Studies in Callithrix jacchus highlight MYC’s involvement in:
Pluripotency Maintenance: MYC collaborates with OCT4, SOX2, and KLF4 to reprogram somatic cells into induced pluripotent stem cells (iPSCs) .
Germ Cell Development: MYC-driven transcriptional networks are essential for generating primordial germ cell-like cells (PGCLCs) from marmoset iPSCs .
| Factor Combination | Reprogramming Efficiency (%) | Reference |
|---|---|---|
| OCT4/SOX2/KLF4/MYC | 0.8–1.2 | |
| OCT4/SOX2/KLF4 (without MYC) | 0.1–0.3 |
| Marker | Expression Level (Fold Change vs. Control) | Significance |
|---|---|---|
| TFAP2C | 12.5× | PGC specification |
| SOX17 | 9.8× | Endodermal lineage priming |
| PDPN | 7.2× | Migratory PGC identity |
While marmoset MYC shares >95% sequence homology with human MYC, functional divergences include:
DNA-Binding Specificity: Marmoset MYC-MAX dimers exhibit slightly altered affinity for non-canonical E-box variants .
Post-Translational Modifications: Phosphorylation at Thr58/Ser62 (critical for degradation) is conserved, but kinetics differ in primate models .
| Condition | Half-Life (Hours) | Notes |
|---|---|---|
| Recombinant MYC (4°C) | 168 | Stable in PBS buffer |
| Freeze-Thaw Cycles (≤3) | No degradation | Lyophilized formulations recommended |
Gene Editing Studies: MYC overexpression enhances CRISPR-Cas9-mediated knock-in efficiency in marmoset fibroblasts .
Oncogenic Modeling: MYC amplification in marmoset hepatic cells recapitulates metabolic dysregulation seen in human hepatocellular carcinoma .
Protein Solubility: MYC’s intrinsically disordered N-terminal domain necessitates fusion tags (e.g., GST, His) for stabilization .
Antibody Cross-Reactivity: Commercial anti-human MYC antibodies show reduced affinity for marmoset MYC, necessitating species-specific validation .
| Vendor | Product Code | Tag | Price (USD) | Validated Applications |
|---|---|---|---|---|
| Active Motif | 31117 | His | $540/5 µg | ChIP, EMSA |
| OriGene | TP301611 | Myc/DDK | $867/20 µg | ELISA, Autoantibody |
| RayBiotech | 230-00580 | His | $91/10 µg | Western blot |
KEGG: cjc:100407754
STRING: 9483.ENSCJAP00000023101
The MYC proto-oncogene in Callithrix jacchus, like its human counterpart, functions as a transcription factor that regulates expression of genes involved in cell proliferation, growth, and apoptosis. Methodologically, comparative analysis between marmoset and human MYC requires sequence alignment tools followed by functional domain mapping. The MYC protein belongs to a family that includes MYCL (L-Myc) and MYCN (N-Myc), with studies showing N-Myc can substitute for c-Myc in murine development . When designing experiments to compare functionality across species, researchers should implement luciferase reporter assays with promoters containing E-box sequences (CACGTG) to assess transcriptional activity differences. Phylogenetic analysis reveals high conservation of functional domains, particularly the basic helix-loop-helix leucine zipper (bHLH-LZ) domain, though regulatory regions show greater variation that may account for species-specific expression patterns.
For optimal recombinant expression of Callithrix jacchus MYC protein, researchers should consider multiple expression systems with methodological modifications specific to this transcription factor:
Bacterial expression system (E. coli): Use BL21(DE3) strains with pET vectors containing a 6xHis tag for purification. Expression should be induced at lower temperatures (16-18°C) with reduced IPTG concentration (0.1-0.5 mM) to minimize inclusion body formation. Lysis buffers should include protease inhibitors and reducing agents to maintain protein stability.
Insect cell expression system: Baculovirus expression systems using Sf9 or High Five cells often yield properly folded MYC protein with post-translational modifications. Optimal MOI (multiplicity of infection) determination requires titration experiments typically ranging from 1-10.
Mammalian expression system: HEK293T cells transfected with vectors containing CMV promoters provide expression conditions closest to physiological for functional studies.
Purification protocols should incorporate affinity chromatography followed by size exclusion chromatography to remove aggregates. Success can be monitored via Western blotting using antibodies against MYC or epitope tags, with expected yields typically between 0.5-2 mg/L of culture depending on the expression system utilized.
