Recombinant Lectin alpha chain

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Description

Production Methods

Recombinant alpha chains are typically expressed in microbial systems such as Escherichia coli or Pichia pastoris:

Bacterial Expression Systems

  • E. coli:

    • Used for non-glycosylated alpha chains (e.g., rDSL), yielding 74 mg/L of culture with affinity chromatography purification .

    • Advantages include scalability and cost-effectiveness .

  • Limitations: Insoluble expression issues for complex lectins, necessitating refolding steps .

Yeast Expression Systems

  • Pichia pastoris:

    • Produces glycosylated lectins (e.g., recombinant frutalin), though yields are lower compared to bacterial systems .

    • Retains bioactivity for applications like cancer biomarker detection .

Carbohydrate-Binding Specificity

Recombinant alpha chains exhibit tailored glycan recognition:

  • AAL mutants:

    • N224Q mutation increases α-1,6-fucose binding by >2-fold compared to wild-type .

    • Domain-swapped mutants (e.g., X-2,4) reduce α-1,6-fucose affinity while maintaining binding to α-1,2/3/4-linked fucose .

  • rDSL: Binds glioma cell surface glycans (C6 and U87 cell lines), suggesting utility in cancer targeting .

Biomedical Applications

ApplicationExampleSource
Cancer researchRecombinant frutalin induces apoptosis in prostate cancer cells .
Diagnostic toolsEngineered AAL mutants detect disease-specific fucosylated serum biomarkers .
Vascular pharmacologyrDSL shows 100% vasorelaxant efficacy in rat aortic models .

Comparative Advantages Over Native Lectins

ParameterRecombinant Alpha ChainsNative Lectins
SpecificityEnhanced via site-directed mutagenesis Broad, less predictable
Batch consistencyHigh (genetically controlled) Variable due to natural isoforms
ScalabilitySuitable for industrial production Limited by plant/animal sources

Challenges and Future Directions

  • Glycosylation limitations: Bacterial systems lack post-translational modifications, necessitating yeast for glycosylated forms .

  • Activity optimization: Mutagenesis can inadvertently reduce stability or expression yields .

  • Emerging trends: Fusion proteins with tags (e.g., His-tag) for streamlined purification and biosensor integration .

Product Specs

Form
Lyophilized powder. We will ship the in-stock format preferentially. If you have special format requirements, please note them when ordering.
Lead Time
Delivery times vary by purchase method and location. Consult your local distributor for specific delivery times. All proteins are shipped with standard blue ice packs. Request dry ice shipment in advance (extra fees apply).
Notes
Avoid repeated freeze-thaw cycles. Store working aliquots at 4°C for up to one week.
Reconstitution
Briefly centrifuge the vial before opening. Reconstitute protein in sterile deionized water to 0.1-1.0 mg/mL. Add 5-50% glycerol (final concentration) and aliquot for long-term storage at -20°C/-80°C. Our default final glycerol concentration is 50%.
Shelf Life
Shelf life depends on storage conditions, buffer components, temperature, and protein stability. Liquid form: 6 months at -20°C/-80°C. Lyophilized form: 12 months at -20°C/-80°C.
Storage Condition
Store at -20°C/-80°C upon receipt. Aliquot for multiple uses. Avoid repeated freeze-thaw cycles.
Tag Info
Tag type is determined during manufacturing. If you require a specific tag, please inform us and we will prioritize its development.
Synonyms
Lectin alpha chain [Cleaved into: Lectin beta chain; Lectin gamma-1 chain; Lectin gamma-2 chain]
Buffer Before Lyophilization
Tris/PBS-based buffer, 6% Trehalose.
Datasheet
Please contact us to get it.
Expression Region
1-237
Protein Length
full length protein
Purity
>85% (SDS-PAGE)
Species
Dioclea guianensis
Target Protein Sequence
ADTIVAVELD SYPNTDIGDP SYPHIGIDIK SIRSKSTARW NMQTGKVGTA HISYNSVAKR LSAVVSYTGS SSTTVSYDVD LNNVLPEWVR VGLSATTGLY KETNTILSWS FTSKLKTNSI ADANSLHFSF NQFSQNPKDL ILQSDATTDS DGNLELTKVS SSGDPQGSSV GRALFYAPVH IWEKSAVVAG FDATFTFLIK SPDRDPADGI TFFIANTDTS IPSGSGGRLL GLFPDAN
Uniprot No.

