Evidence map›Paper›PMID 30994345›Full record

ArticleJournal of the American Chemical Society2019

Membrane-Permeant, Environment-Sensitive Dyes Generate Biosensors within Living Cells.

Christopher J MacNevin, Takashi Watanabe, Matthew Weitzman, Akash Gulyani, Sheryl Fuehrer, Nicholas K Pinkin, Xu Tian, Feng Liu, Jian Jin, Klaus M Hahn

Open access · greenAbstract read
In one paragraph

Article in Journal of the American Chemical Society, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

14 citing papers in PubMed, 36 citations in OpenAlex.

  1. Review
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  8. Membrane-Permeant, Bioactivatable Coumarin Derivatives for In-Cell Labelling.Chembiochem : a European journal of chemical biology · 2022
    Article
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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 1 institution in 1 country.

Christopher J MacNevinDepartment of Pharmacology, School of Medicine , University of North Carolina at Chapel Hill , Chapel Hill , North Carolina 27599 , United States.
Takashi WatanabeDepartment of Pharmacology, School of Medicine , University of North Carolina at Chapel Hill , Chapel Hill , North Carolina 27599 , United States.
Matthew WeitzmanDepartment of Pharmacology, School of Medicine , University of North Carolina at Chapel Hill , Chapel Hill , North Carolina 27599 , United States.
Akash GulyaniDepartment of Pharmacology, School of Medicine , University of North Carolina at Chapel Hill , Chapel Hill , North Carolina 27599 , United States.
Sheryl FuehrerDepartment of Pharmacology, School of Medicine , University of North Carolina at Chapel Hill , Chapel Hill , North Carolina 27599 , United States.
Nicholas K PinkinDepartment of Pharmacology, School of Medicine , University of North Carolina at Chapel Hill , Chapel Hill , North Carolina 27599 , United States.
Xu TianDepartment of Pharmacology, School of Medicine , University of North Carolina at Chapel Hill , Chapel Hill , North Carolina 27599 , United States.
Feng LiuCenter for Integrative Chemical Biology and Drug Discovery, School of Pharmacy , University of North Carolina at Chapel Hill , Chapel Hill , North Carolina 27599 , United States.ORCID 0000-0003-2669-5448
Jian JinCenter for Integrative Chemical Biology and Drug Discovery, School of Pharmacy , University of North Carolina at Chapel Hill , Chapel Hill , North Carolina 27599 , United States.ORCID 0000-0002-2387-3862
Klaus M HahnDepartment of Pharmacology, School of Medicine , University of North Carolina at Chapel Hill , Chapel Hill , North Carolina 27599 , United States.ORCID 0000-0002-1970-7562
University of North Carolina at Chapel Hill · US

Funding

Dissecting signaling in vivo via precise control and visualization of protein activityR35GM122596 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Klaus M. Hahn · 2017 to 2026
$7.4M
Small GTPases in megakaryocyte biologyR01HL133668 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BERGMEIER, WOLFGANG, HAHN, KLAUS M. · 2017 to 2020
$1.8M
Improving Environment Sensitive Dyes for Live Cell Single Molecule ImagingF32GM120958 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI PINKIN, NICHOLAS KARL · 2016 to 2018
$173k
NHLBI NIH HHS R01 HL133668NIGMS NIH HHS F32 GM120958NIGMS NIH HHS R35 GM122596
6 · The paper itself

Abstract

Dyes with environment-sensitive fluorescence have proven useful to study the spatiotemporal dynamics of protein activity in living cells. When attached to proteins, their fluorescence can reflect protein conformational changes, post-translational modifications, or protein interactions. However, the utility of such dye-protein conjugates has been limited because it is difficult to load them into cells. They usually must be introduced using techniques that perturb cell physiology, limit throughput, or generate fluorescent vesicles (e.g., electroporation, microinjection, or membrane transduction peptides). Here we circumvent these problems by modifying a proven, environment-sensitive biosensor fluorophore so that it can pass through cell membranes without staining intracellular compartments and can be attached to proteins within living cells using unnatural amino acid (UAA) mutagenesis. Reactive groups were incorporated for attachment to UAAs or small molecules (mero166, azide; mero167, alkyne; mero76, carboxylic acid). These dyes are bright and fluoresce at long wavelengths (reaching ε = 100 000 M

Indexed as

Biosensing TechniquesOptical ImagingAnimalsBenzopyransFibroblastsFluorescent DyesHeLa CellsHumansIndolesMiceMolecular StructureBenzopyransFluorescent DyesIndolesmerocyanine

Identifiers

PMID30994345
PMCPMC6572722
OpenAlexW2937310617

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.