Transcriptional profile of hippocampal dentate granule cells in four rat epilepsy models

Autor: Avtar Roopra, Claude G. Wasterlain, Michael A. Rogawski, Wytse J. Wadman, Douglas A. Coulter, Nadia Lelutiu, Pate Skene, Brita Fritsch, J. Victor Nadler, Yu Wang, Jan A. Gorter, James O. McNamara, Raymond Dingledine, Robert S. Sloviter, Asla Pitkänen
Přispěvatelé: A.I. Virtanen -instituutti, Cellular and Computational Neuroscience (SILS, FNWI)
Jazyk: angličtina
Rok vydání: 2017
Předmět:
0301 basic medicine
Statistics and Probability
Status epilepticus
Neurodegenerative
Library and Information Sciences
Hippocampal formation
Biology
Bioinformatics
Hippocampus
Basic Behavioral and Social Science
Education
Andrology
Transcriptome
03 medical and health sciences
Epilepsy
Status Epilepticus
0302 clinical medicine
Species Specificity
Behavioral and Social Science
Gene expression
Genetics
medicine
Animals
Transcriptomics
Animal
Neurosciences
Current Review In Basic Science
Granule cell
medicine.disease
Rats
Brain Disorders
3. Good health
Computer Science Applications
Gene expression profiling
Disease Models
Animal

030104 developmental biology
medicine.anatomical_structure
Pilocarpine
Disease Models
Statistics
Probability and Uncertainty

medicine.symptom
030217 neurology & neurosurgery
Information Systems
medicine.drug
Zdroj: Scientific data, vol 4, iss 1
Scientific Data, 4:170061. Nature Publishing Group
ISSN: 2052-4463
Popis: Global expression profiling of neurologic or psychiatric disorders has been confounded by variability among laboratories, animal models, tissues sampled, and experimental platforms, with the result being that few genes demonstrate consistent expression changes. We attempted to minimize these confounds by pooling dentate granule cell transcriptional profiles from 164 rats in seven laboratories, using three status epilepticus (SE) epilepsy models (pilocarpine, kainate, self-sustained SE), plus amygdala kindling. In each epilepsy model, RNA was harvested from laser-captured dentate granule cells from six rats at four time points early in the process of developing epilepsy, and data were collected from two independent laboratories in each rodent model except SSSE. Hierarchical clustering of differentially-expressed transcripts in the three SE models revealed complete separation between controls and SE rats isolated 1 day after SE. However, concordance of gene expression changes in the SE models was only 26–38% between laboratories, and 4.5% among models, validating the consortium approach. Transcripts with unusually highly variable control expression across laboratories provide a ‘red herring’ list for low-powered studies.
published version
peerReviewed
Databáze: OpenAIRE