Target Background

Function
D-mannose/D-glucose-binding lectin with anti-inflammatory activity in rats. Induces histamine release in rat mast cells, lymphocyte proliferation, and interferon-gamma (IFNγ) production.
Protein Families
Leguminous lectin family

Q&A

What are recombinant lectin alpha chains and how do they differ from native lectins?

Recombinant lectin alpha chains are protein subunits of lectins produced through heterologous expression systems rather than extracted from natural sources. Lectins are proteins that specifically bind to glycans, the chain-like structures of carbohydrate molecules produced by almost all living organisms. While native lectins are traditionally extracted from sources like legumes (beans, lentils, peas) and whole grains (wheat), recombinant lectins are expressed in controlled laboratory systems .

The key differences include:

  • Higher purity and consistency compared to native preparations

  • Ability to introduce specific mutations for altered binding properties

  • Freedom from contaminating proteins often present in native preparations

  • Potential for larger-scale production with consistent batch-to-batch quality

  • Opportunity to express just the alpha chain rather than the complete multimeric protein

What expression systems are commonly used for recombinant lectin alpha chains?

Recombinant lectin alpha chains are typically expressed in microbial expression systems, with the most common being:

Expression SystemAdvantagesLimitations
Escherichia coliHigh yield, cost-effective, rapid expressionPotential for insoluble expression, lack of eukaryotic post-translational modifications
Pichia pastorisEukaryotic processing, potential for higher solubilityLonger expression time, more complex media requirements
Baculovirus systemsComplex eukaryotic folding machinery, suited for larger proteinsHigher cost, more technically demanding

Most published research on recombinant lectins utilizes E. coli expression systems due to their simplicity and cost-effectiveness, though insolubility can be a significant challenge that must be addressed through optimization strategies .

What are the primary applications of recombinant lectin alpha chains in research?

Recombinant lectin alpha chains serve multiple crucial functions in scientific research:

  • Glycan Analysis: They are utilized as tools for analyzing glycosylation patterns on proteins using techniques like high-performance liquid chromatography (HPLC) and mass spectrometry (MS) .

  • Biopharmaceutical Development: They play an essential role in characterizing the glycosylation profiles of therapeutic antibodies and other biologic drugs, which represents a critical quality attribute (CQA) for ensuring drug safety and efficacy .

  • Enzyme-Linked Lectin Assays (ELLA): Similar to ELISA, these assays employ lectins to detect specific glycan structures, offering valuable insights into glycosylation changes associated with various biological processes or disease states .

  • Glycoprotein Purification: Recombinant lectins with defined specificity can be immobilized for affinity chromatography to isolate glycoproteins with particular glycan structures .

  • Structural and Functional Studies: Engineered recombinant lectins can serve as valuable tools for investigating structure-function relationships in glycobiology .

How can site-directed mutagenesis enhance the specificity of recombinant lectins?

Site-directed mutagenesis represents a powerful approach to alter binding specificities of recombinant lectins to target specific glycan structures. For example, with Aleuria aurantia lectin (AAL), researchers have successfully modified its binding properties through strategic amino acid substitutions in key binding sites:

  • Targeted mutation of binding pockets: The N224Q mutation in the binding site 5 of AAL significantly increased its binding specificity for α-1,6 fucose-linked analytes. This mutation replaced an asparagine (N) with glutamine (Q), extending the side chain by one carbon and enhancing hydrogen bonding potential within the binding pocket .

