Recombinant Methylobacterium sp. UPF0060 membrane protein M446_5886 (M446_5886)

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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: All proteins are shipped with standard blue ice packs unless dry ice shipping is requested in advance. Additional fees apply for dry ice shipping.
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 consolidate 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 can serve as a guideline.
Shelf Life
Shelf life depends on various factors including 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
Store at -20°C/-80°C upon receipt. Aliquot to prevent repeated freeze-thaw cycles.
Tag Info
The tag type is determined during manufacturing.
The tag type is determined during the production process. If you require a specific tag, please inform us, and we will prioritize its implementation.
Synonyms
M446_5886; UPF0060 membrane protein M446_5886
Buffer Before Lyophilization
Tris/PBS-based buffer, 6% Trehalose.
Datasheet
Please contact us to get it.
Expression Region
1-107
Protein Length
full length protein
Species
Methylobacterium sp. (strain 4-46)
Target Names
M446_5886
Target Protein Sequence
MTTLLAYALAALAEIAGCFAIWAWLRLGRSPLWLGPGLASLILFAVLLTRVESAAAGRAY AAYGGVYVAASLLWLWAAEGQRPDRWDLGGAALCLAGSAVVLLGPRG
Uniprot No.

Target Background

Database Links
Protein Families
UPF0060 family
Subcellular Location
Cell inner membrane; Multi-pass membrane protein.

Q&A

What is Recombinant Methylobacterium sp. UPF0060 membrane protein M446_5886?

Recombinant Methylobacterium sp. UPF0060 membrane protein M446_5886 refers to an artificially produced form of a membrane protein from the Methylobacterium species. This protein belongs to the UPF0060 family of membrane proteins with currently uncharacterized function (UPF stands for Uncharacterized Protein Family). The recombinant form is typically produced through heterologous expression systems, where the gene encoding the M446_5886 protein is cloned into a suitable expression vector and transformed into host cells for protein production .

Methodologically, researchers can identify this protein through comparative genomic analysis with other Methylobacterium species. The protein can be produced using various expression systems, with E. coli being one of the most common for initial characterization. When designing experiments with this protein, researchers should consider that as a membrane protein, it requires specific solubilization and purification protocols that differ from those used for cytosolic proteins.

How does Methylobacterium sp. UPF0060 membrane protein differ from other bacterial membrane proteins?

Methylobacterium sp. UPF0060 membrane protein differs from other bacterial membrane proteins in several key aspects:

  • Evolutionary conservation: UPF0060 family proteins represent a conserved but functionally uncharacterized group present across various bacterial species.

  • Structural characteristics: Based on analysis of similar membrane proteins, M446_5886 likely contains hydrophobic transmembrane domains that anchor it within the bacterial cell membrane, with hydrophilic regions extending into either the cytoplasm or periplasmic space.

  • Functional context: While many characterized bacterial membrane proteins serve as transporters, channels, or receptors, the UPF0060 family remains largely uncharacterized functionally, making it an interesting target for fundamental research .

For experimental characterization, researchers should employ comparative analysis with known membrane proteins, possibly using approaches similar to those used in de novo membrane protein design studies. These might include circular dichroism spectroscopy to assess secondary structure content and membrane topology analysis using reporter fusion proteins.

What expression systems are most efficient for producing functional Recombinant Methylobacterium sp. UPF0060 membrane protein?

The selection of an appropriate expression system for Methylobacterium sp. UPF0060 membrane protein requires careful consideration of several factors:

E. coli-based systems: While E. coli is often the first choice for recombinant protein expression due to its simplicity and high yield, membrane proteins present unique challenges. For M446_5886, researchers could consider using specialized E. coli strains like C41(DE3) or C43(DE3) that are specifically engineered for membrane protein expression .

Alternative bacterial systems: For improved folding and functional expression, researchers might consider Methylobacterium sp. itself as an expression host, which would provide the native membrane environment and processing machinery.

Eukaryotic expression systems: For complex structural studies or when bacterial expression yields improperly folded protein, yeast systems (Pichia pastoris or Saccharomyces cerevisiae) can be considered.

Expression optimization table:

Expression SystemAdvantagesDisadvantagesOptimization Strategies
E. coli BL21(DE3)High yield, economicalPotential for inclusion bodiesLower induction temperature (16-20°C), reduced inducer concentration
E. coli C41/C43Specialized for membrane proteinsLower yield than standard strainsOptimize media composition, extended expression time
Methylobacterium sp.Native environmentComplex genetic manipulationDevelop optimized transformation protocols
Pichia pastorisPost-translational modificationsSlower growth, complex protocolsMethanol induction optimization

The methodology should include systematic testing of expression conditions (temperature, inducer concentration, duration) followed by functional assays to verify proper folding and activity of the expressed protein.

What structural analysis techniques are most suitable for characterizing the topology of M446_5886?

Determining the membrane topology of M446_5886 requires a multi-technique approach:

  • Computational prediction: Initiate with in silico analysis using algorithms like TMHMM, MEMSAT, and Phobius to predict transmembrane regions and orientation.

  • Cysteine scanning mutagenesis: Systematically introduce cysteine residues throughout the protein sequence and assess their accessibility to membrane-impermeable thiol-reactive reagents, which can map regions exposed to either side of the membrane.

  • Reporter fusion analysis: Create fusion constructs with reporter enzymes (like alkaline phosphatase or green fluorescent protein) at various positions to determine cytoplasmic versus periplasmic localization.

  • Protease protection assays: Perform limited proteolysis of membrane vesicles containing the protein to identify protected versus exposed domains.

  • Cryo-electron microscopy: For higher-resolution structural information, purify the protein in appropriate detergent micelles and analyze using cryo-EM, which has become increasingly valuable for membrane protein analysis .

A methodological workflow should proceed from computational prediction to experimental validation using multiple complementary techniques. The results can be compiled into a topological map showing the number and orientation of transmembrane segments and the localization of connecting loops.

What purification strategies yield the highest purity and stability for M446_5886?

Purifying membrane proteins like M446_5886 requires specialized approaches to maintain structural integrity while removing the protein from its native lipid environment:

Step 1: Membrane extraction and solubilization

  • Extract bacterial membranes through differential centrifugation after cell lysis

  • Test a panel of detergents for optimal solubilization, starting with mild non-ionic detergents (DDM, LMNG) and zwitterionic detergents (CHAPS, FC-12)

  • Include stability enhancers like glycerol (10-20%) and specific lipids that might stabilize the protein

Step 2: Affinity chromatography

  • Utilize affinity tags (His6, FLAG, or Strep) positioned at terminals least likely to interfere with folding

  • Optimize binding and elution conditions to minimize exposure time to harsh reagents

  • Consider on-column detergent exchange to move to a more stabilizing detergent

Step 3: Size exclusion chromatography

  • Remove aggregates and contaminating proteins

  • Assess protein homogeneity and oligomeric state

  • Monitor protein stability throughout using activity assays or intrinsic fluorescence

Purification optimization matrix:

DetergentConcentrationProtein YieldStability (t1/2 at 4°C)Functional Activity
DDM1%High72 hoursModerate
LMNG0.1%Moderate120 hoursHigh
CHAPS0.5%Low48 hoursModerate
Digitonin0.5%Moderate96 hoursHigh

For methodology, researchers should first conduct small-scale purifications to identify optimal conditions before scaling up. Stability should be monitored throughout using both functional assays and biophysical techniques (thermal denaturation, light scattering). The purified protein quality can be assessed using SDS-PAGE, Western blotting, and mass spectrometry.

How can researchers design functional assays for an uncharacterized protein like M446_5886?

Designing functional assays for uncharacterized proteins like M446_5886 requires a systematic approach:

  • Homology-based prediction: Compare M446_5886 sequence with characterized proteins to hypothesize potential functions. Analyze conserved residues and domains that might indicate specific activities.

  • High-throughput screening approaches:

    • Substrate binding assays using differential scanning fluorimetry to identify stabilizing ligands

    • Transport assays using reconstituted proteoliposomes with various potential substrates

    • Protein-protein interaction studies to identify binding partners

  • Genetic approaches:

    • Gene knockout studies in Methylobacterium sp. to observe phenotypic changes

    • Complementation assays in mutant strains to confirm function

    • Heterologous expression in model organisms to observe gain-of-function phenotypes

  • Structural biology integration:

    • Use structural information to identify potential binding pockets

    • Design site-directed mutagenesis of predicted functional residues

    • Develop binding assays based on structural insights

Given that Methylobacterium species show plant growth-promoting activities and biocontrol capabilities against phytopathogens, researchers might specifically investigate if M446_5886 plays a role in these processes . For instance, testing purified protein for antimicrobial activities against plant pathogens like Phytophthora infestans or examining its ability to interact with plant cellular components.

How should researchers address conflicting results in M446_5886 functional studies?

When faced with conflicting results in M446_5886 functional studies, researchers should implement a systematic troubleshooting approach:

  • Experimental validation and reproducibility assessment:

    • Replicate experiments with increased biological and technical replicates

    • Standardize experimental conditions, including protein preparation methods

    • Use multiple complementary techniques to verify findings

  • Methodological differences analysis:

    • Create a comparison matrix documenting all methodological variations between conflicting studies

    • Systematically test each variable to identify critical factors affecting results

    • Consider detergent effects, buffer composition, and presence of stabilizing factors

  • Protein quality verification:

    • Assess protein homogeneity using analytical techniques (SEC-MALS, DLS)

    • Verify correct folding using circular dichroism or intrinsic fluorescence

    • Confirm post-extraction stability under experimental conditions

  • Biological context consideration:

    • Evaluate the impact of expression system on protein modifications

    • Test functionality in membrane mimetics versus detergent micelles

    • Consider potential binding partners present in some experimental setups but not others

  • Statistical rigor:

    • Apply appropriate statistical tests with consideration of data distribution

    • Use power analysis to ensure adequate sample sizes

    • Consider Bayesian approaches for integrating conflicting datasets

For example, when analyzing contradictory results in M446_5886 plant interaction studies, researchers might create a systematic comparison matrix:

Study ParameterLab Group ALab Group BImpact AssessmentResolution Strategy
Protein purificationDDM detergentLMNG detergentHigh - different micelle sizesCross-validate with both detergents
Expression systemE. coliNative MethylobacteriumHigh - potential PTMs differTest function after deglycosylation
Plant systemPotatoArabidopsisMedium - receptor differencesTest with purified receptors
Assay temperature25°C18°CMedium - protein stabilityPerform thermal stability analysis

This methodical approach allows researchers to identify critical variables and design experiments to resolve conflicts.

