FD Antibody

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Description

Mechanism of Action and Functional Roles

FD antibodies bind to the Fd region, blocking interactions between immunoglobulins and antigens. This property is leveraged in immunochemical assays to:

  • Eliminate interference: Rheumatoid factors (RFs), which are autoantibodies targeting the Fc region of IgG, can cause false positives in diagnostic tests. Anti-Fd antibodies mask the Fd region, preventing RFs from forming immune complexes and improving assay accuracy .

  • Enhance specificity: By targeting the Fd region, these antibodies avoid interactions with Fc-mediated effector functions, reducing background noise in applications like ELISA or Western blotting .

Key Applications:

ApplicationBenefitExample
IgM antibody detectionBlocks RF interferenceImproved accuracy in detecting anti-viral or autoimmune IgM antibodies
Antibody engineeringEnables precise Fab engineeringFacilitates the design of antibody fragments (e.g., Fab, F(ab’)₂)
Phage display librariesSelects high-affinity Fd regionsUsed in antibody discovery platforms

Performance in Immunochemical Assays

ParameterAnti-Fd AntibodyConventional Antibodies
Cross-reactivityMinimal (targets Fd, not Fc)High (may bind Fc or light chains)
Lot consistencyImproved (reduced RF interference)Variable (prone to RF interference)
SensitivityEnhanced (specific binding)Moderate (non-specific binding)

Data from patents and product specifications indicate that anti-Fd antibodies (e.g., Bio-Rad’s Goat Anti-Human IgG (Fd)) demonstrate >90% specificity for the Fd region, with negligible reactivity to other regions .

Clinical and Diagnostic Applications

  • Rheumatoid factor interference: In IgM detection assays, anti-Fd antibodies reduce false positives by >95% compared to untreated controls .

  • Therapeutic antibody engineering: Fd-targeting antibodies enable precise truncation of immunoglobulins, generating Fab fragments with optimal antigen-binding efficiency .

Limitations and Challenges

  1. Limited availability: Few commercial anti-Fd antibodies exist, and their production requires specialized immunogens (e.g., Fd peptides or recombinant proteins) .

  2. Class-specificity: Most anti-Fd antibodies target IgG; analogous reagents for IgA, IgM, or IgE are less developed .

  3. Allelic variability: Polymorphisms in the Fd region (e.g., IgG3 vs. IgG1) may require subclass-specific antibodies for optimal performance .

Product Specs

Buffer
Preservative: 0.03% Proclin 300
Constituents: 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
FD antibody; BZIP14 antibody; At4g35900 antibody; F4B14.170 antibody; T19K4.30 antibody; Protein FD antibody; bZIP transcription factor 14 antibody; AtbZIP14 antibody
Target Names
FD
Uniprot No.

Target Background

Function
FD is a transcription factor essential for the transition to flowering, a process promoted by the floral inducer FT.
Gene References Into Functions
  1. Studies have shown that AcMFT, a homolog from a non-flowering plant, can interact with FD to regulate the floral transition. However, this function is reduced due to the weakened ability of AcMFT-FD to activate the downstream gene AP1. PMID: 27216814
  2. The floral repressor BFT delays flowering by competing with FT for binding to FD under high salinity conditions. PMID: 23935007
  3. The early flowering allele of FLH requires the floral integrator FD to accelerate flowering. PMID: 23667042
  4. The development of flower and inflorescence meristems depends on the combined activities of FT-FD and STM. PMID: 20937733
  5. FD, preferentially expressed in the shoot apex, is crucial for FT to promote flowering. PMID: 16099979
  6. A complex formed by FT and FD proteins can subsequently activate floral identity genes such as APETALA1. PMID: 16099980

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Database Links

KEGG: ath:AT4G35900

STRING: 3702.AT4G35900.1

UniGene: At.31374

Protein Families
BZIP family
Subcellular Location
Nucleus.
Tissue Specificity
Highly expressed in shoot apex.

Q&A

How do Fd fragments contribute to antibody binding specificity?

Fd fragments contribute significantly to antibody binding specificity through their variable region domains. When properly aligned with light chains, they form a competent antibody binding site. Experimental evidence confirms that Fd fragments alone show very low binding activity toward specific haptens, but when recombined with the appropriate light chains, they form Fab fragments with significant antibody activity .

The specificity arises from:

  • Complementarity-determining regions (CDRs) within the variable domain of the Fd fragment

  • Proper three-dimensional alignment with the light chain

  • Specific amino acid sequences that form the antigen-binding pocket

Research has demonstrated that there is preferential combination of Fd fragments with their correct light chain partners. This preferential pairing occurs even in the presence of light chains from normal (non-antibody) globulins, suggesting an inherent compatibility between components derived from the same antibody molecule .

What is the difference between Fd fragments and other antibody fragments (Fab, F(ab')2, Fc)?

FragmentCompositionFunctionApplications
FdHeavy chain portion of Fab (VH + CH1)Part of antigen binding siteRecombination studies, domain-specific analysis
FabComplete antigen-binding fragment (Fd + light chain)Antigen bindingTherapeutic applications, research tools
F(ab')2Two Fab fragments connected by disulfide bondsBivalent antigen binding without FcAvoids Fc-mediated effects in applications
FcConstant region of heavy chainsMediates effector functionsFc fusion proteins, effector function studies

Fd fragments are distinct from complete Fab fragments in that they lack the light chain component. Unlike F(ab')2 fragments, which contain two complete antigen-binding arms, Fd fragments represent just the heavy chain portion of a single binding arm. The Fc fragment differs entirely as it consists of the constant domains that mediate effector functions like complement activation and Fc receptor binding .

What are the recommended methods for isolating Fd fragments from intact antibodies?

Isolating Fd fragments requires specific enzymatic and chemical approaches. A well-established method involves:

  • Enzymatic digestion: Use of IdeS protease to cleave the antibody below the hinge region, generating F(ab')2 and Fc fragments

  • Disulfide bond reduction: Application of reducing agents like dithiothreitol (DTT) or β-mercaptoethanol to break disulfide bonds between heavy and light chains

  • Separation techniques: Employing propionic acid to completely separate Fd fragments from light chains

For domain-specific characterization, the following protocol has proven effective:

  • IdeS proteolysis to generate F(ab')2 and Fc fragments

  • Reduction of disulfide bonds to release three antibody domains (LC, Fd, and Fc/2)

  • Subsequent purification using chromatographic techniques

This approach works effectively for different IgG subclasses (IgG1, IgG2, IgG4) and Fc fusion proteins, making it a versatile platform for antibody analysis .

How can researchers verify the purity and integrity of isolated Fd fragments?

Verification of Fd fragment purity and integrity requires multiple analytical techniques:

  • Liquid Chromatography/Mass Spectrometry (LC-MS): Provides precise molecular weight determination and can identify post-translational modifications. LC-MS can explicitly identify the IdeS cleavage site and characterize oxidations in individual domains .

  • Reversed Phase HPLC: Establishes the identity of each molecule studied. The unique chromatographic profile of each molecule offers a simple strategy for identity testing .

  • Capillary Isoelectric Focusing (cIEF): Evaluates domain-specific charge heterogeneity and monitors charge profile changes caused by deamidation .

  • SDS-PAGE: Confirms size separation and purity based on molecular weight.

  • Western Blotting: Using anti-Fd specific antibodies such as mouse anti-human IgG Fd region antibody (clone HP6045) can confirm the identity of isolated Fd fragments .

These complementary techniques provide a comprehensive assessment of the purity, identity, and structural integrity of isolated Fd fragments.

What analytical techniques are most effective for characterizing domain-specific modifications in Fd fragments?

Several analytical techniques provide valuable insights into domain-specific modifications of Fd fragments:

  • LC-MS analysis: Particularly effective for:

    • Identifying oxidation sites in the Fd domain

    • Detecting deamidation

    • Confirming primary sequence

    • Characterizing other post-translational modifications

  • Capillary Isoelectric Focusing (cIEF):

    • Evaluates charge heterogeneity specific to the Fd domain

    • Monitors changes in charge profiles caused by modifications like deamidation

    • Helps differentiate between different Fd variants

  • Glycan mapping:

    • Characterizes glycoform distribution when applicable

    • Helps understand glycosylation patterns that may affect function

  • Flow Cytometry (FACS):

    • Can be used to assess binding functionality of recombined fragments

    • Particularly useful when using anti-Fd specific antibodies

These techniques, when used in combination, provide a comprehensive characterization platform for Fd fragments and enable domain-specific profiling of various modifications that may impact antibody function and stability.

How can researchers utilize Fd fragment recombination for antibody engineering?

Fd fragment recombination offers powerful approaches for antibody engineering:

  • Domain shuffling: Researchers can recombine Fd fragments with light chains from different antibodies to create novel binding specificities. Experimental evidence shows that Fd fragments from one type of antibody (Fab I) can combine with light chains from another type (Fab II) to form competent binding sites .

  • Humanization: The availability of crystal structures of antibody-antigen complexes facilitates humanization by identifying critical positions outside of CDRs that must be preserved and positions within CDRs that may be replaced. By understanding which residues in the Fd fragment are crucial for antigen binding, researchers can design humanized variants that maintain binding specificity while reducing immunogenicity .

  • Affinity maturation: Structural knowledge of the Fd-antigen interaction can identify residues that might enhance binding when mutated, which would not be apparent from sequence analysis alone .

  • Solubility improvement: Modifications of hydrophobic patches on the antibody surface (often not apparent in the linear sequence) can improve biophysical properties .

This rational, structure-based approach to antibody engineering leverages the modular nature of antibody domains and the specificity of Fd-light chain interactions to create improved therapeutic antibodies.

What are the limitations in cross-species Fd fragment compatibility for recombination experiments?

Cross-species Fd fragment compatibility faces several important limitations:

  • Species-specific alignment requirements: Research has demonstrated that Fd fragments and light chains must come from antibodies produced by the same rabbit to generate functional binding sites. When components are derived from different rabbits producing antibody against the same antigen, they form Fab fragments as shown by immunoelectrophoresis but lack competent binding sites .

  • Structural constraints: The correct three-dimensional alignment between Fd fragments and light chains is critical for forming a functional antigen-binding site. Cross-species combinations often fail to achieve this alignment due to subtle differences in framework regions.

  • Variable domain interaction specificity: The interfaces between VH (in Fd) and VL domains are highly specific and optimized within species. Cross-species combinations may disrupt these crucial interactions.

  • Constant domain compatibility issues: Even when variable regions might be compatible, differences in constant domains between species can affect stability and proper folding of the recombined fragments.

These limitations underscore the importance of careful selection of Fd and light chain sources when designing recombination experiments, particularly when working across species boundaries.

How do post-translational modifications of Fd fragments affect antibody function and stability?

Post-translational modifications (PTMs) of Fd fragments significantly impact antibody function and stability through multiple mechanisms:

  • Oxidation effects:

    • Oxidation of methionine residues in the Fd domain can alter the three-dimensional structure

    • This structural change may reduce antigen-binding affinity or change specificity

    • LC-MS analysis can explicitly characterize these oxidations in the Fd domain

  • Deamidation impact:

    • Deamidation of asparagine residues introduces negative charges

    • Changes in charge profile can be monitored by capillary isoelectric focusing (cIEF)

    • These modifications often reduce thermal stability and binding affinity

  • Glycosylation considerations:

    • While the Fc domain contains the primary N-linked glycosylation sites, some Fd fragments may contain glycosylation

    • Atypical glycosylation patterns can affect solubility and stability

    • Glycan mapping enables monitoring of these modifications

  • Disulfide bond arrangements:

    • Proper disulfide bonding is crucial for maintaining the correct structural relationship between Fd and light chain

    • Alterations in disulfide patterns can significantly impact binding functionality

Understanding and monitoring these PTMs is crucial when developing antibody-based therapeutics and when using Fd fragments in recombination experiments, as they can significantly alter the properties of the resulting antibodies.

How can researchers address poor recombination efficiency when working with Fd fragments and light chains?

