The recombinant Candida glabrata cytochrome c oxidase assembly protein COX16 (mitochondrial) is a purified protein product derived from the yeast Candida glabrata (strain ATCC 2001/CBS 138). This protein is critical for the biogenesis of cytochrome c oxidase (COX), the terminal enzyme of the mitochondrial respiratory chain responsible for transferring electrons to oxygen. COX16 facilitates the proper assembly of COX subunits and ensures the incorporation of copper cofactors, particularly into the CuA site of COX subunit 2 (COX2) .
Though specific data on C. glabrata COX16 are sparse, insights from human and yeast models provide a framework:
Knowledge Gaps
No direct studies on C. glabrata COX16’s role in pathogenicity or metabolic adaptation.
Limited structural data for comparative analysis with other COX16 homologs.
Research Priorities
Functional Studies: Knockout models in C. glabrata to assess COX16’s role in respiratory chain efficiency.
Therapeutic Implications: Exploring COX16 as a target for antifungal agents in Candida infections.
KEGG: cgr:CAGL0D03102g
Based on comparative analysis with human COX16, the C. glabrata COX16 protein is likely an inner mitochondrial membrane protein with its C-terminus facing the intermembrane space. In humans, COX16 lacks a predictable N-terminal presequence and is inserted into the inner mitochondrial membrane with a single transmembrane domain . The protein is only accessible to protease treatment when the outer membrane is disrupted and shows resistance to carbonate extraction, confirming its membrane integration . When studying C. glabrata COX16 localization, researchers should employ:
Subcellular fractionation with differential centrifugation
Protease protection assays with isolated mitochondria
Carbonate extraction to differentiate between membrane-integrated and peripheral proteins
Immunofluorescence microscopy with COX16-specific antibodies or epitope-tagged recombinant proteins
For definitive localization confirmation, researchers should generate GFP-fusion proteins and compare colocalization with established mitochondrial markers.
COX16 is required for cytochrome c oxidase (Complex IV) assembly in the mitochondrial respiratory chain. Research indicates that COX16 plays a specific role in the biogenesis of the COX2 subunit and facilitates its association with the COX1-containing assembly module . In humans, COX16 specifically:
Interacts with newly synthesized COX2
Is required for SCO1 (but not SCO2) association with COX2, implicating it in CuA site formation
Facilitates COX2 association with MITRAC assembly intermediate containing COX1
For studying this function in C. glabrata, researchers should implement:
COX16 knockout/knockdown experiments followed by cytochrome c oxidase activity assays
Blue-Native PAGE to analyze assembly intermediates and respiratory chain complexes
Co-immunoprecipitation studies to identify interaction partners
In-gel activity staining to assess functional consequences of COX16 disruption
While the search results don't specifically address regulation of COX16 in C. glabrata, researchers investigating this question should employ:
qRT-PCR analysis of COX16 mRNA levels under various conditions:
Different carbon sources (glucose, glycerol, lactate)
Aerobic vs. hypoxic conditions
Presence/absence of respiratory inhibitors
Copper-limited vs. copper-replete conditions
Western blot analysis for protein levels under the same conditions
Promoter analysis using reporter constructs to identify regulatory elements
Chromatin immunoprecipitation (ChIP) to identify transcription factors binding to the COX16 promoter
Human COX16 is highly expressed in tissues with high energy demands, particularly skeletal and cardiac muscle . In C. glabrata, researchers should examine if expression varies during different growth phases and stress conditions, especially under host-mimicking conditions.
For successful recombinant expression and purification of C. glabrata COX16:
Expression system selection:
E. coli: Use BL21(DE3) strain with pET vectors containing a cleavable N-terminal tag (His6 or GST)
Yeast expression: S. cerevisiae or P. pastoris systems may provide better folding for mitochondrial proteins
Cell-free systems: Consider for difficult membrane proteins
Optimization strategies:
Express without the predicted transmembrane domain for improved solubility
Use fusion partners (MBP, SUMO) to enhance solubility
Employ low induction temperatures (16-20°C) for proper folding
Include mild detergents for membrane protein solubilization (DDM, LDAO, or Triton X-100)
Purification protocol:
Affinity chromatography using His-tag or GST-tag
Size exclusion chromatography to remove aggregates
Ion exchange chromatography for final polishing
For membrane-integrated form, solubilize with 1% DDM followed by affinity purification
Quality control assessments:
Circular dichroism (CD) to verify secondary structure
Dynamic light scattering (DLS) to confirm monodispersity
Thermal shift assays to assess stability
Multiple complementary approaches should be employed to study COX16 function:
To assess COX16 mutation effects on cytochrome c oxidase assembly:
Mutation design strategy:
Target conserved residues identified through sequence alignment with human COX16
Create pathogenic-mimicking mutations based on human disease variants
Perform systematic alanine scanning of predicted functional domains
Assembly analysis methods:
Functional assessment techniques:
Copper-related assessments:
While specific data for C. glabrata is limited, researchers investigating this question should:
Identify C. glabrata homologs of human copper chaperones:
SCO1 and SCO2 homologs
COA6 homolog
Other copper chaperones involved in COX assembly
Perform comparative interaction studies:
Co-immunoprecipitation experiments with tagged versions of COX16 and copper chaperones
Surface plasmon resonance (SPR) to measure binding affinities
Isothermal titration calorimetry (ITC) for thermodynamic parameters of interactions
Functional assessment:
Research in human cells has shown that COX16 is required for SCO1 (but not SCO2) association with COX2, and pathogenic mutations in SCO1 and COA6 impact their association with COX16 . Researchers should determine if these differential interactions are conserved in C. glabrata.