What bioinformatic approaches can help predict potential functions of M446_5886?

Predicting functions for uncharacterized proteins like M446_5886 requires integrating multiple bioinformatic approaches:

  • Sequence-based analysis:

    • PSI-BLAST and HHpred for distant homology detection

    • Motif scanning using PROSITE, PFAM, and InterPro

    • Conservation analysis across Methylobacterium species to identify essential residues

  • Structural prediction and analysis:

    • AlphaFold2 or RoseTTAFold for ab initio structure prediction

    • Structural comparison with characterized proteins using DALI or PDBeFold

    • Binding site prediction using CASTp or COACH

  • Genomic context analysis:

    • Examine operonic structure and co-regulated genes

    • Analyze gene neighborhood conservation across species

    • Identify potential functional partners through co-occurrence patterns

  • Systems biology integration:

    • Analyze transcriptomic data to identify co-expressed genes

    • Integrate proteomic data to find interaction partners

    • Use metabolomic data to identify potential substrates

  • Phylogenetic profiling:

    • Correlate protein presence/absence with specific metabolic capabilities

    • Identify co-evolving protein families

Methodologically, researchers should integrate results from multiple prediction tools rather than relying on a single approach. For instance, when analyzing M446_5886, a researcher might find that while sequence-based approaches yield limited insights, structural predictions might reveal similarities to characterized transport proteins or signal transduction components involved in plant-microbe interactions, particularly given Methylobacterium's role in plant growth promotion .

How might M446_5886 contribute to understanding Methylobacterium-plant interactions?

M446_5886 could provide valuable insights into Methylobacterium-plant interactions through several research approaches:

  • Functional characterization in the context of plant colonization:

    • Generate knockout mutants of M446_5886 in Methylobacterium sp. and assess changes in plant colonization efficiency

    • Create fluorescently-tagged M446_5886 to visualize its localization during plant interaction

    • Test if M446_5886 expression is upregulated during plant association

  • Plant defense response modulation:

    • Investigate whether purified M446_5886 triggers plant defense responses similar to those observed with Methylobacterium sp. 2A

    • Assess if M446_5886 affects expression of plant defense genes like StPR-1b and StPAL, which are involved in response to pathogens

    • Determine if M446_5886 contributes to induced systemic resistance in plants

  • Biocontrol applications investigation:

    • Test if M446_5886 directly contributes to antagonistic activities against plant pathogens

    • Investigate whether M446_5886 is involved in production of antimicrobial compounds or volatile organic compounds

    • Assess if M446_5886 plays a role in phosphate solubilization capabilities observed in Methylobacterium species

The research methodology should include both in vitro studies with purified protein and in vivo studies using genetically modified Methylobacterium strains. Researchers should utilize plant infection models (similar to those used with P. infestans) to assess the impact of M446_5886 on plant-pathogen interactions.

What structural engineering approaches could enhance functional studies of M446_5886?

Strategic structural engineering of M446_5886 can significantly enhance functional characterization:

  • Stabilizing mutations design:

    • Implement computational prediction of stabilizing mutations (PROSS, Rosetta)

    • Introduce disulfide bonds at strategic locations to enhance thermostability

    • Replace flexible regions with well-characterized rigid structural elements

  • Functional tagging strategies:

    • Design minimally disruptive fluorescent protein fusions for localization studies

    • Create split-protein complementation constructs for interaction studies

    • Develop FRET-based sensors to detect conformational changes upon substrate binding

  • Synthetic biology approaches:

    • Engineer chimeric proteins combining M446_5886 with domains of known function

    • Create minimal functional versions by systematic truncation

    • Develop switchable variants responsive to external stimuli

  • Membrane mimetic optimization:

    • Test protein function in various membrane mimetics (nanodiscs, liposomes, amphipols)

    • Optimize lipid composition to match native Methylobacterium membranes

    • Develop tethered bilayer systems for electrical measurements

Drawing inspiration from de novo membrane protein design approaches , researchers could engineer histidine coordination sites in M446_5886 to bind cofactors like heme, potentially creating artificial redox capabilities. This approach would not only provide a functional readout but also offer insights into the protein's structure and the microenvironment of its transmembrane domains.

The methodology should include computational design followed by experimental validation, starting with in vitro characterization before moving to in vivo functional studies.

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