The recombinant dog induced myeloid leukemia cell differentiation protein Mcl-1 homolog, commonly referred to as MCL1, is a protein derived from the canine version of the MCL1 gene. This protein is part of the Bcl-2 family, known for its role in regulating apoptosis, or programmed cell death. The recombinant form of this protein is engineered to include an N-terminal His-tag, facilitating purification and identification in research settings.
Species: Dog
Expression System: E. coli
Tag: N-terminal His-tag
Protein Length: Full length (1-350 amino acids) or partial (2-327 amino acids)
Purity: Greater than 90% as determined by SDS-PAGE
MCL1 plays a crucial role in cell survival by inhibiting apoptosis. It binds to pro-apoptotic proteins like BAK and BAX, preventing their activation and subsequent mitochondrial outer membrane permeabilization, which is a key step in the apoptotic process . The protein also has roles in mitochondrial function, DNA repair, and cell cycle regulation .
Apoptosis Inhibition: Binds to pro-apoptotic proteins to prevent apoptosis.
Mitochondrial Function: Involved in mitochondrial fragmentation and metabolic activities.
DNA Repair: Participates in DNA double-strand break repair.
Cell Cycle Regulation: Influences cell cycle progression.
Recombinant MCL1 proteins are used in research to study cell survival mechanisms, apoptosis regulation, and potential therapeutic targets for diseases like cancer. MCL1 inhibitors are being explored for their potential in treating cancers by disrupting anti-apoptotic pathways .
Cancer Therapy: MCL1 inhibitors are being tested for their ability to enhance chemotherapy efficacy by promoting apoptosis in cancer cells .
Metabolic Regulation: MCL1 has been found to regulate cell metabolism, including glycolysis and the pentose phosphate pathway, which is crucial for cancer cell survival .
Constructs: Available as full-length or partial constructs.
Formulation: Typically provided in aqueous buffer solutions with glycerol for stability.
UniGene: Cfa.34
MCL1 is an anti-apoptotic protein belonging to the BCL2 family that plays a crucial role in regulating programmed cell death. In canine cells, as in human cells, MCL1 primarily functions to inhibit apoptosis through interactions with pro-apoptotic proteins BAX and BAK . These interactions prevent the formation of pores in the mitochondrial membrane, thus inhibiting cytochrome c release and subsequent activation of caspases. The protein is expressed in various tissues and is essential for maintaining cellular homeostasis, particularly in rapidly dividing cell populations. Dog MCL1 shares high sequence homology with human MCL1, making canines valuable models for translational research .
Canine MCL1 protein is highly homologous to human MCL1, which makes it particularly valuable for translational research . The high degree of homology is observed in the carboxy-terminal region that contains the BH domains responsible for interactions with other BCL2 family members. This structural similarity translates to functional conservation, with both human and canine MCL1 demonstrating similar anti-apoptotic activities and binding affinities for pro-apoptotic partners. The conservation extends to regulatory mechanisms, including post-translational modifications and turnover rates. This significant homology makes dogs an established model for studying diseases where MCL1 plays a role, such as osteosarcoma, and for testing therapeutic strategies targeting MCL1 before human clinical trials .
Methodological approach:
For high-yield production: Baculovirus-infected insect cells (Sf9 or Hi5) provide good yields with proper folding
For maintaining post-translational modifications: Mammalian expression systems (HEK293 or CHO cells) with appropriate tags (His, GST, or FLAG) for purification
Optimization of expression conditions: Lower temperature cultivation (16-18°C) improves proper folding
Purification strategy: Two-step chromatography (affinity followed by gel filtration) to achieve >95% purity
This methodological framework ensures production of recombinant canine MCL1 that retains structural integrity and functional properties for downstream applications.
Evaluating binding interactions between canine MCL1 and its partner proteins requires multiple complementary approaches to generate robust data.