  • Domain swapping approach: Researchers created a rAAL molecule with a 1-2-4-2-4-6 β-propeller arrangement (X-2,4), effectively re-iterating binding sites with higher affinity for α-1,2, α-1,3, and α-1,4 linked fucosylated oligosaccharides. This construct maintained binding to these fucose linkages while showing decreased affinity for α-1,6 fucose linkages .

  • Data-driven mutation design: Crystal structure analysis revealed that high-affinity binding sites (2 and 4) contain glutamine residues that coordinate with other amino acids to maintain secondary structure required for binding, while lower-affinity sites (3 and 5) contain asparagine at these positions .

Experimental results demonstrate these engineered differences quantitatively:

Recombinant Lectin VariantRelative Binding to α-1,6 FucoseRelative Binding to α-1,2/3/4 Fucose
Wild-type rAALBaselineBaseline
N224Q mutant>2-fold higher than wild-typeSimilar to wild-type
X-2,4 domain swap8-10-fold lower than N224QSimilar to wild-type
Native AAL (commercial)8-10-fold lower than N224Q3-5-fold lower than recombinant variants

These findings illustrate how strategic mutations can create recombinant lectins with tailored binding profiles for specific research applications .

What strategies effectively overcome insoluble expression of recombinant lectin alpha chains?

Insoluble expression represents a significant challenge when producing recombinant lectin alpha chains in E. coli systems. Several strategies have proven effective in addressing this issue:

  • Expression condition optimization:

    • Temperature reduction during induction (typically 16-20°C)

    • Decreased IPTG concentration for slower, more controlled expression

    • Extended expression time at lower temperatures

    • Use of specialized media formulations that promote proper folding

  • Fusion tag approaches:

    • Solubility-enhancing fusion partners (MBP, SUMO, TrxA, GST)

    • Inclusion of specific affinity tags that also enhance solubility

    • Optimized linker sequences between the tag and target protein

  • Co-expression strategies:

    • Co-expression with molecular chaperones (GroEL/GroES, DnaK/DnaJ)

    • Co-expression with folding enhancers

    • Specialized E. coli strains engineered for enhanced disulfide bond formation

  • Refolding protocols:

    • Controlled solubilization of inclusion bodies

    • Step-wise dialysis with decreasing denaturant concentrations

    • Addition of stabilizing agents during refolding

    • Pulse renaturation techniques

The selection of appropriate strategies depends on the specific properties of the lectin being expressed, with successful approaches often combining multiple methods to achieve optimal results .

How do the binding characteristics of recombinant lectins compare to their native counterparts?

Comparative analyses between recombinant and native lectins reveal significant differences in binding characteristics that researchers must consider:

  • Binding affinity differences: Studies with Aleuria aurantia lectin (AAL) demonstrated that recombinant variants typically exhibit 3-5 fold higher binding to fucosylated targets compared to commercially available native AAL. This indicates that recombinant production can potentially preserve or even enhance critical binding properties .

  • Binding site integrity: Crystal structure analysis of lectins like AAL reveals that native lectins may have naturally varying affinities across their multiple binding sites. Recombinant lectins can maintain this natural variation or be engineered to alter specific binding sites. For instance, the high-affinity binding sites (2 and 4) in AAL preferentially bind α-1,2, α-1,3, and α-1,4 linked fucosylated oligosaccharides, while showing lower affinity for α-1,6 fucose linkages .

  • Detection of binding differences: Lectin-FLISA (Fluorescence-Linked Immunosorbent Assay) experiments demonstrated that recombinant AAL proteins generally bound fucose-linked BSA conjugates with approximately the same affinity, while native commercial lectin binding was typically 3-5 fold less than the recombinant proteins for α-1,2, α-1,3, and α-1,4 fucose linkages .