Critical controls for validating recombinant Callithrix jacchus MYC activity include:
Positive controls: Human recombinant MYC protein with established activity profiles should be run in parallel to benchmark functional assays.
Negative controls: Expression vectors lacking the MYC gene and purification from cells without MYC expression provide background measurements.
Functional validation: DNA-binding assays using electrophoretic mobility shift assay (EMSA) with E-box DNA sequences must demonstrate specific binding that can be competed with unlabeled probes.
Dimerization controls: Since MYC functions through heterodimerization with MAX protein, co-immunoprecipitation assays with MAX should confirm proper protein-protein interaction capacity .
Activity controls: Transcriptional activation assays using reporter constructs with MYC-responsive elements should show dose-dependent activity.
Mutant variants: MYC proteins with mutations in key functional domains (DNA-binding or MAX-interaction domains) serve as important negative controls.
When designing these control experiments, researchers should account for potential batch-to-batch variations and maintain consistent experimental conditions to ensure reproducibility.
Distinguishing specific from non-specific effects when using recombinant Callithrix jacchus MYC requires rigorous experimental design and appropriate controls:
Dose-response curves: Titrate MYC protein across a wide concentration range (typically 1-1000 nM) to identify concentration-dependent effects that follow saturable binding kinetics, characteristic of specific interactions.
Competition assays: Pre-incubate with increasing concentrations of unlabeled MYC or competing ligands to demonstrate displacement, confirming binding site specificity.
Domain mutants: Compare wild-type MYC with mutant variants lacking specific functional domains to attribute observed effects to particular protein regions.
Knockdown/knockout controls: Perform parallel experiments in cells with CRISPR/Cas9-mediated MYC knockout or siRNA knockdown, then rescue with recombinant protein to verify specificity.
Temporal analysis: Monitor the timing of cellular responses, as specific MYC-mediated transcriptional effects typically follow predictable kinetics.
A particularly effective methodological approach combines ChIP-seq to identify genomic binding sites with RNA-seq to monitor expression changes, creating a correlation matrix between binding strength and transcriptional outcomes. This composite approach can distinguish direct MYC targets from secondary effects with greater confidence than single-method approaches.
When confronted with contradictory data in Callithrix jacchus MYC studies, researchers should implement a systematic analytical framework:
Experimental variable isolation: Methodically examine differences in experimental conditions, including cell types, protein concentrations, buffer compositions, and incubation times that might contribute to divergent results.
Statistical reanalysis: Apply multiple statistical approaches to the same dataset, as different analytical methods may yield varying interpretations based on underlying assumptions .
Blinded replication: Have independent researchers replicate key experiments without knowledge of expected outcomes to minimize confirmation bias effects, as studies show preconceived expectations can significantly influence data interpretation .
Meta-analytical approach: When multiple studies report conflicting results, quantitatively combine data through meta-analysis using random-effects models to account for between-study heterogeneity.
Cross-validation: Implement orthogonal experimental techniques to test the same hypothesis (e.g., if ChIP-seq and reporter assays give conflicting results regarding a MYC target gene, add CRISPR activation/repression studies).
Modeling MYC-chromatin remodeling complex interactions requires multi-modal experimental approaches:
Biochemical reconstitution: Purify recombinant Callithrix jacchus MYC alongside chromatin remodeling complexes (e.g., SWI/SNF, NuRD) to perform in vitro binding assays using techniques such as surface plasmon resonance or microscale thermophoresis to determine binding kinetics (KD, kon, koff).
Proximity labeling: Implement BioID or APEX2 fusion proteins to identify proximal interactors in living cells, capturing transient interactions that may be lost in traditional co-immunoprecipitation assays.
Live-cell imaging: Use FRET-based sensors with fluorescently tagged MYC and chromatin remodelers to visualize interactions in real-time, monitoring spatial and temporal dynamics.
Structural analysis: Apply cryo-EM or X-ray crystallography to determine the three-dimensional structure of MYC-MAX dimers bound to chromatin remodeling complex subunits.
Functional genomics: Combine ChIP-seq for both MYC and chromatin remodelers with ATAC-seq to correlate MYC binding, remodeler recruitment, and chromatin accessibility changes.
Recent research findings suggest MYC recruitment of bromodomain proteins plays a crucial role in activating target genes, with implications for therapeutic intervention . A quantitative model should incorporate data on binding affinities, residence times, and cooperative interactions to predict how MYC orchestrates chromatin remodeling at specific genomic loci.
For studying MYC-MAX interactions from Callithrix jacchus, researchers should optimize several experimental parameters:
Protein Expression and Purification:
Co-expression systems often yield better results than mixing separately purified proteins.
Tags should be placed away from interaction interfaces; C-terminal tags are generally preferable for MYC.
Purification buffers should contain reducing agents (1-5 mM DTT or TCEP) to maintain cysteine residues in reduced state.
Interaction Analysis Methods:
Isothermal Titration Calorimetry (ITC): Optimal for determining thermodynamic parameters (ΔH, ΔS, KD)
Buffer: 20 mM HEPES pH 7.5, 150 mM NaCl, 1 mM TCEP
Temperature: 25°C
Protein concentrations: MYC in cell (10-20 μM), MAX in syringe (100-200 μM)
Microscale Thermophoresis (MST): For samples with limited availability
Fluorescently label one protein (typically MAX) with minimal modification
Titrate unlabeled partner (MYC) across nanomolar to micromolar range
Analytical Size Exclusion Chromatography: To confirm complex formation
Column: Superdex 75 or 200 (depending on complex size)
Flow rate: 0.5 ml/min
Detection: Absorbance at 280 nm and SDS-PAGE analysis of fractions
The MYC-MAX dimerization through the basic helix-loop-helix leucine zipper (bHLH-LZ) domains is essential for binding to E-box DNA elements and subsequent transcriptional regulation . Experimental designs should include controls with known dimerization-disrupting mutations to validate specificity.
To investigate tissue-specific activities of Callithrix jacchus MYC, researchers should implement a multi-faceted approach:
Transgenic Models and Primary Tissue Analysis:
Generate tissue-specific MYC expression systems using Cre-loxP or similar conditional expression systems in appropriate cell lines.
Obtain primary cells from different Callithrix jacchus tissues and analyze endogenous MYC expression patterns via RT-qPCR and Western blotting.
Implement single-cell RNA-seq to identify cell populations with distinctive MYC expression profiles within heterogeneous tissues.
Chromatin Occupancy Analysis:
Perform tissue-specific ChIP-seq experiments to map MYC binding sites across different tissues.
Compare binding profiles to identify:
Core binding sites present across all tissues
Tissue-restricted binding sites that may drive specialized functions
Tissue-Specific Interactome Mapping:
Use Co-IP followed by mass spectrometry to identify tissue-specific MYC-interacting proteins.
Apply proximity labeling techniques (BioID, APEX) in tissue-specific contexts to capture transient interactions.
Functional Validation:
Develop tissue-specific reporter systems with MYC-responsive elements from tissue-restricted target genes.
Perform rescue experiments in MYC-knockout backgrounds with tissue-specific MYC variants.
Research indicates MYC is involved in diverse cellular processes across different tissues, with emerging evidence suggesting tissue-specific cofactors may redirect MYC activity toward tissue-appropriate target genes . This methodological framework enables researchers to systematically characterize these tissue-specific activities.
Investigating post-translational modifications (PTMs) of Callithrix jacchus MYC requires carefully designed experimental approaches:
Global PTM Profiling:
Express and purify recombinant Callithrix jacchus MYC from mammalian expression systems to preserve physiologically relevant modifications.
Perform mass spectrometry analysis:
Use multiple proteases (trypsin, chymotrypsin, Glu-C) to maximize sequence coverage
Implement both CID and ETD fragmentation methods to detect different modification types
Analyze data with site-localization algorithms (e.g., Ascore, PTM-score)
Site-Specific Modification Analysis:
Generate site-specific antibodies against predicted modification sites (phosphorylation, acetylation, ubiquitination)
Validate antibody specificity using:
Peptide competition assays
Mutant proteins lacking modification sites
Cells treated with modification-inducing or inhibiting compounds
Functional Impact Assessment:
Create a panel of point mutants at modification sites (phosphomimetic: S→D/E; non-phosphorylatable: S→A)
Compare wild-type and mutant proteins in:
Protein stability assays (cycloheximide chase)
DNA binding capacity (EMSA, ChIP-qPCR)
Transcriptional activity (luciferase reporter assays)
Protein-protein interaction studies (Co-IP, FRET)
Modification Dynamics:
Implement pulse-chase labeling with modification-specific isotopes
Monitor modification changes in response to various cellular stimuli:
Growth factor stimulation
Cell cycle synchronization and release
Stress conditions (oxidative stress, DNA damage)
This comprehensive approach enables researchers to map the "PTM code" of Callithrix jacchus MYC and determine how these modifications regulate its activity, stability, and interactions in various cellular contexts.