This advanced research question requires sophisticated approaches:
Structural analysis:
Cryo-EM structures of COX16-COX2-SCO1 complexes at different stages of copper insertion
NMR studies of domain interactions with isotopically labeled proteins
Computational molecular dynamics simulations of copper transfer pathways
Copper transfer assays:
In vitro reconstitution of copper transfer with purified components
Use of copper-specific fluorescent probes to track transfer kinetics
Stopped-flow kinetic analysis of transfer reactions
Mutational analysis:
Site-directed mutagenesis of predicted copper-binding residues
Creation of chimeric proteins between different species to identify critical domains
CRISPR-mediated base editing for precise residue modifications
Redox state analysis:
Redox-sensitive fluorescent proteins fused to COX16 domains
Mass spectrometry to identify redox-modified residues during copper transfer
EPR spectroscopy to monitor copper oxidation states
Current research suggests that despite lacking a canonical copper-binding motif, COX16 may be involved in copper delivery to COX2 . The exact mechanism remains to be elucidated.
This question addresses the pathogen-specific context:
Infection-mimicking conditions for study:
Macrophage co-culture systems with wild-type and COX16-deficient C. glabrata
Growth in serum or other host-mimicking media with varying copper availability
Exposure to reactive oxygen and nitrogen species mimicking host immune response
Stress response analysis:
Mutant phenotyping:
Survival analysis of COX16-deficient strains in macrophages
Virulence assessment in animal models
Competitive growth assays between wild-type and mutant strains
Adaptive responses:
Evolution experiments under host-mimicking conditions to identify compensatory mechanisms
Analysis of clinical isolates for COX16 sequence and expression variations
To address this evolutionary question:
Comparative sequence analysis:
Multiple sequence alignment of COX16 from diverse fungal species
Phylogenetic analysis to identify evolutionary relationships
Domain conservation analysis across species
Identification of conserved motifs and residues
Functional complementation studies:
Cross-species complementation experiments (e.g., C. glabrata COX16 in S. cerevisiae cox16Δ)
Domain-swapping experiments between different fungal COX16 proteins
Heterologous expression of C. glabrata COX16 in human COX16-knockout cells
Comparative interaction studies:
Yeast two-hybrid screens with COX16 from different species
Affinity purification-mass spectrometry to compare interactomes
Structure prediction and modeling to identify conserved interaction surfaces
Phenotypic analysis:
Comparative growth analysis of COX16 mutants across species
Respiratory capacity measurements in different fungal backgrounds
Stress tolerance assessments across species
Human COX16 does not complement the yeast mutant strain, suggesting functional divergence . Similar comparative studies between C. glabrata and other fungi would be informative.
This question bridges evolutionary biology and clinical microbiology:
Clinical isolate analysis:
Experimental evolution approaches:
Serial passage experiments under antifungal pressure
Selection for respiratory deficiency and analysis of COX16 mutations
Copper limitation as a selective pressure for COX16 adaptation
Phenotypic consequences assessment:
Antifungal susceptibility testing of COX16 variants
Virulence assessment of evolved strains
Fitness cost measurement of adaptations
Population genetics analysis:
This translational research question requires:
Comparative structural analysis:
Identification of structural differences between human and C. glabrata COX16
Virtual screening for compounds that selectively bind fungal COX16
Fragment-based drug discovery approaches targeting unique pockets
Vulnerability assessment:
Synthetic lethality screens to identify genes that become essential in COX16-deficient backgrounds
Chemical genetic screens to find compounds with enhanced activity against COX16 mutants
Metabolic profiling to identify compensatory pathways that could be co-targeted
Drug development considerations:
Assay development for high-throughput screening
Structure-activity relationship studies of hit compounds
Selectivity testing against human COX16 and mitochondrial function
Combination approaches:
Testing synergy between COX16-targeting compounds and existing antifungals
Exploration of copper chelators or ionophores as COX16-dependent sensitizers
Investigation of mitochondrial stress inducers as potentiators
This question bridges basic biology and clinical relevance:
In vitro approaches:
Growth and cytochrome c oxidase activity assessment under copper-limited conditions
Competition assays between wild-type and COX16-deficient strains at varying copper concentrations
Transcriptomic and proteomic analysis of copper-dependent responses
Infection models:
Mouse infection models with controlled copper diets
Ex vivo infection of human tissues with varying copper levels
Cell culture infection models with copper chelators or supplements
Clinical correlations:
Analysis of COX16 function in clinical isolates from patients with different copper status
Correlation of copper levels in infection sites with C. glabrata fitness
Assessment of copper homeostasis genes in clinical isolates
Therapeutic implications:
Testing copper ionophores as antifungal agents
Investigating copper chelation as an adjuvant therapy
Developing copper-dependent targeted therapies
Human studies have shown that copper supplementation increases COX activity and restores normal steady-state levels of COX subunits in COX16 knockout cells . This suggests copper-based therapeutic approaches might be effective against C. glabrata infections.
