Recombinant Bifidobacterium adolescentis ATP synthase subunit b (atpF)

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Product Specs

Form
Lyophilized powder
Note: While we prioritize shipping the format currently in stock, please specify your format preference in order notes for customized fulfillment.
Lead Time
Delivery times vary depending on the purchase method and location. Please contact your local distributor for precise delivery estimates.
Note: Standard shipping includes blue ice packs. Dry ice shipping requires advance notice and incurs additional charges.
Notes
Avoid repeated freeze-thaw cycles. Store working aliquots at 4°C for up to one week.
Reconstitution
Centrifuge the vial briefly before opening to collect the contents. Reconstitute the protein in sterile, deionized water to a concentration of 0.1-1.0 mg/mL. For long-term storage, we recommend adding 5-50% glycerol (final concentration) and aliquoting at -20°C/-80°C. Our standard glycerol concentration is 50% and may serve as a useful reference.
Shelf Life
Shelf life depends on several factors: storage conditions, buffer composition, temperature, and protein stability. Generally, liquid formulations have a 6-month shelf life at -20°C/-80°C, while lyophilized formulations have a 12-month shelf life at -20°C/-80°C.
Storage Condition
Upon receipt, store at -20°C/-80°C. Aliquot for multiple uses to prevent repeated freeze-thaw cycles.
Tag Info
Tag type is determined during manufacturing.
The tag type is determined during production. If you require a specific tag, please inform us, and we will prioritize its development.
Synonyms
atpF; BAD_1431; ATP synthase subunit b; ATP synthase F(0 sector subunit b; ATPase subunit I; F-type ATPase subunit b; F-ATPase subunit b
Buffer Before Lyophilization
Tris/PBS-based buffer, 6% Trehalose.
Datasheet
Please contact us to get it.
Expression Region
1-173
Protein Length
full length protein
Species
Bifidobacterium adolescentis (strain ATCC 15703 / DSM 20083 / NCTC 11814 / E194a)
Target Names
atpF
Target Protein Sequence
MVTAASEMELFLPKSYDIFWSLVILIIVAVFFYKFFLPKFQAVFDERAAKIEGGIAKAEQ AQKDADEAKAKYDAQLSNARVEASKIRDDARAEASHIIADARTRAEADAAQITATAQRSI ESQQQQALVSLKGEVGVLATALAGKILGSKLESDDVQSTMIDQMIAELDSDKK
Uniprot No.

Target Background

Function
F(1)F(0) ATP synthase synthesizes ATP from ADP using a proton or sodium gradient. This enzyme comprises two domains: the F(1) catalytic core (extramembraneous) and the F(0) membrane proton channel. These domains are connected by a central and a peripheral stalk. ATP synthesis in the F(1) catalytic domain is coupled to proton translocation via a rotary mechanism involving the central stalk subunits. This protein is a component of the F(0) channel, forming part of the peripheral stalk, linking F(1) to F(0).
Database Links
Protein Families
ATPase B chain family
Subcellular Location
Cell membrane; Single-pass membrane protein.

Q&A

What is Bifidobacterium adolescentis ATP synthase subunit b (atpF) and its functional significance?

ATP synthase subunit b (atpF) is a critical component of the F0F1-ATP synthase complex in Bifidobacterium adolescentis, forming part of the membrane-bound F0 sector. This protein plays an essential role in the proton channel formation and structural stability of the ATP synthase complex, which is crucial for ATP production through oxidative phosphorylation. Unlike the delta subunit (atpH) that functions in the F1 sector of ATP synthase, the b subunit anchors the catalytic F1 complex to the membrane-embedded F0 component, facilitating efficient energy conversion .

The atpF gene contributes significantly to B. adolescentis' energy metabolism, particularly in carbohydrate-rich environments like the human gut. Genomic analysis of B. adolescentis strains has revealed multiple copies of genes involved in energy production pathways, including glycolysis/gluconeogenesis and pentose phosphate pathways, highlighting the importance of ATP synthase components in this organism's metabolic functions .

