Recombinant Mouse Cytosolic carboxypeptidase 2 (Agbl2) is a protein enzyme that belongs to the cytosolic carboxypeptidase family. Its primary functions include:
Mediating deglutamylation of tubulin and non-tubulin target proteins
Catalyzing the removal of polyglutamate side chains on the gamma-carboxyl group of glutamate residues within the C-terminal tail of tubulin protein
Cleaving tubulin long-side-chains
Catalyzing the removal of polyglutamate residues from the carboxy-terminus of non-tubulin proteins
These enzymatic activities play crucial roles in microtubule dynamics and cytoskeletal organization. The deglutamylation process is a post-translational modification that affects protein function and interaction networks, influencing various cellular processes including cell division, intracellular transport, and morphogenesis.
Recombinant Mouse Agbl2 can be produced using several expression systems, each with distinct advantages for different research applications:
| Expression System | Product Code Example | Advantages | Typical Applications |
|---|---|---|---|
| Yeast | CSB-YP805567MO | Post-translational modifications, proper folding | Structural studies, enzyme activity assays |
| E. coli | CSB-EP805567MO | High yield, cost-effective | Basic binding studies, antibody production |
| E. coli (Biotinylated) | CSB-EP805567MO-B | Avi-tag biotinylation for detection | Protein interaction studies, ELISA |
| Baculovirus | CSB-BP805567MO | Complex proteins, eukaryotic modifications | Functional assays requiring post-translational modifications |
| Mammalian cell | CSB-MP805567MO | Native-like modifications, complex folding | Signaling studies, therapeutic applications |
The biotinylated version is produced using E. coli biotin ligase (BirA), which covalently attaches biotin to the 15 amino acid AviTag peptide with high specificity . This provides a convenient tool for detection, immobilization, and pull-down experiments.
For optimal stability and activity of Recombinant Mouse Agbl2:
Initial handling: Briefly centrifuge the vial prior to opening to bring contents to the bottom
Reconstitution: Use deionized sterile water to reconstitute the lyophilized powder to a concentration of 0.1-1.0 mg/mL
Long-term storage: Add 5-50% glycerol (final concentration) and aliquot for storage at -20°C/-80°C
Quality control: Verify protein purity (>85% by SDS-PAGE) before experimental use
Following these procedures minimizes freeze-thaw cycles and prevents protein degradation, ensuring consistent experimental results. The addition of glycerol prevents ice crystal formation during freezing, which can denature proteins.
Agbl2 has been identified as a critical oncogenic factor in hepatocellular carcinoma (HCC), with multiple mechanisms contributing to cancer progression:
Overexpression pattern: AGBL2 is frequently overexpressed in HCC tissues and cell lines compared to normal tissues
Clinical correlations: High expression of AGBL2 positively associates with:
Cellular mechanisms:
These findings suggest that AGBL2 functions through dual pathways: modulating autophagy to prevent cell death and activating Aurora A-dependent cell cycle progression. The correlation between AGBL2 expression and clinical features makes it a potential biomarker for prognosis and therapeutic targeting in HCC.
To effectively measure and characterize Agbl2's deglutamylation activity, researchers should consider the following methodological approaches:
Substrate preparation:
Purified tubulin with polyglutamylated C-terminal tails
Synthetic peptides containing polyglutamate chains
Fluorescently labeled substrates for real-time activity monitoring
Activity assays:
Mass spectrometry to detect changes in substrate mass after deglutamylation
HPLC analysis of released glutamate residues
Antibody-based detection using glutamylation-specific antibodies (Western blot)
Fluorescence polarization assays with labeled substrates
Controls and validations:
Use of catalytically inactive Agbl2 mutants (negative control)
Comparative analysis with other AGBL family members
Inhibitor studies (competitive and non-competitive)
Kinetic parameter determination (Km, Vmax, kcat)
In-cell verification:
Immunofluorescence microscopy to visualize tubulin modification status
Co-immunoprecipitation to capture enzyme-substrate complexes
Live-cell imaging with fluorescent tubulin to monitor dynamics
These approaches provide complementary data on Agbl2's catalytic mechanism, substrate specificity, and cellular function, enabling comprehensive characterization of this enzyme's activity in both purified systems and cellular contexts.
