ANAPC13 (Anaphase-Promoting Complex Subunit 13) is a 74-amino acid protein encoded by the ANAPC13 gene located on chromosome 3q22.2 . It is a conserved component of the anaphase-promoting complex/cyclosome (APC/C), a ubiquitin ligase critical for cell cycle regulation. This protein plays a role in mediating ubiquitination and subsequent degradation of key cell cycle regulators, ensuring proper progression through mitosis and the G1 phase .
The APC/C complex, including ANAPC13, primarily generates 'Lys-11'-linked polyubiquitin chains to tag proteins like B-type cyclins for proteasomal degradation . This activity ensures:
Breast Cancer: Reduced ANAPC13 expression correlates with advanced tumor stages and poor survival. Tumors with low ANAPC13 exhibit chromosomal gains (1q, 8q, 17q) and losses linked to genomic instability .
Leukemia and Immune Dysregulation: The SF3B1-K700E mutation induces aberrant splicing of ANAPC13 in regulatory T cells (Tregs), impairing immune tolerance and accelerating cancer progression in murine models .
Disruption of APC/C components, including ANAPC13, confers resistance to TTK kinase inhibitors (e.g., CFI-402257) in triple-negative breast cancer by delaying mitotic exit .
ANAPC13 is the anaphase promoting complex subunit 13 (Gene ID: 25847), a component of the anaphase-promoting complex/cyclosome (APC/C) that plays a crucial role in cell cycle regulation . The protein functions within this multi-subunit E3 ubiquitin ligase complex which targets specific substrates for ubiquitin-mediated degradation during mitosis and G1 phase. Research indicates that ANAPC13 contributes significantly to adult stature morphogenesis and skeletal growth in humans . The gene appears to be evolutionarily conserved across species, suggesting its fundamental importance in cellular processes related to growth and development . Studies investigating ANAPC13 function should consider its integration within the larger APC/C complex and its potential downstream effects on cell proliferation pathways.
Evidence suggests that ANAPC13 influences human height through its involvement in skeletal development pathways. Comparative studies in bovine models have demonstrated associations between ANAPC13 polymorphisms and multiple body measurement traits including withers height, hip height, and body length . Researchers found that certain genotypes correlate with significant differences in skeletal development parameters. Specifically, in cattle studies, the AGCT genotype showed higher values for body length, withers height, hip height, hip width, heart girth, and pin bone width compared to the AACC genotype (P < 0.01) . This evidence, combined with findings from human genome-wide association studies investigating height-determining genes, supports ANAPC13's role in the complex genetic architecture underlying human stature variation . The mechanism likely involves ANAPC13's participation in signaling pathways critical for skeletal growth regulation during development.
While the search results don't comprehensively detail all human ANAPC13 polymorphisms, comparative research in mammalian models has identified significant genetic variations. In bovine studies, researchers identified two notable polymorphisms in the ANAPC13 gene: an A>G substitution at position 17bp and a C>T substitution at position 42bp, which appeared to be in linkage disequilibrium in most cases . Using PCR-SSCP (Polymerase Chain Reaction-Single-Strand Conformation Polymorphism) and DNA sequencing technologies, researchers identified three predominant genotypes: AACC, AGCT, and GGTT . These findings suggest that similar approaches could be valuable for identifying human ANAPC13 polymorphisms. Researchers studying human ANAPC13 should consider investigating both coding and non-coding regions, as the study found that "polymorphisms and mutations in non-coding regions of the ANAPC13 gene significantly affect body measurement traits" .
When conducting association studies involving ANAPC13 variants, researchers should employ robust statistical methodologies similar to those used in existing research. Based on methodological approaches in the literature, researchers should analyze multiple genetic parameters including genotypic frequencies, allelic frequencies, Hardy-Weinberg equilibriums, gene homozygosity (HO), gene heterozygosity (HE), effective allele numbers (NE), and polymorphism information content (PIC) . Statistical analysis should employ appropriate linear models accounting for relevant covariates. For example, one statistical approach used in ANAPC13 research is represented by the equation:
Yijk = μ + Gj + Ai + Eijk
Multiple complementary techniques should be employed when investigating ANAPC13 expression and function. For genetic variant identification, PCR-SSCP followed by DNA sequencing has proven effective . When analyzing expression patterns, researchers can utilize recombinant ANAPC13 proteins, which are available as research tools in various forms including His-tagged and GST-tagged variants . For functional studies, both in vitro cellular models and potentially in vivo approaches may be valuable. Protein interaction studies would be essential given ANAPC13's role as part of the larger anaphase-promoting complex.
