Recombinant Capsella bursa-pastoris ATP synthase subunit c, chloroplastic (atpH) is a bioengineered protein derived from the F₀ sector of chloroplast ATP synthase. This subunit plays a critical role in proton translocation across thylakoid membranes, driving ATP synthesis during photosynthesis. The recombinant form is produced in mammalian cell systems (e.g., E. coli or mammalian expression hosts) for research purposes, enabling structural and functional studies of ATP synthase mechanisms .
Primary Sequence: The recombinant atpH from Capsella bursa-pastoris spans 81 amino acids (AA sequence: MNPLVSAASVIAAGLAVGLASIGPGVGQGTAAGQAVEGIARQPEAEGKIRGTLLLSLAFMEALTIYGLVVALALLFANPFV) .
Secondary Structure: Predominantly α-helical, consistent with its role in forming a hydrophobic c-ring within the ATP synthase complex .
Function: Acts as a proton channel, coupling proton translocation to ATP synthesis via rotational movement of the c-ring .
Host Systems: Mammalian cells are preferred for proper folding and post-translational modifications, though bacterial systems (e.g., E. coli) are used for other chloroplast atpH variants .
Purification:
Proton Translocation: The c-ring (cₙ) stoichiometry determines the ATP:proton ratio. For example, spinach c₁₄ rings synthesize 3 ATP per 14 protons .
Structural Insights: Recombinant c-subunits enable reconstitution of c-rings for cryo-EM studies to resolve rotational mechanisms .
ELISA Kits: Commercial kits (e.g., American Science) utilize recombinant atpH for antibody validation and quantification in plant extracts .
Functional Rescue: Mitochondrial isoforms (e.g., P1/P2) demonstrate non-redundant roles in respiratory chain maintenance, suggesting analogous specificity for chloroplast atpH .
Stoichiometric Variability: The number of c-subunits (n) in c-rings varies across species, influencing ATP production efficiency. Recombinant systems enable systematic studies of n effects .
Cross-Species Complementation: Unlike mitochondrial isoforms, chloroplast atpH may exhibit functional redundancy, requiring further investigation .
Capsella bursa-pastoris Medik. (commonly known as shepherd's purse) is a plant species with documented antibacterial, anti-inflammatory, antioxidant, anticancer, and hepatoprotective effects . Its widespread distribution and distinctive morphological characteristics make it an accessible model organism for studying plant proteins, including chloroplastic ATP synthase components. The plant contains diverse bioactive compounds including polyphenols (634.23 mg GAE/g DW in fruits), flavonoids (23.14 mg QE/g DW in fruits), and anthocyanins (7.18 mg cyanidin/100 g DW in flowers) . These compounds may influence protein stability and function during extraction, making it essential to understand the phytochemical environment when isolating chloroplastic proteins like atpH.
The chloroplastic ATP synthase subunit c (atpH) in C. bursa-pastoris functions as part of the membrane-embedded F0 portion of the ATP synthase complex. This protein forms a ring structure in the thylakoid membrane that facilitates proton translocation across the membrane. The proton gradient generated during photosynthesis drives the rotation of this c-ring, which couples with the F1 portion to synthesize ATP. In C. bursa-pastoris, as in other plants, this process is fundamental to energy production during photosynthesis, converting light energy into chemical energy stored as ATP.
The extraction of native atpH protein from C. bursa-pastoris typically requires careful consideration of the plant's phytochemical composition. Based on established protocols for protein extraction from plant tissues, researchers should:
Select appropriate plant tissues (leaves are recommended due to higher chloroplast content)
Homogenize tissue in extraction buffer containing:
50 mM Tris-HCl (pH 7.5)
100 mM NaCl
10% glycerol
1 mM EDTA
Protease inhibitor cocktail
Isolate chloroplasts through differential centrifugation
Lyse chloroplasts and separate thylakoid membranes
Solubilize membrane proteins using mild detergents (e.g., n-dodecyl β-D-maltoside)
Purify the atpH protein using chromatographic techniques
The extraction protocol must account for the high polyphenol content in C. bursa-pastoris tissues (344.23 mg GAE/g DW in leaves) , which can interfere with protein purification by causing oxidation and protein precipitation.
