Evidence map›Paper›PMID 19568283›Full record

ReviewNature reviews. Drug discovery2009

Multi-parameter phenotypic profiling: using cellular effects to characterize small-molecule compounds.

Yan Feng, Timothy J Mitchison, Andreas Bender, Daniel W Young, John A Tallarico

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Drug discovery, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 108 papers.

0numbers the graph read from it
0cells of the map it votes in
108citing 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

108 citing papers in PubMed.

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  18. Fibrosis on a Chip for Screening of Anti-Fibrosis Drugs.Methods in molecular biology (Clifton, N.J.) · 2021
    Article
  19. Image-Based Analysis of Protein Stability.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2020
    Article
  20. Article

48 more citing papers are in PubMed but not listed here.

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

5 authors.

Yan FengDevelopmental and Molecular Pathways, Novartis Institutes for Biomedical Research, 250 Massachusetts Avenue, Cambridge, Massachusetts 02139, USA. yan.feng@novartis.com
Timothy J Mitchison
Andreas Bender
Daniel W Young
John A Tallarico

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multi-parameter phenotypic profiling of small molecules provides important insights into their mechanisms of action, as well as a systems level understanding of biological pathways and their responses to small molecule treatments. It therefore deserves more attention at an early step in the drug discovery pipeline. Here, we summarize the technologies that are currently in use for phenotypic profiling--including mRNA-, protein- and imaging-based multi-parameter profiling--in the drug discovery context. We think that an earlier integration of phenotypic profiling technologies, combined with effective experimental and in silico target identification approaches, can improve success rates of lead selection and optimization in the drug discovery process.

Indexed as

Drug DiscoveryFlow CytometryGene Expression ProfilingProteomicsAnimalsHumansMicroscopyPhenotypePhosphorylationStatistics as Topic

Identifiers

PMID19568283

What OpenQuestion holds

Textmetadata
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.