Recombinant Probable 4-amino-4-deoxy-L-arabinose-phosphoundecaprenol flippase subunit ArnE (arnE)

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Product Specs

Form
Lyophilized powder
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Lead Time
Delivery time may vary depending on the purchasing method and location. Please consult your local distributors for specific delivery timelines.
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Notes
Repeated freezing and thawing is not recommended. For short-term storage, store working aliquots at 4°C for up to one week.
Reconstitution
For optimal reconstitution, we recommend centrifuging the vial briefly prior to opening to gather the contents at the bottom. Reconstitute the protein in sterile, deionized water to a concentration of 0.1-1.0 mg/mL. We suggest adding 5-50% glycerol (final concentration) and aliquoting for long-term storage at -20°C/-80°C. Our default glycerol concentration is 50% and can be used as a reference.
Shelf Life
The shelf life is influenced by several factors, including storage conditions, buffer composition, temperature, and the inherent stability of the protein.
Generally, liquid forms have a shelf life of 6 months at -20°C/-80°C. Lyophilized forms have a shelf life of 12 months at -20°C/-80°C.
Storage Condition
Upon receipt, store at -20°C/-80°C. Aliquoting is essential for multiple uses. Avoid repeated freeze-thaw cycles.
Tag Info
Tag type will be determined during the manufacturing process.
The tag type is decided during production. If you have a specific tag requirement, please inform us, and we will prioritize developing the specified tag.
Synonyms
arnE; SF2336.1; S2567; Probable 4-amino-4-deoxy-L-arabinose-phosphoundecaprenol flippase subunit ArnE; L-Ara4N-phosphoundecaprenol flippase subunit ArnE; Undecaprenyl phosphate-aminoarabinose flippase subunit ArnE
Buffer Before Lyophilization
Tris/PBS-based buffer, 6% Trehalose.
Datasheet
Please contact us to get it.
Expression Region
1-111
Protein Length
full length protein
Species
Shigella flexneri
Target Names
arnE
Target Protein Sequence
MIWLTLVFASLLSVAGQLCQKQATCFVAINKRRKHIVLWLGLALACLGLAMMLWLLVLQN VPVGIAYPMLSLNFVWVTLAAVKLWHEPVSPRHWCGVAFIIGGIVILGSTV
Uniprot No.

Target Background

Function
This protein functions as a translocator, moving 4-amino-4-deoxy-L-arabinose-phosphoundecaprenol (alpha-L-Ara4N-phosphoundecaprenol) from the cytoplasmic to the periplasmic side of the inner membrane.
Database Links

KEGG: sfx:S2567

Protein Families
ArnE family
Subcellular Location
Cell inner membrane; Multi-pass membrane protein.

Q&A

What is ArnE and what is its primary function in bacterial systems?

ArnE (previously designated as PmrM) is a subunit of the undecaprenyl phosphate-aminoarabinose flippase complex that plays a crucial role in lipopolysaccharide (LPS) modification. The protein functions by transporting undecaprenyl phosphate-α-L-Ara4N across the inner membrane, which is subsequently used to modify lipid A . This modification is required for resistance to polymyxin and cationic antimicrobial peptides in various bacterial species.

The functional ArnE protein typically works in conjunction with ArnF (previously known as PmrL), with these two proteins potentially functioning as subunits of a complete undecaprenyl phosphate-α-L-Ara4N flippase mechanism . This transport mechanism is essential for delivering the L-Ara4N group to the outer surface of the inner membrane, where it can then be transferred to lipid A by the ArnT enzyme.

What expression systems are recommended for producing recombinant ArnE?

For recombinant expression of ArnE, E. coli has been established as the most effective expression system . The expression protocol typically involves:

  • Gene synthesis or PCR amplification of the arnE gene

  • Cloning into an appropriate expression vector (commonly with an N-terminal His-tag for purification)

  • Transformation into E. coli expression strains

  • Induction of protein expression

  • Cell lysis and protein purification

For optimal expression, consider these parameters:

ParameterRecommended ConditionNotes
Host strainE. coli BL21(DE3)Reduces proteolytic degradation
Expression vectorpET-based systemsAllows tight control of expression
Induction0.5-1.0 mM IPTGLower concentrations may improve solubility
Temperature18-25°C post-inductionReduced temperature often improves folding
Duration16-20 hoursExtended expression time at lower temperatures

As ArnE is a membrane protein, solubilization using appropriate detergents during the purification process is crucial for maintaining structural integrity and function .