What expression systems are most effective for producing recombinant B. adolescentis ATP synthase subunit b (atpF)?

Multiple expression systems can be employed for producing recombinant B. adolescentis ATP synthase subunit b (atpF), each with specific advantages depending on research needs:

  • E. coli expression system: Most commonly used due to rapid growth, high protein yields, and established protocols. This system is particularly useful for obtaining large quantities of protein for structural studies and biochemical assays .

  • Yeast expression systems: Beneficial when post-translational modifications are required, offering a eukaryotic environment while maintaining relatively high yields and simple culture conditions .

  • Baculovirus expression systems: Appropriate for complex proteins requiring specific folding environments or extensive post-translational modifications. This system provides a eukaryotic processing machinery that may better preserve protein functionality .

  • Mammalian cell expression: Offers the most sophisticated post-translational modification capabilities, though with lower yields and higher costs. This system is typically reserved for functional studies where native-like protein conformation is critical .

For most basic research applications, the E. coli system provides the optimal balance of yield and simplicity, particularly when the protein is tagged for purification and detection purposes.

What purification strategies yield the highest quality recombinant B. adolescentis atpF protein for research?

Obtaining high-purity recombinant B. adolescentis ATP synthase subunit b (atpF) typically involves a multi-step purification approach:

  • Affinity chromatography: Initially, using tags such as His-tag, GST, or the Avi-tag biotinylation system allows for selective capture of the target protein. The in vivo biotinylation approach using AviTag-BirA technology is particularly effective, creating a covalent biotin attachment to the AviTag peptide with high specificity .

  • Ion exchange chromatography: Following initial purification, this technique separates proteins based on charge differences, removing contaminants with different isoelectric points.

  • Size exclusion chromatography: A final polishing step to achieve >85% purity as confirmed by SDS-PAGE .

For membrane proteins like atpF, additional considerations include:

  • Appropriate detergent selection for solubilization

  • Temperature control during purification

  • Addition of stabilizing agents to prevent aggregation

Most laboratories aim for a minimum purity of 85% for research applications, though higher purity (>95%) may be necessary for crystallography or other structural studies .

How can researchers verify the structural integrity and functionality of purified recombinant atpF?

Verification of structural integrity and functionality of purified recombinant B. adolescentis ATP synthase subunit b (atpF) requires multiple analytical approaches:

  • SDS-PAGE and Western blotting: Confirm protein size, purity (>85% standard), and identity using antibodies against the protein or associated tags .

  • Circular dichroism (CD) spectroscopy: Assess secondary structure elements to ensure proper folding.

  • Thermal shift assays: Evaluate protein stability and proper folding through melting temperature analysis.

  • Functional assays: Measure ATP synthase activity in reconstituted systems or binding studies with partner proteins from the ATP synthase complex.

  • Mass spectrometry: Verify the exact molecular weight and potential post-translational modifications.

For membrane proteins like atpF, additional methods include:

  • Fluorescence spectroscopy to assess tertiary structure

  • Limited proteolysis to examine domain organization

  • Reconstitution into liposomes to evaluate membrane integration

These complementary approaches provide comprehensive validation of the recombinant protein's structural and functional properties before proceeding with advanced research applications.

How does the B. adolescentis ATP synthase b subunit contribute to its probiotic properties in gut health?

The ATP synthase b subunit (atpF) in B. adolescentis may contribute significantly to its probiotic functionality through several mechanisms:

  • Metabolic efficiency: The ATP synthase complex, including the b subunit, enables efficient energy harvesting, supporting B. adolescentis survival and colonization in the competitive gut environment. Genomic analysis reveals that B. adolescentis contains comprehensive metabolic pathways, particularly those related to energy and carbohydrate metabolism, which enhance its therapeutic efficacy in gut conditions .

  • Stress resistance: ATP production facilitated by the intact ATP synthase complex, including properly functioning atpF, contributes to stress resistance mechanisms. This enables B. adolescentis to withstand the harsh gut environment and antibiotic challenges, as evidenced by the presence of specific resistance genes like rpoB mutants, tet(W), dfrF, and ErmX identified in genomic studies .

  • Immune modulation potential: While the direct immunomodulatory role of atpF remains understudied, the energy metabolism supported by ATP synthase enables B. adolescentis to produce metabolites that modulate host immune responses. Studies demonstrate that B. adolescentis promotes regulatory T cell differentiation while suppressing Th2 responses, reducing proinflammatory cytokines (IL-6, IL-1β, IL-17A, IFN-γ, TNF-α) and enhancing anti-inflammatory cytokines (IL-4, IL-10, TGF-β1) .

  • Intestinal barrier support: B. adolescentis has been shown to restore tight junction proteins (ZO-1, occludin, and claudin-2), safeguarding intestinal epithelial barrier function. The metabolic activity supported by ATP synthase complexes may contribute to the production of short-chain fatty acids and other metabolites that maintain intestinal barrier integrity .

The contribution of atpF to these functions merits further investigation, particularly through comparative studies of wild-type and atpF-mutant strains to elucidate specific mechanisms.

What experimental models are most appropriate for studying ATP synthase subunit b (atpF) function in inflammatory bowel disease contexts?

For investigating B. adolescentis ATP synthase subunit b (atpF) function in inflammatory bowel disease (IBD) contexts, several experimental models offer distinct advantages:

Model TypeAdvantagesLimitationsKey Applications
DSS-induced colitis (mice)Well-established IBD model; reproducible inflammation; assessable disease activity index (DAI)Acute rather than chronic inflammation; may not fully recapitulate human IBDEvaluating therapeutic effects on inflammation, weight loss, and colonic damage
T-cell transfer colitisChronic inflammation; T-cell mediated; closer to human IBD immunologyTechnical complexity; longer experimental durationStudying immunomodulatory effects on T-cell populations, particularly Tregs
IL-10 knockout miceSpontaneous colitis development; genetic basisVariable onset; multiple factors influence diseaseInvestigating genetic interactions with microbial factors
In vitro epithelial modelsControlled environment; mechanistic studies; ethical advantagesLimited complexity; absence of immune componentsEvaluating direct effects on barrier function (ZO-1, occludin, claudin-2)
Ex vivo tissue culturesMaintains tissue architecture; allows for human samplesShort viability window; technical challengesTranslational studies with human IBD tissues

The most comprehensive approach combines in vivo models (primarily DSS-induced colitis) with in vitro epithelial barrier models. This combination allows researchers to assess both immunomodulatory effects (reduction in proinflammatory cytokines IL-6, IL-1β, TNF-α) and barrier protection functions (expression of tight junction proteins) simultaneously .

For specifically studying atpF contributions, genetically modified B. adolescentis strains with altered atpF expression can be evaluated across these models, coupled with transcriptomic and metabolomic analyses to identify atpF-dependent mechanisms of action.

What methodologies are optimal for investigating interactions between atpF and other ATP synthase complex components?

Investigating interactions between ATP synthase subunit b (atpF) and other components of the ATP synthase complex requires sophisticated biophysical and biochemical approaches:

  • Crosslinking coupled with mass spectrometry (XL-MS): This technique identifies proximity relationships between proteins by creating covalent bonds between nearby amino acids, followed by proteolytic digestion and mass spectrometric analysis. For membrane proteins like atpF, specialized crosslinkers with varying spacer arm lengths can probe different interaction distances.

  • Cryo-electron microscopy (cryo-EM): Particularly valuable for large complexes like ATP synthase, cryo-EM can achieve near-atomic resolution without crystallization. Sample preparation requires careful detergent selection or nanodiscs for membrane protein stabilization.

  • Surface plasmon resonance (SPR) and bio-layer interferometry (BLI): These techniques quantify binding kinetics between purified atpF and partner proteins, providing association and dissociation rates along with equilibrium constants.

