Glycosylphosphatidylinositol Biosynthesis Defect 11 (GPIBD11) Cell Models for Research

Disease Burden and Research Significance

Epidemiology and Clinical Impact

Glycosylphosphatidylinositol Biosynthesis Defect 11 (GPIBD11) is an ultra-rare autosomal recessive disorder caused by mutations in the PIGV gene. The exact prevalence is unknown, but fewer than 50 cases have been reported worldwide (WHO, 2023). The condition is characterized by intellectual disability, seizures, and distinctive facial features. There is no cure, and management is symptomatic. The 5-year survival is high, but quality of life is significantly impacted (NCI, 2023).

Value as a Research Model

GPIBD11 serves as a valuable model for studying GPI biosynthesis, a fundamental post-translational modification. The disease is monogenic, making it ideal for functional studies. Public datasets include ClinVar and OMIM, but there is a lack of comprehensive molecular data. Open questions include the precise role of PIGV in neuronal development and the potential for targeted therapies.

Core Molecular Pathogenesis

Major Carcinogenic Pathways
  • • GPIBD11 is not a cancer, but the underlying pathway is GPI biosynthesis. The pathway involves:
  • • Synthesis of N-acetylglucosaminyl-phosphatidylinositol (GlcNAc-PI)
  • • Deacetylation and acylation
  • • Mannosylation steps
  • • Addition of phosphoethanolamine
  • • Transfer of GPI anchor to proteins
  • • Mutations in PIGV disrupt the second mannosylation step, leading to deficient GPI-anchored proteins.
High-Frequency Genetic Alterations

| Gene | Frequency (%) | Mutation Type | Functional Effect |

|------|---------------|---------------|-------------------|

| PIGV | 100% | Missense, frameshift, splice-site | Loss of function, reduced GPI-anchor synthesis |

| PIGO | Rare | Missense | Impaired phosphoethanolamine transfer |

| PIGW | Rare | Missense | Defective inositol acylation |

Data from ClinVar and OMIM.

Deregulated Signaling Networks
  • • GPI-anchored proteins are involved in multiple signaling pathways:
  • • Complement regulation (CD55, CD59)
  • • Cell adhesion (NCAM, L1CAM)
  • • Enzymatic activity (alkaline phosphatase)
  • • Receptor signaling (folate receptor)
  • • Deficiency leads to impaired cell-cell interactions and signaling, contributing to neurological symptoms.

Experimental Model Systems

Cell Lines and Organoids

| Cell Line | Origin | Key Mutations |

|-----------|--------|---------------|

| HEK293 | Human embryonic kidney | Wild-type PIGV |

| HeLa | Human cervical cancer | Wild-type PIGV |

| SH-SY5Y | Human neuroblastoma | Wild-type PIGV |

| iPSC-derived neurons | Patient-derived | PIGV mutations |

Organoids, especially cerebral organoids, can recapitulate neurodevelopmental defects and are useful for studying GPIBD11.

Animal Models (PDX, GEMM, Induced)
  • • Pigv knockout mouse: Shows embryonic lethality, indicating essential role.
  • • Conditional knockout mouse: Tissue-specific deletion to study developmental roles.
  • • Zebrafish models: Morpholino knockdown of pigv to study neurological phenotypes.
  • • Patient-derived xenografts (PDX) are not applicable as it is not a cancer.
Gene-Edited Cell Models
  • • CRISPR-Cas9 gene editing enables the creation of isogenic cell lines with specific PIGV mutations. For example:
  • • PIGV knockout HEK293 cells: Complete loss of function, useful for studying GPI-anchor deficiency.
  • • PIGV knock-in with a patient-specific mutation (e.g., c.1024C>T): Allows modeling of specific variants.
  • • These sequence-verified models are commercially available and accelerate research by providing consistent, reproducible systems.

