITY OF WASHINGTON · PI FOWLER, DOUGLAS M · 2014 to 2021
$2.4M
Recombinant DNA technologies for multiplex genetic assays in human cellsR35GM142886 · NIGMS · CASE WESTERN RESERVE UNIVERSITY · PI MATREYEK, KENNETH A · 2021 to 2025
$2.0M
Structure-guided and high-throughput engineering of genetically encoded sensors for reactive oxygen speciesR01GM139850 · NIGMS · UNIVERSITY OF WASHINGTON · PI BERNDT, ANDRE · 2021 to 2024
$1.6M
Physiological and Molecular Mechanisms of Mu Opioid Receptors in Motivation and AffectR00DA049862 · NIDA · WASHINGTON UNIVERSITY · PI CASTRO, DANIEL CHARLES · 2022 to 2024
$747k
In vivo real-time monitoring of reactive oxygen species and opioid signaling in a model for opioid receptor activity.R21DA051193 · NIDA · UNIVERSITY OF WASHINGTON · PI BERNDT, ANDRE · 2021 to 2022
$461k
Physiological and Molecular Mechanisms of Mu Opioid Receptors in Motivation and AffectK99DA049862 · NIDA · UNIVERSITY OF WASHINGTON · PI CASTRO, DANIEL CHARLES · 2020 to 2021
$284k
Deciphering biased agonistic activation of mu-opioid receptor by novel optogenetic hydrogen peroxide sensorF31DA056121 · NIDA · UNIVERSITY OF WASHINGTON · PI LEE, JUSTIN · 2022 to 2024
$85k
NHGRI NIH HHS RM1 HG010461NIDA NIH HHS F31 DA056121NIDA NIH HHS K99 DA049862NIDA NIH HHS P30 DA048736NIDA NIH HHS R00 DA049862NIDA NIH HHS R21 DA051193NIGMS NIH HHS R01 GM109110NIGMS NIH HHS R01 GM139850NIGMS NIH HHS R35 GM142886NIMH NIH HHS RF1 MH130391NINDS NIH HHS U01 NS128537
6 · The paper itself

Abstract

Genetically encoded fluorescent indicators (GEFIs) are protein-based optogenetic tools that change their fluorescence intensity when binding specific ligands in cells and tissues. GEFI encoding DNA can be expressed in cell subtypes while monitoring cellular physiological responses. However, engineering GEFIs with physiological sensitivity and pharmacological specificity often requires iterative optimization through trial-and-error mutagenesis while assessing their biophysical function

Indexed as

DopamineOptogeneticsAnalgesics, OpioidAnimalsFluorescent DyesGreen Fluorescent ProteinsMammalsAnalgesics, OpioidDopamineFluorescent DyesGreen Fluorescent Proteinsdopaminefluorescent biosensorGPCRhigh throughput screeningopioidsprotein engineering

Identifiers

PMID37956352
PMCPMC10683761
OpenAlexW4388622003

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.