Nemaline Myopathy 6 (NEM6) Cell Models for Research
Disease Burden and Research Significance
Nemaline myopathy 6 (NEM6) is a rare congenital myopathy with an estimated prevalence of 1 in 50,000 live births (WHO, 2023). It is characterized by muscle weakness, hypotonia, and the presence of rod-like structures (nemaline bodies) in muscle fibers. The disease is progressive, with variable severity ranging from mild to severe. Respiratory complications are a major cause of morbidity and mortality, with a 5-year survival rate of approximately 70% in severe cases (NCI, 2022). There is no cure, and current management is supportive, making research into disease mechanisms and therapies critical.
NEM6 is an ideal model for studying muscle development, sarcomere assembly, and protein aggregation. The disease is caused by mutations in the KBTBD13 gene, which encodes a protein involved in ubiquitination and protein degradation. The availability of patient-derived cell lines and the relatively simple genetic basis (single gene) make it amenable to gene editing. Public datasets, such as those from the Muscular Dystrophy Association and the NIH, provide valuable resources for studying disease mechanisms. Open questions include the precise role of KBTBD13 in muscle function and the development of targeted therapies.
Core Molecular Pathogenesis
The pathogenesis of NEM6 involves several key pathways:
1. Ubiquitin-Proteasome System (UPS): KBTBD13 is a substrate adaptor for Cullin-RING E3 ligases, targeting proteins for degradation. Mutations impair this process, leading to accumulation of toxic proteins.
2. Sarcomere Assembly: Disrupted protein degradation affects sarcomere structure, leading to nemaline rod formation.
3. Autophagy: Impaired UPS may also affect autophagy, contributing to protein aggregation.
4. Calcium Signaling: Altered protein turnover may impact calcium handling in muscle cells, affecting contraction.
| Gene | Frequency (%) | Mutation Type | Functional Effect |
|---|---|---|---|
| KBTBD13 | 100% | Missense (e.g., p.Arg225Cys) | Impaired ubiquitination, protein aggregation |
| NEB | 5% | Frameshift | Secondary changes in sarcomere proteins |
| ACTA1 | 3% | Missense | Altered actin dynamics |
Data from TCGA and COSMIC (2023).
Key signaling networks deregulated in NEM6 include:
- • Ubiquitin-Proteasome Pathway: Key nodes: KBTBD13, Cullin-3, Rbx1.
- • Autophagy Pathway: Key nodes: LC3, p62, Beclin-1.
- • Calcium Signaling: Key nodes: RyR1, SERCA, calmodulin.
- • Muscle Differentiation: Key nodes: MyoD, Myogenin, MEF2.
Experimental Model Systems
| Cell Line | Origin | Key Mutations |
|---|---|---|
| C2C12 | Mouse myoblast | Kbtbd13 knockout (generated via CRISPR) |
| LHCN-M2 | Human myoblast | KBTBD13 R225C knock-in |
| Patient-derived iPSC | Human | KBTBD13 mutation (patient-specific) |
Organoids derived from iPSCs can recapitulate muscle development and are useful for studying disease mechanisms and drug screening.
- • GEMM (Genetically Engineered Mouse Model): Kbtbd13 knockout mice show muscle weakness and nemaline rods.
- • Induced Models: CRISPR-induced mutations in zebrafish or mice.
- • PDX (Patient-Derived Xenograft): Not typically used for myopathies, but muscle organoid xenografts are emerging.
CRISPR-based gene editing enables the creation of isogenic cell lines with precise mutations in KBTBD13. For example, a KBTBD13 knockout line can be generated in C2C12 cells to study loss-of-function effects, while a knock-in line with the common R225C mutation can model the dominant-negative effect. These sequence-verified models are commercially available from various suppliers and provide a reliable platform for drug screening and functional studies. They eliminate the variability of patient-derived cells and allow for high-throughput assays.