For optimal expression of recombinant C. bursa-pastoris atpH, researchers should consider multiple expression systems based on research objectives:
E. coli-based expression systems:
BL21(DE3) strain is suitable for high-yield expression when proper codon optimization is performed
C41(DE3) or C43(DE3) strains are preferable for membrane proteins like atpH
Expression vectors containing T7 promoter and appropriate fusion tags (His6, MBP, or SUMO) improve solubility
Plant-based expression systems:
Transient expression in Nicotiana benthamiana using Agrobacterium-mediated transformation
Stable transformation of Arabidopsis thaliana for functional studies in a native-like environment
Cell-free expression systems:
Wheat germ extract systems for avoiding inclusion body formation
E. coli S30 extract supplemented with lipid vesicles for functional membrane protein synthesis
When designing expression constructs, researchers should implement codon optimization based on the target expression system and consider including a cleavable tag for purification that minimizes interference with protein structure and function.
Optimizing purification of recombinant atpH while maintaining its native conformation requires a multi-step approach:
Solubilization strategy:
Test multiple detergents (DDM, LDAO, CHAPS) at various concentrations
Evaluate solubilization efficiency using Western blotting
Monitor protein stability using circular dichroism during detergent screening
Affinity chromatography:
Immobilized metal affinity chromatography (IMAC) for His-tagged constructs
Employ gradient elution to separate different binding populations
Include low concentrations of detergent in all buffers to prevent aggregation
Secondary purification:
Size exclusion chromatography to isolate properly folded monomeric or oligomeric states
Ion exchange chromatography for removing contaminants with different charge profiles
Quality assessment:
Analytical ultracentrifugation to confirm proper oligomerization
CD spectroscopy to verify secondary structure integrity
Thermal shift assays to evaluate protein stability
The purification protocol should be optimized with antioxidants (such as 5 mM DTT or 1 mM TCEP) to counteract potential oxidative damage from residual plant phenolic compounds that might co-purify with the protein.
The structural characterization of recombinant atpH requires complementary techniques:
Spectroscopic methods:
Circular dichroism (CD) spectroscopy to determine secondary structure composition
Fluorescence spectroscopy to monitor tertiary structure and conformational changes
Nuclear magnetic resonance (NMR) for atomic-level structural information of isotope-labeled protein
Crystallographic approaches:
X-ray crystallography for high-resolution structural determination (requires optimization of crystallization conditions)
Cryo-electron microscopy for visualizing the protein in its membrane environment or as part of the ATP synthase complex
Computational methods:
Homology modeling based on known ATP synthase c-subunit structures
Molecular dynamics simulations to study dynamic properties and lipid interactions
Biophysical techniques:
Small-angle X-ray scattering (SAXS) for low-resolution structural information in solution
Hydrogen-deuterium exchange mass spectrometry to probe solvent accessibility and dynamics
Each technique provides complementary information, and researchers should design a structural characterization pipeline based on specific research questions and available resources.
Functional assays for recombinant atpH should focus on both its individual properties and its role within the ATP synthase complex:
Proton translocation assays:
Reconstitution of purified atpH into liposomes containing pH-sensitive fluorescent dyes
Measurement of fluorescence changes upon establishing a pH gradient
Quantification of proton flux rates under varying conditions
ATP synthesis/hydrolysis assays:
Reconstitution of atpH with other ATP synthase subunits in proteoliposomes
Measurement of ATP synthesis upon establishment of proton gradient
Quantification of Pi release during ATP hydrolysis using malachite green or EnzChek assays
Binding assays:
Isothermal titration calorimetry to measure binding affinity to other ATP synthase subunits
Surface plasmon resonance to study interaction kinetics with partner proteins
Microscale thermophoresis for detecting molecular interactions in near-native conditions
Structural integrity assays:
Proteolytic susceptibility assays to assess proper folding
Thermal stability assays using differential scanning fluorimetry
These methodologies can be adapted based on specific research questions and available equipment, with appropriate controls to validate assay specificity and sensitivity.
To analyze the integration of recombinant atpH into functional ATP synthase complexes:
Reconstitution approaches:
Co-expression of atpH with other ATP synthase subunits
Stepwise reconstitution of purified subunits
Incorporation of recombinant atpH into isolated thylakoid membranes lacking endogenous atpH
Analytical techniques for complex formation:
Blue native PAGE to visualize intact ATP synthase complexes
Sucrose density gradient ultracentrifugation to isolate assembled complexes
Co-immunoprecipitation to verify specific protein-protein interactions
Crosslinking mass spectrometry to map interaction interfaces
Functional validation:
ATP synthesis assays using reconstituted complexes
Proton pumping assays using pH-sensitive fluorescent dyes
Rotational analysis using single-molecule techniques
Structural validation:
Negative stain electron microscopy to visualize complex formation
Cryo-electron microscopy for higher resolution structural analysis
Mass photometry to determine stoichiometry of component parts
Success in these analyses depends on maintaining protein stability throughout the reconstitution process, which may require optimization of buffer conditions, lipid composition, and handling procedures.
