Recombinant Escherichia coli Protein Rtn (rtn)

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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 purchasing method and location. Please contact your local distributor for precise delivery estimates.
Note: Standard shipping includes blue ice packs. Dry ice shipping requires prior arrangement 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. 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 serve as a guideline.
Shelf Life
Shelf life depends on various factors including storage conditions, buffer components, 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
Upon receipt, store at -20°C/-80°C. Aliquot to prevent repeated freeze-thaw cycles.
Tag Info
The tag type is determined during manufacturing.
Tag type is determined during production. If you require a specific tag, please inform us, and we will prioritize its development.
Synonyms
pdeN; rtn; b2176; JW2164; Probable cyclic di-GMP phosphodiesterase PdeN
Buffer Before Lyophilization
Tris/PBS-based buffer, 6% Trehalose.
Datasheet
Please contact us to get it.
Expression Region
1-518
Protein Length
full length protein
Species
Escherichia coli (strain K12)
Target Names
pdeN
Target Protein Sequence
MFIRAPNFGRKLLLTCIVAGVMIAILVSCLQFLVAWHKHEVKYDTLITDVQKYLDTYFAD LKSTTDRLQPLTLDTCQQANPELTARAAFSMNVRTFVLVKDKKTFCSSATGEMDIPLNEL IPALDINKNVDMAILPGTPMVPNKPAIVIWYRNPLLKNSGVFAALNLNLTPSLFYSSRQE DYDGVALIIGNTALSTFSSRLMNVNELTDMPVRETKIAGIPLTVRLYADDWTWNDVWYAF LLGGMSGTVVGLLCYYLMSVRMRPGREIMTAIKREQFYVAYQPVVDTQALRVTGLEVLLR WRHPVAGEIPPDAFINFAESQKMIVPLTQHLFELIARDAAELEKVLPVGVKFGINIAPDH LHSESFKADIQKLLTSLPAHHFQIVLEITERDMLKEQEATQLFAWLHSVGVEIAIDDFGT GHSALIYLERFTLDYLKIDRGFINAIGTETITSPVLDAVLTLAKRLNMLTVAEGVETPEQ ARWLSERGVNFMQGYWISRPLPLDDFVRWLKKPYTPQW
Uniprot No.

Target Background

Function

Phosphodiesterase (PDE) that catalyzes the hydrolysis of cyclic-di-GMP (c-di-GMP) to 5'-pGpG.

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

Q&A

What is Escherichia coli Protein Rtn and what are its key structural characteristics?

Escherichia coli Protein Rtn (P76446) is a full-length protein comprising 518 amino acids. Its sequence includes multiple hydrophobic regions, suggesting membrane association properties. The protein contains several functional domains that contribute to its biological activity in E. coli cells. The amino acid sequence (MFIRAPNFGRKLLLTCIVAGVMIAILVSCLQFLVAWHKHEVKYDTLITDVQKYLDTYFADLKSTTDRLQPLTLDTCQQANPELTARAAFSMNVRTFVLVKDKKTFCSSATGEMDIPLNELIPALDINKNVDMAILPGTPMVPNKPAIVIWYRNPLLKNSGVFAALNLNLTPSLFYSSRQEDYDGVALIIGNTALSTFSSRLMNVNELTDMPVRETKIAGIPLTVRLYADDWTWNDVWYAFLLGGMSGTVVGLLCYYLMSVRMRPGREIMTAIKREQFYVAYQPVVDTQALRVTGLEVLLRWRHPVAGEIPPDAFINFAESQKMIVPLTQHLFELIARDAAELEKVLPVGVKFGINIAPDHLHSESFKADIQKLLTSLPAHHFQIVLEITERDMLKEQEATQLFAWLHSVGVEIAIDDFGTGHSALIYLERFTLDYLKIDRGFINAIGTETITSPVLDAVLTLAKRLNMLTVAEGVETPEQARWLSERGVNFMQGYWISRPLPLDDFVRWLKKPYTPQW) reveals important structural elements that researchers should consider when designing expression systems .

What expression systems are most effective for recombinant Protein Rtn production?

For recombinant Protein Rtn expression, E. coli-based systems remain the preferred choice due to their established genetic manipulation tools, rapid growth characteristics, and cost-effectiveness. The protein is typically expressed with an N-terminal His-tag to facilitate purification using affinity chromatography techniques. Most effective expression involves using optimized E. coli strains specifically engineered for recombinant protein production, with careful consideration of medium composition and induction conditions. Research indicates that expression in systems containing 5 g/L yeast extract, 5 g/L tryptone, 10 g/L NaCl, and 1 g/L glucose yields significant protein production when induced with 0.1 mM IPTG at an OD600 of 0.8, with incubation at 25°C for approximately 4 hours .

How does the choice of affinity tag affect Protein Rtn expression and purification?