What are the key structural features of ArnE?

ArnE is a relatively small membrane protein (111 amino acids in Shigella flexneri) with multiple transmembrane domains . Key structural features include:

  • N-terminal His-tag (in recombinant versions)

  • Multiple transmembrane helices

  • Hydrophobic core sequences that anchor the protein in the membrane

  • Amino acid sequence: MIWLTLVFASLLSVAGQLCQKQATCFVAINKRRKHIVLWLGLALACLGLAMMLWLLVLQNVPVGIAYPMLSLNFVWVTLAAVKLWHEPVSPRHWCGVAFIIGGIVILGSTV

While no high-resolution structure is available in the search results, ArnE likely adopts a conformation that allows it to interact with membrane lipids and facilitate the flipping of undecaprenyl phosphate-L-Ara4N across the membrane bilayer, similar to other flippase mechanisms studied in P4-ATPases .

How does recombinant ArnE differ from native ArnE?

Recombinant ArnE typically includes modifications to facilitate expression, purification, and experimental manipulation:

FeatureNative ArnERecombinant ArnE
TagsNoneUsually includes His-tag or other affinity tags
Expression levelNatural physiological levelsOverexpressed at high concentrations
PurityPart of membrane protein complexCan be isolated to >90% homogeneity
SolubilityMembrane-integratedOften solubilized with detergents
FunctionPart of functional complex with ArnFMay require reconstitution with ArnF for full activity

These differences must be considered when interpreting experimental results, as the recombinant form may exhibit altered activity or require specific conditions to maintain native-like function .

What regulatory mechanisms control ArnE function, and how can they be experimentally manipulated?

While the specific regulatory mechanisms for ArnE are not fully characterized in the search results, insights can be drawn from studies of other flippases like the P4-ATPases:

  • Phosphorylation-based regulation: Like Dnf1p and Dnf2p, which are regulated by phosphorylation via kinases Fpk1 and Fpk2 , ArnE function might be controlled by phosphorylation. Experimental approaches could include:

    • Site-directed mutagenesis of potential phosphorylation sites

    • In vitro phosphorylation assays

    • Phosphoproteomic analysis

  • Protein-protein interactions: ArnE likely functions in complex with ArnF and potentially other proteins. These interactions could be investigated through:

    • Co-immunoprecipitation

    • Yeast two-hybrid screening

    • Cross-linking mass spectrometry

    • Blue native PAGE analysis

  • Lipid environment effects: Like the regulation of Dnf1p/Dnf2p by sphingolipids , ArnE might be regulated by specific lipids. This could be tested by:

    • Varying lipid composition in reconstitution experiments

    • Lipid binding assays

    • Activity assays in the presence of different lipids

  • Gene expression regulation: The arnE gene is part of the PmrA/PmrB two-component regulatory system that responds to environmental signals. This regulation could be studied through:

    • Reporter gene assays

    • Quantitative RT-PCR under various conditions

    • Chromatin immunoprecipitation to identify transcription factor binding

Understanding these regulatory mechanisms could provide insights into how bacteria modulate antimicrobial resistance in response to environmental conditions .

How do I address contradictory findings in ArnE functional characterization?

Contradictory data is common in complex biological systems, particularly with membrane proteins like ArnE. Rather than dismissing contradictions, a systematic approach should be employed:

  • Experimental conditions analysis:

    • Compare buffer compositions, pH, temperature, and ionic strength across studies

    • Examine differences in protein preparation methods

    • Consider variations in lipid composition of reconstitution systems

  • Methodological triangulation:

    • Apply multiple orthogonal techniques to address the same question

    • Compare in vitro, in vivo, and in silico approaches

    • Validate findings across different experimental systems

  • Biological context considerations:

    • Evaluate strain-specific differences in ArnE function

    • Consider potential regulatory factors present in some systems but not others

    • Examine the impact of experimental timescales on observed function

  • Statistical and analytical robustness:

    • Apply appropriate statistical tests to determine significance of differences

    • Consider biological versus technical variability

    • Perform meta-analysis of multiple datasets when available

As noted in research on data contradictions, embracing contradictory findings often leads to the most valuable insights rather than attempting to elevate one source over another . Contradictions can point to context-dependent functions or reveal previously unrecognized regulatory mechanisms.