  • Förster resonance energy transfer (FRET): By labeling atpF and potential interaction partners with appropriate fluorophore pairs, researchers can monitor protein-protein interactions in real-time, potentially even in live bacterial cells.

  • Hydrogen-deuterium exchange mass spectrometry (HDX-MS): This method identifies protein interaction interfaces by measuring the rate of hydrogen-deuterium exchange in different regions of the protein structure, with interaction sites showing reduced exchange rates.

  • Co-immunoprecipitation with specific antibodies: While traditional, this approach can verify interactions when coupled with sensitive detection methods like Western blotting or mass spectrometry.

For functional assessments of these interactions, reconstitution of purified components into liposomes followed by ATP synthesis/hydrolysis assays can determine how specific interactions contribute to enzymatic activity.

How might post-translational modifications affect B. adolescentis atpF function in different gut microenvironments?

Post-translational modifications (PTMs) of B. adolescentis ATP synthase subunit b (atpF) may significantly impact its function across varying gut microenvironments:

  • Phosphorylation: The most likely PTM to affect atpF, potentially regulating ATP synthase assembly or activity in response to energy availability. In inflammatory microenvironments characteristic of IBD, altered phosphorylation patterns could affect energy production efficiency, impacting bacterial survival and metabolite production.

  • Acetylation: May respond to changes in carbon source availability across different gut regions. Acetylation status could influence protein-protein interactions within the ATP synthase complex, particularly at the interface between atpF and other subunits.

  • Oxidative modifications: In inflammatory conditions with increased reactive oxygen species, oxidation of susceptible residues could impair atpF function, potentially explaining reduced B. adolescentis populations observed in IBD patients .

  • Proteolytic processing: Limited proteolysis might generate functional variants of atpF adapted to specific gut niches or stress conditions.

Methodologically, investigating these PTMs requires:

  • Enrichment strategies specific to each modification type

  • High-resolution mass spectrometry for identification and site localization

  • Site-directed mutagenesis to create PTM-mimetic or PTM-deficient variants

  • Functional assays in relevant pH, oxygen, and nutrient conditions mimicking different gut microenvironments

Understanding these modifications could explain the differential performance of B. adolescentis strains in healthy versus diseased gut environments and inform strain selection or engineering for therapeutic applications.

What structural biology approaches would yield the most valuable insights into B. adolescentis atpF function?

Multiple structural biology approaches offer complementary insights into B. adolescentis ATP synthase subunit b (atpF) function:

  • Cryo-electron microscopy (cryo-EM): Provides the most promising avenue for visualizing the entire ATP synthase complex with atpF in its native context. Recent advances in single-particle cryo-EM have enabled near-atomic resolution of membrane protein complexes without crystallization. For atpF specifically, this approach can reveal how it connects the membrane-embedded F0 portion with the catalytic F1 head.

  • X-ray crystallography: While challenging for membrane proteins, crystallography of individual domains or stabilized constructs can provide atomic-level details of specific regions. For atpF, this might focus on soluble domains or fusion constructs with crystallization chaperones.

  • Nuclear magnetic resonance (NMR) spectroscopy: Best suited for smaller domains of atpF, solution NMR can provide dynamic information about protein movements during function. Solid-state NMR offers alternatives for membrane-embedded regions.

  • Integrative structural biology: Combining lower-resolution techniques (small-angle X-ray scattering, negative-stain EM) with computational modeling and cross-linking mass spectrometry can overcome limitations of individual methods.

  • Molecular dynamics simulations: Based on structural data, simulations can reveal conformational changes in atpF during ATP synthesis, particularly how proton translocation couples to mechanical rotation.

The structural data should be correlated with functional experiments such as:

  • Site-directed mutagenesis of key residues identified in structures

  • Assessment of ATP synthesis activity with purified components reconstituted in liposomes

  • Proton translocation assays to examine the coupling efficiency

These approaches would provide insights into how atpF contributes to B. adolescentis energy metabolism and potentially its probiotic effects in gut health applications.

