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Deep-Learning Uncovers certain CCM Isoforms as Transcription Factors
Jacob Croft1, Liyuan Gao2, Victor Sheng2
1Department of Molecular & Translational Medicine (MTM), Texas Tech University Health Science Center El Paso (TTUHSCEP), El Paso, TX 79905, USA.
Cerebral Cavernous Malformation proteins (CCMs) can act as transcription factors, regulating gene expression. This study identified 8 CCM isoforms with this novel function, challenging existing research.
Area of Science:
- Molecular biology
- Genetics
- Bioinformatics
Background:
- Cerebral Cavernous Malformations (CCMs) are vascular abnormalities linked to stroke risk.
- Familial CCMs involve KRIT1 (CCM1), MGC4607 (CCM2), and PDCD10 (CCM3) genes.
- CCM proteins shuttle between nucleus and cytoplasm, suggesting roles in gene regulation.
Purpose of the Study:
- To investigate if CCM proteins function as transcription factors (TFs).
- To identify specific CCM isoforms with TF capabilities.
Main Methods:
- Utilized a deep-learning (DL) algorithm with a biased-Support Vector Machine (SVM) model.
- Analyzed CCM gene isoforms exhibiting nucleocytoplasmic shuttling.
Main Results:
- Identified 11 CCM isoforms across CCM1, CCM2, and CCM3.
- Confirmed transcription factor functionality in 8 CCM1 and CCM2 isoforms.
- This is the first identification of CCM isoforms acting as TFs.
Conclusions:
- CCM proteins possess dual roles, acting as both signaling components and transcription factors.
- This finding expands the known functions of CCM proteins beyond endothelial cell signaling.
- Challenges the established view of CCMs solely in angiogenesis-related signaling cascades.
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