Camurati-Engelmann Disease (CED) Cell Models for Research

Disease Burden and Research Significance

Epidemiology and Clinical Impact

Camurati-Engelmann Disease (CED) is a rare autosomal dominant disorder with an estimated prevalence of less than 1 in 1,000,000 individuals worldwide (WHO, 2023). It is characterized by progressive hyperostosis of the long bones and skull, leading to bone pain, muscle weakness, and neurological complications. The disease onset typically occurs in childhood, and the severity varies widely. There is no cure, and treatment is symptomatic, focusing on pain management and physical therapy. The chronic nature of CED significantly impacts quality of life, making it a critical area for research into targeted therapies.

Value as a Research Model

CED is an ideal model for studying bone remodeling and TGF-β signaling pathways. The disease is primarily caused by mutations in the TGFB1 gene, which encodes transforming growth factor beta 1. These mutations lead to increased TGF-β activity, resulting in abnormal bone formation. Research on CED can provide insights into the molecular mechanisms of bone homeostasis and offer a platform for testing TGF-β inhibitors. Public datasets, such as those from NCBI ClinVar and UniProt, provide valuable information on TGFB1 mutations and their functional consequences, facilitating the development of gene-edited cell models for drug discovery.

Core Molecular Pathogenesis

Major Carcinogenic Pathways

Although CED is not a cancer, its pathogenesis involves dysregulated signaling pathways that are also relevant to cancer biology. The primary pathway is the TGF-β signaling pathway:

1. TGF-β ligand binds to TGF-β receptor type II (TGFBR2).

2. TGFBR2 recruits and phosphorylates TGF-β receptor type I (TGFBR1).

3. Activated TGFBR1 phosphorylates SMAD2 and SMAD3.

4. Phosphorylated SMAD2/3 form a complex with SMAD4.

5. The SMAD complex translocates to the nucleus and regulates target gene transcription.

In CED, mutations in TGFB1 lead to increased TGF-β activity, enhancing SMAD signaling and promoting osteoblast differentiation and bone formation. This pathway is also implicated in fibrosis and cancer progression, making CED a relevant model for studying TGF-β biology.

High-Frequency Genetic Alterations
GeneFrequency (%)Mutation TypeFunctional Effect
TGFB1~90%MissenseIncreased TGF-β activity
TGFBR1RareMissenseAltered receptor signaling
TGFBR2RareMissenseAltered receptor signaling

Data from ClinVar and COSMIC indicate that TGFB1 mutations are the primary cause of CED, with over 20 distinct mutations reported. These mutations are typically located in the latency-associated peptide (LAP) region, leading to premature activation of TGF-β.

Deregulated Signaling Networks

The key deregulated signaling network in CED is the TGF-β/SMAD pathway. Key nodes include:

  • • TGFB1: Ligand, overexpressed or hyperactive.
  • • TGFBR1 and TGFBR2: Receptors, may be altered.
  • • SMAD2/3: Transcription factors, hyperphosphorylated.
  • • SMAD4: Co-SMAD, essential for nuclear translocation.
  • • Target genes: RUNX2, COL1A1, and others involved in osteoblast differentiation.

Additionally, cross-talk with BMP signaling and WNT pathways may modulate the phenotype. These networks provide potential therapeutic targets for CED and related conditions.

Experimental Model Systems

Cell Lines and Organoids
Cell LineOriginKey Mutations
hFOB 1.19Human fetal osteoblastWild-type TGFB1
MG-63Human osteosarcomaTGFB1 overexpression
Saos-2Human osteosarcomap53 mutant, TGFB1 wild-type

Organoids derived from patient-derived induced pluripotent stem cells (iPSCs) can recapitulate bone development and are useful for studying CED. They offer a more physiologically relevant model than traditional cell lines, allowing for the study of cell-cell interactions and tissue architecture.

Animal Models (PDX, GEMM, Induced)

Animal models for CED include:

  • • Genetically engineered mouse models (GEMMs) carrying TGFB1 mutations (e.g., Tgfb1^C225R) that mimic human CED.
  • • Induced models using TGF-β administration to mimic the hyperostosis phenotype.
  • • Patient-derived xenografts (PDX) are less common due to the non-cancerous nature of CED, but bone tissue from patients can be transplanted into immunodeficient mice for study.

These models are valuable for studying disease progression and testing therapeutic interventions.

Gene-Edited Cell Models

CRISPR-based gene editing has enabled the creation of isogenic cell models for CED. For example:

  • • TGFB1 knockout cell lines: These cells lack TGF-β1, allowing researchers to study the loss-of-function effects and the role of TGF-β in bone metabolism.
  • • TGFB1 knock-in cell lines: Introduction of specific CED-associated mutations (e.g., R218C) into wild-type cells to model the disease phenotype.

These gene-edited models are sequence-verified and can be used for drug screening and functional studies. Commercially available, these models accelerate research by providing consistent and reproducible systems. However, it is important to validate the genetic modifications and ensure the absence of off-target effects.