What are the optimal protocols for assessing atpF contribution to B. adolescentis colonization in gut models?

Assessing the contribution of ATP synthase subunit b (atpF) to B. adolescentis colonization in gut models requires a multi-faceted approach:

  • Genetic manipulation strategies:

    • CRISPR-Cas9 gene editing for atpF knockout/knockdown

    • Inducible expression systems to modulate atpF levels

    • Site-directed mutagenesis to create point mutations in functional domains

  • In vitro continuous culture systems:

    • Single-stage chemostats mimicking specific gut regions

    • Multi-stage gut simulators replicating different intestinal compartments

    • Inclusion of relevant prebiotics and pH control to model different gut conditions

  • Quantification methods:

    • Strain-specific quantitative PCR for absolute quantification

    • Fluorescent labeling for direct visualization in complex communities

    • Competitive index calculations comparing wild-type to atpF-modified strains

  • In vivo colonization models:

    • Gnotobiotic mice with defined microbial communities

    • DSS-induced colitis models to assess colonization during inflammation

    • Recovery and enumeration protocols from different intestinal segments

  • Functional correlates:

    • Metabolomic analysis of short-chain fatty acids and other metabolites

    • Transcriptomics to assess host response to colonization

    • Immunological parameters including regulatory T cell populations and cytokine profiles

The experimental design should include appropriate controls, such as complemented strains to confirm phenotype specificity to atpF modification. Time-course experiments are essential to distinguish between initial colonization efficiency and long-term persistence, with sampling at multiple timepoints (24h, 72h, 7 days) providing comprehensive colonization dynamics.

How can researchers effectively distinguish between atpF-specific effects and general ATP synthase complex functions?

Distinguishing between atpF-specific effects and general ATP synthase complex functions requires carefully designed experimental approaches:

  • Comparative mutagenesis strategy:

    • Create a panel of strains with mutations in different ATP synthase subunits (atpF, atpH, atpA, etc.)

    • Design mutations targeting specific interfaces between atpF and other subunits

    • Create chimeric proteins swapping domains between atpF and related proteins

  • Domain-specific functional analysis:

    • Express isolated domains of atpF to identify which regions mediate specific functions

    • Perform complementation studies with domain-swapped variants

    • Use peptide inhibitors targeting specific interaction surfaces

  • Controlled energetic state experiments:

    • Compare phenotypes under conditions where ATP synthase function is either essential or dispensable

    • Use alternative energy sources that bypass oxidative phosphorylation

    • Apply specific inhibitors of different ATP synthase components

  • Protein-protein interaction mapping:

    • Use proximity labeling techniques (BioID, APEX) with atpF as the bait

    • Perform quantitative interaction proteomics across different conditions

    • Map interaction networks specific to atpF versus other ATP synthase subunits

  • Comparative phenotypic analysis:

    PhenotypeatpF-specific measurementControl measurement
    Growth rateatpF mutant strainOther ATP synthase subunit mutants
    Stress resistanceTargeted atpF domain mutationsGlobal ATP synthesis inhibition
    Immune modulationPurified atpF protein applicationWhole ATP synthase complex application
    Metabolite productionConditional atpF expressionMetabolic bypass of ATP synthase

This systematic approach can reveal functions that specifically depend on atpF beyond its structural role in the ATP synthase complex, potentially identifying novel therapeutic targets or mechanisms of probiotic action.

What analytical techniques are most sensitive for measuring ATP synthase activity alterations in B. adolescentis under different gut conditions?

