Achromatopsia 2 (ACHM2) Cell Models for Research
Disease Burden and Research Significance
Achromatopsia (ACHM) is a rare inherited retinal disorder with an estimated prevalence of 1 in 30,000 to 1 in 50,000 worldwide (WHO). ACHM2 is the most common genetic subtype, accounting for approximately 25-30% of all ACHM cases. The disease is characterized by severe color vision deficiency, photophobia, nystagmus, and reduced visual acuity from birth. There is no cure, and current management focuses on symptomatic relief and low-vision aids. The clinical impact is significant, as patients experience lifelong visual impairment, affecting quality of life and daily activities.
ACHM2 serves as an excellent model for studying cone photoreceptor function and degeneration. The disease is monogenic, with mutations in the CNGA3 gene, making it amenable to gene therapy and gene editing approaches. Public datasets, such as those from the NCBI ClinVar and the Human Gene Mutation Database, provide extensive genotype-phenotype correlations. Open questions include the precise molecular mechanisms of cone degeneration and the optimal strategies for gene replacement or editing. Research models, including gene-edited cell lines, are essential for functional studies and therapeutic development.
Core Molecular Pathogenesis
- • While ACHM2 is not a cancer, the molecular pathways involved in cone photoreceptor function are critical. The CNGA3 gene encodes the alpha subunit of the cyclic nucleotide-gated (CNG) channel, which is essential for phototransduction in cone cells. The pathway involves:
- • Light activation of cone opsins
- • Activation of transducin (GNAT2)
- • Activation of phosphodiesterase (PDE6C)
- • Reduction of cGMP levels
- • Closure of CNG channels (composed of CNGA3 and CNGB3 subunits)
- • Hyperpolarization of the photoreceptor and signal transmission
| Gene | Frequency (%) | Mutation Type | Functional Effect |
|---|---|---|---|
| CNGA3 | 25-30 | Missense, nonsense, frameshift | Loss of function of CNG channel, impaired phototransduction |
| CNGB3 | 40-50 | Missense, splice site | Loss of function of CNG channel beta subunit |
| GNAT2 | <2 | Missense | Impaired transducin function |
| PDE6C | <2 | Missense | Impaired phosphodiesterase activity |
Data from NCBI ClinVar and COSMIC (for somatic mutations, though ACHM2 is germline).
- • The primary signaling network is the phototransduction cascade. Key nodes include:
- • CNGA3/CNGB3 heterotetrameric channel: regulates cGMP-gated ion flux
- • GNAT2: G-protein transducin, mediates signal amplification
- • PDE6C: hydrolyzes cGMP, leading to channel closure
- • Guanylate cyclase (GUCY2D) and guanylate cyclase activating proteins (GCAPs): regulate cGMP synthesis
Dysregulation of these components leads to cone dysfunction and eventual degeneration.
Experimental Model Systems
| Cell Line | Origin | Key Mutations |
|---|---|---|
| WERI-Rb-1 | Retinoblastoma | RB1 deletion |
| Y79 | Retinoblastoma | RB1 mutation |
| ARPE-19 | Retinal pigment epithelium | Wild-type for ACHM genes |
| 661W | Mouse cone photoreceptor | Wild-type, but can be edited |
Organoids derived from induced pluripotent stem cells (iPSCs) from ACHM2 patients provide a more physiologically relevant model, recapitulating cone development and degeneration.
- • CNGA3 knockout mouse: exhibits loss of cone function and progressive degeneration.
- • CNGB3 knockout mouse: similar phenotype.
- • Zebrafish models with cnga3 mutations: useful for high-throughput drug screening.
- • Induced models using CRISPR in mice: allow for specific mutation introduction.
CRISPR-based gene editing enables the creation of isogenic cell lines with specific CNGA3 mutations. For example, a CNGA3 knockout cell line can be generated in a retinal cell line (e.g., 661W) to model loss of function. Alternatively, a knock-in line with a common pathogenic mutation (e.g., p.Arg277Cys) can be created to study mutation-specific effects. These sequence-verified models are commercially available from various sources, accelerating research by providing consistent and reproducible tools. They are essential for functional studies, drug screening, and gene therapy development.