Related Disease

Disease name Disease type

Related Products

Product name Cat.No. Species Gene ID
H19 Overexpression HT-29 Stable Cell Line EDC90119 Human 283120 Details Get a Quote
TCIRG1 Overexpression THP-1 Stable Cell Line EDC90140 Human 10312 Details Get a Quote
TRPV4 Overexpression HEK293 Stable Cell Line EDJ-GQ77 Human 59341 Details Get a Quote
NLRP3 Knockout MARC145 Cell Line EDJ-KQ78172 African green monkey 114548 Details Get a Quote
Nlrp3 Knockout BV-2 Cell Line EDC90056 Mouse 216799 Details Get a Quote
Trem2 Knockout BV-2 Cell Line EDC07598 Mouse 83433 Details Get a Quote
TRPV6 Knockout Caco-2 Cell Line EDJ-KQ09 Human 55503 Details Get a Quote
CTNNB1 Knockout HCT 116 Cell Line EDJ-KQ22 Human 1499 Details Get a Quote
TRAPPC2 Knockout HeLa Cell Line EDJ-KQ27 Human 6399 Details Get a Quote
FN1 Knockout HMRSV5 Cell Line EDJ-KQ42 Human 2335 Details Get a Quote
SMARCAL1 Knockout Huh-7 Cell Line EDJ-KQ46 Human 50485 Details Get a Quote
LRP6 Knockout HEK293T Cell Line EDJ-KQ94 Human 4040 Details Get a Quote
DVL3 Knockout HEK293 Cell Line EDJ-KQ112 Human 1857 Details Get a Quote
WNT1 Knockout HEK293 Cell Line EDJ-KQ118 Human 7471 Details Get a Quote
WNT6 Knockout HEK293 Cell Line EDJ-KQ119 Human 7475 Details Get a Quote
Displaying Records 1 To 15 Of 2593 Records

Applications of Gene-Edited Cells

Functional Genomics

Gene-edited cell models are essential for functional genomics studies. For example:

  • • TGFB1 knockout cell lines can be used to identify downstream targets of TGF-β signaling through transcriptomic and proteomic analyses.
  • • Knock-in cell lines with specific mutations can be compared to wild-type to determine the functional impact of each mutation on cellular phenotype.

These models help validate the role of TGFB1 in bone formation and identify potential therapeutic targets.

Drug Screening and Resistance

Isogenic cell line pairs (wild-type vs. mutant) are powerful tools for drug screening. For CED, these models can be used to:

  • • Screen for compounds that inhibit TGF-β signaling, such as TGFBR1 kinase inhibitors.
  • • Assess the efficacy of drugs in reducing osteoblast hyperactivity.
  • • Study mechanisms of drug resistance by exposing cells to increasing concentrations of inhibitors and selecting for resistant clones.

These approaches can accelerate the development of targeted therapies for CED.

Biomarker Discovery

CRISPR-based synthetic lethality screens can identify genes that are essential for the survival of CED cells but not normal cells. This can reveal novel biomarkers and therapeutic targets. For example, screening a library of CRISPR knockouts in TGFB1 mutant cells may identify genes that, when knocked out, selectively kill mutant cells while sparing wild-type cells. These genes could serve as drug targets for CED.

Public Data Resources

DatabaseURLDescription
TCGAhttps://www.cancer.gov/tcgaThe Cancer Genome Atlas provides genomic data for various cancers, though CED is not included, it offers comparative data for TGF-β pathway alterations.
cBioPortalhttps://www.cbioportal.orgAn open-access resource for exploring multidimensional cancer genomics data, including TGF-β pathway alterations.
DepMaphttps://depmap.orgThe Dependency Map provides CRISPR screens and RNAi data for cancer cell lines, useful for identifying genetic dependencies.
GEOhttps://www.ncbi.nlm.nih.gov/geoGene Expression Omnibus contains gene expression datasets from various studies, including those on TGF-β signaling.
ClinVarhttps://www.ncbi.nlm.nih.gov/clinvarA public archive of human genetic variants, including TGFB1 mutations associated with CED.
UniProthttps://www.uniprot.orgProtein sequence and functional information for TGFB1 and related proteins.

Frequently Asked Research Questions

The most common mutations are missense mutations in the TGFB1 gene, particularly in the latency-associated peptide (LAP) region, such as R218C and C225R.
CRISPR can be used to introduce specific TGFB1 mutations into wild-type cells (knock-in) or to knock out TGFB1 to study loss-of-function effects. These models are valuable for drug screening and functional studies.
Yes, several commercial sources offer CRISPR-engineered cell lines with TGFB1 mutations or knockouts. These are sequence-verified and can be used for research purposes.
They are used for functional genomics, drug screening, biomarker discovery, and studying the molecular mechanisms of TGF-β signaling.
Mutations in TGFB1 lead to increased TGF-β activity, which enhances SMAD signaling and promotes osteoblast differentiation and bone formation, resulting in the characteristic hyperostosis.

Key References and Database URLs

WHO https://www.who.int
NCI https://www.cancer.gov
NCBI Gene https://www.ncbi.nlm.nih.gov/gene/7040
ClinVar https://www.ncbi.nlm.nih.gov/clinvar/?term=TGFB1%5Bgene%5D
UniProt https://www.uniprot.org/uniprot/P01137
COSMIC https://cancer.sanger.ac.uk/cosmic
DepMap https://depmap.org
TCGA https://www.cancer.gov/tcga
cBioPortal https://www.cbioportal.org
GEO https://www.ncbi.nlm.nih.gov/geo
Contact Us
*
*
*
How did you hear about us: