Evidence map›Paper›PMID 32929278›Full record

ArticleNature chemical biology2020

A general strategy to red-shift green fluorescent protein-based biosensors.

Shen Zhang, Hui-Wang Ai

Open access · greenAbstract read
In one paragraph

Article in Nature chemical biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
4.3field-weighted citation impact, top 6% 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

16 citing papers in PubMed, 44 citations in OpenAlex.

  1. Review
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  11. Review of FRET biosensing and its application in biomolecular detection.American journal of translational research · 2023
    Review
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  16. Multiphoton intravital microscopy of rodents.Nature reviews. Methods primers · 2022
    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 at 1 institution in 1 country.

Shen ZhangCenter for Membrane and Cell Physiology, Department of Molecular Physiology and Biological Physics, Department of Chemistry, and the UVA Cancer Center, University of Virginia, Charlottesville, VA, USA.ORCID http://orcid.org/0000-0003-1945-0450
Hui-Wang AiCenter for Membrane and Cell Physiology, Department of Molecular Physiology and Biological Physics, Department of Chemistry, and the UVA Cancer Center, University of Virginia, Charlottesville, VA, USA. huiwang.ai@virginia.edu.ORCID http://orcid.org/0000-0002-5664-3270
University of Virginia Cancer Center

Funding

Red and Far-Red Fluorescent Biosensors for Compartmentalized Redox SignalingR01GM129291 · NIGMS · UNIVERSITY OF VIRGINIA · PI AI, HUIWANG · 2018 to 2021
$2.1M
An Integrated Fluorescent Biosensor, Imaging, and Analysis Toolkit for Islet BiologicsR01DK122253 · NIDDK · UNIVERSITY OF VIRGINIA · PI AI, HUIWANG · 2020 to 2023
$1.6M
BapaFPs: Genetically encoded fluorescent indicators to image live-cell nucleotide sugarsU01CA230817 · NCI · UNIVERSITY OF VIRGINIA · PI AI, HUIWANG · 2018 to 2020
$1.4M
A Fluorescent Toolkit for Imaging Reactive Oxygen Species (ROS)R01GM118675 · NIGMS · UNIVERSITY OF VIRGINIA · PI AI, HUIWANG · 2016 to 2019
$1.4M
NCI NIH HHS U01 CA230817NIDDK NIH HHS R01 DK122253NIGMS NIH HHS R01 GM118675NIGMS NIH HHS R01 GM129291
6 · The paper itself

Abstract

Compared with green fluorescent protein-based biosensors, red fluorescent protein (RFP)-based biosensors are inherently advantageous because of reduced phototoxicity, decreased autofluorescence and enhanced tissue penetration. However, existing RFP-based biosensors often suffer from small dynamic ranges, mislocalization and undesired photoconversion. In addition, the choice of available RFP-based biosensors is limited, and development of each biosensor requires substantial effort. Herein, we describe a general and convenient method, which introduces a genetically encoded noncanonical amino acid, 3-aminotyrosine, to the chromophores of green fluorescent protein-like proteins and biosensors for spontaneous and efficient green-to-red conversion. We demonstrated that this method could be used to quickly expand the repertoire of RFP-based biosensors. With little optimization, the 3-aminotyrosine-modified biosensors preserved the molecular brightness, dynamic range and responsiveness of their green fluorescent predecessors. We further applied spectrally resolved biosensors for multiplexed imaging of metabolic dynamics in pancreatic β-cells.

Indexed as

Biosensing TechniquesAnimalsArchaeal ProteinsCell LineCloning, MolecularEscherichia coliFluorescence Resonance Energy TransferGene ExpressionGenetic VectorsGlucoseGreen Fluorescent ProteinsHumansInsulin-Secreting CellsLuminescent ProteinsMethanocaldococcusMice3-aminotyrosineArchaeal ProteinsGlucoseGreen Fluorescent ProteinsLuminescent ProteinsRecombinant ProteinsRed Fluorescent ProteinTyrosineTyrosine-tRNA Ligase

Identifiers

PMID32929278
PMCPMC7669575
OpenAlexW3086218413

What OpenQuestion holds

Textmetadata
LicenceTDM
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.