Evidence map›Paper›PMID 33315311›Full record

ArticleCurrent protocols in chemical biology2020

Multiparametric High-Content Assays to Measure Cell Health and Oxidative Damage as a Model for Drug-Induced Liver Injury.

Grace Pohan, Jether Amos Espinosa, Steven Chen, Kenny K Ang, Michelle R Arkin, Sarine Markossian

Open access · greenAbstract read
In one paragraph

Article in Current protocols in chemical biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 35% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
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 4 institutions in 2 countries.

Grace PohanSmall Molecule Discovery Center and Department of Pharmaceutical Chemistry, University of California, San Francisco, California.
Jether Amos EspinosaSmall Molecule Discovery Center and Department of Pharmaceutical Chemistry, University of California, San Francisco, California.
Steven ChenCytiva, Marlborough, Massachusetts.
Kenny K AngSmall Molecule Discovery Center and Department of Pharmaceutical Chemistry, University of California, San Francisco, California.
Michelle R ArkinSmall Molecule Discovery Center and Department of Pharmaceutical Chemistry, University of California, San Francisco, California.
Sarine MarkossianSmall Molecule Discovery Center and Department of Pharmaceutical Chemistry, University of California, San Francisco, California.
University of California, San Francisco · USCytel (United States) · USDiscovery Centre · CANational Center for Advancing Translational Sciences · US

Funding

Protein and small-molecule tools to probe the conformational dependence of the VCP/p97 protein-protein interaction network--Equipment SupplementR01GM130145 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ARKIN, MICHELLE · 2018 to 2021
$1.6M
NIGMS NIH HHS R01 GM130145
6 · The paper itself

Abstract

Drug-induced liver injury is an important cause of non-approval in drug development and the withdrawal of already approved drugs from the market. Screening human hepatic cell lines for toxicity has been used extensively to predict drug-induced liver injury in preclinical drug development. Assessing hepatic-cell health with more diverse markers will increase the value of in vitro assays and help predict the mechanism of toxicity. We describe three live cell-based assays using HepG2 cells to measure cell health parameters indicative of hepatotoxicity. The first assay measures cellular ATP levels using luciferase. The second and third assays are multiparametric high-content screens covering a panel of cell health markers including cell count, mitochondrial membrane potential and structure, nuclear morphology, vacuolar density, and reactive oxygen species and glutathione levels. © 2020 Wiley Periodicals LLC. Basic Protocol 1: Measurement of cellular ATP content Basic Protocol 2: High-content analysis assay to assess cell count, mitochondrial membrane potential and structure, and reactive oxygen species Basic Protocol 3: High-content analysis assay to assess nuclear morphology, vacuoles, and glutathione content Support Protocol 1: Subculturing and maintaining HepG2 cells Support Protocol 2: Plating HepG2 cell line Support Protocol 3: Transferring compounds by pin tool Support Protocol 4: Generating dose-response curves.

Indexed as

High-Throughput Screening AssaysModels, BiologicalAdenosine TriphosphateBiomarkersChemical and Drug Induced Liver InjuryHep G2 CellsHumansOxidative StressRaloxifene HydrochlorideSelective Estrogen Receptor ModulatorsAdenosine TriphosphateBiomarkersRaloxifene HydrochlorideSelective Estrogen Receptor Modulatorscell healthdrug-induced liver injuryglutathioneHepG2high-content analysishigh-throughput screeningmitochondrial dysfunctionmultiparametric assaysreactive oxygen species

Identifiers

PMID33315311
PMCPMC8269189
OpenAlexW3113032643

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.