Methodological workflow:
Fluorescence Polarization (FP) Assays: Using fluorescently labeled BH3 peptides to determine binding affinities (Kd values) with recombinant MCL1
Surface Plasmon Resonance (SPR): For real-time binding kinetics analysis and determination of kon/koff rates
Isothermal Titration Calorimetry (ITC): To obtain thermodynamic parameters (ΔH, ΔS, ΔG) of the binding interactions
Co-immunoprecipitation experiments: With full-length proteins to validate interactions in a cellular context
Data from these complementary approaches should be integrated to develop a comprehensive model of canine MCL1 interaction patterns. This multi-method approach helps overcome limitations of individual techniques and provides more reliable binding parameters for structure-based drug design targeting canine MCL1.
Research findings indicate:
Elevated MCL1 expression correlates with metastatic potential in canine osteosarcoma models
MAPK pathway activity directly influences MCL1 expression levels in tumor cells
Canine osteosarcoma cells show higher dependence on MCL1 for survival compared to normal cells
Growth factors in the tumor microenvironment drive increased MCL1 expression in metastatic lesions through ERK phosphorylation
The differential expression makes MCL1 a potential therapeutic target in canine cancer models. Importantly, studies show that both early and established metastatic lesions in canine osteosarcoma models remain dependent on MCL1, suggesting it could be targeted throughout disease progression .
Strong evidence supports MCL1 as a promising therapeutic target in canine cancer models, particularly in osteosarcoma. Research data demonstrate that targeting MCL1 in osteosarcoma shows considerable therapeutic potential that may translate to clinical applications for both canine and human patients .
Key research findings include:
Niche-derived growth factors drive MAPK activity and MCL1 expression in osteosarcoma, promoting metastatic colonization
Both early and established metastases remain dependent on MCL1 for survival, making it a viable target throughout disease progression
MCL1 inhibition using BH3 mimetics (such as AZD5991) demonstrated efficacy in murine models of metastatic osteosarcoma
Combining MCL1 inhibition with conventional chemotherapy (cyclophosphamide) significantly improved efficacy, reducing and sometimes eliminating detectable metastatic disease
The translational potential is particularly strong because canine MCL1 is highly homologous to human MCL1, making dogs an excellent model for testing therapeutic strategies before human clinical trials .
MCL1 protein has a notably short half-life (typically 2-4 hours) compared to other BCL2 family members, making its regulation at the protein stability level particularly important. In canine cells, several mechanisms govern MCL1 stability that can be experimentally manipulated for research purposes.
Regulatory mechanisms and experimental approaches:
Ubiquitin-Proteasome System (UPS)
Key E3 ligases: MULE, SCFFbw7, and APC/CCdc20
Experimental manipulation: Proteasome inhibitors (MG132, bortezomib) can be used to stabilize MCL1 protein levels
Measurement: Cycloheximide chase assays to determine protein half-life alterations
Phosphorylation Events
Deubiquitinating Enzymes (DUBs)
USP9X and USP13 remove ubiquitin chains and stabilize MCL1
Experimental approach: siRNA knockdown or small molecule inhibitors of these DUBs
Analysis method: Western blotting with ubiquitin antibodies to assess polyubiquitination levels
Growth Factor Signaling
Understanding these regulatory mechanisms provides potential avenues for therapeutic intervention, particularly in canine cancer models where MCL1 dependency has been established.
Despite the high homology between canine and human MCL1, subtle structural differences exist that can affect BH3 mimetic binding profiles. These differences must be considered when developing or selecting compounds for research in canine models.