Given the rich phytochemical profile of C. bursa-pastoris, studying compound-protein interactions is particularly relevant:
Screening methodologies:
Thermal shift assays to identify compounds that affect protein stability
Activity assays in the presence of isolated plant compounds or fractionated extracts
Isothermal titration calorimetry to measure binding affinities
NMR or X-ray crystallography to determine binding sites
Compound selection based on C. bursa-pastoris composition:
Flavonoids (particularly hyperoside and rutin found in high concentrations in CBP flowers, 80.0 and 110.0 mg/g respectively)
Phenolic acids (including ferulic acid found in CBP root and leaves, 3.86 mg/g)
Other bioactive compounds identified in the plant
Functional impact assessment:
Proton translocation efficiency in the presence of compounds
ATP synthesis rates with compound supplementation
Structural changes induced by compound binding
This research direction could identify natural compounds that modulate ATP synthase activity, potentially providing insights into the plant's energy metabolism regulation and stress responses.
When facing contradictory results between in vitro and in vivo functional assays of atpH:
Systematic comparison approach:
Create a detailed comparative table of experimental conditions
Identify key differences in protein environment (lipids, pH, ionic strength)
Evaluate the presence/absence of regulatory factors in different systems
Analysis of potential artifacts:
Assess whether purification tags affect protein function
Evaluate detergent effects on protein conformation and activity
Consider post-translational modifications present in vivo but absent in vitro
Reconciliation strategies:
Develop intermediate experimental systems (e.g., reconstituted membranes)
Use computational modeling to predict behavior under different conditions
Design experiments to specifically test hypothesized reasons for discrepancies
Reporting recommendations:
Document all experimental conditions comprehensively
Present both sets of data with appropriate context
Discuss possible biological significance of the observed differences
Researchers should recognize that differences between in vitro and in vivo results may reflect biologically meaningful regulatory mechanisms rather than experimental artifacts.
Challenge | Potential Causes | Solutions |
---|---|---|
Poor expression yield | Codon bias, protein toxicity, improper induction | Optimize codons, use specialized strains (C41/C43), induce at lower temperatures (16-18°C) |
Inclusion body formation | Rapid expression, improper folding, hydrophobic regions | Reduce induction temperature, co-express chaperones, use solubility-enhancing tags |
Protein aggregation during purification | Detergent removal, concentration steps, improper buffer conditions | Maintain detergent above CMC, avoid excessive concentration, optimize buffer composition |
Loss of activity | Denaturation, critical lipid removal, oxidation | Include stabilizing lipids, add antioxidants, handle protein at 4°C |
Heterogeneous product | Incomplete translation, proteolysis, multiple conformations | Use protease inhibitors, optimize construct design, employ additional purification steps |
Co-purification of contaminants | Non-specific binding, similar properties | Implement stringent washing steps, use multiple orthogonal purification methods |
When working with C. bursa-pastoris extracts or recombinant atpH, be particularly aware of the high antioxidant content of the plant tissues. The flowers show particularly high DPPH radical scavenging activity (87.07%) and FRAP values (753.64 μmol Trolox Equivalent/100g) , suggesting significant antioxidant presence that could affect protein oxidation states during extraction.
Computational approaches can significantly enhance experimental studies of atpH:
Structural prediction and analysis:
Homology modeling based on related ATP synthase c-subunits
Molecular dynamics simulations to study protein-membrane interactions
Prediction of critical residues for function through conservation analysis
QM/MM studies of proton translocation mechanisms
Systems biology approaches:
Gene co-expression network analysis to identify functional partners
Metabolic flux analysis to understand the impact of atpH modifications
Multi-scale modeling connecting molecular function to cellular energetics
Data integration frameworks:
Development of databases combining experimental data with predictions
Machine learning approaches to identify patterns in large-scale datasets
Network analysis to understand ATP synthase in the context of chloroplast biology
Experimental design optimization:
In silico mutagenesis to prioritize experimental targets
Virtual screening of compounds for interaction studies
Simulation of experimental conditions to interpret results
By integrating computational and experimental approaches, researchers can develop more comprehensive models of atpH function and regulation, potentially identifying novel research directions.