Related Disease

Disease name Disease type

Related Products

Product name Cat.No. Species Gene ID
PIGO Knockout HEK293 Cell Line EDJ-KQ218 Human 84720 Details Get a Quote
PIGC Knockout HEK293 Cell Line EDJ-KQ5458 Human 5279 Details Get a Quote
PGAP2 Knockout HEK293 Cell Line EDJ-KQ8758 Human 27315 Details Get a Quote
MYO19 Knockout HEK293 Cell Line EDJ-KQ9473 Human 80179 Details Get a Quote
PIGY Knockout HEK293 Cell Line EDJ-KQ10297 Human 84992 Details Get a Quote
PGAP3 Knockout HEK293 Cell Line EDJ-KQ11200 Human 93210 Details Get a Quote
CRYBG2 Knockout HEK293 Cell Line EDJ-KQ13008 Human 55057 Details Get a Quote
PIGW Knockout HEK293 Cell Line EDJ-KQ14763 Human 284098 Details Get a Quote
PGAP2 Knockout A-549 Cell Line EDJ-KQ35014 Human 27315 Details Get a Quote
PGAP2 Knockout HCT 116 Cell Line EDJ-KQ35015 Human 27315 Details Get a Quote
PGAP2 Knockout HeLa Cell Line EDJ-KQ35016 Human 27315 Details Get a Quote
PIGO Knockout HCT 116 Cell Line EDJ-KQ36061 Human 84720 Details Get a Quote
MYO19 Knockout A-549 Cell Line EDJ-KQ36179 Human 80179 Details Get a Quote
MYO19 Knockout HCT 116 Cell Line EDJ-KQ36180 Human 80179 Details Get a Quote
MYO19 Knockout HeLa Cell Line EDJ-KQ36181 Human 80179 Details Get a Quote

Applications of Gene-Edited Cells

Functional Genomics

Knockout and knock-in lines are used to validate the functional impact of PIGV mutations. For example, comparing GPI-anchor protein expression between wild-type and knockout cells confirms the role of PIGV. Additionally, complementation assays with wild-type PIGV rescue the phenotype, confirming causality.

Drug Screening and Resistance

Isogenic pairs (wild-type vs. PIGV knockout) are used to screen for compounds that can restore GPI-anchor synthesis. High-throughput screens can identify small molecules that bypass the defect. Resistance studies are less relevant, but the models can be used to test drug toxicity in GPI-deficient cells.

Biomarker Discovery

CRISPR-based synthetic lethality screens can identify genes that are essential in PIGV-deficient cells but not in wild-type cells. These genes could serve as therapeutic targets. Additionally, cell surface markers like CD59 can be used as biomarkers for GPI-anchor deficiency.

Public Data Resources

DatabaseURLDescription
TCGAhttps://www.cancer.gov/tcgaCancer genomics data (not specific to GPIBD11)
cBioPortalhttps://www.cbioportal.orgCancer genomics data (not specific)
DepMaphttps://depmap.org/portal/Dependency data for cancer cell lines (not specific)
GEOhttps://www.ncbi.nlm.nih.gov/geo/Gene expression datasets, including rare diseases
ClinVarhttps://www.ncbi.nlm.nih.gov/clinvar/Variant interpretations for PIGV
OMIMhttps://www.omim.org/entry/610274Gene-disease relationship for PIGV

Frequently Asked Research Questions

The most common mutation is c.1024C>T (p.Arg342Trp) in PIGV, but many other mutations have been reported.
Yes, CRISPR-engineered cell lines with PIGV knockouts or patient-specific mutations are available and are valuable tools.
Flow cytometry using antibodies against GPI-anchored proteins (e.g., CD59, CD55) or the toxin aerolysin, which binds to GPI anchors.
No, there are no approved therapies. Research is ongoing.
Commercially available from several sources; search for PIGV knockout or knock-in cell lines.

Key References and Database URLs

WHO https://www.who.int
NCI https://www.cancer.gov
NCBI Gene https://www.ncbi.nlm.nih.gov/gene/23550
ClinVar https://www.ncbi.nlm.nih.gov/clinvar/?term=PIGV%5Bgene%5D
OMIM https://www.omim.org/entry/610274
UniProt https://www.uniprot.org/uniprot/Q9NUD9
DepMap https://depmap.org/portal/
COSMIC https://cancer.sanger.ac.uk/cosmic
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