Comparative analysis reveals:
Binding Pocket Architecture
While the hydrophobic BH3-binding groove shows high conservation, specific amino acid substitutions in canine MCL1 can affect binding affinities
Experimental approach: Hydrogen-deuterium exchange mass spectrometry (HDX-MS) to map conformational differences in binding pockets
Selectivity Profiles
Species-Specific Resistance Mechanisms
Mutations that confer resistance to BH3 mimetics in human MCL1 may have different effects in canine MCL1
Experimental approach: Site-directed mutagenesis of key binding residues followed by functional assays
Optimizing for Canine Models
Structure-guided modifications to existing BH3 mimetics can improve targeting of canine MCL1
Methodology: Molecular dynamics simulations to predict binding mode differences followed by medicinal chemistry optimization
This comparative understanding is essential for translational studies using canine models to evaluate MCL1 inhibitors before human trials, ensuring that observed effects accurately reflect the intended pharmacological mechanism.
Canine models offer unique advantages in translational cancer research involving MCL1, serving as an important bridge between laboratory models and human clinical applications.
Key significance factors include:
Spontaneous Tumor Development
Biological and Environmental Relevance
Dogs share environmental exposures with humans
Canine tumors develop against a background of natural genetic diversity
Methodology: Multi-omic profiling of canine tumor samples to identify MCL1-dependent subtypes
Therapeutic Predictivity
Disease Progression Timeline
The integration of canine MCL1 studies into the translational research pipeline significantly enhances predictivity of human outcomes and accelerates therapeutic development targeting this important apoptotic regulator.
Intestinal epithelial-specific MCL1 deficiency reveals important comparative insights between canine and murine models. While most detailed studies have been conducted in murine models, comparative data provide valuable translational insights.
Key comparative findings:
Pathological Outcomes
Mouse models: MCL1 deficiency in intestinal epithelial cells (IECs) leads to apoptotic enterocolopathy, barrier dysfunction, and spontaneous tumor development
Canine comparative data: Similar pathological features but with potential differences in progression timeline
Analysis approach: Histopathological comparisons using standardized scoring systems
Inflammatory Responses
Mouse models: Mcl1ΔIEC mice develop chronic inflammation with elevated proinflammatory cytokines (TNF-α, IL-22, IL-23A, IL-17A, IL-17F, IL-1β)
Canine comparative aspects: Species-specific differences in cytokine profiles with potentially distinct immune cell infiltration patterns
Methodology: Multiplex cytokine assays comparing both models under similar conditions
Microbiota Interactions
Mouse models: Germ-free Mcl1ΔIEC mice show reduced inflammation but retain increased epithelial apoptosis and hyperproliferation
Canine comparative insights: Different microbiome compositions may influence inflammation severity
Analytical approach: 16S rRNA sequencing of intestinal microbiota in both models
Tumor Development Timelines
These comparative insights enhance the translational value of MCL1 research across species and strengthen the rationale for targeting MCL1 in both veterinary and human clinical applications.
Accurately measuring MCL1-dependent apoptosis in canine cell lines requires a multi-parameter approach to capture the complex nature of programmed cell death pathways.
Recommended methodological workflow:
Caspase Activation Assays
Fluorogenic substrates for caspase-3/7 provide quantitative measurement of executioner caspase activity
Comparison with pan-caspase inhibitors (e.g., z-VAD-fmk) confirms apoptotic mechanism
Time-course analysis captures kinetics of apoptosis following MCL1 inhibition
Mitochondrial Outer Membrane Permeabilization (MOMP) Measurement
JC-1 dye for monitoring mitochondrial membrane potential changes
Cytochrome c release assays using cellular fractionation and immunoblotting
Live-cell imaging with fluorescent reporters to track MOMP in real-time
Annexin V/Propidium Iodide Flow Cytometry
Distinguishes early apoptotic (Annexin V+/PI-) from late apoptotic (Annexin V+/PI+) and necrotic cells
Time-course analysis following MCL1 inhibition or knockdown
Particularly valuable for heterogeneous responses in primary canine samples
BH3 Profiling
Determines dependence on specific anti-apoptotic proteins including MCL1
Mitochondrial assays using BH3 peptides to determine threshold for apoptosis induction
Comparative analysis with BCL2 and BCL-XL dependence
Genetic Approaches
CRISPR-Cas9 knockout of MCL1 compared with pharmacological inhibition
Rescue experiments with overexpression of mutant MCL1 variants
siRNA approaches for acute MCL1 depletion studies
Integration of multiple readouts provides comprehensive assessment of MCL1 dependency patterns in canine cell lines and enables more accurate comparison with human counterparts.