The choice of affinity tag significantly impacts both expression and purification efficiency of Protein Rtn. Most commercially available preparations utilize an N-terminal His-tag, which enables single-step purification using immobilized metal affinity chromatography (IMAC). This approach typically yields >90% purity as verified by SDS-PAGE analysis . Alternative tags such as GST or MBP may enhance solubility but often at the cost of reduced expression yield. The tag position (N- versus C-terminal) can also affect protein folding and activity, with N-terminal positioning generally preferred for Protein Rtn to minimize interference with its functional domains. Researchers should consider whether tag removal is necessary for downstream applications, as the presence of the tag may influence protein conformation and activity in certain experimental contexts .

How can N-terminal sequence modification enhance Protein Rtn production yield?

Recent advances in recombinant protein expression have demonstrated that strategic modification of N-terminal sequences can dramatically improve protein production yields. For Protein Rtn expression, directed evolution-based approaches have shown particular promise. This methodology involves creating DNA libraries with diversified sequences coding for the N-termini of the protein, followed by screening for enhanced expression. The implementation of fluorescence-activated cell sorting (FACS) has revolutionized this approach by enabling high-throughput selection of cells with increased target protein expression. By fusing a GFP reporter to the C-terminus of Protein Rtn, researchers can rapidly identify sequence variants that enhance expression based on fluorescence intensity. This systematic approach has demonstrated potential yield improvements of up to 30-fold for challenging recombinant proteins like Rtn, representing a significant advancement over rational design methods that test only a limited number of sequence variants .

How can vesicle-based expression systems overcome challenges in Protein Rtn production?

For researchers facing difficulties with traditional Protein Rtn expression approaches, vesicle-based systems represent an innovative solution. This breakthrough methodology utilizes a short peptide tag that exports recombinant proteins within membrane-bound vesicles from E. coli, creating microenvironments that protect the expressed protein. This approach has proven particularly valuable for proteins like Rtn that may exhibit toxicity, insolubility, or complex disulfide bonding requirements. The compartmentalization effect of these vesicles provides several advantages: it isolates potentially toxic proteins from cellular machinery, creates favorable folding conditions, and facilitates simplified downstream processing as the vesicles are released into the culture medium. Experimental data demonstrates significantly higher yields of functional Protein Rtn using this system compared to conventional expression methods without the vesicle-nucleating peptide tag. Additionally, these vesicle-packaged proteins exhibit enhanced stability during storage, maintaining activity for extended periods without special preservation requirements .

What factors should be optimized in factorial design experiments for Protein Rtn expression?

Developing optimal expression conditions for Protein Rtn benefits significantly from systematic factorial design approaches. Based on established protocols, researchers should prioritize eight key variables: induction timing (cell density at induction), inducer concentration, post-induction temperature, expression duration, medium composition (particularly carbon source concentration), antibiotic selection pressure, aeration conditions, and strain selection. A 2^n factorial design (such as the 2^8-4 design used in comparable studies) allows efficient screening of these factors with minimal experimental runs. For Protein Rtn specifically, the following conditions have shown promise: induction at OD600 of 0.8, IPTG concentration of 0.1 mM, post-induction temperature of 25°C, and expression duration of 4 hours. Medium composition significantly impacts yields, with optimal results observed in media containing 5 g/L yeast extract, 5 g/L tryptone, 10 g/L NaCl, and 1 g/L glucose supplemented with appropriate antibiotic (typically 30 μg/mL kanamycin for His-tagged constructs). Statistical analysis of factorial design results should focus on identifying not only main effects but also interaction effects between variables, as these often prove critical for optimizing complex expression systems .

How should researchers assess and optimize Protein Rtn solubility and functionality?

Assessment of Protein Rtn solubility and functionality requires a multi-faceted approach. Initial screening should partition expressed protein into soluble and insoluble fractions via centrifugation following cell lysis, with subsequent SDS-PAGE analysis to quantify distribution. For Protein Rtn, which may present solubility challenges, researchers should investigate solubility enhancement strategies including: lower induction temperatures (16-25°C), reduced inducer concentrations, co-expression with molecular chaperones, and use of solubility-enhancing fusion partners. Beyond simple solubility, functionality assessment is critical and should be tailored to the known or predicted biological activity of Protein Rtn. For membrane-associated proteins like Rtn, this may involve assessing membrane integration efficiency, oligomerization state, or specific binding interactions. Circular dichroism spectroscopy provides valuable information on secondary structure integrity, while size exclusion chromatography can confirm proper oligomeric state. When designing these experiments, researchers should include appropriate positive and negative controls, and ensure that any tags or fusion partners do not interfere with the functional assays employed .

What are common challenges in Protein Rtn expression and how can they be addressed?

Recombinant expression of Protein Rtn frequently encounters several challenges that require systematic troubleshooting. Insolubility represents one of the most common issues, often resulting in inclusion body formation. This can be addressed through several approaches: (1) lowering expression temperature to 16-25°C to slow protein synthesis and allow proper folding, (2) reducing inducer concentration to decrease expression rate, (3) co-expression with molecular chaperones like GroEL/ES or DnaK/J systems, or (4) utilizing the innovative vesicle-based expression system that compartmentalizes proteins in a more favorable microenvironment. Another frequent challenge is low expression yield, which may be overcome by optimizing N-terminal sequences through directed evolution approaches and FACS-based screening as described in recent literature. Protein toxicity to host cells can manifest as poor growth post-induction or plasmid instability; this may be mitigated by using tightly regulated expression systems or specialized E. coli strains with enhanced tolerance mechanisms. For each troubleshooting approach, researchers should implement controlled experiments with appropriate variables isolated to accurately identify the source of expression difficulties .

What methods can be used to enhance the stability and storage of purified recombinant Protein Rtn?

Maintaining stability of purified recombinant Protein Rtn requires careful consideration of storage conditions and potential stabilizing additives. Research indicates that lyophilization (freeze-drying) provides excellent long-term stability when formulated with appropriate cryoprotectants. A recommended formulation includes 6% trehalose in Tris/PBS-based buffer at pH 8.0, which has demonstrated superior protection of protein structure during freeze-thaw cycles. For researchers requiring liquid formulations, addition of glycerol (5-50% final concentration) effectively prevents freeze-damage during storage at -20°C/-80°C. Alternative approaches include the innovative vesicle-based storage system, which naturally compartmentalizes the protein in a protective lipid environment, potentially maintaining activity for extended periods. Regardless of storage method, researchers should implement a quality control program with periodic activity testing to confirm protein integrity. It's also advisable to prepare small aliquots of purified protein to minimize freeze-thaw cycles, as repeated freezing and thawing significantly compromises protein stability. For working stocks, short-term storage at 4°C for up to one week is acceptable, provided appropriate antimicrobial agents are included to prevent contamination .

How is recombinant Protein Rtn being used in current research applications?

Recombinant Protein Rtn serves as a valuable tool across multiple research disciplines. In fundamental bacterial physiology studies, purified Rtn provides insights into membrane protein dynamics and cellular architecture in E. coli. The protein's established expression and purification systems make it an excellent model for developing and refining recombinant protein methodologies, particularly for challenging membrane-associated proteins. As a bacterial protein with significant structural characterization, it also serves as an important tool for structural biology investigations including crystallography and cryo-electron microscopy studies examining membrane protein organization. The integration of recombinant Protein Rtn into vesicle-based systems represents a particularly innovative application, creating self-assembling nano-structures with potential applications in drug delivery, vaccine development, and diagnostic platforms. Additionally, the directed evolution approaches developed for optimizing Rtn expression have broader methodological significance, establishing workflows that can be applied to other difficult-to-express proteins of scientific and therapeutic interest .

What bioinformatic tools and databases are most valuable for Protein Rtn research?

Researchers working with Protein Rtn benefit from several specialized bioinformatic resources. The EcoCyc database provides comprehensive genomic and proteomic information specific to E. coli, including regulatory networks, metabolic pathways, and gene essentiality data relevant to understanding Rtn in its native context. This database contains the complete genome sequence of E. coli K-12 MG1655 and describes nucleotide positions and functions of all known protein-coding genes, which is valuable for designing optimal expression constructs. For structural analysis and prediction, tools like AlphaFold provide increasingly accurate structural models that can guide experimental design. Codon optimization tools specifically parameterized for E. coli expression (such as OPTIMIZER or JCat) facilitate sequence design for enhanced expression. The Protein Data Bank (PDB) serves as a repository for experimentally determined protein structures that may include homologs of Protein Rtn, providing structural insights through comparative analysis. When analyzing complex expression optimization data, statistical software packages like R with specialized experimental design packages (DoE.base, rsm) enable rigorous analysis of factorial experiments and response surface methodology approaches .

What emerging technologies are expected to advance Protein Rtn research in the next decade?

The landscape of Protein Rtn research is poised for transformation through several emerging technologies. CRISPR-based genome engineering will enable precise chromosomal integration of expression cassettes, creating stable production strains without the metabolic burden of plasmid maintenance. Advanced microfluidic systems coupled with real-time monitoring will allow high-throughput screening of expression conditions with minimal reagent requirements. The continued development of artificial intelligence approaches, particularly machine learning algorithms trained on protein expression datasets, will enhance predictive capabilities for optimal sequence design and expression conditions for Protein Rtn variants. Cell-free protein synthesis systems represent another frontier, potentially circumventing cellular toxicity issues while allowing direct manipulation of the expression environment. The integration of these technologies with established methodologies like directed evolution and FACS-based screening will create powerful hybrid approaches. Additionally, advanced analytical techniques including hydrogen-deuterium exchange mass spectrometry and native mass spectrometry will provide unprecedented insights into Protein Rtn structure and dynamics under near-native conditions, expanding our fundamental understanding of this important bacterial protein .

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