Evidence map›Paper›PMID 19938341›Full record

ReviewCombinatorial chemistry & high throughput screening2009

Applications of high content screening in life science research.

Joseph M Zock

Abstract readReview
In one paragraph

Review in Combinatorial chemistry & high throughput screening, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Article
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  5. Review
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  11. Article
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  15. Article
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  17. Article
  18. Article
  19. Review
  20. Current status of drug screening and disease modelling in human pluripotent stem cells.BioEssays : news and reviews in molecular, cellular and developmental biology · 2013
    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

1 author.

Joseph M ZockThermo Fisher Scientific, 100 Technology Dr, Pittsburgh, PA 15219, USA. joe.zock@thermofisher.com

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the last decade, imaging as a detection mode for cell based assays has opened a new world of opportunities to measure "phenotypic endpoints" in both current and developing biological models. These "high content" methods combine multiple measurements of cell physiology, whether it comes from sub-cellular compartments, multicellular structures, or model organisms. The resulting multifaceted data can be used to derive new insights into complex phenomena from cell differentiation to compound pharmacology and toxicity. Exploring the major application areas through review of the growing compendium of literature provides evidence that this technology is having a tangible impact on drug discovery and the life sciences.

Indexed as

Research DesignAnimalsBiological Science DisciplinesDrug DiscoveryHigh-Throughput Screening AssaysHumans

Identifiers

PMID19938341
PMCPMC2841426

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.