IGKC Antibody, Biotin conjugated

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Description

Definition and Biological Relevance

IGKC Antibody, Biotin Conjugated targets the constant region of human immunoglobulin kappa light chains (UniProt ID: P01834) . These antibodies are engineered with biotin, a vitamin derivative that binds streptavidin/avidin with high affinity (Kd ≈ 10^-15 M), facilitating sensitive detection in assays like ELISA, IHC, and flow cytometry .

  • Specificity: Recognizes both κ and λ light chains in human immunoglobulins but shows no cross-reactivity with IgG from non-human species (e.g., mouse, rat, goat) .

  • Clonality: Available as monoclonal (e.g., clone RM129 or Kap-56) or polyclonal formats, with monoclonal variants offering higher reproducibility .

Key Use Cases:

  • Immunohistochemistry (IHC): Detects κ light chains in tissues, aiding in diagnosing B-cell malignancies (e.g., multiple myeloma) where κ:λ ratios deviate from the normal 70:30 .

  • Flow Cytometry: Identifies clonal B-cell populations in leukemia/lymphoma with minimal background .

  • ELISA: Quantifies immunoglobulin levels in serum or egg yolk samples, though high biotin concentrations (>10 ng/mL) may cause false positives .

Performance Metrics:

  • Sensitivity: Effective at concentrations as low as 0.02 µg/mL in ELISA .

  • Signal Stability: Biotin-streptavidin interaction ensures robust signal amplification, critical for low-abundance targets .

Optimization Parameters:

ParameterRecommendation
Dilution Range0.5–2 µg/mL for IHC/ICC; 0.02–0.25 µg/mL for ELISA .
Interference RisksEndogenous biotin in samples (e.g., egg yolk, serum) may require blocking steps .
Cross-ReactivityNone observed with albumin or non-human IgG .

Comparative Advantages:

  • Site-Specific Biotinylation: Technologies like GlyCLICK ensure uniform DOL (Degree of Labeling) = 2, minimizing batch variability .

  • Monoclonal Specificity: Clone Kap-56 avoids λ-chain cross-reactivity, reducing false positives in malignancy screening .

Research Findings and Validation

  • Clinical Utility: In a study of 14 antibodies, biotinylated IGKC antibodies showed 100% specificity for κ-light chains in IHC, outperforming amine-based conjugation methods prone to off-target labeling .

  • Interference Studies: Biotin concentrations >5 ng/mL in serum caused false positives in IgY quantification assays, necessitating dilution or biotin-blocking protocols .

  • Stability Data: LC-MS analysis confirmed biotin conjugation does not alter antibody mass or binding affinity when stored at -20°C .

Product Specs

Buffer
**Preservative:** 0.03% Proclin 300
**Constituents:** 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
Typically, we are able to dispatch products within 1-3 business days of receiving your order. Delivery times may vary depending on the method of purchase and destination. Please consult your local distributor for specific delivery time information.
Synonyms
IGKCImmunoglobulin kappa constant antibody; Ig kappa chain C region antibody; Ig kappa chain C region AG antibody; Ig kappa chain C region CUM antibody; Ig kappa chain C region EU antibody; Ig kappa chain C region OU antibody; Ig kappa chain C region ROY antibody; Ig kappa chain C region TI antibody
Target Names
IGKC
Uniprot No.

Target Background

Function
**Immunoglobulin Light Chain Constant Region (IGKC)**

Immunoglobulins, also known as antibodies, are glycoproteins produced by B lymphocytes that can be either membrane-bound or secreted. In the recognition phase of humoral immunity, membrane-bound immunoglobulins act as receptors. Upon binding to a specific antigen, these receptors trigger clonal expansion and differentiation of B lymphocytes into immunoglobulin-secreting plasma cells. Secreted immunoglobulins mediate the effector phase of humoral immunity, leading to the elimination of bound antigens.

The antigen binding site is formed by the variable domain of one heavy chain, together with that of its associated light chain. Therefore, each immunoglobulin possesses two antigen binding sites with remarkable affinity for a particular antigen. The variable domains are assembled through a process called V-(D)-J rearrangement and can then undergo somatic hypermutations. This process, after exposure to antigen and selection, allows for affinity maturation towards a specific antigen.
Database Links

HGNC: 5716

OMIM: 147200

UniGene: Hs.449609

Involvement In Disease
Immunoglobulin kappa light chain deficiency (IGKCD)
Subcellular Location
Secreted. Cell membrane.

