Evidence map›Paper›PMID 31556173›Full record

ArticleChembiochem : a European journal of chemical biology2020

Laccase-Mediated Catalyzed Fluorescent Reporter Deposition for Live-Cell Imaging.

Brandon T Cisneros, Neal K Devaraj

Open access · greenAbstract read
In one paragraph

Article in Chembiochem : a European journal of chemical biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 91% 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

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. 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.

Brandon T CisnerosDepartment of Chemistry and Biochemistry, University of California-San Diego, 9500 Gilman Drive, La Jolla, CA, 92037, USA.
Neal K DevarajDepartment of Chemistry and Biochemistry, University of California-San Diego, 9500 Gilman Drive, La Jolla, CA, 92037, USA.ORCID 0000-0002-8033-9973
University of California San Diego · US

Funding

Amplifying PET Imaging Signals for In Vivo Detection of Pancreatic Beta-cellsDP2DK111801 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DEVARAJ, NEAL KRISHNA · 2016 to 2018
$2.0M
NIDDK NIH HHS DP2 DK111801
6 · The paper itself

Abstract

Catalyzed reporter deposition (CARD) is a widely established method for labeling biological samples analyzed using microscopy. Horseradish peroxidase, commonly used in CARD to amplify reporter signals, requires the addition of hydrogen peroxide, which may perturb samples used in live-cell microscopy. Herein we describe an alternative method of performing CARD using a laccase enzyme, which does not require exogenous hydrogen peroxide. Laccase is an oxidative enzyme which can carry out single-electron oxidations of phenols and related compounds by reducing molecular oxygen. We demonstrate proof-of-concept for this technique through the nontargeted covalent labeling of bovine serum albumin using a fluorescently labeled ferulic acid derivative as the laccase reporter substrate. We further demonstrate the viability of this approach by performing live-cell CARD with an antibody-conjugated laccase against a surface-bound target. CARD using laccase produces an amplified fluorescence signal by labeling cells without the need for exogenous hydrogen peroxide.

Indexed as

Optical ImagingBiocatalysisCell Line, TumorCoculture TechniquesFluorescent DyesHEK293 CellsHumansLaccaseMolecular StructurePolyporaceaeToxicodendronFluorescent DyesLaccasecatalyzed reporter depositionenzymesfluorescence microscopyimaging agentslaccase

Identifiers

PMID31556173
PMCPMC7556693
OpenAlexW2975016895

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.