Evidence map›Paper›PMID 19889533›Full record

ReviewCurrent opinion in neurobiology2009

High-content screening of primary neurons: ready for prime time.

Aaron Daub, Punita Sharma, Steven Finkbeiner

Abstract readReview
In one paragraph

Review in Current opinion in neurobiology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
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  11. Nrf2 mitigates LRRK2- and α-synuclein-induced neurodegeneration by modulating proteostasis.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Article
  12. Article
  13. Review
  14. Review
  15. Review
  16. Review
  17. Mutant LRRK2 toxicity in neurons depends on LRRK2 levels and synuclein but not kinase activity or inclusion bodies.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2014
    Article
  18. Article
  19. Automatic segmentation and supervised learning-based selection of nuclei in cancer tissue images.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2012
    Article
  20. 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

3 authors.

Aaron DaubGladstone Institute of Neurological Disease, San Francisco, CA 94158, United States.
Punita Sharma
Steven Finkbeiner

Funding

Tissue Culture CoreP01AG022074 · NIA · J. DAVID GLADSTONE INSTITUTES · PI MASLIAH, ELIEZER · 2003 to 2012
$27.0M
MECHANISMS OF HUNTINGTIN-INDUCED NEURODEGENERATIONR01NS039074 · NINDS · J. DAVID GLADSTONE INSTITUTES · PI FINKBEINER, STEVEN M · 2000 to 2017
$5.4M
Polyglutamine Conformation and NeurodegenerationR01NS045191 · NINDS · J. DAVID GLADSTONE INSTITUTES · PI FINKBEINER, STEVEN M · 2003 to 2013
$4.4M
NIA NIH HHS 2P01 AG022074NIA NIH HHS P01 AG022074NINDS NIH HHS 2R01 NS039074NINDS NIH HHS R01 NS039074NINDS NIH HHS R01 NS045191PHS HHS 2R01045491
6 · The paper itself

Abstract

High-content screening (HCS), historically limited to drug-development companies, is now a powerful and affordable technology for academic researchers. Through automated routines, this technology acquires large datasets of fluorescence images depicting the functional states of thousands to millions of cells. Information on shapes, textures, intensities, and localizations is then used to create unique representations, or 'phenotypic signatures,' of each cell. These signatures quantify physiologic or diseased states, for example, dendritic arborization, drug response, or cell coping strategies. Live-cell imaging in HCS adds the ability to correlate cellular events at different points in time, thereby allowing sensitivities and observations not possible with fixed endpoint analysis. HCS with live-cell imaging therefore provides an unprecedented capability to detect spatiotemporal changes in cells and is particularly suited for time-dependent, stochastic processes such as neurodegenerative disorders.

Indexed as

AutomationAnimalsHumansImage Processing, Computer-AssistedMicroscopyNeurons

Identifiers

PMID19889533
PMCPMC2787795

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.