What are the current approaches for structural studies of membrane proteins like ArnE?

Structural characterization of membrane proteins like ArnE presents significant challenges. Based on advances in structural biology, the following approaches are recommended:

  • Cryo-electron microscopy (cryo-EM):

    • Particularly effective for membrane proteins in various conformational states

    • Can capture ArnE in native-like lipid environments using nanodiscs

    • May require stabilization of the ArnE-ArnF complex

  • X-ray crystallography:

    • Requires detergent-solubilized protein and crystallization optimization

    • Lipidic cubic phase (LCP) crystallization may preserve functional conformation

    • Often requires thermostabilizing mutations or fusion partners

  • NMR spectroscopy:

    • Solution NMR suitable for smaller membrane proteins like ArnE

    • Solid-state NMR applicable to larger complexes in native-like environments

    • Can provide dynamic information complementary to static structures

  • Computational approaches:

    • Homology modeling based on related flippases with known structures

    • Molecular dynamics simulations to study substrate interaction and transport

    • AlphaFold2 and similar AI tools now producing reliable membrane protein models

These approaches have been successful for structurally characterizing other flippases, such as the P4-ATPase phosphatidylcholine flippases , and similar strategies could be applied to ArnE. The structural data from these methods can reveal the substrate-binding site, transport pathway, and potential regulatory interfaces.

What experimental design approaches optimize recombinant ArnE expression and functional characterization?

Optimization of recombinant ArnE expression and characterization can benefit from systematic experimental design:

  • Factorial experimental design:

    • Systematically vary expression parameters (temperature, induction time, media)

    • Use statistical analysis to identify optimal conditions

    • This approach has yielded high-level expression (250 mg/L) of other recombinant proteins

  • Construct optimization:

    • Test multiple affinity tags (His, GST, MBP) for improved solubility

    • Create fusion constructs with well-folding partners

    • Design truncation constructs to identify minimal functional domains

  • Purification strategy development:

    • Implement two-step purification to achieve >90% homogeneity

    • Screen detergents for optimal solubilization while maintaining function

    • Consider amphipol or nanodisc reconstitution for enhanced stability

  • Functional assay development:

    • Design activity assays based on physiological function

    • Include positive and negative controls in all experiments

    • Validate with complementary approaches (genetic, biochemical)

A sample experimental design matrix for optimization:

VariableLevel 1Level 2Level 3
Expression temperature16°C25°C37°C
IPTG concentration0.1 mM0.5 mM1.0 mM
Media compositionLBTBAutoinduction
Detergent typeDDMLMNGDigitonin
Affinity tagN-terminal HisC-terminal HisMBP fusion

Implementing this design would require 3^5 = 243 experiments for a full factorial design, but fractional factorial designs can reduce this to a manageable number while still capturing key interactions between variables .

How can recombinant ArnE research contribute to antimicrobial resistance studies and drug development?

Understanding ArnE function has significant implications for addressing antimicrobial resistance:

  • Target validation:

    • Confirm ArnE's role in resistance through knockout/complementation studies

    • Quantify the contribution of L-Ara4N modification to polymyxin resistance

    • Identify structural elements essential for function through mutagenesis

  • Inhibitor development:

    • Design high-throughput screening assays to identify ArnE inhibitors

    • Perform structure-based drug design once structural data is available

    • Develop peptidomimetics targeting the ArnE-ArnF interface

  • Resistance mechanism characterization:

    • Examine how bacteria regulate ArnE expression in response to antibiotics

    • Investigate cross-talk between different resistance mechanisms

    • Identify potential synergistic targets to combat resistance

  • Novel therapeutic approaches:

    • Explore combination therapies targeting ArnE alongside conventional antibiotics

    • Develop adjuvants that sensitize resistant bacteria by inhibiting ArnE

    • Create diagnostic tools to rapidly identify resistance mechanisms involving ArnE

Research on ArnE contributes to the broader understanding of bacterial adaptation mechanisms and provides new avenues for combating the growing challenge of antimicrobial resistance by targeting lipid A modification pathways .

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