When working with recombinant ANAPC13, researchers should consider the following specifications:
| Parameter | Specification |
|---|---|
| Source | Mammalian Cells |
| Tag Options | His, GST, or His(Fc)-Avi |
| Form | Liquid or lyophilized powder |
| Endotoxin Level | < 1.0 EU per μg protein |
| Purity | >80% |
| Storage Conditions | +4°C (short term), -20°C to -80°C (long term) |
| Storage Buffer | PBS buffer |
These parameters are important for experimental design considerations and should be optimized based on specific research applications .
To effectively investigate ANAPC13's role in height determination, researchers should consider multi-disciplinary approaches that integrate genetics, cell biology, and potentially animal models. Genome-wide association studies (GWAS) have proven valuable in identifying height-associated genes . For mechanistic studies, researchers might consider:
Genetic association studies comparing ANAPC13 variants with height measurements in diverse human populations
Functional genomics approaches including CRISPR-based gene editing to modify ANAPC13 expression
Analysis of ANAPC13's interaction with known skeletal growth pathways
Potential animal models with ANAPC13 modifications to observe developmental effects
Researchers should be particularly attentive to ANAPC13's potential interactions with other height-determining genes identified in previous research. As noted in the literature, "many of the implicated genes are components of signaling pathways that are known to be important in skeletal growth" . This suggests that ANAPC13 likely functions within a complex network of growth-regulating factors rather than in isolation.
While ANAPC13 has not been directly implicated in the major categorized growth disorders according to the available search results, understanding its function may provide insights into the complex genetics of human growth. The literature documents numerous growth disorders with identified genetic causes, including Seckel syndrome (associated with PCNT, CENPJ, ATR genes), Laron syndrome (GHR gene), and Silver-Russell syndrome (IGF2) . Research into ANAPC13 should consider potential interactions with these established growth-related pathways.
The table below summarizes some key growth disorders and their genetic associations, providing context for ANAPC13 research:
| Growth Disorder | Clinical Features | Affected Gene(s) | Gene Functions |
|---|---|---|---|
| Silver-Russell syndrome | Low birth weight, postnatal short stature, characteristic facial features, body asymmetry | IGF2 | Secreted signaling molecule promoting growth and division in tissues, including cartilage development |
| Laron syndrome | Dwarfism, facial phenotype, obesity, hypogenitalism | GHR | Growth hormone receptor critical for growth hormone signaling |
| Seckel syndrome | Short stature, microcephaly, mental retardation, "beak-like" nose | PCNT, CENPJ, ATR, ATRIP, CEP152, CtIP | Centrosomal function and cellular responses to DNA damage |
| 3-M syndrome | Severe growth retardation, delayed bone age, distinctive facial features | CUL7, OBSL1, CCDC8 | Microtubule stabilization and genome stability |
This contextual understanding is critical for researchers investigating whether ANAPC13 might contribute to known disorders or represent a novel pathway in growth regulation .
When investigating ANAPC13 in clinical contexts, researchers should employ a combination of genetic, molecular, and phenotypic analysis techniques. For genetic evaluations, sequencing of the ANAPC13 gene in patients with unexplained growth abnormalities could reveal novel variants. Functional validation of identified variants using cell-based assays would be essential to establish causality.
Researchers might consider the following methodological approaches:
Case-control studies comparing ANAPC13 variants in individuals with growth abnormalities versus healthy controls
Family-based studies examining inheritance patterns of ANAPC13 variants
Molecular characterization of variant effects on protein function
Analysis of potential disruptions to the anaphase promoting complex
Integration of findings with clinical data including growth measurements and developmental milestones
These approaches should be conducted with careful consideration of ethical guidelines for human subjects research, particularly when studying pediatric populations with growth disorders.
Potential research approaches to elucidate these interactions include:
Co-immunoprecipitation studies to identify direct binding partners
Proximity labeling techniques to map the ANAPC13 interactome
Structural biology approaches including cryo-EM to determine ANAPC13's position within the complex
Functional assays examining how ANAPC13 depletion affects the activity of other APC/C components
Understanding these interactions is crucial for comprehending how ANAPC13 variants might affect complex assembly and function, potentially explaining downstream effects on growth and development.
Several cutting-edge technologies show promise for advancing ANAPC13 research beyond traditional methods. Single-cell approaches could reveal cell type-specific expression patterns and functions of ANAPC13. CRISPR-based technologies enable precise genetic modifications to study ANAPC13 function in various cellular contexts. Advances in proteomics, particularly those allowing temporal resolution of protein interactions, could illuminate ANAPC13's dynamic role during cell cycle progression.
Researchers might also consider:
High-throughput phenotypic screening to identify modifiers of ANAPC13 function
Organoid models to study ANAPC13's role in three-dimensional tissue development
Systems biology approaches integrating multi-omics data to position ANAPC13 within broader growth regulatory networks
Computational modeling to predict the functional consequences of ANAPC13 variants
These advanced approaches could overcome limitations of traditional methods and provide deeper insights into ANAPC13's biological significance.