The co-expression patterns of RARRES1 (a carboxypeptidase inhibitor) and AGBL2 (its substrate carboxypeptidase) define distinct prognostic groups in renal cell carcinoma (RCC):
| RARRES1 Expression | AGBL2 Expression | Risk of Tumor Progression | Relative Risk | P-value |
|---|---|---|---|---|
| Membranous | Positive | Low risk | Reference | - |
| Membranous | Negative | Low risk | Low | NS |
| Cytoplasmic/Negative | Positive | High risk | 11-15x higher | <0.001 |
| Cytoplasmic/Negative | Negative | High risk | 11-15x higher | <0.001 |
Multivariate analysis confirmed that the combination of RARRES1 cytoplasmic/negative and AGBL2 positive/negative immunostaining is a significant independent risk factor for tumor progression, indicating 11–15 times higher risk of cancer relapse compared to membranous RARRES1 expression .
These expression patterns significantly correlated with tumor size, grade, necrosis, T stadium, and stage (p < 0.001). The vast majority of AGBL2-positive cases occurred in tumors with RARRES1 membrane positivity. Of 454 conventional RCC with membranous RARRES1 expression, 110 tumors showed AGBL2-positive staining as well .
This co-expression pattern analysis provides a powerful prognostic tool for identifying patients who may benefit from more intensive surveillance and adjuvant therapy following surgery.
Beyond its canonical role in tubulin deglutamylation, Agbl2 engages in multiple signaling pathways:
Autophagy regulation:
Aurora A kinase pathway:
Potential developmental pathways:
These non-canonical functions expand our understanding of Agbl2 as a multifunctional protein beyond cytoskeletal regulation. Research is ongoing to determine whether the AGBL2 genetic variant is causative for the developmental phenotypes observed in the clinical case.
When designing in vivo experiments to study Agbl2's role in tumor growth:
Model selection:
Xenograft models using cell lines with Agbl2 overexpression or knockdown
Orthotopic implantation for organ-specific microenvironment effects
Patient-derived xenografts for clinical relevance
Genetically engineered mouse models with conditional Agbl2 expression
Experimental controls:
Use of catalytically inactive Agbl2 mutants to distinguish enzymatic from scaffolding functions
Rescue experiments with wild-type Agbl2 in knockdown models
Paired analysis of primary tumors and metastatic lesions
Assessment parameters:
Tumor volume measurements (caliper and imaging)
Survival analysis
Metastasis evaluation (histology, molecular markers)
Immunohistochemistry for proliferation (Ki-67), apoptosis (cleaved caspase-3), and autophagy markers (LC3, p62)
Analysis of tubulin modification status in tumor tissues
Mechanistic investigations:
Ex vivo analysis of signaling pathway activation (Aurora A, TPX2)
Autophagy flux assessment in freshly isolated tumor cells
Pharmacological intervention studies targeting Agbl2-dependent pathways
Analysis of tumor microenvironment interactions
Therapeutic implications:
Testing potential Agbl2 inhibitors in established tumors
Combination therapy approaches (with autophagy inhibitors, Aurora kinase inhibitors)
Assessment of resistance mechanisms
These design considerations ensure robust evaluation of Agbl2's contributions to tumor growth while providing mechanistic insights that may guide therapeutic development.
To validate recombinant Agbl2 before experimental use:
Purity assessment:
SDS-PAGE analysis (expect >85% purity)
Western blot with specific anti-Agbl2 antibodies
Mass spectrometry for precise molecular weight confirmation
Activity verification:
In vitro deglutamylation assay using polyglutamylated peptides
Comparison with established activity standards
Dose-dependent activity measurements
Functional validation:
Complementation of Agbl2-depleted cell extracts
Rescue experiments in Agbl2 knockdown cells
Co-immunoprecipitation with known binding partners
Troubleshooting inactive protein:
Check protein folding (circular dichroism spectroscopy)
Verify absence of aggregation (dynamic light scattering)
Test different buffer conditions for optimal activity
Evaluate potential inhibitors in the preparation
Systematic validation ensures experimental reproducibility and prevents misleading results from working with inactive or non-specific protein preparations.
