Evidence map›Paper›PMID 30353887›Full record

ArticleMethods and applications in fluorescence2018

Development of a fluorescence-based cellular apoptosis reporter.

Lucy A Balderstone, John C Dawson, Arkadiusz Welman, Alan Serrels, Stephen R Wedge, Valerie G Brunton

Open access · hybridAbstract read
In one paragraph

Article in Methods and applications in fluorescence, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 39% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Lucy A BalderstoneCancer Research UK Edinburgh Centre, Institute of Genetics & Molecular Medicine, University of Edinburgh, Crewe Road South, Edinburgh, EH4 2XR, United Kingdom.
John C Dawson
Arkadiusz Welman
Alan Serrels
Stephen R Wedge
Valerie G Brunton
Edinburgh Cancer Research · GBNewcastle University · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Evasion of apoptosis is a hallmark of human cancer, and a desired endpoint of many anticancer agents is the induction of cell death. With the heterogeneity of cancer becoming increasingly apparent, to understand drug mechanisms of action and identify combination therapies in cell populations, the development of tools to assess drug effects at the single cell level is a necessity for future preclinical drug development. Herein we describe the development of pCasFSwitch, a genetically encoded reporter construct designed to identify cells undergoing caspase-3 mediated apoptosis, by a translocation of a GFP signal from the cell membrane into the nucleus. Anticipated cellular distribution was demonstrated by use of confocal microscopy and cleavage by caspase-3 was shown to be required for the translocation of the GFP signal seen in apoptotic cells. Quantification of apoptosis using the construct revealed similar levels to that obtained with a commercially available apoptosis imaging agent (22.6% versus 20.3%). Moreover, we demonstrated its capacity for use in a high-throughput setting making it a powerful tool for drug development pipelines.

Indexed as

AnimalsApoptosisBase SequenceCaspase 3Cell Line, TumorCell MembraneCell NucleusFluorescenceGenes, ReporterGreen Fluorescent ProteinsMembrane ProteinsMiceMicroscopy, ConfocalMicroscopy, FluorescenceNuclear ProteinsRecombinant Fusion ProteinsCasp3 protein, mouseCaspase 3Green Fluorescent ProteinsMembrane ProteinsNuclear ProteinsRecombinant Fusion Proteins

Identifiers

PMID30353887
PMCPMC6372133
OpenAlexW2896054933

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.