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 |
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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 |
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