Recombinant Escherichia coli UPF0382 inner membrane protein ygdD (ygdD)

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Product Specs

Form
Lyophilized powder
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Lead Time
Delivery times vary depending on the purchase method and location. Contact your local distributor for precise delivery estimates.
Note: All proteins are shipped with standard blue ice packs unless dry ice shipping is specifically requested and pre-arranged. 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 collect the contents. Reconstitute the protein in sterile, deionized water to a concentration of 0.1-1.0 mg/mL. We recommend adding 5-50% glycerol (final concentration) and aliquoting for long-term storage at -20°C/-80°C. Our standard glycerol concentration is 50%, which can be used 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 forms 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
Tag type is determined during the manufacturing process.
The specific tag type is determined during production. If you require a specific tag, please inform us; we will prioritize its implementation.
Synonyms
ygdD; b2807; JW2778; UPF0382 inner membrane protein YgdD
Buffer Before Lyophilization
Tris/PBS-based buffer, 6% Trehalose.
Datasheet
Please contact us to get it.
Expression Region
1-131
Protein Length
full length protein
Species
Escherichia coli (strain K12)
Target Names
ygdD
Target Protein Sequence
MTSRFMLIFAAISGFIFVALGAFGAHVLSKTMGAVEMGWIQTGLEYQAFHTLAILGLAVA MQRRISIWFYWSSVFLALGTVLFSGSLYCLALSHLRLWAFVTPVGGVSFLAGWALMLVGA IRLKRKGVSHE
Uniprot No.

Target Background

Function
This protein may function as a peptide transporter or facilitate peptide internalization.
Database Links
Protein Families
UPF0382 family
Subcellular Location
Cell inner membrane; Multi-pass membrane protein.

Q&A

What is Recombinant Escherichia coli UPF0382 inner membrane protein ygdD?

Recombinant Escherichia coli UPF0382 inner membrane protein ygdD is a bacterial membrane protein originally identified in E. coli strain K12 . It is classified as an inner membrane protein with 131 amino acid residues that spans across the bacterial cell membrane . The protein belongs to the UPF0382 family, which includes uncharacterized protein families with conserved sequences but incompletely understood functions . As a recombinant protein, it can be produced in various expression systems including E. coli, yeast, baculovirus, or mammalian cells for research purposes .

What is known about the structural characteristics of ygdD?

The ygdD protein consists of 131 amino acids and is characterized as an inner membrane protein with hydrophobic transmembrane segments that anchor it within the bacterial cell membrane . While the complete three-dimensional structure has not been fully elucidated in the provided literature, analyses indicate that it contains membrane-spanning domains typical of inner membrane proteins . Its classification in the UPF0382 family suggests it shares conserved structural motifs with other members of this protein family . Studies examining its translation and folding dynamics indicate it possesses structural features that make its biogenesis sensitive to translation rates, suggesting complex folding requirements typical of integral membrane proteins .

Why is ygdD protein important in bacterial membrane studies?

YgdD protein serves as an excellent model system for studying fundamental aspects of membrane protein biogenesis, particularly the relationship between translation kinetics and proper membrane protein folding . Its importance lies in several key aspects of bacterial membrane biology:

  • It represents a typical bacterial inner membrane protein that must be correctly targeted, inserted, and folded within the membrane environment.

  • It has been shown to exhibit translation pauses that correlate with improved folding efficiency, making it valuable for understanding co-translational membrane protein insertion mechanisms .

  • The protein demonstrates how translation speed can influence membrane protein folding outcomes, providing insights into quality control mechanisms in bacteria .

  • As part of E. coli, the most widely studied prokaryotic model organism, findings related to ygdD contribute to our broader understanding of membrane protein biogenesis across bacterial species .

How do translation pauses affect ygdD membrane protein folding?

Translation pauses significantly improve ygdD membrane protein folding by allowing proper integration into the membrane during synthesis . Analysis of ribosome density profiles reveals that membrane proteins, including ygdD, are enriched with programmed pause codons between positions 16 and 60, a region coinciding with membrane protein targeting . Specifically, two distinct peaks of elevated pauses were observed: the first in codons 16-36 (region I) and the second in codons 40-60 (region II) . These strategic pauses during early translation elongation provide critical time for the nascent peptide to properly interact with membrane insertion machinery and begin correct folding processes before synthesis is complete .

Experimental evidence demonstrates a direct causative relationship between controlled translation slowdown and improved folding outcomes for ygdD . When researchers engineered SD-like motifs (Shine-Dalgarno-like sequences) into the ygdD gene to increase ribosome pausing without altering the amino acid sequence, they observed enhanced protein folding as measured by GFP-fusion assays . This confirms that translation kinetics directly influence membrane protein folding efficiency for ygdD and potentially other membrane proteins.

What experimental approaches are used to study ygdD protein folding efficiency?

