Evidence map›Paper›PMID 19243383›Full record

ReviewBrain pathology (Zurich, Switzerland)2010

Global expression profiling in epileptogenesis: does it add to the confusion?

Yi Yuen Wang, Paul Smith, Michael Murphy, Mark Cook

Abstract readReview
In one paragraph

Review in Brain pathology (Zurich, Switzerland), 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Rigor and reproducibility in rodent behavioral research.Neurobiology of learning and memory · 2019
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. The neuronal activity-driven transcriptome.Molecular neurobiology · 2015
    Review
  16. Article
  17. fosB-null mice display impaired adult hippocampal neurogenesis and spontaneous epilepsy with depressive behavior.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2013
    Article
  18. Review
  19. 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

4 authors.

Yi Yuen WangCentre for Clinical Neuroscience and Neurological Research, St Vincent's Hospital, Melbourne, Australia. YiYuen.Wang@svhm.org.au
Paul Smith
Michael Murphy
Mark Cook

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since the inception of global gene expression profiling platforms in the mid-1990s, there has been a significant increase in publications of differentially expressed genes in the process of epileptogenesis. In particular for mesial temporal lobe epilepsy, the presence of a latency period between the first manifestation of seizures to chronic epilepsy provides the opportunity for therapeutic interventions at the molecular biology level. Using global expression profiling techniques, approximately 2000 genes have been published demonstrating differential expression in mesial temporal epilepsy. The majority of these changes, however, are specific to laboratory or experimental conditions with only 53 genes demonstrating changes in more than two publications. To this end, we review the current status of gene expression profiling in epileptogenesis and suggest standard guidelines to be followed for greater accuracy and reproducibility of results.

Indexed as

Gene Expression ProfilingAnimalsDisease Models, AnimalEpilepsyHumansKindling, NeurologicOligonucleotide Array Sequence AnalysisProteomicsStatus Epilepticus

Identifiers

PMID19243383
PMCPMC2805866

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.