Evidence map›Paper›PMID 23860224›Full record

ArticleJournal of biomolecular screening2014

High-throughput screening normalized to biological response: application to antiviral drug discovery.

Dhara A Patel, Anand C Patel, William C Nolan, Guangming Huang, Arthur G Romero, Nichole Charlton, Eugene Agapov, Yong Zhang, Michael J Holtzman

Open access · hybridAbstract read
In one paragraph

Article in Journal of biomolecular screening, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

11 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Strategies for automating analytical and bioanalytical laboratories.Analytical and bioanalytical chemistry · 2023
    Article
  3. Review
  4. Article
  5. Article
  6. New activities for old antibiotics.Nature microbiology · 2018
    Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. 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

9 authors at 1 institution in 1 country.

Dhara A Patel1Drug Discovery Program, Pulmonary and Critical Care Medicine, Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA.
Anand C Patel
William C Nolan
Guangming Huang
Arthur G Romero
Nichole Charlton
Eugene Agapov
Yong Zhang
Michael J Holtzman
Washington University in St. Louis · US

Funding

Virology and Smallpox VaccinationsU54AI057160 · NIAID · WASHINGTON UNIVERSITY · PI OLDSTONE, MICHAEL B · 2003 to 2013
$80.9M
Tissue and Cell Processing CoreU19AI070489 · NIAID · WASHINGTON UNIVERSITY · PI HOLTZMAN, MICHAEL J · 2006 to 2016
$17.9M
INTERFERON SIGNAL ENHANCERS AS ANTIVIRAL THERAPEUTICSR01AI111605 · NIAID · WASHINGTON UNIVERSITY · PI HOLTZMAN, MICHAEL J · 2014 to 2017
$1.8M
Role of Calcium-Activated Chloride Channels in Airway Disease PhenotypesK08HL083095 · NHLBI · WASHINGTON UNIVERSITY · PI PATEL, ANAND CHAMPAK · 2007 to 2011
$600k
NHLBI NIH HHS K08 HL083095NHLBI NIH HHS K08-HL083095NIAID NIH HHS R01 AI111605NIAID NIH HHS U19 AI070489NIAID NIH HHS U19-AI070489NIAID NIH HHS U54-AI05160NIAID NIH HHS U54 AI057160
6 · The paper itself

Abstract

The process of conducting cell-based phenotypic screens can result in data sets from small libraries or portions of large libraries, making accurate hit picking from multiple data sets important for efficient drug discovery. Here, we describe a screen design and data analysis approach that allow for normalization not only between quadrants and plates but also between screens or batches in a robust, quantitative fashion, enabling hit selection from multiple data sets. We independently screened the MicroSource Spectrum and NCI Diversity Set II libraries using a cell-based phenotypic high-throughput screening (HTS) assay that uses an interferon-stimulated response element (ISRE)-driven luciferase-reporter assay to identify interferon (IFN) signal enhancers. Inclusion of a per-plate, per-quadrant IFN dose-response standard curve enabled conversion of ISRE activity to effective IFN concentrations. We identified 45 hits based on a combined z score ≥2.5 from the two libraries, and 25 of 35 available hits were validated in a compound concentration-response assay when tested using fresh compound. The results provide a basis for further analysis of chemical structure in relation to biological function. Together, the results establish an HTS method that can be extended to screening for any class of compounds that influence a quantifiable biological response for which a standard is available.

Indexed as

High-Throughput Screening AssaysAntiviral AgentsDrug DiscoveryDrug Evaluation, PreclinicalGene ExpressionGene Expression RegulationGenes, ReporterHumansInterferon Regulatory FactorsReproducibility of ResultsResponse ElementsSmall Molecule LibrariesAntiviral AgentsInterferon Regulatory FactorsSmall Molecule Librariescell-based assayinterferon signal enhancerphenotypic drug discoveryquantitative HTSstatin

Identifiers

PMID23860224
PMCPMC3867592
OpenAlexW1975529982

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.