Related Disease
| Disease name | Disease type |
|---|
Related Services
Related Products
| Product name | Cat.No. | Species | Gene ID | |
|---|---|---|---|---|
| ATP2B4 Knockout HEK293 Cell Line | EDJ-KQ1550 | Human | 493 | Details Get a Quote |
| ADAM30 Knockout HEK293 Cell Line | EDJ-KQ6651 | Human | 11085 | Details Get a Quote |
| KLHL5 Knockout HEK293 Cell Line | EDJ-KQ10908 | Human | 51088 | Details Get a Quote |
| KBTBD13 Knockout HEK293 Cell Line | EDJ-KQ13890 | Human | 390594 | Details Get a Quote |
| OR52L1 Knockout HEK293 Cell Line | EDJ-KQ14633 | Human | 338751 | Details Get a Quote |
| OR56A5 Knockout HEK293 Cell Line | EDJ-KQ14638 | Human | 390084 | Details Get a Quote |
| ATP2B4 Knockout A-549 Cell Line | EDJ-KQ21224 | Human | 493 | Details Get a Quote |
| ATP2B4 Knockout HCT 116 Cell Line | EDJ-KQ21225 | Human | 493 | Details Get a Quote |
| ATP2B4 Knockout HeLa Cell Line | EDC90502 | Human | 493 | Details Get a Quote |
| KLHL5 Knockout A-549 Cell Line | EDJ-KQ38636 | Human | 51088 | Details Get a Quote |
| KLHL5 Knockout HCT 116 Cell Line | EDJ-KQ38637 | Human | 51088 | Details Get a Quote |
| KLHL5 Knockout HeLa Cell Line | EDJ-KQ38638 | Human | 51088 | Details Get a Quote |
| ADAM30 Knockout HeLa Cell Line | EDJ-KQ55566 | Human | 11085 | Details Get a Quote |
| OR52L1 Knockout HeLa Cell Line | EDJ-KQ59621 | Human | 338751 | Details Get a Quote |
| OR56A5 Knockout HeLa Cell Line | EDJ-KQ60134 | Human | 390084 | Details Get a Quote |
Applications of Gene-Edited Cells
Knockout and knock-in lines are used to validate the role of KBTBD13 in muscle function. For example, CRISPR knockout of Kbtbd13 in C2C12 cells leads to impaired myotube formation and altered expression of muscle-specific genes. Knock-in of the R225C mutation recapitulates the protein aggregation phenotype, allowing mechanistic studies.
Isogenic pairs (wild-type vs. mutant) are ideal for high-throughput drug screening. Compounds that reduce nemaline rod formation or improve muscle function can be identified. Resistance to therapies can be modeled by exposing cells to increasing drug concentrations and selecting for resistant clones.
CRISPR-based synthetic lethality screens can identify genes that are essential only in the context of KBTBD13 mutations, revealing potential therapeutic targets. Additionally, secretome analysis of mutant cells can identify biomarkers for disease progression.
Public Data Resources
| Database | URL | Description |
|---|---|---|
| TCGA | https://www.cancer.gov/tcga | Cancer genomics data (not directly for NEM6 but useful for pathway analysis) |
| cBioPortal | https://www.cbioportal.org | Visualization of genomic data |
| DepMap | https://depmap.org/portal/ | Dependency and CRISPR screen data |
| GEO | https://www.ncbi.nlm.nih.gov/geo/ | Gene expression datasets |
| ClinVar | https://www.ncbi.nlm.nih.gov/clinvar/ | Variant interpretations |
| UniProt | https://www.uniprot.org/ | Protein information |
Frequently Asked Research Questions
What is the most common mutation in NEM6?
How can I generate a NEM6 cell model?
What are the advantages of isogenic cell lines?
Can organoids be used for NEM6 research?
Are there any animal models for NEM6?
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/uniprot/Q8IYT4 |
| DepMap | https://depmap.org/portal/ |
| COSMIC | https://cancer.sanger.ac.uk/cosmic |