Studying post-translational modifications (PTMs) of atpH requires a methodical approach:
PTM prediction and mapping:
In silico prediction using PTM-specific algorithms
Conservation analysis across species to identify likely modification sites
Development of site-specific antibodies for common modifications
Mass spectrometry-based approaches:
Bottom-up proteomics with enrichment strategies for specific PTMs
Top-down proteomics to analyze intact proteoforms
Middle-down approaches for improved sequence coverage
Targeted MS methods for quantification of specific modifications
Functional impact assessment:
Site-directed mutagenesis of modified residues
Activity assays comparing wild-type and mutant proteins
Structural studies to determine conformational effects
Physiological context analysis:
Investigation of conditions that alter modification patterns
Quantitative proteomics across developmental stages or stress responses
Identification of enzymes responsible for adding/removing modifications
The rich phytochemical profile of C. bursa-pastoris suggests potential for interesting regulatory PTMs that may be unique to this species or modulated by its specific metabolite composition.
For effective comparative studies of atpH across plant species:
Sequence-based comparisons:
Multiple sequence alignment to identify conserved and variable regions
Phylogenetic analysis to understand evolutionary relationships
Selection pressure analysis to identify functionally important residues
Structural comparisons:
Homology modeling of atpH from multiple species
Superimposition of structures to identify conformational differences
Analysis of species-specific structural features
Functional comparisons:
Heterologous expression of atpH from different species
Standardized activity assays under identical conditions
Chimeric protein construction to identify functionally divergent regions
Environmental adaptation analysis:
Correlation of sequence/structural differences with habitat conditions
Thermal stability comparisons across species from different climates
Investigation of species-specific regulatory mechanisms
These comparative approaches can reveal adaptations in energy metabolism across plant species and potentially identify unique features of C. bursa-pastoris atpH related to the plant's documented medicinal properties.
Investigating the relationship between atpH function and antioxidant capacity:
Integrated experimental approaches:
Analysis of ATP synthase activity in different plant tissues with varying antioxidant profiles
Correlation of ATP production capacity with antioxidant compound accumulation
Measurement of atpH expression and ATP synthase assembly under oxidative stress
Oxidative damage assessment:
Quantification of oxidative modifications to atpH protein
Functional impact of oxidation on ATP synthase activity
Protective effects of tissue-specific antioxidants
Metabolic network analysis:
Tracking carbon flux between energy production and antioxidant biosynthesis
Investigation of regulatory crosstalk between pathways
Mathematical modeling of resource allocation under varying conditions
This research direction is particularly relevant for C. bursa-pastoris given its documented high antioxidant capacity, with flowers showing strong antioxidant activity as measured by DPPH (87.07%), CUPRAC (1318.33 μmol Trolox Equivalent/mL), and FRAP (753.64 μmol Trolox Equivalent/100g) assays . Understanding how the plant balances energy metabolism and antioxidant production could provide insights into its therapeutic potential.
The study of C. bursa-pastoris atpH offers several promising research directions:
Stress response mechanisms:
Investigation of atpH regulation under various abiotic stresses
Analysis of how ATP synthase efficiency correlates with stress tolerance
Identification of stress-specific post-translational modifications
Comparative genomics approaches:
Analysis of atpH sequence variations in C. bursa-pastoris populations from different environments
Investigation of chloroplast genome evolution in relation to energy metabolism
Identification of natural variants with enhanced stress tolerance
Engineering applications:
Development of modified atpH variants with improved function under stress
Creation of sensor systems based on atpH to monitor cellular energy status
Integration of atpH studies with broader photosynthetic efficiency enhancement efforts
These research directions could contribute to our understanding of plant adaptation mechanisms and potentially lead to applications in agriculture and biotechnology.
Multi-omics integration provides a comprehensive framework for understanding atpH:
Integrated omics workflow:
Genomics: Analysis of atpH gene structure, variants, and regulatory elements
Transcriptomics: Expression patterns across tissues, developmental stages, and conditions
Proteomics: Protein abundance, interactions, and modifications
Metabolomics: Correlation with energy metabolites and antioxidant compounds
Phenomics: Connection to plant growth, development, and stress responses
Data integration approaches:
Network analysis to identify functional modules
Machine learning for pattern recognition across datasets
Systems biology modeling to predict emergent properties
Biological insights:
Identification of condition-specific regulatory mechanisms
Discovery of novel functional interactions
Understanding of atpH's role in whole-plant energy homeostasis