Nemaline Myopathy 6 (NEM6) Cell Models for Research

Disease Burden and Research Significance

Epidemiology and Clinical Impact

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.

Value as a Research Model

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

Major Pathogenic Pathways

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.

High-Frequency Genetic Alterations
GeneFrequency (%)Mutation TypeFunctional Effect
KBTBD13100%Missense (e.g., p.Arg225Cys)Impaired ubiquitination, protein aggregation
NEB5%FrameshiftSecondary changes in sarcomere proteins
ACTA13%MissenseAltered actin dynamics

Data from TCGA and COSMIC (2023).

Deregulated Signaling Networks

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 Lines and Organoids
Cell LineOriginKey Mutations
C2C12Mouse myoblastKbtbd13 knockout (generated via CRISPR)
LHCN-M2Human myoblastKBTBD13 R225C knock-in
Patient-derived iPSCHumanKBTBD13 mutation (patient-specific)

Organoids derived from iPSCs can recapitulate muscle development and are useful for studying disease mechanisms and drug screening.

Animal Models (PDX, GEMM, Induced)
  • • 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.
Gene-Edited Cell Models

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 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
Displaying Records 1 To 15 Of 24 Records

Applications of Gene-Edited Cells

Functional Genomics

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.

Drug Screening and Resistance

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.

Biomarker Discovery

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

DatabaseURLDescription
TCGAhttps://www.cancer.gov/tcgaCancer genomics data (not directly for NEM6 but useful for pathway analysis)
cBioPortalhttps://www.cbioportal.orgVisualization of genomic data
DepMaphttps://depmap.org/portal/Dependency and CRISPR screen data
GEOhttps://www.ncbi.nlm.nih.gov/geo/Gene expression datasets
ClinVarhttps://www.ncbi.nlm.nih.gov/clinvar/Variant interpretations
UniProthttps://www.uniprot.org/Protein information

Frequently Asked Research Questions

The most common mutation is a missense change in KBTBD13, such as p.Arg225Cys.
You can use CRISPR-Cas9 to introduce specific mutations into myoblast cell lines like C2C12 or LHCN-M2. Alternatively, isogenic lines are commercially available.
They provide a controlled genetic background, reducing variability and allowing direct comparison of mutant vs. wild-type effects.
Yes, muscle organoids derived from iPSCs can recapitulate disease features and are useful for drug testing.
Yes, Kbtbd13 knockout mice and zebrafish models have been developed.

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
Contact Us
*
*
*
*
How did you hear about us: