Recombinant Escherichia coli Inner membrane protein yigG (yigG)

Shipped with Ice Packs
In Stock

Description

Native YigG Protein

The native YigG protein is an inner membrane protein found in Escherichia coli, a bacterium commonly used in research and biotechnology. It is part of the large family of inner membrane proteins, which play crucial roles in various cellular processes, including transport, signaling, and energy metabolism.

Structure and Topology of YigG

The topology of YigG, like other inner membrane proteins, is crucial for its function. Research on Escherichia coli inner membrane proteins has shown that determining their topology is essential for understanding their roles in the cell .

ProteinTopology FeaturesMethod of Determination
YigGPeriplasmic C terminusPhoA and GFP fusion studies

The use of PhoA (alkaline phosphatase) and GFP (green fluorescent protein) fusions has been instrumental in determining the topology of inner membrane proteins, including YigG. These methods help identify whether the C terminus of a protein is located in the cytoplasm or periplasm .

Recombinant Production of Membrane Proteins

Recombinant production of membrane proteins, such as YigG, involves expressing these proteins in a host organism, often Escherichia coli, to facilitate their study and application. This process can be challenging due to the hydrophobic nature of membrane proteins, which requires specialized conditions for proper folding and integration into membranes .

Challenges in Recombinant Production

  1. Protein Folding: Membrane proteins require specific conditions to fold correctly, which can be difficult to replicate in a recombinant system.

  2. Membrane Integration: Ensuring that the protein integrates properly into the membrane is crucial for its function.

  3. Yield and Stability: Maximizing protein yield and stability is essential for downstream applications.

Strategies for Improvement

  • Strain Engineering: Developing Escherichia coli strains optimized for membrane protein production.

  • Culture Conditions: Optimizing growth conditions to enhance protein expression and stability.

  • Induction Regimes: Tailoring induction strategies to improve yield and reduce stress on the host cells .

Potential Applications of Recombinant YigG

While specific applications of recombinant YigG are not well-documented, membrane proteins in general have a wide range of potential uses:

  1. Biotechnology: As components in biosensors, biofuels, or biocatalysts.

  2. Pharmaceuticals: Targets for drug development or as therapeutic agents themselves.

  3. Basic Research: Tools for understanding cellular processes and membrane biology.

Product Specs

Form
Supplied as a lyophilized powder.

Note: While we prioritize shipping the format currently in stock, please specify your format preference during ordering; we will accommodate your request whenever possible.
Lead Time
Delivery times vary depending on the purchasing method and location. Please contact your local distributor for precise delivery estimates.

Note: All proteins are shipped with standard 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 storing in aliquots at -20°C/-80°C. Our standard glycerol concentration is 50%, which can serve as a guideline.
Shelf Life
Shelf life depends on various factors, including storage conditions, buffer composition, temperature, and the protein's inherent 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 to prevent repeated freeze-thaw cycles.
Tag Info
The tag type is determined during the manufacturing process.

The tag type is determined during production. If you require a specific tag, please inform us; we will prioritize its inclusion.
Synonyms
yigG; b3818; JW5590; Inner membrane protein YigG
Buffer Before Lyophilization
Tris/PBS-based buffer, 6% Trehalose.
Datasheet
Please contact us to get it.
Expression Region
1-126
Protein Length
full length protein
Species
Escherichia coli (strain K12)
Target Names
yigG
Target Protein Sequence
MLRIFIPTSNGKISRRRYIFSFILINFIFAFLIIFFNDGEAGFLVIVSTIVLHYLVINMN CQRLRDSGFIYIKTYVFGTLAVYIISIITMIAEDFACSGNGSMIFLICYFSTFSMLMLAP TDSSKQ
Uniprot No.

Target Background

Database Links
Subcellular Location
Cell inner membrane; Multi-pass membrane protein.

Q&A

What is the Escherichia coli inner membrane protein yigG and what cellular functions has it been associated with?

The Escherichia coli inner membrane protein yigG is a bacterial membrane protein located in the inner membrane of E. coli cells . While comprehensive functional characterization is still ongoing in the research community, yigG belongs to a class of membrane proteins that typically participate in various cellular processes including transport of molecules, signal transduction, and maintenance of membrane integrity.

When designing experiments involving yigG, researchers should account for its membrane localization by using appropriate extraction and purification protocols. The experimental design should consider the protein's hydrophobic nature, which necessitates specialized approaches compared to soluble proteins .

What expression systems are recommended for the production of recombinant yigG protein?

For recombinant production of the E. coli inner membrane protein yigG, several expression systems can be employed with varying efficiency. The choice of expression system should be guided by specific experimental objectives and available resources.

When designing your expression experiments, consider implementing a systematic approach as outlined in this recommended workflow:

Expression SystemAdvantagesLimitationsRecommended Applications
E. coli native hostHigh yield, simplified protocol, native folding environmentPotential toxicity, extraction challengesStructural studies, antibody generation
Modified E. coli strains (C41/C43)Reduced toxicity, improved membrane protein expressionAdditional genetic modifications requiredFunctional studies, large-scale production
Cell-free systemsAvoids toxicity issues, rapid productionHigher cost, potentially lower yieldInteraction studies, preliminary characterization
Yeast expression systemsPost-translational modifications, eukaryotic environmentLonger production time, different membrane compositionComplex functional studies, eukaryotic interaction partners

The experimental design should include careful selection of induction parameters, temperature optimization, and appropriate detergent screens for extraction . Control experiments with established membrane proteins of similar size and topology are essential for protocol validation.

What purification methods yield the highest purity and activity for recombinant yigG?

Purification of recombinant yigG requires specialized approaches due to its membrane protein nature. A methodological purification workflow typically involves:

  • Membrane isolation through differential centrifugation

  • Detergent screening to identify optimal solubilization conditions

  • Affinity chromatography utilizing fusion tags (His, GST, or FLAG)

  • Size exclusion chromatography for final purification

When designing your purification protocol, implement a systematic approach that monitors protein quality at each step. The following table summarizes recommended methods with expected outcomes:

Purification StepMethodologyQuality Control MeasuresExpected Outcome
Membrane isolationDifferential ultracentrifugation (100,000-200,000 × g)Western blot verification of membrane fractionsEnriched membrane preparation
Detergent solubilizationScreen of mild detergents (DDM, LDAO, Fos-choline)Solubilization efficiency by SDS-PAGE>80% solubilization without denaturation
Affinity purificationIMAC (for His-tagged protein)SDS-PAGE, activity assays70-90% purity
Size exclusionSuperdex 200 or similarSEC profile, dynamic light scattering>95% purity, monodisperse preparation

The experimental design should include verification of protein folding and stability using circular dichroism or fluorescence-based thermal shift assays to ensure that the purified protein maintains its native conformation .

What experimental design strategies are most effective for studying protein-protein interactions involving yigG?

Investigating protein-protein interactions involving membrane proteins like yigG presents unique challenges that require specialized experimental approaches. An effective experimental design strategy should incorporate multiple complementary methods to validate interactions.

The following methodological framework represents a comprehensive approach:

MethodPrincipleAdvantagesLimitationsData Analysis Approach
Co-immunoprecipitationAntibody-based pull-down of protein complexesWorks with native conditionsRequires specific antibodiesComparison to negative controls, statistical assessment of enrichment
Bacterial two-hybridReconstitution of transcription factor activityIn vivo detectionLimited to binary interactionsStatistical analysis of reporter gene activation
Cross-linking mass spectrometryChemical cross-linking of interacting proteinsCaptures transient interactionsComplex data interpretationComputational modeling of interaction interfaces
Surface plasmon resonanceReal-time binding kinetics measurementQuantitative binding constantsRequires purified componentsMulti-parameter curve fitting
Förster resonance energy transferEnergy transfer between fluorophoresCan be used in living cellsRequires fluorescent labelingDistance calculations based on FRET efficiency

When designing interaction studies, it's crucial to incorporate proper controls and validation experiments to distinguish specific from non-specific interactions. For membrane proteins like yigG, detergent choice and concentration can significantly impact interaction detection, necessitating careful optimization .

Analysis of contradictory data between different methods should be approached systematically through technical replication and varying experimental conditions to identify method-specific artifacts versus genuine biological variability.

How can researchers effectively analyze and resolve data contradictions when characterizing yigG function?

Data contradictions are common in membrane protein research due to the complex nature of these proteins and their sensitivity to experimental conditions. When facing contradictory results in yigG characterization, a systematic troubleshooting approach is essential.

Implement the following methodological framework to resolve data contradictions:

  • Identify the specific nature of the contradiction (e.g., functional activity, localization, interaction partners)

  • Evaluate methodological differences that might explain the discrepancies

  • Design targeted validation experiments to resolve the contradiction

The following table provides a structured approach to common contradictions:

Type of ContradictionPotential CausesResolution StrategyValidation Approach
Activity discrepanciesDetergent effects, buffer composition, protein stabilitySystematic buffer optimizationActivity measurements across condition matrix
Localization differencesSample preparation artifacts, antibody specificityMultiple localization techniquesCorrelation analysis between methods
Interaction partner variabilityStringency of wash conditions, detergent interferenceTitration of interaction conditionsDose-response curves for interaction strength
Structural inconsistenciesSample heterogeneity, detergent effectsConformational analysisHydrogen-deuterium exchange, limited proteolysis

When analyzing contradictory data, it's valuable to apply statistical approaches such as Bland-Altman plots to visualize the extent of disagreement between methods or principal component analysis to identify patterns in multi-parameter datasets . This systematic approach transforms contradiction into valuable insights about protein behavior under different conditions.

What are the most reliable approaches for determining the topology and structural characteristics of yigG in the membrane?

Determining the membrane topology and structural features of inner membrane proteins like yigG requires specialized techniques that can provide spatial information while the protein remains in a membrane-like environment.

The following methodological framework offers a comprehensive approach:

When designing topology studies, it's crucial to combine complementary methods that provide overlapping but distinct information. This triangulation approach increases confidence in the resulting topology model .

Data analysis should incorporate quantitative measures of uncertainty and statistical validation, particularly when integrating data from multiple methods. When visualizing results, researchers should use clear representation of membrane boundaries and protein orientation to facilitate interpretation.

How should researchers design experiments to investigate the effect of mutations on yigG function and stability?

Investigating the effect of mutations on yigG function and stability requires a carefully designed experimental approach that can distinguish between effects on expression, folding, stability, and function.

A comprehensive experimental design should include:

Experimental PhaseMethodologyControlsData Analysis Approach
Mutation selectionStructure-guided or evolutionary conservation analysisWild-type sequence, neutral mutationsStatistical analysis of conservation scores
Expression analysisqPCR, Western blottingHousekeeping genes, wild-type proteinNormalization to wild-type levels
Membrane integrationFractionation analysis, GFP fusion localizationKnown membrane proteinsQuantitative comparison to wild-type distribution
Stability assessmentThermal shift assays, limited proteolysisWild-type protein in identical conditionsDetermination of melting temperatures, proteolytic accessibility
Functional characterizationActivity assays specific to protein functionCatalytically inactive mutantsKinetic parameter determination

When designing mutation studies, it's important to implement a systematic approach that tests hypotheses about specific structural or functional features of yigG . Random mutagenesis approaches should be coupled with high-throughput screening methods to efficiently identify functionally important residues.

Data analysis should incorporate appropriate statistical methods to determine the significance of observed differences. For complex phenotypes, multivariate analysis may be necessary to disentangle multiple effects of a single mutation.

What considerations are important when designing experiments to study yigG in different membrane environments?

The function and behavior of membrane proteins like yigG can be significantly influenced by the lipid environment. Designing experiments to systematically investigate these effects requires careful consideration of membrane mimetics and composition.

Implement the following methodological framework:

Membrane EnvironmentAdvantagesLimitationsAnalytical Considerations
Detergent micellesSimple preparation, compatible with many techniquesNon-native environment, potential destabilizationDetergent screening, critical micelle concentration monitoring
LiposomesControlled lipid composition, bilayer structureSize heterogeneity, limited internal volumeDynamic light scattering for size verification, lipid-to-protein ratio optimization
NanodiscsDefined size, accessible protein surfaceComplex assembly, limited sizeHomogeneity verification, scaffold protein effects
Native membranesNatural lipid composition and organizationComplex composition, difficult to modifyComprehensive lipidomic analysis, isolation purity
Model cellular systemsPhysiological environment, in vivo validationGenetic background effectsAppropriate control cell lines, expression verification

When designing membrane environment studies, it's valuable to systematically vary lipid composition to identify specific lipid-protein interactions that may influence yigG function . This approach should include both bulk lipid effects and potential specific binding of lipids to the protein.

Data analysis should account for the heterogeneity inherent in many membrane mimetics and include appropriate controls to distinguish specific from non-specific effects of the membrane environment.

What statistical approaches are most appropriate for analyzing yigG functional assay data?

The following methodological framework outlines appropriate statistical approaches:

Data TypeRecommended Statistical ApproachImplementation ConsiderationsInterpretation Guidelines
Activity measurementsMichaelis-Menten kinetics, dose-response curvesMultiple substrate concentrations, technical replicatesParameter estimation with confidence intervals
Stability assaysThermal denaturation curves, Boltzmann fittingTemperature gradients, stability indicatorsMelting temperature comparisons with statistical significance
Binding assaysEquilibrium analysis, Scatchard plotsMultiple ligand concentrations, binding specificity controlsAffinity constant determination with error estimation
Comparative studiesANOVA with post-hoc tests, t-tests for pairwise comparisonsAppropriate sample sizes, normality testingMultiple testing correction, effect size reporting
Time-series dataRepeated measures ANOVA, regression analysisTime point selection, appropriate controlsRate determination, temporal pattern identification

When designing the statistical analysis plan, researchers should determine sample sizes based on power calculations to ensure sufficient statistical power to detect biologically relevant effects . This approach prevents both false negatives due to underpowered studies and resource waste from unnecessarily large experiments.

Data interpretation should clearly distinguish between statistical significance and biological relevance, particularly when working with highly sensitive assays where small but statistically significant differences may not reflect meaningful biological changes.

How can researchers effectively use tables to enhance trustworthiness in yigG research?

Tables are powerful tools for enhancing the trustworthiness of qualitative and quantitative research on membrane proteins like yigG. Effective use of tables can organize data, facilitate analysis from multiple perspectives, and present evidence in a succinct and convincing manner.

The following table outlines different types of tables that can be used in yigG research:

Table TypePurposeImplementation in yigG ResearchContribution to Trustworthiness
Data sources tableDocument data collectionList of experimental approaches used for yigG characterizationDemonstrates comprehensive methodology, enables triangulation
Data analysis tableTrack analytical stepsDocumentation of analysis pipeline for yigG functional dataShows rigor in analytical approach, facilitates reproducibility
Event listingChronological documentationTimeline of experimental manipulations and observationsEstablishes temporal relationships, contextualizes observations
Concept-evidence tableLink concepts to evidenceConnection between hypothesized yigG functions and supporting dataGrounds interpretations in empirical evidence
Cross-case analysisCompare across conditionsComparison of yigG behavior across different lipid environmentsFacilitates systematic comparison, identifies patterns
Co-occurrence tableIdentify patternsAnalysis of co-occurring features in yigG mutant phenotypesEnables pattern recognition across multiple variables
Typologically ordered tableCompare different manifestationsComparison of different yigG functional states or conformationsClarifies conceptual distinctions, organizes complex phenomena

When designing tables for yigG research, researchers should ensure that they serve specific analytical purposes rather than merely summarizing data . Tables should be structured to facilitate comparisons that address the core research questions and highlight patterns that might not be evident in narrative form.

Tables contribute to research trustworthiness by providing transparency in the research process, demonstrating methodological rigor, and presenting evidence systematically to support claims about yigG function or properties.

What are the most common challenges in recombinant yigG expression and how can they be overcome?

Recombinant expression of membrane proteins like yigG presents several challenges that require systematic troubleshooting approaches. Identifying and overcoming these challenges is essential for successful protein production.

The following table outlines common challenges and methodological solutions:

ChallengeUnderlying CausesMethodological SolutionsImplementation Strategy
Low expression levelsToxicity, codon usage, promoter strengthExpression strain optimization, codon optimization, induction tuningSystematic screening of expression conditions with quantitative analysis
Inclusion body formationRapid expression, improper folding, aggregationLower temperature, slower induction, fusion partnersSolubility screening with parallel expression conditions
Proteolytic degradationProtein instability, protease sensitivityProtease-deficient strains, protease inhibitorsWestern blot analysis of degradation patterns
Poor membrane integrationOverloading of translocation machineryReduced expression rate, specialized translation systemsMembrane fraction analysis with quantitative comparisons
Extraction difficultiesStrong lipid interactions, aggregationDetergent screening, solubilization optimizationSystematic detergent panel testing with quantitative recovery assessment

When addressing expression challenges, researchers should implement a structured experimental design that systematically varies key parameters rather than changing multiple variables simultaneously . This approach allows for identification of specific factors that improve expression outcomes.

Data analysis should quantitatively compare protein yield and quality across different conditions to identify optimal parameters. Visualization tools such as heat maps can effectively represent the results of multi-parameter optimization experiments.

How can researchers effectively troubleshoot contradictory results in yigG functional characterization?

Contradictory results in functional characterization of membrane proteins like yigG can arise from various sources including experimental conditions, protein preparation differences, and inherent biological variability. A systematic troubleshooting approach is essential to resolve these contradictions.

Implement the following methodological framework:

Source of ContradictionDiagnostic ApproachResolution StrategyValidation Method
Protein preparation variabilityBatch comparison, quality control metricsStandardized preparation protocol, quality thresholdsActivity correlation with quality metrics
Buffer/environmental conditionsSystematic condition screeningIdentification of condition-dependent behaviorRobust activity under varied conditions
Methodological differencesParallel method comparisonMethod-specific artifacts identificationCross-validation between methods
Data analysis inconsistenciesRe-analysis with standardized pipelineUnified analytical frameworkBlind analysis by multiple researchers
Biological heterogeneitySingle-molecule approachesCharacterization of subpopulationsStatistical distribution analysis

When designing troubleshooting experiments, researchers should develop a decision tree that guides the investigation based on specific patterns of contradiction . This structured approach prevents inefficient trial-and-error testing and focuses efforts on the most likely sources of variation.

Data integration across different experimental approaches should employ appropriate statistical methods to weight evidence based on methodological strengths and limitations. Meta-analysis approaches can be particularly valuable when synthesizing data from multiple sources.

What emerging technologies and methodologies show promise for advancing yigG research?

Advancing research on membrane proteins like yigG benefits from the application of emerging technologies that provide new insights into structure, function, and interactions. These approaches can overcome limitations of traditional methods and generate novel hypotheses.

The following table highlights promising emerging technologies:

TechnologyApplication to yigG ResearchMethodological AdvantagesImplementation Considerations
Cryo-EM for membrane proteinsHigh-resolution structural determinationMinimal sample requirements, native-like conditionsProtein stability, homogeneity, detergent optimization
Single-molecule fluorescenceReal-time dynamics and conformational changesReveals heterogeneity, captures rare eventsLabeling strategies, signal-to-noise optimization
Native mass spectrometryIntact complex analysis, lipid interactionsPreserves non-covalent interactionsGentle ionization conditions, specialized instrumentation
Micro-scale thermophoresisBinding kinetics in complex environmentsLow sample consumption, label-free optionTemperature gradient optimization, buffer compatibility
AlphaFold and structural predictionModel generation, interaction predictionRapid hypotheses generationExperimental validation, confidence assessment
High-throughput mutagenesisComprehensive functional mappingParallel analysis of many variantsFunctional screening design, data analysis pipeline

When integrating these emerging technologies into yigG research, it's important to develop experimental designs that leverage the unique capabilities of each method while addressing their specific limitations . Combining complementary approaches provides the most robust insights.

Strategic implementation should prioritize technologies that address specific knowledge gaps rather than applying new methods simply because they are available. The research question should drive technology selection rather than the reverse.

How can researchers design experiments to explore potential therapeutic applications targeting yigG or related membrane proteins?

Despite being a bacterial protein, understanding yigG and its related membrane proteins can provide insights applicable to therapeutic development targeting membrane proteins more broadly. Designing experiments with potential therapeutic implications requires consideration of additional parameters beyond basic characterization.

Implement the following methodological framework:

Research PhaseExperimental ApproachKey ConsiderationsData Analysis Strategy
Target validationKnockdown/knockout studies, phenotypic analysisEssential function verification, specificity assessmentPhenotype quantification, statistical comparison to controls
Druggability assessmentBinding pocket analysis, fragment screeningPocket accessibility, ligand binding potentialComputational binding site analysis, fragment hit clustering
Small molecule screeningHigh-throughput assays, structure-based virtual screeningAssay robustness, compound selection criteriaHit identification algorithms, dose-response analysis
Structure-activity relationshipMedicinal chemistry optimization, binding studiesChemical diversity, optimization strategyQuantitative structure-activity relationships
Mechanism of actionFunctional assays, resistance mappingActivity profile, resistance mechanismsPathway analysis, resistance mutation mapping

When designing experiments with therapeutic relevance, it's essential to implement appropriate controls that distinguish specific from non-specific effects and establish clear criteria for defining hit compounds or promising approaches .

Data analysis should incorporate both statistical significance and measures of effect size to identify biologically meaningful results. Visualization approaches such as structure-activity relationship maps can effectively communicate complex relationships between chemical structures and biological activities.

Quick Inquiry

Personal Email Detected
Please use an institutional or corporate email address for inquiries. Personal email accounts ( such as Gmail, Yahoo, and Outlook) are not accepted. *
© Copyright 2025 TheBiotek. All Rights Reserved.