Q&A

What is IGKC and why is it significant in immunological research?

IGKC (Immunoglobulin kappa constant) is a gene encoding the constant region of immunoglobulin light chains. These light chains are crucial components of antibodies, which are membrane-bound or secreted glycoproteins produced by B lymphocytes. In the recognition phase of humoral immunity, membrane-bound immunoglobulins serve as receptors that, upon binding of a specific antigen, trigger the clonal expansion and differentiation of B lymphocytes into immunoglobulin-secreting plasma cells . The significance of IGKC in immunological research stems from its role in antibody structure and function, making it a valuable target for studying humoral immune responses, B cell development, and antibody diversity. Detecting IGKC expression allows researchers to identify and track B cells and plasma cells in various immunological contexts, from normal immune function to aberrant processes in autoimmune diseases and lymphomas .

What are the key advantages of using biotin-conjugated IGKC antibodies?

Biotin-conjugated IGKC antibodies offer several notable advantages for immunological research applications. The biotin-streptavidin system provides significant signal amplification due to streptavidin's high affinity for biotin (Kd = 10^-15 M), which exceeds the binding strength of most antibody-antigen interactions. This amplification system enhances detection sensitivity, particularly in samples with low IGKC expression levels . Additionally, biotin conjugation provides flexibility in detection systems, as researchers can use various streptavidin-conjugated reporter molecules (fluorophores, enzymes, quantum dots) with the same biotinylated primary antibody . The small size of biotin molecules minimizes interference with antibody binding to the target epitope, helping maintain the antibody's native specificity and affinity characteristics. Finally, biotin-conjugated antibodies are generally more stable during storage than directly labeled fluorescent or enzyme conjugates, providing practical advantages for laboratory workflows .

  • Human samples: The antibodies are validated for human tissue, cell lines, and body fluids.

  • Animal models: Standard laboratory animal models (mouse, rat) cannot be analyzed with these human-specific antibodies.

  • Non-human primate studies: Despite evolutionary proximity, these antibodies are not suitable for monkey samples.

  • Multi-species experiments: Separate species-specific antibodies must be used when comparing across species.

Researchers must consider these cross-reactivity limitations when designing comparative studies or translating findings between model systems and human applications .

What are the optimal storage and handling conditions for maintaining IGKC antibody activity?

Preserving the functional integrity of biotin-conjugated IGKC antibodies requires specific storage and handling protocols. The recommended storage temperature is -20°C for long-term preservation, with glycerol-based formulations providing stability during freeze-thaw cycles . Most manufacturers formulate these antibodies in 50% glycerol/PBS with 1% BSA and 0.09% sodium azide, which serves multiple purposes: glycerol prevents freeze-thaw damage, BSA acts as a carrier protein and stabilizer, and sodium azide prevents microbial contamination .

To maintain optimal activity, researchers should implement these practical measures:

  • Aliquot antibodies upon receipt to minimize freeze-thaw cycles

  • Store aliquots in non-frost-free freezers to prevent temperature fluctuations

  • When working with the antibody, keep it on ice and return to -20°C promptly

  • Avoid exposure to direct light, particularly for extended periods

  • Do not store diluted antibody solutions for prolonged periods

  • Record lot numbers and antibody performance to track potential variability

Following these guidelines can significantly extend antibody shelf-life while maintaining consistent performance across experiments, which is particularly important for biotin conjugates where detection depends on both antibody binding and biotin-streptavidin interaction .

How should dilution series be designed for optimizing IGKC antibody concentration?

Establishing the optimal working concentration for biotin-conjugated IGKC antibodies requires a systematic dilution series approach that varies by application. For ELISA applications, a recommended starting protocol involves:

  • Prepare a 2-fold serial dilution series ranging from 1:100 to 1:3200 of the antibody

  • Include both positive controls (known IGKC-expressing samples) and negative controls (samples without IGKC expression)

  • Include additional controls testing secondary reagent alone (streptavidin conjugate without primary antibody)

  • Plot signal-to-noise ratio against antibody dilution to identify the optimal concentration

  • Confirm with technical replicates before scaling to full experiments

For flow cytometry applications, a similar approach applies with concentrations typically starting at 5-10 μg/ml and diluting downward. For immunohistochemistry, standard dilution series typically begin at 1:50 to 1:200 .