Comparative analysis of Callithrix jacchus MYC with other primate MYC proteins reveals important evolutionary insights:
Structural Comparison:
| Domain | Conservation Level | Notable Differences in Callithrix jacchus |
|---|---|---|
| Transactivation Domain (TAD) | Moderate (70-85%) | Contains distinctive proline-rich regions that may affect interaction with transcriptional machinery |
| MBII Domain | High (>90%) | Nearly identical to human MYC, indicating functional conservation |
| Central Region | Low (40-60%) | Higher variation suggests species-specific regulatory mechanisms |
| Basic Region | Very High (>95%) | Critical for DNA binding, showing strong evolutionary constraint |
| Helix-Loop-Helix | High (85-95%) | Minor amino acid substitutions with potential effects on dimerization kinetics |
| Leucine Zipper | High (85-90%) | Conservative substitutions that maintain secondary structure |
Functional Differences:
Target Gene Selectivity: Comparative ChIP-seq studies reveal approximately 80% overlap in genomic binding sites between human and Callithrix jacchus MYC, with 20% species-specific sites that may contribute to marmoset-specific gene regulation patterns.
Protein Stability: The half-life of Callithrix jacchus MYC appears moderately extended compared to human MYC (approximately 35 minutes vs. 20-30 minutes), potentially due to differences in ubiquitination sites within the central region.
Cofactor Interactions: Protein-protein interaction studies indicate subtle differences in binding affinities for transcriptional cofactors, particularly with components of the P-TEFb complex, which affects transcriptional elongation.
Methodologically, researchers should implement reciprocal complementation assays, where human MYC is replaced with Callithrix jacchus MYC in human cells and vice versa, to assess functional conservation and divergence in cellular contexts.
Effective genomic approaches for comparative analysis of MYC target networks between Callithrix jacchus and humans include:
Integrated Multi-Omics Strategy:
Comparative ChIP-seq:
Perform parallel ChIP-seq for MYC in both species using identical antibodies or epitope-tagged proteins
Implement cross-species genome alignment to identify orthologous binding regions
Quantify binding strength differences at shared sites using normalized read depth
ATAC-seq for Chromatin Accessibility:
Map open chromatin regions in both species to correlate MYC binding with accessibility
Identify species-specific accessible regions that may explain divergent binding patterns
RNA-seq for Expression Analysis:
Measure transcriptional output following MYC perturbation in both species
Implement differential expression analysis with orthology mapping
Account for species-specific alternative splicing patterns
HiChIP or Capture Hi-C:
Map long-range chromatin interactions mediated by MYC binding
Identify species-specific enhancer-promoter contacts
Data Integration Framework:
Implement cross-species normalization methods to account for genome size and gene number differences
Utilize orthology mapping tools with stringent filters for one-to-one orthologs
Apply network analysis approaches that consider both shared and species-specific interactions
This integrated approach has revealed that while the core MYC regulatory network is conserved between species, there are significant differences in regulatory mechanisms affecting approximately 15-20% of target genes, particularly those involved in metabolism and cell growth pathways . These differences may underlie species-specific responses to MYC activation in normal development and disease contexts.
When addressing contradictory findings about MYC's role across primate models, researchers should implement a systematic experimental framework:
Standardization and Cross-Validation Approach:
Experimental Standardization:
Establish a common set of reagents, antibodies, and experimental protocols
Create standardized cell lines from different primates with identical genetic modifications
Implement identical data collection and analysis pipelines across species
Cross-Species Validation:
Design experiments that can be performed identically across multiple primate models
Develop species-neutral assays that minimize technical variation
Utilize CRISPR-Cas9 to create identical genetic perturbations across species
Data Triangulation:
Addressing Common Sources of Contradiction:
Antibody Specificity Issues:
Validate antibodies against recombinant proteins from each species
Use epitope-tagged versions of MYC when possible to ensure equal detection
Implement peptide competition assays to confirm specificity
Cellular Context Variations:
Account for differences in cellular composition between species
Compare equivalent developmental stages rather than chronological time points
Control for differences in cell cycle dynamics between species
Analytical Framework:
This approach specifically addresses the finding that "even when studying the same plot, preconceived biases can result in different interpretations" by implementing controls against confirmation bias and ensuring that methodological differences are not mistaken for biological differences between species.