To effectively study Agbl2's influence on autophagy:
Autophagy flux measurement:
LC3-I to LC3-II conversion with and without lysosomal inhibitors
p62/SQSTM1 degradation kinetics
Tandem fluorescent-tagged LC3 (mRFP-GFP-LC3) to distinguish autophagosomes from autolysosomes
Long-lived protein degradation assays
IRGM-Agbl2 interaction analysis:
Co-immunoprecipitation with appropriate controls
Proximity ligation assay for in situ interaction detection
FRET/BRET for dynamic interaction studies
Domain mapping to identify critical interaction regions
Experimental manipulation approaches:
Genetic approaches: Agbl2 overexpression, knockdown/knockout
Pharmacological: Autophagy inducers (rapamycin, starvation) and inhibitors (chloroquine, bafilomycin A1)
Stress conditions: Nutrient deprivation, hypoxia, oxidative stress
Readouts for functional consequences:
Cell survival assays following stress conditions
Apoptosis measurement (Annexin V/PI staining, caspase activation)
Cell cycle analysis to correlate with proliferation effects
Morphological assessment of autophagosome formation (electron microscopy)
Since Agbl2 enhances IRGM-regulated autophagy to inhibit apoptosis in HCC cells , these approaches will help elucidate the mechanistic details of this relationship and identify potential intervention points for therapeutic development.
Based on the oncogenic roles of Agbl2, several therapeutic development approaches show promise:
Direct enzyme inhibition strategies:
Small molecule inhibitors targeting the catalytic domain
Peptide-based competitive inhibitors mimicking substrate recognition sites
Allosteric modulators affecting enzyme conformation
Structure-based drug design utilizing crystallographic data
Pathway intervention approaches:
Dual targeting of Agbl2 and Aurora A signaling
Combination with autophagy inhibitors to enhance apoptosis sensitivity
IRGM-Agbl2 interaction disruptors
TPX2 expression modulators
Translational considerations:
Biomarker development for patient stratification
Rational drug combinations based on expression patterns
Predictive models for treatment response
Resistance mechanism anticipation
Delivery innovations:
Cancer-specific targeting strategies
Nucleic acid-based therapeutics (siRNA, antisense oligonucleotides)
Antibody-drug conjugates recognizing tumor cells with high Agbl2 expression
The strong association between Agbl2 overexpression and poor prognosis in HCC , along with its role in RCC progression when co-expressed with certain RARRES1 patterns , supports its validity as a therapeutic target. The dual role in autophagy modulation and Aurora A activation provides multiple intervention points that could be exploited for comprehensive pathway inhibition.
The identification of an AGBL2 genetic variant in a patient with neurological symptoms opens new research directions:
Genotype-phenotype correlations:
Systematic assessment of AGBL2 variants in patients with:
Seizure disorders (particularly infantile spasms)
Global developmental delay
Brain structural abnormalities
Cardiac developmental issues
Neurobiological mechanisms:
Role of tubulin post-translational modifications in:
Neuronal migration and differentiation
Axon guidance and synaptogenesis
Microtubule dynamics during brain development
Excitatory/inhibitory balance in neural circuits
Model systems for investigation:
Patient-derived iPSCs differentiated into neurons
Agbl2 knockout/knockin mouse models
CRISPR-engineered variants in zebrafish
Brain organoids to study 3D developmental processes
Translational implications:
Early molecular diagnosis
Development of precision therapies targeting affected pathways
Potential biomarkers for treatment response
Prevention strategies for high-risk pregnancies
The Undiagnosed Diseases Network's ongoing research into this maternally inherited heterozygous change in AGBL2 may reveal new functions for this enzyme in neurodevelopment, distinct from its better-characterized roles in cancer progression.