Recombinant AMFR is pivotal for dissecting ERAD mechanisms. It interacts with:
VCP/p97: Facilitates extraction of ubiquitinated substrates from the ER membrane .
UBE2G2: E2 conjugating enzyme required for ubiquitin transfer .
Cancer: AMFR promotes tumor metastasis by enhancing cell motility .
Neurodegeneration: Clears aggregates of mutant huntingtin and SOD1 in ALS models .
Asthma: Drives GM-CSF production in alveolar macrophages, exacerbating inflammation .
Autoubiquitination: AMFR undergoes self-ubiquitination via UBE2G2, modulating its stability .
Complex Formation: Forms clusters with FAM134B and LC3B during ER-phagy, enhancing membrane curvature induction .
Cancer Therapy: Inhibiting AMFR reduces metastasis in murine models .
Neuroprotection: Overexpression mitigates proteotoxicity in Parkinson’s and Huntington’s disease models .
Structural Dynamics: Further crystallography studies are needed to resolve full-length AMFR structure .
Ligand Interactions: The role of AMFR’s N-terminal domain in substrate recognition remains unclear .
Therapeutic Targeting: Developing small-molecule inhibitors of AMFR’s RING domain could treat cancer and neurodegeneration .
Mouse E3 ubiquitin-protein ligase AMFR (also known as gp78) is a membrane-bound ubiquitin ligase that plays a crucial role in endoplasmic reticulum-associated degradation (ERAD) pathways. Structurally, it contains multiple domains including a transmembrane domain, a RING finger domain essential for its ligase activity, and CUE and VIM domains that facilitate protein-protein interactions. The protein functions by catalyzing the transfer of ubiquitin to substrate proteins, thereby targeting them for proteasomal degradation. This mechanism is fundamental to protein quality control and homeostasis within cells, particularly for misfolded or damaged proteins in the endoplasmic reticulum.
Similar to human AMFR, mouse AMFR contains a full-length sequence of approximately 643 amino acids, though there may be species-specific variations in exact length and sequence . The protein is typically expressed with tags (such as His-tag) to facilitate purification and detection in experimental settings.
While mouse and human AMFR share significant homology, there are notable differences in amino acid sequence that may affect specific protein-protein interactions or substrate recognition patterns. Both proteins maintain the core functional domains including the RING finger domain critical for E3 ligase activity, but researchers should be aware that experimental findings from one species may not translate perfectly to the other.
When comparing functional studies, human AMFR (as seen in product specifications) typically contains 643 amino acids in its full-length form , and the mouse ortholog has a highly conserved structure. Functional conservation between species makes mouse AMFR a valuable model for studying ubiquitination pathways relevant to human health and disease.
For recombinant mouse AMFR expression, E. coli systems are commonly employed for producing the full-length protein or specific domains. Based on protocols for similar proteins, expression in E. coli with an N-terminal His-tag facilitates efficient purification using affinity chromatography . When expressing the full transmembrane protein, consider the following methodology:
Clone the mouse AMFR cDNA into an expression vector with an N-terminal His-tag
Transform into an E. coli strain optimized for recombinant protein expression (e.g., BL21(DE3))
Induce expression with IPTG at lower temperatures (16-18°C) to enhance proper folding
Lyse cells and purify using Ni-NTA affinity chromatography
Further purify using size exclusion chromatography if higher purity is required
For membrane-bound portions of the protein, mammalian or insect cell expression systems may provide better folding and post-translational modifications than bacterial systems.
Based on protocols for similar recombinant proteins, the following storage and reconstitution guidelines are recommended:
| Parameter | Recommendation |
|---|---|
| Storage Form | Lyophilized powder |
| Storage Temperature | -20°C to -80°C |
| Reconstitution | In sterile PBS to 0.1-1.0 mg/mL |
| Long-term Storage | Add glycerol (final concentration 5-50%, with 50% being optimal) and store in aliquots at -20°C to -80°C |
| Working Storage | 4°C for up to one week |
| Avoid | Repeated freeze-thaw cycles |
Proper reconstitution typically involves briefly centrifuging the vial before opening to ensure all material is at the bottom, then adding the appropriate buffer volume . For functional studies, consider adding protease inhibitors to prevent degradation, particularly if the preparation will be used for enzymatic assays.
Several robust methodologies can be employed to assess the ubiquitin ligase activity of recombinant mouse AMFR:
In vitro ubiquitination assay: Combine purified recombinant AMFR with E1 (ubiquitin-activating enzyme), E2 (ubiquitin-conjugating enzyme), ubiquitin, ATP, and substrate protein. Analyze ubiquitinated products via western blot.