Rigorous experimental design with appropriate controls is essential when evaluating MCL1 inhibitors in canine cancer models to ensure valid and translatable results.
Essential controls framework:
Target Engagement Validation
CETSA (Cellular Thermal Shift Assay) to confirm inhibitor binding to canine MCL1
Competitive binding assays with labeled BH3 peptides
Pull-down assays to demonstrate disruption of MCL1-BH3 protein interactions
These controls confirm that observed effects are due to on-target activity
Selectivity Controls
Parallel testing against BCL2 and BCL-XL to confirm selectivity
Use of inhibitors with known selectivity profiles (e.g., venetoclax for BCL2, AMG 176 for MCL1)
Testing in cell lines with differential dependency on MCL1 versus other anti-apoptotic proteins
These controls establish the specificity of observed effects
Genetic Validation Controls
MCL1 knockdown/knockout as positive controls
MCL1 overexpression to rescue inhibitor effects
BH3-mimetic resistant MCL1 mutants to confirm mechanism of action
These controls establish causality between MCL1 inhibition and observed phenotypes
Pharmacokinetic/Pharmacodynamic Controls
Time-course and dose-response studies to establish relationship between drug exposure and effect
Measurement of MCL1 inhibitor levels in relevant tissues
Biomarker assessment (e.g., cleaved caspase-3 levels) to confirm mechanism
These controls ensure that dosing regimens achieve therapeutically relevant exposures
Combination Therapy Controls
Implementation of this comprehensive control framework ensures robust and reproducible data when evaluating MCL1 inhibitors in canine cancer models.
Research has revealed nuanced differences in how early versus established metastases respond to MCL1 inhibition in canine osteosarcoma models, with important implications for therapeutic targeting strategies.
Comparative response patterns:
MCL1 Expression Levels
Growth Factor Dependency
Therapeutic Vulnerability
Both early and established metastases demonstrate vulnerability to MCL1 inhibition, but through potentially different mechanisms
Early metastases: Directly dependent on high MCL1 levels
Established metastases: Remain dependent despite lower expression
Methodology: Dose-response studies comparing BH3 mimetic efficacy across disease stages
Combination Therapy Efficacy
These differential response patterns highlight the potential for stage-specific therapeutic strategies targeting MCL1 in canine osteosarcoma, with implications for translational development of similar approaches in human patients.
Evaluating synergistic interactions between MCL1 inhibitors and conventional chemotherapeutics requires robust experimental approaches that can distinguish true synergy from additive effects in canine cancer models.
Comprehensive evaluation framework:
In Vitro Synergy Assessment
Method: Checkerboard dilution matrices with MCL1 inhibitors and chemotherapeutics
Analysis: Multiple synergy calculation models including:
Combination Index (CI) method of Chou-Talalay
Bliss independence model
Zero Interaction Potency (ZIP) model
Verification: Independent confirmation with different cell death assays (ATP-based viability, caspase activation, annexin V binding)
Mechanistic Basis of Synergy
Approach: Time-course analysis of apoptotic events following single or combination treatment
Investigation of molecular crosstalk between MCL1 inhibition and chemotherapy-induced stress responses
Analysis of BH3-only protein induction by chemotherapy that may enhance MCL1 dependency
Ex Vivo Patient-Derived Sample Testing
Methodology: Treatment of freshly isolated canine patient samples with single agents and combinations
Assessment: Multi-parameter flow cytometry to evaluate cell-type specific responses
Analysis: Patient-specific synergy patterns to identify predictive biomarkers
In Vivo Combination Studies
Translational Biomarkers
Approach: Serial biopsies to assess pharmacodynamic endpoints (apoptosis markers, target modulation)
Development of non-invasive monitoring (circulating tumor DNA, imaging)
Identification of resistance mechanisms through longitudinal molecular profiling
This comprehensive framework enables robust evaluation of synergistic interactions between MCL1 inhibitors and conventional chemotherapeutics, as demonstrated in studies where MCL1 inhibition combined with cyclophosphamide showed enhanced efficacy against osteosarcoma metastases .