When facing contradictory findings regarding ANAPC13 function, researchers should employ a systematic approach to resolve discrepancies. First, methodological differences between studies should be carefully examined, as variations in experimental design, model systems, or analysis techniques could explain divergent results. Researchers should consider:
Replicating key experiments using standardized protocols
Employing multiple complementary techniques to validate findings
Analyzing potential context-dependent effects (cell type, developmental stage, etc.)
Conducting meta-analyses of available data when appropriate
Assessing the statistical power of contradictory studies
It's also important to consider that ANAPC13 may have pleiotropic effects, functioning differently in various cellular contexts or developmental stages, which could explain apparently contradictory observations across studies.
Testing for Hardy-Weinberg equilibrium to assess genotype distribution validity
Calculating population genetic parameters (heterozygosity, effective allele numbers, polymorphism information content)
Employing appropriate statistical models that account for covariates and potential confounders
Addressing multiple testing concerns through appropriate corrections
Ensuring adequate sample sizes for sufficient statistical power
For association studies, linear or logistic regression models may be appropriate depending on the nature of the phenotypic data. As demonstrated in bovine research, statistical models should account for relevant factors such as age that might influence the traits under investigation . Researchers should also consider potential linkage disequilibrium between ANAPC13 variants and other nearby genetic elements that might confound association analyses.
Several aspects of ANAPC13 remain largely unexplored and represent promising avenues for future research. The temporal and spatial expression patterns of ANAPC13 during human development require more detailed characterization. The potential role of ANAPC13 in specific growth plates and chondrocyte function, given its association with height determination, warrants particular attention. Additionally, potential non-canonical functions of ANAPC13 outside the anaphase promoting complex have not been thoroughly investigated.
Researchers should also consider:
Epigenetic regulation of ANAPC13 expression during development
Potential isoforms and their tissue-specific functions
Evolutionary conservation and divergence of ANAPC13 function across species
Environmental factors that might modulate ANAPC13 activity
Therapeutic potential of targeting ANAPC13 pathways in growth disorders
These unexplored aspects could reveal new insights into growth regulation mechanisms and potentially identify novel therapeutic targets for growth-related conditions.
As our understanding of ANAPC13's role in growth regulation advances, this knowledge could inform personalized medicine approaches to growth disorders. Genetic screening for ANAPC13 variants might help identify individuals at risk for certain growth abnormalities, allowing earlier intervention. Understanding the functional consequences of specific variants could enable more precise categorization of growth disorders and targeted therapeutic approaches.
Potential applications in personalized medicine include:
Genetic counseling based on ANAPC13 variant profiles
Development of targeted therapies addressing specific pathway disruptions
Biomarker identification for treatment response prediction
Patient stratification for clinical trials of growth disorder therapies
Precision dosing of growth-promoting treatments based on genetic background
The integration of ANAPC13 research into personalized medicine frameworks requires continued investment in basic research to elucidate mechanisms, as well as translational efforts to apply these findings in clinical contexts.
The Anaphase Promoting Complex (APC), also known as the cyclosome, is a crucial E3 ubiquitin ligase that regulates the cell cycle by marking specific proteins for degradation by the 26S proteasome. One of its essential subunits is the Anaphase Promoting Complex Subunit 13 (ANAPC13), which plays a significant role in maintaining the integrity and functionality of the APC/C complex .
ANAPC13 is a protein-coding gene that encodes a component of the APC/C complex. The APC/C complex is composed of 11-13 subunit proteins, including a cullin (Apc2) and RING (Apc11) subunit, which are essential for its ubiquitin ligase activity . ANAPC13 is evolutionarily conserved and is required for the integrity and ubiquitin ligase activity of the APC/C complex .
The primary function of the APC/C complex is to control cell cycle progression by regulating the degradation of cell cycle regulators such as B-type cyclins. This regulation is achieved through the ubiquitination and subsequent degradation of target proteins, primarily mediating the formation of ‘Lys-11’-linked polyubiquitin chains .
ANAPC13 is crucial for the proper functioning of the APC/C complex, which in turn is vital for cell cycle regulation. The APC/C complex controls progression through mitosis and the G1 phase of the cell cycle by triggering the degradation of key cell cycle regulators . This ensures that cells divide correctly and maintain genomic stability.
Mutations or dysregulation of ANAPC13 and other components of the APC/C complex can lead to various diseases. For instance, diseases associated with ANAPC13 include Neurofibromatosis, Familial Spinal, and Middle Ear Adenoma . Understanding the role of ANAPC13 in these diseases can provide insights into potential therapeutic targets for treating cell cycle-related disorders.