Evidence map›Paper›PMID 33558528›Full record

ArticleNature communications2021

Incorporation of sensing modalities into de novo designed fluorescence-activating proteins.

Jason C Klima, Lindsey A Doyle, Justin Daho Lee, Michael Rappleye, Lauren A Gagnon, Min Yen Lee, Emilia P Barros, Anastassia A Vorobieva, Jiayi Dou, Samantha Bremner and 9 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
10.0field-weighted citation impact, top 2% 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

23 citing papers in PubMed, 50 citations in OpenAlex.

  1. Article
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  3. Review
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  7. Reporter-expressing viruses for antiviral drug discovery research.Frontiers in cellular and infection microbiology · 2025
    Review
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  9. Review
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  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Improving the secretion of designed protein assemblies through negative design of cryptic transmembrane domains.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  17. Review
  18. Article
  19. Design and optimization of enzymatic activity in a de novo β-barrel scaffold.Protein science : a publication of the Protein Society · 2022
    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

19 authors at 4 institutions in 1 country.

Jason C KlimaDepartment of Biochemistry, University of Washington, Seattle, WA, USA.ORCID 0000-0003-0387-7847
Lindsey A Doyle *Division of Basic Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.ORCID 0000-0002-0008-473X
Justin Daho Lee *Molecular Engineering Ph.D. Program, University of Washington, Seattle, WA, USA.ORCID 0000-0002-0284-2389
Michael RappleyeInstitute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, WA, USA.ORCID 0000-0002-2885-3406
Lauren A GagnonDepartment of Chemistry, University of Washington, Seattle, WA, USA.
Min Yen LeeDepartment of Chemistry, University of Washington, Seattle, WA, USA.ORCID 0000-0001-5548-5867
Emilia P BarrosDepartment of Chemistry and Biochemistry, University of California, San Diego, La Jolla, CA, USA.
Anastassia A VorobievaDepartment of Biochemistry, University of Washington, Seattle, WA, USA.ORCID 0000-0001-5554-1398
Jiayi DouDepartment of Biochemistry, University of Washington, Seattle, WA, USA.
Samantha BremnerInstitute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, WA, USA.ORCID 0000-0003-3465-0442
Jacob S QuonInstitute for Protein Design, University of Washington, Seattle, WA, USA.ORCID 0000-0001-9542-7776
Cameron M ChowDepartment of Biochemistry, University of Washington, Seattle, WA, USA.ORCID 0000-0001-5351-6412
Lauren CarterDepartment of Biochemistry, University of Washington, Seattle, WA, USA.
David L MackInstitute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, WA, USA.
Rommie E AmaroDepartment of Chemistry and Biochemistry, University of California, San Diego, La Jolla, CA, USA.ORCID 0000-0002-9275-9553
Joshua C VaughanDepartment of Chemistry, University of Washington, Seattle, WA, USA.ORCID 0000-0002-6550-8935
Andre BerndtMolecular Engineering Ph.D. Program, University of Washington, Seattle, WA, USA.
Barry L StoddardDivision of Basic Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
David BakerDepartment of Biochemistry, University of Washington, Seattle, WA, USA. dabaker@uw.edu.ORCID 0000-0001-7896-6217
University of Washington · USFred Hutch Cancer Center · USUniversity of California San Diego · USHoward Hughes Medical Institute · US

Funding

Howard Hughes Medical Institute
6 · The paper itself

Abstract

Through the efforts of many groups, a wide range of fluorescent protein reporters and sensors based on green fluorescent protein and its relatives have been engineered in recent years. Here we explore the incorporation of sensing modalities into de novo designed fluorescence-activating proteins, called mini-fluorescence-activating proteins (mFAPs), that bind and stabilize the fluorescent cis-planar state of the fluorogenic compound DFHBI. We show through further design that the fluorescence intensity and specificity of mFAPs for different chromophores can be tuned, and the fluorescence made sensitive to pH and Ca

Indexed as

AcetylcholineAnimalsCalciumChlorocebus aethiopsCOS CellsFluorescenceFluorescent DyesGreen Fluorescent ProteinsHEK293 CellsHumansHydrogen-Ion ConcentrationLuminescent ProteinsModels, MolecularAcetylcholineCalciumFluorescent DyesGreen Fluorescent ProteinsLuminescent Proteins

Identifiers

PMID33558528
PMCPMC7870846
OpenAlexW3128189494

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.