| Literature DB >> 30728328 |
Janne Koskimäki1, Romuald Girard1, Yan Li2, Laleh Saadat1, Hussein A Zeineddine1, Rhonda Lightle1, Thomas Moore1, Seán Lyne1, Kenneth Avner1, Robert Shenkar1, Ying Cao1, Changbin Shi1, Sean P Polster1, Dongdong Zhang1, Julián Carrión-Penagos1, Sharbel Romanos1, Gregory Fonseca3, Miguel A Lopez-Ramirez4, Eric M Chapman5, Evelyn Popiel5, Alan T Tang6, Amy Akers7, Pieter Faber8, Jorge Andrade2, Mark Ginsberg4, W Brent Derry5,9, Mark L Kahn6, Douglas A Marchuk10, Issam A Awad1.
Abstract
The purpose of this study was to determine important genes, functions, and networks contributing to the pathobiology of cerebral cavernous malformation (CCM) from transcriptomic analyses across 3 species and 2 disease genotypes. Sequencing of RNA from laser microdissected neurovascular units of 5 human surgically resected CCM lesions, mouse brain microvascular endothelial cells, Caenorhabditis elegans with induced Ccm gene loss, and their respective controls provided differentially expressed genes (DEGs). DEGs from mouse and C. elegans were annotated into human homologous genes. Cross-comparisons of DEGs between species and genotypes, as well as network and gene ontology (GO) enrichment analyses, were performed. Among hundreds of DEGs identified in each model, common genes and 1 GO term (GO:0051656, establishment of organelle localization) were commonly identified across the different species and genotypes. In addition, 24 GO functions were present in 4 of 5 models and were related to cell-to-cell adhesion, neutrophil-mediated immunity, ion transmembrane transporter activity, and responses to oxidative stress. We have provided a comprehensive transcriptome library of CCM disease across species and for the first time to our knowledge in Ccm1/Krit1 versus Ccm3/Pdcd10 genotypes. We have provided examples of how results can be used in hypothesis generation or mechanistic confirmatory studies.Entities:
Keywords: Molecular genetics; Neuroscience; Transcription; Vascular Biology; endothelial cells
Year: 2019 PMID: 30728328 PMCID: PMC6413775 DOI: 10.1172/jci.insight.126167
Source DB: PubMed Journal: JCI Insight ISSN: 2379-3708