Poor recombination efficiency between Fd fragments and light chains can be addressed through several methodological approaches:

  • Optimize buffer conditions:

    • Ensure proper pH (typically 7.2-7.4) to facilitate correct folding

    • Include stabilizing agents such as arginine or sucrose to prevent aggregation

    • Use appropriate salt concentrations (typically 150 mM NaCl) to promote proper domain interactions

  • Employ controlled redox environments:

    • Use optimal ratios of reduced and oxidized glutathione (typically 1:5) to facilitate proper disulfide bond formation

    • Monitor the redox potential during the recombination process

    • Consider step-wise dialysis to gradually promote disulfide formation

  • Address fragment source compatibility:

    • Ensure Fd fragments and light chains originate from compatible sources

    • Remember that Fd fragments preferentially combine with their correct light chain partners

    • Fd fragments from one antibody type (e.g., Fab I) can combine with light chains from another type (e.g., Fab II) but require careful selection

  • Temperature and incubation time optimization:

    • Lower temperatures (4-8°C) typically promote proper folding over aggregation

    • Extended incubation times may be necessary for complete recombination

    • Consider temperature ramping protocols to maximize proper folding

  • Purification strategies:

    • Remove partially folded or misfolded intermediates through size exclusion chromatography

    • Implement affinity-based approaches to select properly folded complexes

These methodological refinements can significantly improve recombination efficiency, enabling more effective experimental approaches and higher yields of functional recombined fragments.

What strategies help differentiate between Fd fragment heterogeneity and experimental artifacts in analytical data?

Differentiating between genuine Fd fragment heterogeneity and experimental artifacts requires a multi-faceted analytical approach:

  • Implement orthogonal analytical methods:

    • Compare results from multiple techniques (LC-MS, cIEF, RP-HPLC)

    • True heterogeneity should be consistently observed across different methods

    • Discrepancies between methods may indicate artifacts

  • Perform control experiments:

    • Analyze reference standards alongside test samples

    • Include system suitability controls to verify instrument performance

    • Use well-characterized Fd fragments as positive controls

  • Evaluate sample preparation impact:

    • Assess the effect of different sample preparation methods on observed heterogeneity

    • Minimize oxidation during processing by using oxygen-free buffers and adding antioxidants

    • Control pH carefully to prevent artifacts like deamidation

  • Apply statistical analysis:

    • Perform replicate analyses to establish reproducibility

    • Calculate standard deviations to determine significance of observed differences

    • Use statistical tests to distinguish signal from noise

  • Targeted MS/MS analysis:

    • Focus on specific peptides of interest within the Fd fragment

    • Verify modifications through detailed fragmentation patterns

    • Quantify the extent of modifications at specific sites

This comprehensive approach enables researchers to confidently distinguish between genuine biological heterogeneity of Fd fragments and technical artifacts that may arise during sample processing or analysis.

How should researchers interpret contradictory findings about Fd fragment binding properties from different experimental approaches?

When faced with contradictory findings about Fd fragment binding properties from different experimental approaches, researchers should:

  • Critically evaluate methodology differences:

    • Assess buffer compositions, which can significantly affect binding properties

    • Compare incubation conditions (time, temperature, concentration)

    • Evaluate detection methods and their sensitivity thresholds

    • Consider whether direct or indirect binding measurements were employed

  • Analyze the structural context:

    • Isolated Fd fragments show very low binding activity toward specific haptens when separated from light chains

    • Full binding activity requires proper pairing with compatible light chains

    • Some binding studies may use partial or complete recombination

  • Consider avidity effects:

    • Single Fd fragments have different binding properties than when part of bivalent structures

    • Some assays may detect high-avidity interactions but miss low-affinity binding

  • Assess experimental validation approaches:

    • Look for appropriate positive and negative controls

    • Check for concentration-dependent effects that might explain discrepancies

    • Verify specificity through competition experiments

  • Implement a systematic resolution strategy:

    • Design experiments that directly address the contradiction

    • Test binding under multiple conditions

    • Use multiple, orthogonal binding assays (SPR, ELISA, BLI, flow cytometry)

    • Consider kinetic versus equilibrium measurements, which may yield different insights

By systematically evaluating these factors, researchers can resolve contradictions and develop a more nuanced understanding of Fd fragment binding properties that accounts for experimental context and biological complexity.

How might emerging structural biology techniques enhance our understanding of Fd fragment dynamics?