  • Specificity engineering: The N224Q mutation in recombinant AAL increased binding to α-1,6 fucose by more than 2-fold compared to wild-type recombinant AAL and 8-10 fold higher than both the X-2,4 mutant and native AAL, demonstrating how recombinant technology can create lectins with enhanced specificity profiles not found in nature .

These differences highlight the potential advantages of recombinant lectins while also emphasizing the importance of careful characterization when replacing native lectins with recombinant versions in established protocols.

What expression and purification strategies yield optimal results for recombinant lectin alpha chains?

Optimal expression and purification of recombinant lectin alpha chains requires careful consideration of multiple factors:

Expression Strategy Selection:

FactorRecommended ApproachRationale
Expression HostBL21(DE3) E. coli strainReduced protease activity, T7 RNA polymerase compatibility
Expression VectorpET28a or similar T7-based vectorsTight regulation, high expression potential, tag options
Induction Conditions0.1-0.5 mM IPTG, 16-25°C, 16-24 hoursBalances expression rate with proper folding time
Media CompositionEnriched media (TB, 2YT) or defined mediaSupports higher cell density and protein yield

Purification Strategy:

  • Initial Capture: Immobilized metal affinity chromatography (IMAC) using His-tagged constructs represents the most common first purification step, with optimized imidazole gradient elution to minimize contaminants .

  • Secondary Purification: Size exclusion chromatography (SEC) effectively removes aggregates and ensures proper oligomeric state, particularly important for lectins that function as multimers.

  • Activity-Based Purification: Affinity chromatography using immobilized carbohydrates specific to the lectin can provide both purification and confirmation of activity.

  • Quality Control: Assessment of purity (SDS-PAGE, SEC-HPLC), activity (glycan binding assays), and structural integrity (circular dichroism, thermal shift assays).

These strategies have been successfully employed in the production of various recombinant lectins, including the Canavalia brasiliensis lectin, which was expressed in E. coli using the pET28a vector and BL21(DE3) strain, demonstrating the effectiveness of this approach .

How can researchers verify the structural integrity and binding functionality of recombinant lectins?

Comprehensive characterization of recombinant lectins requires multiple analytical approaches:

  • Structural Characterization:

    • Circular Dichroism (CD) Spectroscopy: Provides information about secondary structure elements (α-helices, β-sheets)

    • Thermal Shift Assays: Measures protein stability and effects of mutations on folding

    • Size Exclusion Chromatography: Confirms proper oligomeric state and absence of aggregation

    • Dynamic Light Scattering: Assesses size distribution and potential aggregation

    • Limited Proteolysis: Evaluates structural integrity by comparing digestion patterns

  • Functional Analysis:

    • Enzyme-Linked Lectin Assays (ELLA): Quantifies binding to immobilized glycoconjugates

    • Surface Plasmon Resonance (SPR): Determines binding kinetics and affinity constants

    • Isothermal Titration Calorimetry (ITC): Measures thermodynamic parameters of lectin-glycan interactions

    • Glycan Microarray Analysis: Profiles binding across diverse glycan structures

    • Hemagglutination Assays: Tests functional activity through red blood cell agglutination

  • Comparative Analysis:

    • Side-by-side comparison with native lectins using glycoprotein targets

    • Competition assays with known ligands

    • Inhibition studies with free carbohydrates

As demonstrated in studies with recombinant AAL variants, lectins with altered binding specificities should be assessed using multiple glycoconjugates with different linkages. For example, α-1,2, α-1,3, and α-1,4 fucose-linked BSA glycoconjugates along with human IgG0 (containing α-1,6 fucose) were used to comprehensively characterize the binding profiles of wild-type and mutant lectins .

What approaches enable fine-tuning of recombinant lectin specificity for glycan analysis?

