Evidence map›Paper›PMID 25805180›Full record

ReviewJournal of biomolecular screening2015

Flow Cytometry: Impact on Early Drug Discovery.

Bruce S Edwards, Larry A Sklar

Abstract readReview
In one paragraph

Review in Journal of biomolecular screening, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Article
  3. Marine drugs · 2023
    Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Biologically Relevant Heterogeneity: Metrics and Practical Insights.SLAS discovery : advancing life sciences R & D · 2017
    Review
  17. Review
  18. Article
  19. Cell-Based Assay Design for High-Content Screening of Drug Candidates.Journal of microbiology and biotechnology · 2016
    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

2 authors.

Bruce S EdwardsCenter for Molecular Discovery, Innovation Discovery and Training Center, Health Sciences Center, University of New Mexico, Albuquerque, NM, USA bedwards@salud.unm.edu.
Larry A SklarCenter for Molecular Discovery, Innovation Discovery and Training Center, Health Sciences Center, University of New Mexico, Albuquerque, NM, USA.

Funding

WOMEN'S CANCERS RESEARCH PROGRAMP30CA118100 · NCI · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI Yolanda Sanchez · 2005 to 2026
$57.1M
UNM HSC Clinical and Translational Science CenterUL1TR001449 · NCATS · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI CAMPEN, MATTHEW J, PANDHI, NANCY · 2015 to 2024
$36.9M
Yeast Biology ConsortiumU54MH084690 · NIMH · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI SKLAR, LARRY A. · 2008 to 2013
$14.4M
New Mexico Molecular Libraries Screening Center(RMI)U54MH074425 · NIMH · UNIVERSITY OF NEW MEXICO · PI SKLAR, LARRY A. · 2005 to 2008
$10.0M
Advancing High Throughput Flow CytometryR01HG005066 · NHGRI · UNIVERSITY OF NEW MEXICO · PI EDWARDS, BRUCE S · 2009 to 2010
$860k
NCATS NIH HHS UL1 TR001449NCI NIH HHS P30 CA118100NCI NIH HHS P30CA118100NHGRI NIH HHS R01 HG005066NHGRI NIH HHS R01HG005066NIMH NIH HHS U54 MH074425NIMH NIH HHS U54 MH084690NIMH NIH HHS U54MH084690
6 · The paper itself

Abstract

Modern flow cytometers can make optical measurements of 10 or more parameters per cell at tens of thousands of cells per second and more than five orders of magnitude dynamic range. Although flow cytometry is used in most drug discovery stages, "sip-and-spit" sampling technology has restricted it to low-sample-throughput applications. The advent of HyperCyt sampling technology has recently made possible primary screening applications in which tens of thousands of compounds are analyzed per day. Target-multiplexing methodologies in combination with extended multiparameter analyses enable profiling of lead candidates early in the discovery process, when the greatest numbers of candidates are available for evaluation. The ability to sample small volumes with negligible waste reduces reagent costs, compound usage, and consumption of cells. Improved compound library formatting strategies can further extend primary screening opportunities when samples are scarce. Dozens of targets have been screened in 384- and 1536-well assay formats, predominantly in academic screening lab settings. In concert with commercial platform evolution and trending drug discovery strategies, HyperCyt-based systems are now finding their way into mainstream screening labs. Recent advances in flow-based imaging, mass spectrometry, and parallel sample processing promise dramatically expanded single-cell profiling capabilities to bolster systems-level approaches to drug discovery.

Indexed as

Drug DiscoveryFlow CytometryHigh-Throughput Screening AssaysHumansPhenotypeSmall Molecule LibrariesSmall Molecule Librariesflow cytometryhigh-content screeningmultiplex assays and technologyphenotypic drug discoveryprotein-protein interactionsreview

Identifiers

PMID25805180
PMCPMC4606936

What OpenQuestion holds

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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.