Measuring ATP synthase activity in B. adolescentis under different gut conditions requires sensitive techniques that account for the anaerobic nature and complex gut environment:

  • Luciferase-based ATP quantification:

    • Most sensitive approach for detecting ATP levels (detection limit ~10⁻¹⁸ moles)

    • Can be adapted for real-time measurements in cell suspensions

    • Requires careful sample preparation to prevent ATP degradation

    • Optimal for comparing relative ATP production across conditions

  • Membrane potential measurements:

    • Fluorescent probes (DiSC3(5), JC-1) measure proton motive force

    • Directly correlates with ATP synthase function

    • Can be performed on intact cells without disruption

    • Provides real-time kinetic data on ATP synthase activity

  • Oxygen consumption/hydrogen production analysis:

    • Clark-type electrodes or optical sensors for oxygen (for microaerobic conditions)

    • Hydrogen sensors for anaerobic conditions

    • Provides functional assessment of the complete electron transport chain

    • Can incorporate specific inhibitors to isolate ATP synthase contribution

  • Radiolabeled ADP incorporation assays:

    • Measures direct ATP synthesis with high sensitivity

    • Requires isolation of membrane vesicles or proteoliposomes

    • Provides absolute quantification of synthesis rates

    • Can distinguish between synthesis and hydrolysis activities

  • pH change measurements in reconstituted systems:

    • Monitors proton translocation coupled to ATP synthesis/hydrolysis

    • Requires careful buffer selection to maximize sensitivity

    • Can be performed with purified components to isolate specific effects

For simulating different gut conditions, researchers should consider:

  • Varying pH ranges (5.5-7.5) corresponding to different intestinal segments

  • Oxygen gradients from microaerobic to strictly anaerobic

  • Bile acid concentrations mimicking small intestine vs. colon

  • Inclusion of relevant carbohydrate sources and fermentation products

  • Inflammation-associated factors (cytokines, reactive oxygen species)

Combined, these techniques provide comprehensive assessment of ATP synthase function across physiologically relevant conditions.

How should contradictory findings regarding B. adolescentis atpF function across different experimental models be reconciled?

Reconciling contradictory findings regarding B. adolescentis ATP synthase subunit b (atpF) function across experimental models requires systematic analysis of potential confounding variables:

  • Strain-specific genetic variations:

    • Complete genome sequencing to identify background mutations

    • Comparative genomics across B. adolescentis strains used in different studies

    • Standardization with reference strains like B. adolescentis AF91-08b2A

  • Methodological differences analysis:

    • Create a detailed methodological database across studies

    • Perform sensitivity analysis on key experimental parameters

    • Conduct multi-laboratory validation studies with standardized protocols

  • Model-dependent context evaluation:

    • Classify findings based on experimental model complexity

    • Develop hierarchical framework weighing evidence from different models

    • Identify which contradictions are model-dependent versus fundamental disagreements

  • Statistical approach to conflicting data:

    • Meta-analysis techniques to quantitatively assess effect sizes

    • Bayesian analysis incorporating prior probability of mechanisms

    • Power calculations to determine if negative findings are conclusive

  • Controlled mediating variables:

    VariablePotential impactStandardization approach
    Growth phaseATP demand varies with growth stageSynchronize cultures or use continuous culture
    Media compositionAffects expression of ATP synthase genesDefine minimal required media components
    Oxygen exposureCan damage anaerobic enzymesStandardize anaerobic techniques
    Host genetic backgroundInfluences colonization and immune responseUse defined genetic backgrounds or human explants
    Microbiome contextAffects B. adolescentis metabolismUse defined microbial communities
  • Integration framework:

    • Develop mechanistic models that can accommodate seemingly contradictory observations

    • Identify conditional factors that determine when specific mechanisms predominate

    • Establish threshold conditions where function switches between alternative modes

This systematic approach helps distinguish true contradictions requiring paradigm revision from apparent contradictions due to context-dependent mechanisms or methodological differences.

What bioinformatics pipelines are most effective for analyzing atpF sequence variation across clinical B. adolescentis isolates?