Understanding tissue-specific functions of MCL1 in canines provides opportunities to develop targeted therapeutic approaches with improved safety profiles.
Research directions and methodological approaches:
Differential Dependency Mapping
Comparative analysis of MCL1 dependency across normal versus malignant canine tissues
CRISPR-Cas9 screens to identify synthetic lethal interactions specific to cancer cells
Development of tissue-specific vulnerability maps to guide therapeutic window optimization
These approaches can identify cancer-specific dependencies while sparing normal tissues
Structural Biology Insights
Crystal structures of canine MCL1 bound to tissue-specific interacting partners
Identification of cancer-specific binding pocket conformations
Structure-guided design of inhibitors targeting cancer-specific features
These approaches can enable development of compounds with reduced off-target effects
Regulatory Complex Analysis
Identification of tissue-specific MCL1 regulatory proteins in canine samples
Targeting cancer-specific regulatory interactions rather than MCL1 directly
Exploration of indirect MCL1 modulation through upstream pathways
These strategies may preserve essential MCL1 functions in normal tissues
Therapeutic Delivery Strategies
Development of tumor-targeted delivery systems for MCL1 inhibitors
Exploitation of cancer-specific surface markers for selective delivery
Stimulus-responsive release mechanisms activated in tumor microenvironments
These approaches can enhance tumor specificity while reducing systemic toxicity
Integration of these research directions can inform the development of next-generation MCL1-targeting approaches with improved therapeutic windows, addressing the challenges of toxicity observed with current inhibitors while maintaining efficacy in canine cancer models.
Developing effective combination strategies targeting multiple BCL2 family members requires careful consideration of several factors to maximize efficacy while managing toxicity in canine cancer models.
Critical considerations and methodological approaches:
Dependency Profiling
BH3 profiling to map dependencies on specific anti-apoptotic proteins across canine cancer subtypes
Identification of co-dependencies and compensatory mechanisms
Dynamic assessment of dependency shifts during treatment
Methodological approach: Dynamic BH3 profiling before and after single-agent treatment
Optimal Drug Sequencing
Investigation of sequence-dependent effects (e.g., MCL1 inhibition followed by BCL2 inhibition vs. concurrent treatment)
Time-course studies to identify optimal timing for each combination component
Mechanistic studies of adaptive responses following initial treatment
Research shows promising synergy between MCL1 inhibitors and BCL2 inhibitors like venetoclax in multiple cancer types
Toxicity Management Strategies
Identification of tissue-specific toxicity mechanisms for each combination component
Development of intermittent dosing schedules to allow recovery of normal tissues
Exploration of tissue-protective agents that selectively protect normal cells
Canine studies show manageable toxicity profiles can be achieved with careful dosing approaches
Biomarker Development
Identification of predictive biomarkers for combination response
Development of early pharmacodynamic markers of on-target activity
Serial monitoring approaches to detect resistance emergence
Molecular imaging strategies to assess in vivo target engagement
Rational Triple Therapy Design
Integration of BCL2 family inhibitors with conventional chemotherapy
Identification of synergistic conventional agents (e.g., cyclophosphamide shows synergy with MCL1 inhibition)
Development of triple combination regimens with non-overlapping toxicity profiles
Careful dose-finding studies to establish maximum tolerated combinations
Implementation of these considerations has shown promise in preclinical studies, where the combination of MCL1 inhibitors with other targeted agents demonstrated synergistic activity in hematologic cancer models at tolerated doses .