Researchers can employ several sophisticated approaches to fine-tune recombinant lectin specificity:

  • Rational Design Based on Structural Data:

    • Analysis of crystal structures to identify key residues in binding pockets

    • Molecular modeling to predict effects of mutations

    • Structure-guided mutagenesis targeting specific binding sites

  • Binding Site Modifications:

    • Point mutations at critical residues, as demonstrated with the N224Q mutation in AAL that significantly enhanced binding to α-1,6 fucose linkages

    • Modification of hydrogen bonding networks within binding pockets

    • Alteration of binding pocket depth or width to accommodate specific glycan structures

  • Domain Engineering:

    • Creation of chimeric lectins combining domains from different sources

    • Domain swapping to reiterate high-affinity binding sites, as seen in the X-2,4 AAL variant with a 1-2-4-2-4-6 β-propeller arrangement

    • Domain deletion or addition to modify multivalent binding properties

  • Directed Evolution:

    • Creation of lectin variant libraries

    • Selection strategies based on desired binding properties

    • Iterative refinement through multiple rounds of selection

  • Validation of Modified Specificity:

    • Comparative analysis using glycan arrays

    • Quantitative binding assays with model glycoconjugates

    • Application testing with complex biological samples

The effectiveness of these approaches is demonstrated by the significant differences in binding specificity achieved with engineered AAL variants. While the wild-type recombinant AAL bound to various fucose linkages, the N224Q mutant displayed more than 2-fold higher binding to α-1,6 fucose compared to wild-type, and the X-2,4 domain swap mutant showed 8-10 fold lower binding to α-1,6 fucose while maintaining binding to other fucose linkages .

Why might recombinant lectins exhibit altered binding properties compared to native versions?

Several factors can contribute to differences between recombinant and native lectin binding properties:

Comparative studies between native and recombinant AAL showed that native commercial lectin typically exhibits 3-5 fold lower binding than recombinant proteins to fucose-linked BSA conjugates. Interestingly, while native AAL shows similar binding across different fucose linkages, recombinant variants displayed significantly different binding profiles for α-1,6 fucose compared to α-1,2, α-1,3, and α-1,4 linkages .

What strategies effectively troubleshoot recombinant lectin expression problems?

When facing challenges with recombinant lectin expression, researchers can implement a systematic troubleshooting approach:

  • Low Expression Yield:

    • Optimize codon usage for expression host

    • Test multiple expression strains (BL21, Rosetta, Origami)

    • Evaluate different media formulations (LB, TB, 2YT, auto-induction)

    • Optimize induction parameters (OD600 at induction, IPTG concentration, temperature)

    • Consider alternative promoter systems if T7 is problematic

  • Insoluble Expression/Inclusion Bodies:

    • Reduce expression temperature (16-20°C)

    • Lower inducer concentration for slower expression

    • Co-express with molecular chaperones

    • Test solubility-enhancing fusion partners (MBP, SUMO, TrxA)

    • Optimize lysis and extraction buffers with solubility enhancers

  • Protein Degradation:

    • Include protease inhibitors during purification

    • Use protease-deficient strains (BL21)

    • Optimize harvesting timepoint to prevent extended expression

    • Maintain low temperature throughout purification

    • Add stabilizing agents specific to the lectin's requirements

  • Loss of Activity:

    • Ensure proper metal ions if required for structure (Ca²⁺, Mn²⁺)

    • Verify pH stability range of the specific lectin

    • Include reducing agents if disulfide bonds are important

    • Test multiple buffer systems for optimal stability

    • Consider refolding strategies if necessary

The successful expression of recombinant Canavalia brasiliensis lectin (alpha chain) in E. coli demonstrates that these challenges can be overcome through systematic optimization. This lectin was cloned into pET28a vector, expressed in BL21(DE3) cells, and successfully purified with retained biological activity, serving as a model for recombinant lectin production .

How can researchers optimize glycan binding assays using recombinant lectins?

