Evidence map›Paper›PMID 18336216›Full record

ReviewCombinatorial chemistry & high throughput screening2008

High throughput screening for neurodegeneration and complex disease phenotypes.

Hemant Varma, Donald C Lo, Brent R Stockwell

Abstract readReview
In one paragraph

Review in Combinatorial chemistry & high throughput screening, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Review
  8. Article
  9. Review
  10. Neurotrophic natural products: chemistry and biology.Angewandte Chemie (International ed. in English) · 2014
    Review
  11. Article
  12. High content screening in neurodegenerative diseases.Journal of visualized experiments : JoVE · 2012
    Article
  13. Article
  14. Article
  15. Adding more content to screening: reactivation of FOXO as a therapeutic strategy.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2009
    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.

Hemant VarmaDepartment of Biological Sciences, Columbia University, 614 Fairchild Center MC2406, 1212 Amsterdam Avenue, New York, NY 10027, USA.
Donald C Lo
Brent R Stockwell

Funding

Defining a novel trigger for apoptosisR01GM085081 · NIGMS · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI STOCKWELL, BRENT R. · 2008 to 2011
$1.5M
NIGMS NIH HHS R01 GM085081
6 · The paper itself

Abstract

High throughput screening (HTS) for complex diseases is challenging. This stems from the fact that complex phenotypes are difficult to adapt to rapid, high throughput assays. We describe the recent development of high throughput and high-content screens (HCS) for neurodegenerative diseases, with a focus on inherited neurodegenerative disorders, such as Huntington's disease. We describe, among others, HTS assays based on protein aggregation, neuronal death, caspase activation and mutant protein clearance. Furthermore, we describe high-content screens that are being used to prioritize hits identified in such HTS assays. These assays and screening approaches should accelerate drug discovery for neurodegenerative disorders and guide the development of screening approaches for other complex disease phenotypes.

Indexed as

AnimalsCell DeathDrug Evaluation, PreclinicalHumansHuntington DiseaseNerve Tissue ProteinsNeurodegenerative DiseasesProtein BindingSmall Molecule LibrariesNerve Tissue ProteinsSmall Molecule Libraries

Identifiers

PMID18336216
PMCPMC2735222

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.