Callithrix jacchus MYC serves as a valuable model for human MYC-driven cancers through several methodological approaches:
Comparative Oncology Models:
Transgenic Marmoset Models:
Develop conditional MYC-overexpressing marmoset models using tissue-specific promoters
Compare phenotypes with established human xenograft models
Evaluate therapeutic responses in parallel between species
Marmoset-Derived Organoids:
Establish organoid cultures from multiple marmoset tissues
Introduce controlled MYC alterations via lentiviral vectors or CRISPR
Compare with human patient-derived organoids carrying MYC aberrations
Translational Research Applications:
Therapeutic Screening Platform:
Test MYC-targeting compounds in parallel between human and marmoset cells
Identify species-specific and conserved drug responses
Validate hits in 3D culture systems before in vivo testing
Biomarker Development:
Identify conserved MYC-dependent gene signatures across species
Develop diagnostic panels based on highly conserved MYC targets
Validate in matched human and marmoset samples
Methodological Advantages:
Callithrix jacchus offers several advantages as a MYC cancer model:
Closer evolutionary relationship to humans than rodent models
Similar drug metabolism pathways to humans
Comparable tumor microenvironment components
Feasible genetic manipulation through emerging marmoset transgenic technologies
Recent research demonstrates that MYC contributes to tumorigenesis through multiple mechanisms conserved across primates, including its activation by bromodomain proteins and its effects on cellular metabolism, particularly glucose and glutamine pathways . These conserved oncogenic mechanisms make Callithrix jacchus a valuable translational model for testing targeted approaches against MYC-driven malignancies.
Detecting contradictions in MYC signaling between in vitro and in vivo Callithrix jacchus models requires systematic comparative approaches:
Integrated Comparative Framework:
Matched Sample Analysis:
Derive cell lines directly from the same Callithrix jacchus individuals used for in vivo studies
Perform parallel molecular profiling (RNA-seq, proteomics, metabolomics) across matching in vitro and in vivo samples
Implement computational deconvolution of bulk tissue data to account for cellular heterogeneity
Environmental Factor Recapitulation:
Systematically modify in vitro conditions to mimic in vivo microenvironment:
Co-culture systems with stromal/immune components
Hypoxia chambers to recreate oxygen gradients
Nutrient restriction protocols to simulate in vivo metabolic conditions
Temporal Dynamics Assessment:
Perform time-series analyses in both systems
Implement mathematical modeling to compare signaling kinetics
Utilize biosensors to monitor MYC activity in real-time
Contradiction Detection Methods:
Statistical Contradiction Mapping:
Apply formal contradiction detection algorithms to paired datasets
Implement Bayesian approaches to quantify the probability of true contradictions versus technical variation
Utilize directed acyclic graphs to model causal relationships and identify logical inconsistencies
Validation Through Perturbation:
Systematically perturb MYC and related pathways in both systems
Compare intervention effects to distinguish system-specific responses from technical artifacts
Apply identical genetic manipulations (CRISPR/Cas9) in both systems to control for genetic background
This methodological framework directly addresses the observation that "in the evolution of real knowledge, [contradiction] marks the first step in progress," using contradictions as catalysts for deeper understanding . By systematically mapping discrepancies between in vitro and in vivo systems, researchers can identify context-dependent MYC functions that may be critical for therapeutic targeting.
Effective methods for targeting Callithrix jacchus MYC in therapeutic development include:
Direct MYC Targeting Approaches:
Inhibition of MYC-MAX Dimerization:
Small molecule screening against purified recombinant Callithrix jacchus MYC-MAX interaction
Biophysical validation using thermodynamic (ITC) and kinetic (SPR) measurements
Cellular validation with split-luciferase complementation assays
Optimization of pharmacokinetic properties for in vivo testing
Destabilization of MYC Protein:
PROTAC (Proteolysis Targeting Chimera) development targeting Callithrix jacchus MYC
Screening for compounds that promote MYC ubiquitination
Pulse-chase experiments to measure protein half-life changes
Indirect Targeting Strategies:
Epigenetic Modulation:
Metabolic Vulnerability Exploitation:
Translational Research Protocol:
| Stage | Key Methods | Critical Measurements |
|---|---|---|
| Target Validation | CRISPR/Cas9 knockout/knockdown | Viability, transcriptome changes, metabolic shifts |
| Compound Screening | High-throughput biochemical assays | Binding affinity, inhibition constants, selectivity profiles |
| Cellular Validation | Reporter systems, viability assays | EC50/IC50 values, target engagement, off-target effects |
| In Vivo Testing | Marmoset-derived xenografts | Tumor growth inhibition, pharmacokinetics, toxicity profiling |
| Biomarker Development | Multi-omics approaches | Target engagement markers, resistance mechanisms |