Emerging structural biology techniques offer unprecedented insights into Fd fragment dynamics:

  • Cryo-electron microscopy (Cryo-EM):

    • Enables visualization of Fd fragments in different conformational states

    • Allows study of Fd-light chain complexes without crystallization

    • Provides insights into flexibility and dynamic range of motion between domains

    • May reveal transient conformations relevant to binding mechanisms

  • Hydrogen-deuterium exchange mass spectrometry (HDX-MS):

    • Maps solvent accessibility and conformational dynamics of Fd fragments

    • Identifies regions of flexibility and stability within the domain

    • Provides information about changes in dynamics upon binding or modification

    • Can detect subtle conformational changes not visible in static structures

  • Single-molecule FRET (smFRET):

    • Measures real-time conformational changes in individual Fd fragment molecules

    • Reveals population distributions of different conformational states

    • Provides insights into the kinetics of conformational changes

  • Molecular dynamics simulations with experimental validation:

    • Predicts dynamic behavior of Fd fragments at atomic resolution

    • When combined with experimental data, provides comprehensive understanding of motion

    • Helps identify critical residues involved in conformational changes

These advanced techniques will likely reveal how dynamics contribute to antibody function, potentially leading to improved antibody engineering approaches that consider not just static structure but also dynamic properties of Fd fragments.

What are the emerging applications of Fd fragment engineering in therapeutic antibody development?

Emerging applications of Fd fragment engineering in therapeutic antibody development include:

  • Enhanced binding site design:

    • Structure-guided modifications of Fd fragments to improve affinity

    • Engineering CDR loops within Fd fragments for improved specificity

    • Creating binding sites for novel or difficult targets through rational design

  • Bispecific antibody construction:

    • Using Fd engineering to create optimal pairing with different light chains

    • Designing complementary Fd fragments that can assemble into multi-specific binding molecules

    • Creating novel binding geometries through modified Fd-light chain interfaces

  • Stability enhancement:

    • Identifying and modifying aggregation-prone regions within Fd fragments

    • Engineering disulfide bonds to stabilize specific conformations

    • Reducing hydrophobic patches that contribute to poor solubility

  • Fc-independent effector functions:

    • Engineering Fd fragments to interact with specific cell surface receptors

    • Creating novel binding modes that trigger receptor clustering or activation

    • Developing Fab-only therapeutics with tailored pharmacokinetics

  • Antibody-drug conjugate optimization:

    • Site-specific conjugation strategies targeting engineered residues in Fd fragments

    • Controlling drug-to-antibody ratio through precise Fd modifications

    • Optimizing linker attachment sites to maintain binding while enabling efficient drug delivery

These emerging approaches leverage structural knowledge and advanced engineering techniques to create highly optimized therapeutic antibodies with improved efficacy, stability, and manufacturing properties.

How do computational approaches aid in predicting Fd fragment interactions and optimizing antibody design?

Computational approaches increasingly enable sophisticated prediction and optimization of Fd fragment interactions:

  • Machine learning for structure prediction:

    • Deep learning models can predict Fd fragment structures from sequence alone

    • Neural networks trained on antibody structural databases can generate accurate models

    • These predictions provide starting points for further computational analysis and design

  • Molecular docking and virtual screening:

    • Simulates interactions between Fd fragments and potential binding partners

    • Evaluates binding energy landscapes and identifies optimal binding conformations

    • Screens virtual libraries to identify promising candidates before experimental validation

  • Free energy calculations:

    • Quantifies the energetic contributions of specific residues to binding

    • Predicts the impact of mutations on stability and binding affinity

    • Guides rational design by identifying hot spots for engineering

  • Network analysis of structural databases:

    • Identifies patterns in successful antibody designs

    • Reveals conserved features that contribute to stability and function

    • Suggests novel design strategies based on existing antibody structures

  • Integrated computational-experimental approaches:

    • Combines in silico prediction with experimental validation in iterative cycles

    • Employs machine learning to improve predictions based on experimental outcomes

    • Accelerates optimization through focused experimental design

The integration of these computational approaches with experimental techniques enables more efficient antibody engineering, reducing the time and resources required to develop optimized therapeutics while expanding the range of accessible design space.

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