Evidence map›Paper›PMID 32458721›Full record

ArticleSLAS discovery : advancing life sciences R & D2020

HighVia-A Flexible Live-Cell High-Content Screening Pipeline to Assess Cellular Toxicity.

Alison Howarth, Martin Schröder, Raquel C Montenegro, David H Drewry, Heba Sailem, Val Millar, Susanne Müller, Daniel V Ebner

Abstract read
In one paragraph

Article in SLAS discovery : advancing life sciences R & D, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

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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

8 authors.

Alison HowarthNuffield Department of Clinical Medicine, Target Discovery Institute, University of Oxford, Oxford, UK.
Martin SchröderStructural Genomics Consortium, Buchmann Institute for Molecular Life Science, Institute for Pharmaceutical Chemistry, Johann Wolfgang Goethe-University, Frankfurt, Germany.
Raquel C MontenegroNuffield Department of Clinical Medicine, Structural Genomics Consortium, University of Oxford, Oxford, UK.
David H DrewryStructural Genomics Consortium, UNC Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Heba SailemDepartment of Engineering, University of Oxford, Oxford, UK.
Val MillarNuffield Department of Clinical Medicine, Target Discovery Institute, University of Oxford, Oxford, UK.
Susanne MüllerStructural Genomics Consortium, Buchmann Institute for Molecular Life Science, Institute for Pharmaceutical Chemistry, Johann Wolfgang Goethe-University, Frankfurt, Germany.
Daniel V EbnerNuffield Department of Clinical Medicine, Target Discovery Institute, University of Oxford, Oxford, UK.ORCID 0000-0002-6495-7026

Funding

Wellcome Trust 106169/ZZ14/ZWellcome Trust 204724/Z/16/Z
6 · The paper itself

Abstract

High-content screening to monitor disease-modifying phenotypes upon small-molecule addition has become an essential component of many drug and target discovery platforms. One of the most common phenotypic approaches, especially in the field of oncology research, is the assessment of cell viability. However, frequently used viability readouts employing metabolic proxy assays based on homogeneous colorimetric/fluorescent reagents are one-dimensional, provide limited information, and can in many cases yield conflicting or difficult-to-interpret results, leading to misinterpretation of data and wasted resources.The resurgence of high-content, phenotypic screening has significantly improved the quality and breadth of cell viability data, which can be obtained at the very earliest stages of drug and target discovery. Here, we describe a relatively inexpensive, high-throughput, high-content, multiparametric, fluorescent imaging protocol using a live-cell method of three fluorescent probes (Hoechst, Yo-Pro-3, and annexin V), that is amenable to the addition of further fluorophores. The protocol enables the accurate description and profiling of multiple cell death mechanisms, including apoptosis and necrosis, as well as accurate determination of compound IC

Indexed as

Drug DiscoveryApoptosisCell SurvivalColorimetryFluorescent DyesHepatocytesHigh-Throughput Screening AssaysHumansImage Processing, Computer-AssistedSmall Molecule LibrariesSoftwareFluorescent DyesSmall Molecule Librariesapoptosishigh contenthigh throughputmultiplexviability

Identifiers

PMID32458721
PMCPMC7522770

What OpenQuestion holds

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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.