KEGG: mrd:Mrad2831_0929
STRING: 426355.Mrad2831_0929
UPF0060 membrane protein Mrad2831_0929 (UniProt ID: B1LZP1) is a 106-amino acid transmembrane protein derived from the bacterium Methylobacterium radiotolerans. The protein belongs to the UPF0060 family of uncharacterized membrane proteins with a conserved domain structure across bacterial species. The full amino acid sequence is MSLLAYAAAALAEIAGCFAFWAWMRLGRSAWWTLPGLASLAAFAALLTLVDSPAAGRTFAAYGGVYVAASVLWLWLAEGQRPDRWDLAGSAVCLAGTALILLGRRG, which demonstrates the hydrophobic nature characteristic of membrane proteins . This protein contains multiple transmembrane segments that facilitate its integration into cellular membranes, making it a valuable model for studying membrane protein biology. The recombinant version is typically expressed with an N-terminal His-tag to facilitate purification and downstream applications . The protein's structural characteristics suggest potential roles in membrane transport or signaling, though specific functions remain under investigation.
The Mrad2831_0929 protein exhibits structural features typical of the UPF0060 family, including multiple hydrophobic transmembrane regions that anchor the protein within cellular membranes. Sequence analysis indicates the presence of several alpha-helical transmembrane domains characteristic of integral membrane proteins. The protein maintains the conserved UPF0060 domain with significant sequence homology to other family members, particularly in the transmembrane regions. Structural prediction models suggest that Mrad2831_0929 adopts a conformation with hydrophobic residues oriented toward the lipid bilayer and hydrophilic residues facing the aqueous environment. The N-terminal and C-terminal regions likely contain charged residues that interact with the cytoplasmic or extracellular environment. Comparative analysis with other UPF0060 family members reveals conserved motifs that may be essential for function, though variations in the connecting loops between transmembrane segments could account for species-specific roles or interactions.
The recombinant Mrad2831_0929 protein is typically produced through heterologous expression in E. coli expression systems, with the full-length protein (amino acids 1-106) fused to an N-terminal His-tag to facilitate purification . The expression strategy often employs specialized E. coli strains such as Lemo21(DE3), which offers tunable expression levels particularly advantageous for membrane proteins . The Lemo21(DE3) strain expresses a T7 RNA polymerase inhibitor protein (LysY) that allows precise regulation of target gene transcription, helping to prevent protein aggregation and misfolding that commonly occurs with membrane proteins . Following expression, purification typically involves cell lysis under conditions that maintain membrane protein integrity, followed by detergent solubilization to extract the protein from membranes. The His-tagged protein is then isolated using immobilized metal affinity chromatography (IMAC), followed by size exclusion chromatography to enhance purity. The purified protein is often provided as a lyophilized powder with greater than 90% purity as determined by SDS-PAGE . For reconstitution, the protein is dissolved in a deionized sterile water to a concentration of 0.1-1.0 mg/mL, often with 5-50% glycerol added for long-term storage stability .
The expression of membrane proteins like Mrad2831_0929 requires careful optimization to maintain structural integrity while achieving sufficient yield. The primary consideration is to express membrane proteins in moderation to avoid oversaturation of the membrane protein biogenesis pathway, which can lead to protein aggregation, misfolding, inclusion body formation, and even cell death . For optimal results, researchers should utilize the Lemo21(DE3) expression system, which allows for tunable expression through the LysY inhibitor of T7 RNA polymerase . This system permits precise control over expression levels, with the counterintuitive finding that for membrane proteins, lower expression rates often result in more functional protein with proper folding and membrane integration . Temperature optimization is critical, with lower temperatures (16-25°C) generally favoring proper folding over rapid production. Induction protocols should be carefully titrated, often using lower concentrations of IPTG (0.05-0.5 mM) for gentler induction. The composition of the growth media should include appropriate osmolytes and supplements to support membrane protein folding. Additionally, co-expression with molecular chaperones may enhance the yield of properly folded Mrad2831_0929, particularly when combined with optimized detergent selection during purification stages.
Designing experiments to investigate the function of an uncharacterized membrane protein like Mrad2831_0929 requires a multi-faceted approach combining structural, biochemical, and genetic analyses. A true experimental design approach would involve generating testable hypotheses about the protein's function based on sequence homology, structural predictions, and phylogenetic analysis . Researchers should establish experimental and control groups, with the experimental variable being the manipulation of Mrad2831_0929 (through overexpression, knockout, or mutation) . Gene deletion or CRISPR-Cas9 mediated knockout studies in Methylobacterium radiotolerans can provide insights into phenotypic changes associated with loss of function. Complementation studies, where the wild-type gene is reintroduced into knockout strains, can confirm phenotype specificity. Site-directed mutagenesis targeting conserved residues can identify functionally important domains. Protein-protein interaction studies using techniques such as bacterial two-hybrid systems, co-immunoprecipitation, or proximity labeling can identify binding partners that hint at functional pathways. Reconstitution of purified Mrad2831_0929 into liposomes for transport or channel activity assays may reveal roles in membrane permeability. Additionally, localization studies using fluorescent protein fusions or immunofluorescence can determine the subcellular distribution, providing clues to function.
Multiple complementary analytical methods should be employed to comprehensively characterize the structural dynamics of membrane proteins like Mrad2831_0929. Circular dichroism (CD) spectroscopy provides valuable information about secondary structure content and stability under various conditions, allowing researchers to assess the alpha-helical content expected in transmembrane domains. Nuclear magnetic resonance (NMR) spectroscopy, particularly solution NMR with isotopically labeled protein, can provide atomic-level information about protein structure and dynamics, including conformational changes in response to ligands or environment. Hydrogen-deuterium exchange mass spectrometry (HDX-MS) offers insights into solvent accessibility and conformational flexibility of different protein regions. Cryo-electron microscopy (cryo-EM) has emerged as a powerful technique for membrane protein structure determination, especially for proteins that resist crystallization. Molecular dynamics (MD) simulations complement experimental data by modeling protein behavior in membrane environments over time scales not accessible to experimental techniques. Fluorescence spectroscopy methods, including FRET (Förster Resonance Energy Transfer) with strategically placed fluorophores, can monitor conformational changes in real-time. For higher resolution structural information, X-ray crystallography remains valuable but requires optimization of crystallization conditions specifically for membrane proteins, often involving lipidic cubic phase or bicelle crystallization methods.
Determining the membrane topology of Mrad2831_0929 requires a combination of computational prediction and experimental validation approaches. Computational prediction using algorithms such as TMHMM, Phobius, and TOPCONS provides initial models of transmembrane domain organization, but experimental validation is essential for confirmation. The PhoA fusion approach represents a classical method, where the protein of interest is fused with alkaline phosphatase (PhoA) at various positions; PhoA is only active when located in the periplasm, allowing determination of which segments face the periplasmic space. Similarly, the GFP fusion approach utilizes the principle that green fluorescent protein (GFP) only folds correctly in the cytoplasm, thus providing complementary information to PhoA fusions. Cysteine scanning mutagenesis coupled with accessibility assays involves introducing cysteine residues at various positions and then assessing their accessibility to membrane-impermeable sulfhydryl reagents. Protease protection assays can identify regions protected by the membrane from proteolytic digestion. Mass spectrometry-based techniques, particularly those involving limited proteolysis followed by identification of protected fragments, provide high-resolution information about membrane-embedded regions. Electron paramagnetic resonance (EPR) spectroscopy using site-directed spin labeling can provide detailed information about the local environment of specific residues and their degree of solvent exposure.
Maintaining the stability of membrane proteins like Mrad2831_0929 during extraction and purification presents significant challenges due to their hydrophobic nature and dependency on the lipid environment. Optimization of detergent selection is critical, with mild non-ionic detergents like DDM (n-dodecyl-β-D-maltoside) or LMNG (lauryl maltose neopentyl glycol) often providing a good balance between extraction efficiency and protein stability. Screening multiple detergents at various concentrations is recommended to identify optimal conditions for each specific membrane protein. The inclusion of lipids during purification, either as a lipid supplement in detergent micelles or through the use of lipid nanodiscs or amphipols, can significantly enhance stability by mimicking the native membrane environment. Buffer optimization should include careful selection of pH, ionic strength, and additives such as glycerol (5-50%) or specific ions that may stabilize the protein structure. Temperature control throughout the purification process is essential, with all steps typically performed at 4°C to minimize protein degradation. Protease inhibitors should be included in all buffers to prevent degradation by endogenous proteases released during cell lysis. For long-term storage, lyophilization in appropriate buffer conditions with cryoprotectants like trehalose (6%) has proven effective, with the recommendation to avoid repeated freeze-thaw cycles and store working aliquots at 4°C for up to one week .
Molecular dynamics (MD) simulations offer powerful insights into membrane protein behavior that complement experimental approaches, particularly for challenging systems like Mrad2831_0929 where high-resolution structural data may be limited. MD simulations enable the modeling of protein-lipid interactions by placing the predicted structure of Mrad2831_0929 into a simulated lipid bilayer environment that mimics the native bacterial membrane composition. This approach reveals how specific lipid types influence protein stability, conformation, and potentially function. Simulations can predict conformational changes and flexibility by sampling the conformational landscape over nanosecond to microsecond timescales, identifying regions of high mobility that may be functionally significant and suggesting potential mechanisms of action. For proteins with potential channel or transporter functions, MD simulations can model substrate binding sites and translocation pathways by introducing potential substrates into the simulation system and observing interactions with the protein. Water permeation pathways through the protein can be visualized and quantified, providing evidence for channel functionality. Electrostatic surface mapping generated through simulations can identify potential interaction sites for binding partners or substrates. Advanced techniques such as steered molecular dynamics can estimate energy barriers for conformational changes or substrate translocation. The data generated from these simulations can be validated through experimental approaches such as mutagenesis studies, where residues predicted to be important from simulations can be altered and functional consequences measured.
Identifying binding partners or substrates for an uncharacterized membrane protein like Mrad2831_0929 requires a multi-faceted approach combining computational prediction with experimental validation. Computational methods should begin with bioinformatic analysis of conserved domains and sequence motifs that might suggest binding capabilities, followed by structural homology modeling to identify potential binding pockets. Docking simulations with libraries of small molecules can predict potential substrates based on binding energy calculations. Experimental validation should employ affinity-based methods such as pull-down assays using the His-tagged recombinant protein as bait to capture interacting proteins from bacterial lysates, followed by mass spectrometry identification. Chemical cross-linking coupled with mass spectrometry (XL-MS) can capture transient interactions and provide spatial constraints on binding interfaces. Bacterial two-hybrid or split-ubiquitin membrane yeast two-hybrid systems are particularly useful for membrane proteins to screen for protein-protein interactions in vivo. Surface plasmon resonance (SPR) or microscale thermophoresis (MST) can provide quantitative binding parameters for candidate interactions. Functional assays in reconstituted systems, such as proteoliposomes containing purified Mrad2831_0929, can test transport activity with various potential substrates. Genetic approaches, including suppressor screens or synthetic genetic array analysis, can identify functional relationships that suggest physical interactions. Differential expression analysis comparing wild-type and Mrad2831_0929 knockout strains may reveal metabolic pathways affected by the protein's absence, pointing to potential substrates or functional partners.
Elucidating the three-dimensional structure of membrane proteins like Mrad2831_0929 presents unique challenges that require specialized structural biology approaches. X-ray crystallography remains a gold standard but requires production of diffraction-quality crystals, which is particularly challenging for membrane proteins. Specialized crystallization methods such as lipidic cubic phase (LCP) crystallization or the use of crystallization chaperones (e.g., antibody fragments) can improve success rates by stabilizing the protein in a native-like environment. Cryo-electron microscopy (cryo-EM) has revolutionized membrane protein structural biology, allowing structure determination without crystallization. For smaller proteins like Mrad2831_0929 (106 amino acids) , techniques such as scaffolding with larger proteins or analysis of oligomeric assemblies can overcome size limitations. Nuclear magnetic resonance (NMR) spectroscopy is particularly suitable for smaller membrane proteins and can provide not only structural information but also dynamics data. Solution NMR requires detergent-solubilized protein, while solid-state NMR can analyze proteins in lipid bilayers. Electron paramagnetic resonance (EPR) with site-directed spin labeling provides valuable distance constraints and environmental information about specific residues. Hydrogen-deuterium exchange mass spectrometry (HDX-MS) offers insights into protein dynamics and solvent accessibility. Integrative structural biology approaches combining multiple low-resolution techniques with computational modeling often yield the most complete structural models. For all these methods, protein engineering strategies such as thermostabilizing mutations, fusion to crystallization chaperones, or removal of flexible regions may be necessary to obtain stable, homogeneous samples suitable for structural analysis.
When confronted with contradictory results in functional studies of Mrad2831_0929, researchers should implement a systematic analytical framework to resolve discrepancies and advance understanding. The first step involves meticulously documenting all experimental variables across contradictory studies, including expression systems, buffer compositions, detergent types, temperature conditions, and membrane mimetics used. These factors significantly impact membrane protein behavior and could explain apparent contradictions. Technical validation is essential, with independent verification of protein identity and integrity through mass spectrometry, N-terminal sequencing, and Western blotting to confirm that the authentic, full-length protein was studied. Functional heterogeneity should be considered, as membrane proteins often exist in multiple conformational states with different functional properties; techniques such as native gel electrophoresis or analytical ultracentrifugation can assess conformational homogeneity. The impact of the purification tag (such as the His-tag commonly used with Mrad2831_0929) should be evaluated, as tags can sometimes interfere with function or cause artifacts. Experimental design differences, including statistical power, control selections, and measurement sensitivity, should be compared between studies. Biological context variations, particularly differences in lipid environment or the presence of unidentified cofactors, can dramatically alter membrane protein function. When contradictions persist despite these analyses, researchers should design critical experiments specifically to address the contradiction, such as testing conditional hypotheses that might reconcile opposing results (e.g., pH-dependent or lipid-dependent functional switches).
Statistical analysis of membrane protein expression data requires specialized approaches that account for the unique challenges associated with membrane protein biochemistry. Researchers should begin with robust experimental design incorporating appropriate biological and technical replicates (minimum n=3 for each condition) to enable meaningful statistical analysis. Power analysis should be conducted a priori to determine sample sizes needed to detect biologically significant effects with confidence. Data normalization is particularly important for membrane proteins due to variable extraction efficiencies; normalization to total protein content, house-keeping membrane proteins, or known reference standards improves comparability across experiments. For expression optimization experiments involving multiple variables (e.g., induction temperature, inducer concentration, detergent type), factorial design approaches with ANOVA or mixed-effects models allow simultaneous evaluation of multiple factors and their interactions. Non-parametric tests such as Mann-Whitney U or Kruskal-Wallis are often more appropriate than parametric tests for membrane protein data, which frequently does not meet assumptions of normal distribution due to the complex nature of membrane protein expression and folding. Correlation analyses between expression levels and functional parameters provide insights into structure-function relationships. When analyzing expression systems for Mrad2831_0929, researchers should employ multivariate analysis techniques such as principal component analysis (PCA) or partial least squares regression to identify patterns in complex datasets with multiple variables. For time-course expression data, repeated measures ANOVA or longitudinal data analysis methods account for time-dependent changes in expression levels.
Poor expression or misfolding of membrane proteins like Mrad2831_0929 in bacterial systems represents a common challenge that can be addressed through multiple strategic approaches. Optimizing expression strain selection is fundamental, with the Lemo21(DE3) strain highly recommended for membrane proteins as it allows tunable expression levels through the LysY inhibitor of T7 RNA polymerase . This system addresses the counterintuitive finding that for membrane proteins, lower expression often yields more properly folded, functional protein by preventing saturation of the membrane protein biogenesis pathway . Expression vector optimization should include evaluation of different promoter strengths, codon optimization for E. coli, and consideration of fusion tags that enhance folding or solubility. Induction protocol modification is essential, with lower temperatures (16-25°C), reduced inducer concentrations, and extended expression times generally improving membrane protein folding. The addition of specific membrane protein folding enhancers such as betaine, sorbitol, or glycerol to the culture medium can stabilize folding intermediates. Co-expression with molecular chaperones or folding modulators (such as DnaK-DnaJ-GrpE or GroEL-GroES systems) can dramatically improve folding outcomes. For severely problematic proteins, cell-free expression systems provide an alternative approach that bypasses cellular toxicity issues. Fusion to well-expressed membrane proteins or the addition of solubilizing partners can sometimes rescue expression. If E. coli consistently fails to produce properly folded protein despite optimization efforts, alternative expression hosts such as yeast (Pichia pastoris) or insect cells may be more successful for certain membrane proteins.
Overcoming solubility and stability issues during purification and characterization of Mrad2831_0929 requires systematic optimization of multiple parameters throughout the purification workflow. Detergent screening is fundamental, as the choice of detergent dramatically impacts membrane protein stability; researchers should test a panel of detergents varying in head group chemistry and acyl chain length, including newer classes like maltose neopentyl glycols or facial amphiphiles that often better preserve membrane protein structure. Buffer optimization should explore pH ranges (typically pH 6.5-8.5 for most membrane proteins), salt concentrations (100-500 mM), and various stabilizing additives such as glycerol (5-50% as recommended for Mrad2831_0929) or specific lipids that might be required for structural integrity. Temperature control is critical, with all purification steps generally performed at 4°C to minimize thermal denaturation. The addition of ligands or substrates during purification can stabilize certain conformational states. Alternative solubilization and purification strategies include the use of styrene maleic acid lipid particles (SMALPs), nanodiscs, or amphipols, which maintain a lipid environment around the protein. Protein engineering approaches such as thermostabilizing mutations, removal of flexible regions, or fusion to stabilizing partners can enhance protein stability. For long-term storage, the addition of cryoprotectants such as trehalose (6% as used for Mrad2831_0929) helps maintain protein structure during freeze-thaw cycles. When preparing for specific analytical techniques, method-specific optimizations are necessary; for example, selecting detergents compatible with mass spectrometry or adjusting conditions for maximum stability during crystallization attempts.
Research on Mrad2831_0929 and similar membrane proteins holds significant biotechnological potential across multiple domains of application. In biosensor development, the protein could be engineered as a sensing element for environmental monitoring or diagnostic applications, particularly if it demonstrates specificity for certain molecules or ions. The hydrophobic nature and membrane integration properties could be exploited for the development of biomimetic membranes and functional surface coatings with selective permeability properties. If functional studies reveal transport or channel activity, the protein could serve as a template for designing artificial channels or transporters with tailored specificities. From a structural biology perspective, the protein represents a valuable model system for studying membrane protein folding and stability, potentially contributing to the development of improved membrane protein expression and stabilization technologies applicable across the field. The bacterial origin of the protein makes it relevant for antimicrobial drug development research, particularly if it proves essential for bacterial survival or virulence. In synthetic biology applications, the protein could function as a building block for creating artificial cellular compartments or membrane-bound reaction centers. Knowledge gained about the protein's structure and function could inform protein engineering efforts to create novel membrane proteins with desired properties for biotechnology applications. Additionally, as part of the broader field of membrane protein research, studies on Mrad2831_0929 contribute to fundamental understanding that underpins numerous biotechnological applications dependent on membrane proteins.
Investigating the physiological role of Mrad2831_0929 in Methylobacterium radiotolerans represents a compelling frontier requiring integrated approaches spanning molecular, cellular, and systems biology. Gene knockout studies using CRISPR-Cas9 or traditional homologous recombination would provide fundamental insights into the essentiality of the gene and phenotypic consequences of its deletion under various growth conditions. Complementary to this, overexpression studies would reveal potential gain-of-function phenotypes or toxicity effects. Transcriptomic and proteomic profiling comparing wild-type and Mrad2831_0929 mutant strains under various environmental conditions (including stressors like radiation, given the radiotolerance of the host organism) would identify co-regulated genes and proteins, suggesting functional pathways. Metabolomic analysis could reveal specific metabolic alterations in Mrad2831_0929 mutants, potentially identifying substrates or products affected by the protein's activity. Localization studies using fluorescent protein fusions or immunofluorescence would determine the subcellular distribution pattern, providing clues to function. Physiological assays examining changes in membrane potential, ion flux, or specific transport activities in mutant versus wild-type cells could identify functional roles. Comparative genomic analysis across Methylobacterium species and other alphaproteobacteria would establish evolutionary conservation patterns and potential functional associations through gene neighborhood analysis. Environmental adaptation studies examining expression levels under different growth conditions or stressors could reveal regulation patterns informative of function. Interactome studies identifying protein-protein interaction networks would place Mrad2831_0929 in its cellular context.
