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Comprehensive transcriptome analysis of cerebral cavernous malformation across multiple species and genotypes
Janne Koskimäki, Romuald Girard, Yan Li, Laleh Saadat, Hussein A. Zeineddine, Rhonda Lightle, Thomas Moore, Seán Lyne, Kenneth Avner, Robert Shenkar, Ying Cao, Changbin Shi, Sean P. Polster, Dongdong Zhang, Julián Carrión-Penagos, Sharbel Romanos, Gregory Fonseca, Miguel A. Lopez-Ramirez, Eric M. Chapman, Evelyn Popiel, Alan T. Tang, Amy Akers, Pieter Faber, Jorge Andrade, Mark Ginsberg, W. Brent Derry, Mark L. Kahn, Douglas A. Marchuk, Issam A. Awad
Janne Koskimäki, Romuald Girard, Yan Li, Laleh Saadat, Hussein A. Zeineddine, Rhonda Lightle, Thomas Moore, Seán Lyne, Kenneth Avner, Robert Shenkar, Ying Cao, Changbin Shi, Sean P. Polster, Dongdong Zhang, Julián Carrión-Penagos, Sharbel Romanos, Gregory Fonseca, Miguel A. Lopez-Ramirez, Eric M. Chapman, Evelyn Popiel, Alan T. Tang, Amy Akers, Pieter Faber, Jorge Andrade, Mark Ginsberg, W. Brent Derry, Mark L. Kahn, Douglas A. Marchuk, Issam A. Awad
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Research Article Neuroscience Vascular biology

Comprehensive transcriptome analysis of cerebral cavernous malformation across multiple species and genotypes

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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.

Authors

Janne Koskimäki, Romuald Girard, Yan Li, Laleh Saadat, Hussein A. Zeineddine, Rhonda Lightle, Thomas Moore, Seán Lyne, Kenneth Avner, Robert Shenkar, Ying Cao, Changbin Shi, Sean P. Polster, Dongdong Zhang, Julián Carrión-Penagos, Sharbel Romanos, Gregory Fonseca, Miguel A. Lopez-Ramirez, Eric M. Chapman, Evelyn Popiel, Alan T. Tang, Amy Akers, Pieter Faber, Jorge Andrade, Mark Ginsberg, W. Brent Derry, Mark L. Kahn, Douglas A. Marchuk, Issam A. Awad

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Figure 3

Common genes conserved across species.

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Common genes conserved across species.
(A) Eight DEGs were commonly iden...
(A) Eight DEGs were commonly identified in human lesional NVUs, both Ccm1/Krit1ECKO and Ccm3/Pdcd10ECKO mouse BMECs, and both ccm1/kri-1 and ccm3/pdcd10 C. elegans models (FC ≥ 1.2; P < 0.05, FDR corrected for human and both genotypes of mouse BMECs. FC ≥ 1.2; P < 0.25, FDR corrected for both genotypes of C. elegans). Functions of the DEGs were related to antiangiogenesis, cell growth, vesicle exocytosis, axon development, G protein–coupled signaling and oncogenesis. Red indicates an increased FC and blue a decreased FC. (B) The focused protein functional interaction network analysis identified 5 of the 8 common DEGs: PLCD3, FAT1, GNAO1, PDGFRA, and PLCD3. PLCD3 is linked with PIK3CA directly but also via PTEN that inhibits PIK3CA. SPARCL1 is associated with AKT3 that activates PIK3CA. GNAO1 is linked to VEGF that activates PDGFRA that further activates PIK3CA. Interestingly, FAT1 is linked to PCDHGA11 that receives activation from EP300. EP300 further activates VEGF and PDGFRA, creating bidirectional activation for PDGFRA that in turn activates PIK3CA.

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