For analyzing atpF sequence variation across clinical B. adolescentis isolates, a comprehensive bioinformatics pipeline should include:

  • Sequence acquisition and quality control:

    • Whole genome sequencing (Illumina short-read with >30x coverage)

    • Long-read sequencing (PacBio/Nanopore) for complete operon structure

    • Quality filtering with FASTQC and Trimmomatic

    • Assembly using SPAdes or MEGAHIT optimized for bacterial genomes

  • Gene identification and annotation:

    • Prokka for initial annotation with custom Bifidobacterium database

    • BLAST/DIAMOND comparison against curated atpF sequences

    • Structural annotation with TMHMM for transmembrane domain prediction

    • Functional domain annotation with InterProScan

  • Comparative genomics:

    • Multiple sequence alignment with MAFFT or Clustal Omega

    • Phylogenetic analysis using RAxML or IQ-TREE with appropriate evolutionary models

    • Detection of recombination events using ClonalFrameML

    • Selection pressure analysis using PAML or HyPhy

  • Structural variation detection:

    • Identification of insertions/deletions using Pindel

    • Copy number variation analysis with CNVnator

    • Operon structure analysis comparing synteny across isolates

    • Promoter region analysis for regulatory variations

  • Clinical correlation analysis:

    • Association testing between sequence variants and disease phenotypes

    • Machine learning approaches (random forest, SVM) for variant classification

    • Network analysis integrating atpF variants with other genetic factors

    • Longitudinal analysis tracking variant dynamics during disease progression

  • Visualization and interpretation:

    • Interactive visualization with Microreact or Phandango

    • Protein structure modeling with AlphaFold to assess mutation impacts

    • Metabolic modeling incorporating ATP synthase variation using COBRA

    • Integrated reports combining genetic, structural, and clinical data

This comprehensive pipeline enables researchers to identify clinically relevant atpF variations that might affect B. adolescentis function in healthy versus diseased states, potentially identifying targets for strain optimization in probiotic applications.

How can researchers design experiments to definitively establish causality between atpF function and observed probiotic effects?

Establishing causality between B. adolescentis ATP synthase subunit b (atpF) function and observed probiotic effects requires a multi-layered experimental approach:

  • Genetic manipulation framework:

    • Create isogenic mutants differing only in atpF (knockout, point mutations, expression level variants)

    • Complement mutants with wild-type atpF to verify phenotype restoration

    • Develop inducible expression systems to modulate atpF levels temporally

    • Engineer atpF variants with altered functions but maintained structure

  • Dose-response relationship establishment:

    • Titrate atpF expression levels using controlled promoters

    • Correlate expression level with probiotic effect magnitude

    • Determine threshold levels required for therapeutic benefits

    • Demonstrate saturation effects at high expression levels

  • Temporal relationship demonstration:

    • Use time-course experiments with synchronized atpF expression

    • Apply atpF inhibitors at different disease stages

    • Utilize rapid degradation systems for temporal control

    • Monitor real-time changes following atpF modulation

  • Mechanism isolation:

    • Create chimeric bacteria with B. adolescentis atpF in non-probiotic species

    • Isolate specific atpF-dependent metabolites for direct application

    • Test purified atpF protein for direct immunomodulatory effects

    • Employ trans-well systems to distinguish contact-dependent from secreted factors

  • In vivo verification with controls:

    • Use multiple animal models (DSS-colitis, T-cell transfer, IL-10 knockout)

    • Include non-ATP synthase mutants as controls for general energy deficit

    • Perform microbiome transplantation to assess indirect effects

    • Conduct tissue-specific response analysis (immune cells, epithelial cells)

  • Biomarker correlation:

    • Identify atpF-specific signature using multi-omics approaches

    • Develop biosensors reporting on atpF activity in vivo

    • Correlate atpF function with tight junction protein expression (ZO-1, occludin, claudin-2)

    • Monitor cytokine profiles (IL-6, IL-1β, IL-17A, IFN-γ, TNF-α, IL-4, IL-10, TGF-β1)

This comprehensive approach addresses Bradford Hill criteria for causality, including strength of association, consistency, specificity, temporality, biological gradient, plausibility, coherence, and experimental evidence.

What emerging technologies could revolutionize our understanding of B. adolescentis atpF function in gut health?