Related Disease
| Disease name | Disease type |
|---|
Related Services
Related Products
| Product name | Cat.No. | Species | Gene ID | |
|---|---|---|---|---|
| CNGA1 Knockout HEK293 Cell Line | EDJ-KQ1800 | Human | 1259 | Details Get a Quote |
| CNGA3 Knockout HEK293 Cell Line | EDJ-KQ1802 | Human | 1261 | Details Get a Quote |
| CNGB1 Knockout HEK293 Cell Line | EDJ-KQ1804 | Human | 1258 | Details Get a Quote |
| CNGB3 Knockout HEK293 Cell Line | EDJ-KQ1805 | Human | 54714 | Details Get a Quote |
| IQCB1 Knockout HEK293 Cell Line | EDJ-KQ6680 | Human | 9657 | Details Get a Quote |
| CC2D2A Knockout HEK293 Cell Line | EDJ-KQ12747 | Human | 57545 | Details Get a Quote |
| NPHP4 Knockout HEK293 Cell Line | EDJ-KQ14463 | Human | 261734 | Details Get a Quote |
| IQCB1 Knockout A-549 Cell Line | EDJ-KQ31011 | Human | 9657 | Details Get a Quote |
| IQCB1 Knockout HCT 116 Cell Line | EDJ-KQ31012 | Human | 9657 | Details Get a Quote |
| IQCB1 Knockout HeLa Cell Line | EDJ-KQ31013 | Human | 9657 | Details Get a Quote |
| NPHP4 Knockout A-549 Cell Line | EDJ-KQ44699 | Human | 261734 | Details Get a Quote |
| NPHP4 Knockout HCT 116 Cell Line | EDJ-KQ44700 | Human | 261734 | Details Get a Quote |
| CNGA1 Knockout HCT 116 Cell Line | EDJ-KQ21654 | Human | 1259 | Details Get a Quote |
| CC2D2A Knockout A-549 Cell Line | EDJ-KQ41850 | Human | 57545 | Details Get a Quote |
| CC2D2A Knockout HCT 116 Cell Line | EDJ-KQ41851 | Human | 57545 | Details Get a Quote |
Applications of Gene-Edited Cells
Knockout and knock-in lines are used to validate the functional impact of CNGA3 mutations. For example, a CNGA3 knockout line can be used to assess the effect on channel activity and downstream signaling. Knock-in lines with specific mutations allow for genotype-phenotype correlations. These models are also used in CRISPR screens to identify modifier genes that may influence disease severity.
Isogenic pairs (wild-type vs. mutant) are valuable for high-throughput screening of compounds that may rescue channel function or prevent degeneration. For instance, a CNGA3 knockout line can be used to screen for small molecules that activate alternative channels or compensate for the loss. Resistance modeling is less relevant for a genetic disease, but drug efficacy and toxicity can be assessed.
CRISPR synthetic lethality screens can identify genes that, when inhibited, selectively kill mutant cells but not wild-type cells. This approach can reveal potential therapeutic targets for ACHM2. Additionally, gene-edited cells can be used to identify biomarkers of disease progression or response to therapy.
Public Data Resources
| Database | URL | Description |
|---|---|---|
| NCBI Gene | https://www.ncbi.nlm.nih.gov/gene/ | Gene information for CNGA3, CNGB3, etc. |
| ClinVar | https://www.ncbi.nlm.nih.gov/clinvar/ | Clinical significance of genetic variants |
| UniProt | https://www.uniprot.org/ | Protein sequences and functional information |
| COSMIC | https://cancer.sanger.ac.uk/cosmic | Somatic mutations (though ACHM2 is germline, useful for comparison) |
| DepMap | https://depmap.org/portal/ | Cancer dependency data, may include retinal lines |
| GEO | https://www.ncbi.nlm.nih.gov/geo/ | Gene expression datasets |
Frequently Asked Research Questions
What is the most common mutation in ACHM2?
Can gene-edited cell lines be used for drug screening?
Are there commercially available ACHM2 cell models?
How do ACHM2 cell models compare to animal models?
What are the key challenges in developing therapies for ACHM2?
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/ |
| COSMIC | https://cancer.sanger.ac.uk/cosmic |
| DepMap | https://depmap.org/portal/ |
| GEO | https://www.ncbi.nlm.nih.gov/geo/ |