Tooth Agenesis, Selective, 4 (STHAG4) Cell Models for Research

Disease Burden and Research Significance

Epidemiology and Clinical Impact

Tooth agenesis is the most common human congenital anomaly, with prevalence ranging from 1.6% to 9.6% depending on the population and excluding third molars. Selective tooth agenesis (STHAG) is a nonsyndromic form characterized by the congenital absence of one or more permanent teeth. STHAG4 is a specific subtype linked to mutations in the WNT10A gene. The condition can lead to functional and aesthetic problems, affecting mastication, speech, and quality of life. Early diagnosis and intervention are crucial for dental rehabilitation.

Value as a Research Model

STHAG4 serves as an excellent model for studying tooth development and the molecular mechanisms underlying odontogenesis. The disease is relatively well-defined genetically, with WNT10A mutations accounting for a significant proportion of cases. Public datasets such as the Human Gene Mutation Database (HGMD) and ClinVar provide extensive variant information. Open questions remain regarding the genotype-phenotype correlation and the role of WNT10A in other tissues, making it a valuable area for functional studies.

Core Molecular Pathogenesis

Major Carcinogenic Pathways

While tooth agenesis is not a cancer, the underlying pathways are critical for development. The WNT/β-catenin signaling pathway is central to tooth development. Here are the key steps:

1. WNT ligand (e.g., WNT10A) binds to Frizzled receptors and LRP5/6 co-receptors.

2. This leads to stabilization of β-catenin, which translocates to the nucleus.

3. β-catenin activates transcription of target genes such as MSX1, PAX9, and AXIN2, which are essential for odontogenesis.

Dysregulation of this pathway, often due to mutations in WNT10A, disrupts the signaling cascade, leading to arrested tooth development.

High-Frequency Genetic Alterations
GeneFrequency (%)Mutation TypeFunctional Effect
WNT10A50-70% in STHAG4Missense, nonsense, frameshiftLoss-of-function, reduced WNT signaling
AXIN25-10%Missense, frameshiftLoss-of-function, increased β-catenin degradation
MSX12-5%Missense, nonsenseLoss-of-function, impaired transcription factor activity
PAX92-5%Missense, frameshiftLoss-of-function, reduced DNA binding

Data from ClinVar and literature.

Deregulated Signaling Networks

The WNT/β-catenin pathway is the primary network affected in STHAG4. Key nodes include:

  • • WNT10A: ligand, crucial for activation.
  • • LRP6: co-receptor, mutations can affect signaling.
  • • β-catenin: central mediator, its stability is regulated by a destruction complex (APC, AXIN, GSK3β).
  • • AXIN2: scaffold protein, also a target gene, creating a negative feedback loop.
  • • MSX1 and PAX9: transcription factors downstream, essential for dental mesenchyme development.

Additionally, the BMP and FGF pathways interact with WNT signaling during tooth morphogenesis, and their crosstalk is often disrupted in agenesis.

Experimental Model Systems

Cell Lines and Organoids
Cell LineOriginKey Mutations
HAT-7Rat dental epithelialWild-type
mDPMouse dental papillaWild-type
SF2Human dental follicleWild-type

Organoids derived from dental stem cells are emerging as more physiologically relevant models, recapitulating tooth development in vitro. They can be generated from induced pluripotent stem cells (iPSCs) and used to study the effects of gene mutations in a 3D context.

Animal Models (PDX, GEMM, Induced)
  • • Genetically engineered mouse models (GEMMs): WNT10A knockout mice exhibit tooth agenesis, providing a valuable in vivo model.
  • • Induced models: Chemical induction or surgical removal of tooth germs can mimic agenesis.
  • • PDX models: Not commonly used for tooth agenesis, but xenografts of dental tissues can be used for mechanistic studies.

These models allow for the study of tooth development in a whole-organism context.

Gene-Edited Cell Models

CRISPR-based gene editing enables the creation of isogenic cell lines with specific mutations in WNT10A, AXIN2, MSX1, or PAX9. For example, a WNT10A knockout cell line can be generated in a dental epithelial cell line, while a knock-in line can introduce a specific point mutation (e.g., p.Cys107*) found in patients. These models are sequence-verified and commercially available from various sources, accelerating research by providing consistent and reproducible tools. They are ideal for studying the molecular consequences of mutations and for drug screening.

Related Disease

Disease name Disease type

Related Products

Product name Cat.No. Species Gene ID
WNT10A Knockout HEK293 Cell Line EDJ-KQ347 Human 80326 Details Get a Quote
WNT10A Knockout HeLa Cell Line EDJ-KQ57327 Human 80326 Details Get a Quote
WNT10A Knockout A-549 Cell Line EDJ-KQ65833 Human 80326 Details Get a Quote
WNT10A Knockout HCT 116 Cell Line EDJ-KQ74258 Human 80326 Details Get a Quote
Displaying Records 1 To 4 Of 4 Records

Applications of Gene-Edited Cells

Functional Genomics

Knockout and knock-in lines are used to validate the role of genes in tooth development. For instance, WNT10A knockout cells show reduced WNT signaling activity, confirming its role in the pathway. Similarly, introducing a patient-specific mutation into a wild-type line can demonstrate the pathogenic effect. These models are essential for functional genomics studies, including transcriptomic and proteomic analyses.

Drug Screening and Resistance

Isogenic pairs (wild-type vs. mutant) are powerful tools for drug screening. They can be used to identify compounds that rescue the mutant phenotype, such as WNT pathway agonists. Additionally, they can be used to study resistance mechanisms to drugs that target the WNT pathway, which is relevant in cancer contexts where WNT signaling is often hyperactivated.

Biomarker Discovery

CRISPR-based synthetic lethality screens can identify genes that, when silenced, are lethal only in the context of a specific mutation. For example, in WNT10A mutant cells, silencing a gene that compensates for WNT loss might be lethal, revealing potential therapeutic targets. Such screens can also identify biomarkers for early diagnosis or prognosis.

Public Data Resources

DatabaseURLDescription
ClinVarhttps://www.ncbi.nlm.nih.gov/clinvar/Curated database of human genetic variants and their clinical significance.
HGMDhttp://www.hgmd.cf.ac.uk/ac/index.phpHuman Gene Mutation Database, comprehensive collection of germline mutations.
gnomADhttps://gnomad.broadinstitute.org/Genome Aggregation Database, population frequency of variants.
OMIMhttps://www.omim.org/Online Mendelian Inheritance in Man, catalog of human genes and genetic disorders.
DepMaphttps://depmap.org/portal/Dependency Map, cancer cell line genetic dependencies and vulnerabilities.

Frequently Asked Research Questions

WNT10A is the most frequently mutated gene, accounting for up to 70% of cases.
Yes, isogenic cell lines with specific mutations are valuable for high-throughput screening to identify compounds that modulate WNT signaling.
Yes, several cell lines with WNT10A knockout are available from commercial sources, but we do not endorse specific vendors.
AXIN2 mutations cause a more severe form of tooth agenesis, often associated with colorectal cancer predisposition.
Custom gene editing services are available from various CROs, which can design and validate CRISPR-mediated knockouts or knock-ins in your desired cell line.

Key References and Database URLs

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