FRET-based activity assays: Utilize fluorescently labeled ubiquitin to monitor transfer reactions in real-time.
Substrate degradation assays: Measure the rate of degradation of known AMFR substrates in the presence of the recombinant protein.
A typical reaction mixture contains:
50-100 ng purified recombinant AMFR
100-200 ng E1 enzyme
500 ng-1 μg appropriate E2 enzyme (usually UBC7/UBE2G2)
5-10 μg ubiquitin
2-5 mM ATP
50-100 ng substrate protein
Buffer containing 25 mM Tris-HCl (pH 7.5), 50 mM NaCl, 5 mM MgCl₂, 0.1 mM DTT
Incubate the reaction at 30°C for 1-2 hours and analyze by SDS-PAGE followed by western blotting using antibodies against the substrate protein or ubiquitin.
Recombinant mouse AMFR serves as an excellent tool for investigating ERAD mechanisms through several experimental approaches:
Substrate identification studies: Using recombinant AMFR in pull-down assays coupled with mass spectrometry to identify novel substrates targeted for degradation.
Reconstituted ERAD systems: Creating in vitro systems combining recombinant AMFR with other ERAD components (Derlin-1, p97/VCP, UBE2G2) to study the sequential steps of substrate recognition, ubiquitination, and extraction from the ER membrane.
Structure-function analysis: Engineering domain-specific mutations in recombinant AMFR to dissect the roles of individual domains in substrate recognition and processing.
Comparative pathway analysis: Using mouse AMFR alongside other E3 ligases involved in ERAD (HRD1, RNF5) to determine pathway specificity and redundancy for different substrates.
When designing these experiments, researchers should consider using appropriate controls including catalytically inactive AMFR mutants (RING domain mutations) to distinguish between specific and non-specific interactions.
Studying membrane-bound and soluble domains of mouse AMFR requires different experimental strategies:
For membrane-bound full-length AMFR:
Expression in mammalian or insect cell systems that better support membrane protein folding
Detergent-based extraction methods using mild detergents (DDM, CHAPS, or digitonin)
Reconstitution into artificial membrane systems (liposomes or nanodiscs) for functional studies
Microscopy-based localization studies to confirm proper membrane insertion
For soluble domains (e.g., the cytosolic RING finger domain):
Bacterial expression systems (E. coli) can provide high yields
Standard affinity chromatography purification without detergents
Crystal structure determination or NMR studies become feasible
Solution-based biochemical assays for activity assessment
The choice between studying the full-length protein versus isolated domains depends on the specific research question. While isolated domains may provide mechanistic insights into specific functions, the full-length protein is necessary to understand how membrane association influences activity and interactions with substrates and cofactors.
Researchers frequently encounter several challenges when working with recombinant mouse AMFR:
Poor solubility and aggregation:
Solution: Express at lower temperatures (16-18°C)
Add solubility enhancers like 0.1% Triton X-100 or low concentrations of urea (1-2 M)
Consider fusion partners like MBP or SUMO that enhance solubility
Low expression levels:
Optimize codon usage for the expression system
Screen multiple E. coli strains (BL21(DE3), Rosetta, Arctic Express)
Test different induction conditions (IPTG concentration, temperature, duration)
Protein degradation:
Add protease inhibitors during all purification steps
Work at 4°C throughout the purification process
Consider auto-ubiquitination of AMFR during storage; add deubiquitinating enzymes if necessary
Loss of activity after purification:
For membrane-associated regions, extraction efficiency can be improved by screening different detergents (DDM, CHAPS, NP-40) at various concentrations to identify optimal solubilization conditions while maintaining native protein conformation.
Comprehensive validation of recombinant mouse AMFR should include:
Structural validation:
SDS-PAGE and western blot to confirm molecular weight and purity (>90% purity is ideal)
Circular dichroism (CD) spectroscopy to assess secondary structure content
Limited proteolysis to verify proper folding (correctly folded proteins show resistance to proteolytic digestion at low protease concentrations)
Dynamic light scattering to detect aggregation
Functional validation:
In vitro ubiquitination assays using known substrates
Auto-ubiquitination assays (AMFR can ubiquitinate itself in the presence of E1, E2, and ubiquitin)
Binding assays with known interaction partners (p97/VCP, Derlin-1)
ATPase activity assays if studying the p97-AMFR complex
Activity controls:
Include a catalytically inactive mutant (mutations in the RING domain) as a negative control
Compare activity to commercially available standards when possible
Establish dose-dependency of enzymatic activity
For quantitative assessment of purity, techniques such as high-performance liquid chromatography (HPLC) or capillary electrophoresis can supplement visual assessment by SDS-PAGE.