Researchers face several challenges when working with this protein:
Membrane protein expression challenges:
Challenge | Solution Approach | Expected Outcome |
---|---|---|
Protein aggregation | Use mild detergents (DDM, LDAO); Express at low temperature (16-20°C) | Increased soluble protein yield |
Low expression levels | Optimize codon usage; Use strong inducible promoters; Test multiple expression hosts | 2-5 fold increased expression |
Improper folding | Co-express with chaperones; Use eukaryotic expression systems | Higher percentage of correctly folded protein |
Toxicity to host | Use tight expression control; Express toxic domains separately | Reduced host growth inhibition |
Functional assay challenges:
Challenge | Solution Approach | Technical Details |
---|---|---|
Distinguishing direct vs. indirect effects | Complementation with mutant variants; Acute protein depletion systems | Use degron tags for rapid protein depletion |
Measuring transient interactions | Proximity labeling (BioID, APEX); Crosslinking MS | Optimize labeling time (10-30 min) for transient interactions |
Assembly intermediate isolation | Tandem affinity purification; Gradient centrifugation | Use digitonin (1%) for gentle complex solubilization |
Copper transfer quantification | Copper-specific fluorescent probes; ICP-MS | Maintain anaerobic conditions to prevent oxidation |
Implementation strategies:
Start with soluble domains for initial characterization
Use nanodiscs or amphipols for membrane protein stabilization
Develop split-reporter assays for interaction studies
Implement controlled proteolysis to identify stable domains
This methodological question addresses data integration:
Multi-omics data integration:
Combine transcriptomics, proteomics, and metabolomics data using pathway analysis tools
Implement network analysis to identify functional modules
Use machine learning approaches to predict functional relationships
Develop computational models that integrate diverse data types
Structural-functional correlation:
Map functional data onto structural models
Identify structure-function relationships through comparative analysis
Use molecular dynamics simulations to predict effects of mutations
Implement integrative structural biology approaches combining multiple data types
Systems biology approaches:
Develop mathematical models of cytochrome c oxidase assembly
Implement flux balance analysis to predict metabolic consequences
Use agent-based modeling for assembly pathway simulation
Apply sensitivity analysis to identify critical parameters
Visualization and database tools:
Develop specialized databases for COX assembly factors
Create interactive visualization tools for complex datasets
Implement standardized data formats for sharing between research groups
Utilize existing pathway databases with custom overlays for COX16-specific data
By integrating these approaches, researchers can develop a comprehensive understanding of COX16 function that accounts for its roles in both normal physiology and pathological conditions.
Looking forward, several cutting-edge technologies hold promise:
Advanced imaging techniques:
Cryo-electron tomography of mitochondria to visualize COX16 in native context
Super-resolution microscopy (PALM/STORM) for dynamic assembly visualization
Correlative light and electron microscopy (CLEM) to track labeled assembly factors
Live-cell single-molecule tracking to monitor COX16 dynamics
Genome engineering advances:
CRISPR base editing for precise single-nucleotide modifications
CRISPRi/CRISPRa for temporal control of gene expression
Prime editing for precise sequence modifications
Genome-wide synthetic genetic arrays for comprehensive interaction mapping
Structural biology innovations:
AlphaFold2 and related AI tools for accurate structure prediction
Integrative structural biology combining multiple data sources
Time-resolved structural methods to capture assembly intermediates
Hydrogen-deuterium exchange mass spectrometry for conformational dynamics
Single-cell approaches:
Single-cell transcriptomics to identify cell-to-cell variation
Single-cell proteomics for protein-level heterogeneity
Microfluidic approaches for single-cell phenotyping
Spatial transcriptomics to map gene expression in infection contexts
Priority research areas include:
Mechanistic questions:
What is the step-by-step mechanism of COX16-facilitated copper insertion?
How does COX16 coordinate with other assembly factors temporally?
What signals regulate COX16 activity under different conditions?
How does COX16 contribute to assembly quality control?
Pathogenesis-related questions:
How does host copper sequestration affect COX16 function during infection?
Does COX16 contribute to antifungal resistance mechanisms?
Can COX16 function be targeted without affecting human mitochondria?
How does COX16 function change during host adaptation?
Evolutionary questions:
Why has COX16 function diverged between yeast and humans?
What selective pressures shape COX16 evolution in pathogenic fungi?
How did the COX16-dependent assembly pathway evolve?
Are there species-specific interaction partners for COX16?
Therapeutic implications:
Can COX16-dependent pathways be exploited for combination therapies?
Would targeting COX16 reduce the emergence of antifungal resistance?
Could modulating copper homeostasis enhance existing antifungals?
Is COX16 function critical for persistence during antifungal treatment?
By addressing these questions, future research will not only advance our understanding of fundamental mitochondrial biology but also potentially reveal new therapeutic approaches for Candida infections.