Researchers working with Mrad2831_0929 should adhere to a comprehensive set of methodological best practices to ensure reproducible and meaningful results. Expression optimization should begin with the Lemo21(DE3) strain, which offers tunable expression specifically beneficial for membrane proteins like Mrad2831_0929 . This system allows precise control over expression levels through the LysY inhibitor, addressing the paradoxical finding that lower expression rates often yield higher amounts of functional membrane protein . Quality control measures should be implemented at each stage, including verification of construct accuracy by sequencing, confirmation of protein identity through mass spectrometry, and assessment of protein homogeneity via size exclusion chromatography and analytical ultracentrifugation. Researchers should maintain meticulous documentation of all experimental conditions, including detailed buffer compositions, temperatures, incubation times, and detergent concentrations, as these parameters significantly impact membrane protein behavior. Proper storage procedures are essential, with the recommended approach being aliquoting with 5-50% glycerol and storage at -20°C/-80°C, avoiding repeated freeze-thaw cycles . Working aliquots should be kept at 4°C for no more than one week to maintain protein integrity . Functional assays should include appropriate positive and negative controls, with careful consideration of the lipid environment that may be critical for proper function. Purification protocols should incorporate multiple orthogonal techniques to ensure high purity, with verification by SDS-PAGE showing greater than 90% purity . When reconstituting the lyophilized protein, researchers should follow the recommended procedure of brief centrifugation prior to opening, followed by reconstitution in deionized sterile water to a concentration of 0.1-1.0 mg/mL .
Despite advances in membrane protein research, significant knowledge gaps remain regarding Mrad2831_0929 that warrant focused investigation through coordinated research efforts. The fundamental physiological function of Mrad2831_0929 remains undetermined, representing the most critical knowledge gap; comprehensive phenotypic analysis of knockout mutants under various conditions coupled with complementation studies would provide valuable insights. The three-dimensional structure has not been experimentally determined, limiting mechanistic understanding; application of advanced structural biology techniques including cryo-EM, NMR spectroscopy, or X-ray crystallography would address this gap. The evolutionary conservation pattern and potential horizontal gene transfer events involving this gene across bacterial species remain incompletely characterized, highlighting the need for comprehensive phylogenomic analysis. The regulation of Mrad2831_0929 expression in response to environmental conditions and stress factors is poorly understood; transcriptomic and proteomic studies under various conditions would illuminate regulatory mechanisms. Potential interaction partners and protein complexes involving Mrad2831_0929 have not been systematically identified; interactome studies using approaches such as proximity labeling would reveal the protein's functional network. If the protein functions as a transporter or channel, the substrate specificity and transport mechanism remain to be elucidated through reconstitution studies with potential substrates. The contribution of Mrad2831_0929 to the radio-tolerance phenotype of Methylobacterium radiotolerans has not been investigated, despite the potential relevance given the organism's name. The post-translational modifications and their functional significance for this protein remain unexplored, pointing to the need for detailed proteomic characterization of the native protein.
The experimental design for research involving membrane proteins like Mrad2831_0929 should follow systematic approaches that account for their unique biochemical properties. True experimental designs should include randomized assignment of samples to different treatment conditions to minimize bias, with appropriate controls for each experimental variable . When investigating expression conditions, researchers should employ quasi-experimental designs with multiple variables tested simultaneously, including temperature, inducer concentration, and expression duration . For functional characterization, pre-experimental designs such as case studies with detailed observation of individual preparations can provide valuable initial insights before scaling to larger experiments . Statistical analysis should incorporate appropriate methods for the specific experimental design, with consideration of sample size requirements for adequate statistical power. The table below summarizes recommended experimental approaches for different research objectives:
| Research Objective | Experimental Design Type | Key Considerations | Statistical Approach |
|---|---|---|---|
| Expression Optimization | Quasi-Experimental | Factorial design testing multiple variables | ANOVA, response surface methodology |
| Functional Characterization | True Experimental | Control and treatment groups with randomization | t-tests, ANOVA with post-hoc analysis |
| Structural Analysis | Pre-Experimental to True Experimental | Initial case studies followed by systematic condition screening | Descriptive statistics to inferential statistics |
| Protein-Protein Interactions | True Experimental | Multiple controls for non-specific binding | Fisher's exact test, enrichment analysis |
| Knockout Phenotype Analysis | True Experimental | Complementation controls, multiple growth conditions | Chi-square, survival analysis |