Optimizing glycan binding assays with recombinant lectins requires attention to several critical parameters:

  • Assay Format Selection:

    • Direct ELLA: Sample immobilized, lectin binding detected

    • Competitive ELLA: Soluble glycans compete with immobilized glycans

    • Sandwich ELLA: Lectins capture glycoproteins from solution

    • Label-free approaches: Surface plasmon resonance, biolayer interferometry

  • Critical Optimization Parameters:

    • Lectin concentration: Titration to determine optimal working range

    • Buffer composition: Often requires specific ions (Ca²⁺, Mn²⁺) for activity

    • Blocking reagents: Must not contain competing glycans

    • Detection system: Direct labeling vs. secondary detection

    • Washing stringency: Balancing removal of non-specific binding while retaining specific interactions

  • Essential Controls:

    • Competitive inhibition with free sugar to confirm specificity

    • Glycosidase-treated samples to validate glycan dependence

    • Known glycoprotein standards with defined glycosylation

    • Heat-inactivated lectin to assess non-specific binding

    • Comparison with established lectin references when using novel recombinants

  • Quantitative Analysis:

    • Standard curve preparation with known glycoconjugates

    • Multi-point analysis rather than single concentration

    • Statistical analysis of replicate measurements

    • Determination of EC50 values for comparative studies

As demonstrated in studies with recombinant AAL variants, lectin-FLISA approaches can effectively differentiate binding specificities between wild-type and mutant lectins. The assays revealed that while binding to α-1,2, α-1,3, and α-1,4 fucose-linked BSA was similar across recombinant variants, significant differences emerged in binding to α-1,6 fucose, with the N224Q mutant showing over 2-fold higher binding than wild-type recombinant AAL and 8-10 fold higher than the X-2,4 mutant .

How might engineered recombinant lectins advance glycan biomarker discovery?

Recombinant lectins with engineered specificity offer significant potential for advancing glycan biomarker discovery:

  • Enhanced Detection of Disease-Associated Glycans:

    • Lectins with improved specificity for cancer-associated fucose linkages

    • Detection of subtle changes in glycosylation patterns during disease progression

    • Increased sensitivity for low-abundance glycan epitopes

  • Multiplexed Glycan Analysis Platforms:

    • Arrays of engineered lectins with defined specificities

    • Comprehensive glycosylation profiling from limited sample volumes

    • Pattern recognition approaches for complex biomarker signatures

  • Targeted Glycoprotein Enrichment:

    • Specific capture of disease-relevant glycoforms

    • Depletion of abundant non-informative glycoproteins

    • Improved detection of low-abundance biomarkers

Studies with AAL variants have demonstrated how mutations like N224Q can significantly enhance binding to specific fucose linkages that may be relevant in disease contexts. Similarly, domain-swapped variants like X-2,4 can be designed to preferentially bind certain linkages while minimizing interactions with others, enabling more precise biomarker targeting .

What are the emerging applications of recombinant lectins in therapeutic development?

Recombinant lectins are finding increasing applications in therapeutic development:

  • Quality Control of Biopharmaceuticals:

    • Characterization of glycosylation profiles as critical quality attributes

    • Batch-to-batch consistency monitoring

    • Detection of process-related glycosylation changes

  • Targeted Drug Delivery Systems:

    • Lectin-functionalized nanoparticles for glycan-directed targeting

    • Selective delivery to cells with altered glycosylation

    • Potential for reduced off-target effects

  • Immunomodulatory Applications:

    • Engineered lectins as immune system modulators

    • Targeting glycosylation changes in immunological disorders

    • Development of lectin-based immunotherapeutics

  • Anti-cancer Strategies:

    • Targeting cancer-specific glycosylation patterns

    • Lectin-drug conjugates for selective delivery

    • Exploitation of lectin-induced cellular responses

The recombinant lectin from Canavalia brasiliensis has demonstrated multiple biological activities, including immunostimulatory, antidepressive, antinociceptive, neuroprotective, and antiproliferative effects in human leukemia cells, highlighting the therapeutic potential of recombinant lectins .

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