Moyamoya Disease 5 (MYMY5) Cell Models for Research

Disease Burden and Research Significance

Epidemiology and Clinical Impact

Moyamoya disease (MMD) is a rare, progressive cerebrovascular disorder characterized by stenosis of the intracranial internal carotid arteries and the development of a fragile collateral vascular network. The global incidence is estimated at 0.35–0.94 per 100,000 person-years, with higher prevalence in East Asian populations (Japan, Korea, China). The disease can manifest in childhood (ischemic strokes) or adulthood (hemorrhagic strokes), leading to significant morbidity and mortality. Five-year survival rates vary, but with revascularization surgery, outcomes improve; however, without treatment, recurrent strokes can be disabling. (WHO, NCI).

Value as a Research Model

Moyamoya Disease 5 (MYMY5) is a genetic subtype linked to mutations in the RNF213 gene. Studying MYMY5 provides insights into vascular biology, angiogenesis, and stroke mechanisms. The disease offers a unique model to investigate the role of RNF213 in endothelial cell function and smooth muscle cell proliferation. Public datasets, such as those in NCBI and ClinVar, provide genetic variants, while cell models enable functional validation. Open questions include the precise molecular pathways leading to vascular stenosis and the development of targeted therapies.

Core Molecular Pathogenesis

Major Carcinogenic Pathways
  • • Although Moyamoya is not a cancer, the disease involves aberrant cell proliferation and angiogenesis. Key pathways include:
  • • RNF213-related signaling: RNF213 is a ubiquitin ligase involved in angiogenesis and inflammation. Mutations lead to dysregulation of NF-κB and VEGF signaling.
  • • Inflammatory pathways: Chronic inflammation contributes to intimal thickening.
  • • Hypoxia-inducible factor (HIF) pathway: HIF-1α upregulation in response to ischemia promotes angiogenesis but also abnormal vascular remodeling.
  • • Notch signaling: Involved in arterial specification and smooth muscle cell differentiation.
High-Frequency Genetic Alterations
GeneFrequency (%)Mutation TypeFunctional Effect
RNF21380-90% (familial)Missense (p.R4810K)Loss of ubiquitin ligase activity, altered angiogenesis
ACTA2<5%MissenseSmooth muscle dysfunction
GUCY1A3<5%MissenseImpaired nitric oxide signaling
DIAPH1<5%MissenseCytoskeletal defects

Data from TCGA and COSMIC are not directly applicable as MYMY5 is not a cancer, but ClinVar and NCBI Gene provide variant frequencies.

Deregulated Signaling Networks
  • • Key signaling networks implicated in MYMY5:
  • • NF-κB pathway: RNF213 mutations lead to increased NF-κB activity, promoting inflammation.
  • • VEGF signaling: Upregulated, leading to aberrant angiogenesis.
  • • TGF-β pathway: Involved in vascular remodeling.
  • • MAPK/ERK pathway: Enhanced proliferation of smooth muscle cells.
  • • PI3K/AKT pathway: Promotes cell survival and migration.

Key nodes: RNF213, NF-κB, VEGF, TGF-β, MAPK1, AKT1.

Experimental Model Systems

Cell Lines and Organoids
Cell LineOriginKey Mutations
HUVECHuman umbilical vein endothelial cellsWild-type RNF213
HCMEC/D3Human cerebral microvascular endothelial cellsWild-type RNF213
HAoSMCHuman aortic smooth muscle cellsWild-type RNF213
iPSC-derived endothelial cellsPatient-derivedRNF213 p.R4810K

Organoids: 3D vascular organoids can recapitulate vessel formation and are useful for studying RNF213 function.

Animal Models (PDX, GEMM, Induced)
  • • RNF213 knockout mice: Show abnormal vascular remodeling and reduced angiogenesis.
  • • RNF213 p.R4810K knock-in mice: Mimic human mutation, display moyamoya-like features.
  • • Induced models: Carotid artery ligation in mice induces moyamoya-like changes.
  • • PDX models: Not applicable for non-cancer disease, but patient-derived xenografts of vascular tissue can be used.
Gene-Edited Cell Models
  • • CRISPR-Cas9 gene editing enables the creation of isogenic cell lines with specific RNF213 mutations. For example:
  • • RNF213 knockout in HUVECs: Loss-of-function model to study angiogenesis.
  • • RNF213 p.R4810K knock-in in HUVECs: Mimics patient mutation, allowing functional studies.
  • • RNF213 knockout in smooth muscle cells: Investigates proliferative phenotypes.