Several cutting-edge technologies hold promise for transforming our understanding of B. adolescentis ATP synthase subunit b (atpF) function in gut health:

  • CRISPR-based technologies:

    • CRISPRi for tunable repression of atpF expression

    • Base editors for precise point mutations without double-strand breaks

    • CRISPR-Cas13 for RNA targeting to modulate atpF post-transcriptionally

    • CRISPR screening in gut organoid co-cultures to identify host-microbe interactions

  • Advanced imaging technologies:

    • Super-resolution microscopy to visualize ATP synthase distribution in live bacteria

    • Correlative light and electron microscopy (CLEM) to link function with ultrastructure

    • Cryo-electron tomography for in situ visualization of ATP synthase complexes

    • Expansion microscopy to resolve molecular details of bacterial-host interfaces

  • Single-cell technologies:

    • Bacterial single-cell RNA-seq to capture heterogeneity in atpF expression

    • Single-cell proteomics to quantify ATP synthase components at individual cell level

    • Microfluidic devices for real-time monitoring of single bacterial responses

    • Spatial transcriptomics to map bacterial gene expression in intact gut tissues

  • Synthetic biology approaches:

    • Engineered B. adolescentis with biosensors reporting on ATP synthase activity

    • Synthetic microbial communities with defined atpF variants

    • Cell-free systems reconstituting ATP synthase function for high-throughput studies

    • Biorthogonal chemistry for in vivo labeling and tracking of ATP synthase components

  • Advanced computational methods:

    • Deep learning models predicting atpF function from sequence

    • Molecular dynamics simulations of complete ATP synthase in membrane environments

    • Metabolic modeling incorporating host-microbe metabolic exchanges

    • Network analysis integrating multi-omics data to identify atpF-dependent pathways

  • Translational approaches:

    • Patient-derived gut organoids for personalized study of B. adolescentis interactions

    • Engineered probiotic strains with optimized atpF for enhanced therapeutic effects

    • Biomarker development for monitoring ATP synthase function in clinical samples

    • Non-invasive imaging methods to track labeled B. adolescentis in human subjects

These technologies, especially when used in combination, promise to bridge current knowledge gaps between molecular function and clinical outcomes in the study of B. adolescentis atpF's role in gut health.

How might evolutionary analysis of atpF across Bifidobacterium species inform therapeutic applications?

Evolutionary analysis of ATP synthase subunit b (atpF) across Bifidobacterium species offers valuable insights for therapeutic applications:

  • Phylogenetic profiling approaches:

    • Construct comprehensive phylogenetic trees of atpF across Bifidobacterium species

    • Correlate evolutionary distance with niche specialization (infant gut, adult gut, etc.)

    • Identify convergent evolution patterns in species with similar probiotic properties

    • Map selection pressures on specific domains to identify functionally critical regions

  • Sequence-function relationships:

    • Compare atpF sequences from species with strong versus weak anti-inflammatory effects

    • Identify conserved motifs in species showing enhanced gut barrier protection

    • Analyze coevolution of atpF with other ATP synthase components

    • Develop predictive models correlating sequence features with probiotic potency

  • Host adaptation signatures:

    • Identify host-specific adaptations in atpF sequences (human vs. animal-associated strains)

    • Analyze rate of evolution in different gut environments (healthy vs. IBD)

    • Detect horizontal gene transfer events that might confer enhanced functions

    • Map microbiome context-dependent selection pressures

  • Therapeutic design applications:

    • Engineer chimeric atpF proteins incorporating beneficial features from multiple species

    • Design narrow-spectrum antimicrobials targeting atpF in pathogenic species while sparing beneficial Bifidobacteria

    • Develop predictive screening tools to identify Bifidobacterium strains with optimal atpF functions

    • Create optimized consortia of Bifidobacterium species with complementary atpF functions

  • Coevolutionary network analysis:

    • Study coevolution between atpF and interacting proteins

    • Identify compensatory mutations that maintain ATP synthase function

    • Map epistatic interactions within the ATP synthase operon

    • Analyze coevolution with host factors that might interact with bacterial ATP synthase

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