Several sophisticated experimental approaches have been developed to study ygdD protein folding efficiency:

  • GFP-Fusion Folding Assay: This approach uses C-terminal GFP fusion to monitor proper folding. Correctly folded membrane proteins allow the GFP domain to fold and fluoresce, while misfolded proteins lead to non-fluorescent GFP . This technique permits quantitative assessment of folding efficiency through in-gel fluorescence measurements.

  • Western Blotting with Fraction Analysis: Researchers employ Western blotting to differentiate between properly folded and aggregated forms of ygdD . Quantitative densitometric analysis allows calculation of the fraction of folded versus aggregated protein.

  • Ribosome Density Profiling: This technique analyzes translation kinetics by identifying locations of ribosomes on mRNA during protein synthesis, revealing natural pause sites that may be important for proper folding .

  • Site-Directed Mutagenesis: Strategic modification of nucleotide sequences to create or remove potential pause sites without altering the amino acid sequence. For ygdD, researchers designed 12-14 mutations to maximize ribosomal anti-SD affinity while maintaining the protein sequence .

The combination of these techniques allows researchers to establish correlations between translation kinetics and folding outcomes, as demonstrated in the following data:

ProteinAnti-SD Binding Affinity ChangeFolding Improvement
YgdDRobust increaseSignificant
BrnQRobust increaseSignificant
YbjJModerate increaseNone observed

This data conclusively demonstrates that substantially increasing SD-like motifs in ygdD improves its folding efficiency .

What is the relationship between expression levels and ygdD folding outcomes?

Research suggests that programmed translation pauses in ygdD and other membrane proteins may have evolved as a mechanism to alleviate the burden on cellular quality control under physiological conditions . This relationship highlights the evolutionary adaptation of translation kinetics to optimize membrane protein folding under various cellular conditions, balancing efficiency with accuracy.

How can SD-like motifs be engineered to improve ygdD protein folding?

Engineering SD-like motifs to improve ygdD protein folding requires a precise mutagenesis approach that increases ribosomal pausing without altering the amino acid sequence . The methodology involves several key steps:

  • Identification of Target Regions: Focus on coding regions between positions 16-60, where natural pauses occur in membrane proteins, with particular attention to regions I (codons 16-36) and II (codons 40-60) .

  • Design of Silent Mutations: Create 5'-phosphorylated mutagenic primers that maximize affinity for the ribosomal anti-SD sequence while maintaining the amino acid coding capacity . For ygdD, researchers used the following primer sequences:

    • Forward: GGGCGGTGGAGATGGGGTGGATACAGACGGGGCTCGAATACCAGGCGTTTC

    • Reverse: CCATCGTCTTACTCAACACATGCGCCCCAAACGCCCCCAGAGCCACAAAAATGAAG

  • PCR Amplification: Use these primers to amplify the entire plasmid containing the ygdD gene .

  • Blunt-End Ligation and Transformation: The PCR products are blunt-end ligated and transformed into E. coli DH5α cells .

  • Sequence Verification: Mutant plasmids are sequenced to ensure they contain only the desired mutations .

  • Functional Assessment: The folding efficiency of mutant proteins is assessed using the GFP-folding assay, which provides quantitative measurement of folding improvement .

This approach successfully improved ygdD folding by creating strategic translation pauses that allow proper membrane integration and folding during synthesis. The methodology provides a powerful tool for enhancing the production of correctly folded membrane proteins for structural and functional studies .

What expression systems are optimal for recombinant ygdD production?

The optimal expression systems for recombinant ygdD production depend on research objectives and required protein characteristics. Several expression systems have been documented:

  • E. coli Expression System: The most commonly used system due to its simplicity, rapid growth, and high yields . For membrane proteins like ygdD, specialized E. coli strains designed for membrane protein expression (such as C41(DE3) or C43(DE3)) may provide better results by accommodating the additional membrane protein load.

  • Yeast Expression Systems: Provide eukaryotic processing capabilities while maintaining relatively high yields and simple culture conditions . Pichia pastoris is particularly effective for membrane proteins due to its ability to reach high cell densities and strong inducible promoters.

  • Baculovirus Expression System: Offers insect cell machinery for more complex folding requirements, potentially beneficial for difficult-to-express membrane proteins .

  • Mammalian Cell Expression: Provides the most sophisticated folding machinery and post-translational modifications, though with lower yields and higher costs .

For experimental studies of ygdD folding and function, the E. coli system has been successfully employed with additional considerations for translation rate control . The choice of expression system should be guided by the specific research question, with E. coli being preferred for biochemical and structural studies where higher yields are beneficial, while mammalian systems might be chosen when authentic folding is paramount.

How can the GFP-folding assay be implemented to assess ygdD folding efficiency?

The GFP-folding assay for assessing ygdD folding efficiency is a sophisticated technique that leverages the folding-dependent fluorescence of GFP when fused to membrane proteins . Implementation involves the following methodological steps:

  • Construct Preparation: Create a C-terminal fusion of ygdD with GFP, ensuring the linker region is appropriate for independent folding of both domains .

  • Expression Protocol:

    • Grow cultures in 96-well plates with each clone in a single well

    • Include independently grown cultures with a reference membrane protein (e.g., emrD) as internal standards

    • Induce protein expression under controlled conditions

  • Sample Preparation:

    • Sonicate cells (0.2 ml) overexpressing the membrane proteins

    • Mix with 0.05 ml 5× SDS sample buffer

    • Load to 10% SDS-PAGE gels, including the standard clones

  • Dual Detection Method:

    • Measure in-gel fluorescence to detect properly folded protein

    • Perform Western blotting on the same gel to detect total protein (folded and aggregated)

  • Quantification Process:

    • Extract folded protein amount from fluorescence measurements

    • Normalize to folded reference protein (e.g., EmrD defined as 1 arbitrary unit)

    • Calculate fraction of folded and aggregated protein based on Western blot densitometry

    • Determine total protein amount by combining fluorescence and Western blot data

This assay provides a reliable quantitative method for assessing how modifications to the ygdD gene (such as engineered SD-like motifs) affect folding outcomes. The dual-detection approach allows researchers to distinguish between effects on expression level versus effects on folding efficiency, making it particularly valuable for membrane protein research .

What experimental design principles should be applied when studying ygdD translation kinetics?

When studying ygdD translation kinetics, researchers should apply several key experimental design principles:

  • Controlled Variable Isolation: Systematically isolate the effect of translation rate by implementing silent mutations that alter ribosome pausing without changing the amino acid sequence . This approach ensures that observed folding differences are attributable to translation kinetics rather than protein sequence.

  • Internal Standards Implementation: Always include reference proteins (such as emrD in folding studies) as internal standards to normalize results across experiments . This minimizes the impact of experimental variation.

  • Multiple Technical and Biological Replicates: Perform experiments with independent biological replicates and multiple technical replicates to ensure statistical robustness .

  • Randomized Sample Processing: Implement randomization in sample processing to minimize systematic biases that might affect interpretation .

  • Comparative Analysis Framework: When studying multiple proteins or conditions, use a comparative analysis framework that includes positive and negative controls. For ygdD, this might include comparing proteins with different degrees of engineered SD-like motifs .

  • Data Subset Optimization: When dealing with large datasets, consider using principled experimental design methods to select optimal data subsets for analysis, as described in modern decision theoretic optimal experimental design approaches .

What are the broader implications of ygdD research for membrane protein biology?

The research on ygdD protein has significant broader implications for membrane protein biology across multiple dimensions:

  • Translation-Folding Relationship: Studies demonstrating improved folding of ygdD through engineered translation pauses provide compelling evidence for a fundamental principle in membrane protein biology – that coordinated translation kinetics are essential for proper membrane protein integration and folding . This insight extends beyond ygdD to potentially all membrane proteins.

  • Evolutionary Adaptation: The presence of natural pause sites in 69% of membrane proteins (compared to only 50% in cytosolic proteins) suggests an evolutionary adaptation specifically developed for membrane protein biogenesis . This indicates that translation kinetics has been under selective pressure as part of quality control mechanisms.

  • Experimental Methodologies: The approach of using GFP-fusion assays and Western blotting to quantify folding efficiency provides a valuable methodological framework for studying other challenging membrane proteins .

  • Biotechnological Applications: Understanding how translation kinetics affects ygdD folding offers strategies for improving the production of correctly folded recombinant membrane proteins, addressing a persistent challenge in structural biology and pharmaceutical research .

  • Quality Control Mechanisms: The findings from ygdD research highlight how cells may naturally modulate translation rates to manage protein folding burdens, particularly when expression systems approach saturation . This provides insights into cellular quality control mechanisms.

The principles learned from ygdD research offer a pathway to improved understanding and manipulation of membrane protein biogenesis, with potential applications ranging from structural studies to therapeutic interventions targeting membrane proteins.

What are promising future research directions for ygdD protein studies?

Several promising research directions emerge from current understanding of ygdD protein:

  • Structural Characterization: Detailed structural studies of ygdD could illuminate how its structure relates to function and how translation kinetics influences folding pathways. High-resolution structures through techniques like cryo-electron microscopy would be particularly valuable .

  • Interaction Partners: Identification of ygdD interaction partners could reveal its biological role and place it within specific cellular pathways. Techniques such as proximity labeling, co-immunoprecipitation, or genetic interaction screens could uncover these relationships .

  • Physiological Function Determination: While ygdD has been valuable as a model membrane protein, its actual biological function remains unclear. Phenotypic analysis of knockout strains under various conditions could help elucidate its role .

  • Translation Kinetics Across Conditions: Investigating how translation kinetics of ygdD changes under different growth conditions or stress responses would provide insights into dynamic regulation of membrane protein biogenesis .

  • Comparative Analysis Across Species: Examining ygdD homologs across bacterial species could reveal evolutionary conservation of translation pausing mechanisms and their relationship to membrane complexity .

  • Computational Modeling: Developing predictive models of how sequence features influence translation rate and subsequent folding outcomes would extend the principles learned from ygdD to other proteins .

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