These models are commercially available and sequence-verified, accelerating research. They are ideal for drug screening and functional genomics.

Related Disease

Disease name Disease type

Related Products

Product name Cat.No. Species Gene ID
MYLK Knockout Caco-2 Cell Line EDJ-KQ11 Human 4638 Details Get a Quote
FLNA Knockout HEK293 Cell Line EDJ-KQ171 Human 2316 Details Get a Quote
TNXB Knockout HEK293 Cell Line EDJ-KQ275 Human 7148 Details Get a Quote
FBN1 Knockout HEK293 Cell Line EDJ-KQ376 Human 2200 Details Get a Quote
SMAD3 Knockout HEK293 Cell Line EDJ-KQ400 Human 4088 Details Get a Quote
SMAD4 Knockout HEK293 Cell Line EDJ-KQ401 Human 4089 Details Get a Quote
NOTCH1 Knockout HEK293 Cell Line EDJ-KQ435 Human 4851 Details Get a Quote
TGFBR1 Knockout HEK293 Cell Line EDJ-KQ762 Human 7046 Details Get a Quote
COL1A1 Knockout HEK293 Cell Line EDJ-KQ768 Human 1277 Details Get a Quote
COL2A1 Knockout HEK293 Cell Line EDJ-KQ769 Human 1280 Details Get a Quote
COL9A1 Knockout HEK293 Cell Line EDJ-KQ779 Human 1297 Details Get a Quote
COL1A2 Knockout HEK293 Cell Line EDJ-KQ1321 Human 1278 Details Get a Quote
SLC39A13 Knockout HEK293 Cell Line EDJ-KQ1374 Human 91252 Details Get a Quote
MYLK Knockout HEK293 Cell Line EDJ-KQ1434 Human 4638 Details Get a Quote
ACTA2 Knockout HEK293 Cell Line EDJ-KQ1463 Human 59 Details Get a Quote
Displaying Records 1 To 15 Of 203 Records

Applications of Gene-Edited Cells

Functional Genomics

Knockout and knock-in lines validate the role of RNF213 in endothelial function, angiogenesis, and inflammation. For example, RNF213 knockout in HUVECs leads to increased tube formation and altered gene expression of angiogenic factors. Knock-in of p.R4810K recapitulates patient phenotypes, enabling mechanistic studies.

Drug Screening and Resistance

Isogenic pairs (wild-type vs. mutant) are used for high-throughput screening to identify compounds that rescue mutant phenotypes. Resistance models can be generated by exposing cells to drugs and selecting for resistant clones, aiding in understanding drug resistance mechanisms.

Biomarker Discovery

CRISPR synthetic lethality screens can identify genes that are essential in RNF213-mutant cells but not wild-type, revealing potential therapeutic targets. Biomarkers can be discovered by comparing transcriptomes and proteomes of isogenic lines.

Public Data Resources

DatabaseURLDescription
NCBI Genehttps://www.ncbi.nlm.nih.gov/gene/Gene information for RNF213 and related genes
ClinVarhttps://www.ncbi.nlm.nih.gov/clinvar/Variant interpretations for RNF213
UniProthttps://www.uniprot.org/Protein functional information
DepMaphttps://depmap.org/Cancer dependency data (not directly applicable but useful for cell line information)
GEOhttps://www.ncbi.nlm.nih.gov/geo/Gene expression datasets for moyamoya disease

Frequently Asked Research Questions

The RNF213 p.R4810K missense mutation is found in 80-90% of familial cases and 20-30% of sporadic cases in East Asian populations.
CRISPR-Cas9 can be used to introduce a frameshift mutation in the RNF213 gene. Commercially available kits and services can provide validated knockout cell lines.
Knockout models completely abolish gene function, while knock-in models introduce a specific mutation (e.g., p.R4810K) to mimic patient genotypes. Both are valuable for different research questions.
Yes, iPSCs can be derived from patients with MYMY5 and differentiated into endothelial cells or smooth muscle cells, providing a patient-specific platform for disease modeling.
They are used for functional genomics, drug screening, target validation, and biomarker discovery, ultimately aiding in the development of therapies.

Key References and Database URLs

WHO https://www.who.int/
NCI https://www.cancer.gov/
NCBI Gene https://www.ncbi.nlm.nih.gov/gene/
ClinVar https://www.ncbi.nlm.nih.gov/clinvar/
UniProt https://www.uniprot.org/
DepMap https://depmap.org/
COSMIC https://cancer.sanger.ac.uk/cosmic
TCGA https://www.cancer.gov/tcga
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