Mouse AMFR plays a significant role in lipid metabolism through the regulation of key enzymes like HMG-CoA reductase and Insig-1. Researchers can design the following experiments using recombinant AMFR:
Reconstituted ubiquitination assays: Using purified recombinant AMFR to ubiquitinate lipid metabolism enzymes in vitro, researchers can analyze:
Ubiquitination patterns (K48 vs. K63 linkages)
Rate of ubiquitination under varying sterol conditions
Requirements for additional cofactors
Sterol-dependent interaction studies:
Surface plasmon resonance (SPR) or microscale thermophoresis (MST) to measure binding kinetics between AMFR and Insig-1 under different sterol concentrations
Pull-down assays using recombinant AMFR to isolate interacting partners from cellular extracts with or without sterols
Structure-function analyses:
Create domain-specific mutations to map regions required for sterol-dependent substrate recognition
Identify critical residues involved in the AMFR-Insig-1 interaction
When designing these experiments, include appropriate controls such as sterol-insensitive mutants and compare results with other E3 ligases to establish specificity of AMFR in lipid metabolism regulation.
Recombinant mouse AMFR can be utilized in cancer research through several methodological approaches:
Substrate profiling in cancer cells:
Perform comparative ubiquitinome analysis in normal versus cancer cells with AMFR overexpression or knockdown
Use recombinant AMFR in pull-down assays followed by mass spectrometry to identify cancer-specific substrates
Functional rescue experiments:
Complement AMFR-knockout cancer cell lines with wild-type or mutant recombinant AMFR
Assess effects on proliferation, migration, and resistance to ER stress-inducing chemotherapeutics
Drug discovery applications:
Develop high-throughput screening assays using recombinant AMFR to identify small molecule inhibitors
Structure-based drug design targeting AMFR-substrate interactions
Biomarker development:
Use recombinant AMFR to generate and validate antibodies for immunohistochemistry
Develop activity-based probes to assess AMFR function in tumor samples
When conducting these studies, researchers should control for the effects of tags (His, GST) on protein function and consider using tag-removal systems when necessary for in vivo applications.
When faced with discrepancies between in vitro studies using recombinant AMFR and cellular experiments, consider the following analytical approach:
Evaluate experimental conditions:
In vitro systems may lack critical cofactors present in cells
Recombinant protein may have structural differences from cellular AMFR due to post-translational modifications or membrane environment
Buffer conditions (pH, salt concentration) may not reflect cellular environment
Consider protein interactions:
AMFR functions in multi-protein complexes that may not be fully reconstituted in vitro
Interactions with p97/VCP, Derlin-1, or other ERAD components may be necessary for physiological function
Examine substrate specificity:
Confirm that the substrate concentration used in vitro reflects physiological levels
Validate that substrate is properly folded/unfolded to match its state in cells
Reconciliation strategies:
Design hybrid experiments (cell extracts with recombinant protein additions)
Create semi-permeabilized cell systems that allow introduction of recombinant proteins
Use structure-function studies to identify specific domains responsible for discrepancies
For rigorous analysis of mouse AMFR enzymatic activity, researchers should employ these statistical approaches:
Michaelis-Menten kinetics analysis:
Determine Km and Vmax using non-linear regression of initial velocity data
Calculate catalytic efficiency (kcat/Km) to compare wild-type and mutant AMFR
Use Lineweaver-Burk or Eadie-Hofstee plots as secondary confirmation
Progress curve analysis:
Fit complete reaction progress curves to integrated rate equations
Account for product inhibition and substrate depletion
Statistical validation:
Perform experiments in triplicate minimally
Use ANOVA for comparing multiple conditions
Apply appropriate post-hoc tests (Tukey, Bonferroni) for multiple comparisons
Report confidence intervals rather than just p-values
Controls and normalizations:
Include internal standards to normalize between experiments
Correct for non-enzymatic background reactions
Validate linear range of detection systems
A typical data presentation should include:
Plots showing raw data points with error bars (standard deviation or standard error)
Fitted curves with 95% confidence intervals
Tables of derived kinetic parameters with associated statistical measures
Comparisons to published values for related E3 ligases when available