The optimal antibody concentration balances several factors: sufficient signal strength, minimal background, economic use of reagent, and saturation of specific binding sites without promoting non-specific interactions. Documentation of optimization experiments provides valuable reference data for future studies and troubleshooting .

What controls are essential when using IGKC antibody, biotin conjugated in flow cytometry?

Robust flow cytometry experiments with biotin-conjugated IGKC antibodies require comprehensive controls to ensure data validity and interpretability. The essential control panel should include:

  • Unstained control: Cells processed identically but without any antibody to establish autofluorescence baseline

  • Secondary-only control: Cells stained with streptavidin-fluorophore alone (no primary antibody) to detect non-specific binding of the detection system

  • Isotype control: Cells stained with biotin-conjugated irrelevant antibody of the same isotype as the IGKC antibody (e.g., rabbit IgG-biotin for RM129 clone) followed by streptavidin-fluorophore to detect Fc receptor binding and other non-specific interactions

  • Blocking control: Cells pre-incubated with unlabeled anti-IGKC before adding biotin-conjugated anti-IGKC to confirm epitope specificity

  • Positive control: Known IGKC-expressing cells (e.g., B cells or plasma cells) to verify staining efficacy

  • Negative control: Cells known not to express IGKC (e.g., T cells) to confirm antibody specificity

  • Fluorescence minus one (FMO) controls: Particularly important in multicolor panels to establish proper gating strategies

These controls help differentiate true signal from technical artifacts and enable accurate population identification in complex samples . The clones TB28-2 and RM129 have been validated for flow cytometry applications with human samples, making them reliable choices for this technique .

How can IGKC antibody, biotin conjugated be integrated into multicolor flow cytometry panels?

Integrating biotin-conjugated IGKC antibodies into multicolor flow cytometry panels requires strategic planning to maximize information while minimizing technical complications. A methodological approach includes:

  • Fluorophore selection: Choose a streptavidin-conjugated fluorophore for your biotin-IGKC antibody that minimizes spectral overlap with other panel fluorophores. Consider brightness requirements based on expected IGKC expression levels.

  • Panel design strategy:

    • Place the streptavidin-fluorophore detection for IGKC on a detector with minimal spillover from other fluorophores

    • Pair dim markers with bright fluorophores and vice versa

    • Consider using the biotin-streptavidin system for lower-expressed targets to leverage signal amplification

  • Titration optimization: Critically important for both the biotin-IGKC antibody and the streptavidin-fluorophore conjugate to minimize background

  • Sequential staining protocol:
    a. Stain cells with all non-biotinylated primary antibodies
    b. Wash thoroughly to remove unbound antibodies
    c. Add biotin-conjugated IGKC antibody
    d. Wash to remove unbound biotin-antibody
    e. Add streptavidin-fluorophore conjugate
    f. Perform final washes before acquisition

  • FMO controls: Essential for accurate gating, especially with the signal amplification from biotin-streptavidin systems

The clones TB28-2 and RM129 have been validated in flow cytometry applications and can be effectively incorporated into panels examining B cell development, plasma cell identification, or immunoglobulin expression patterns in combination with other lineage and activation markers .

What causes high background when using IGKC antibody, biotin conjugated in IHC/ICC applications?

High background is a common challenge when using biotin-conjugated IGKC antibodies in immunohistochemistry and immunocytochemistry applications. Several mechanisms can contribute to this issue, each requiring specific remediation strategies:

Background SourceUnderlying MechanismRemediation Strategy
Endogenous biotinTissues naturally contain biotin, which directly binds streptavidin reagentsImplement biotin blocking steps using commercial kits or avidin/biotin sequential blocking
Endogenous Fc receptorsTissue macrophages or other Fc receptor-expressing cells bind antibody Fc regionsAdd Fc receptor blocking reagents (10% normal serum from secondary antibody species) before primary antibody
Non-specific protein bindingHydrophobic interactions between antibody and tissue proteinsIncrease blocking buffer concentration (3-5% BSA or serum) and duration (60+ minutes)
Insufficient washingInadequate removal of unbound antibodyExtend wash steps (3x 5-minute washes) with gentle agitation
Excessive antibody concentrationToo much antibody increases non-specific bindingOptimize through titration; typically more dilute than manufacturer recommendation
Excessive detection reagentStreptavidin reagent concentration too highDilute streptavidin detection reagent (typical range: 1:500-1:2000)
Tissue over-fixationExcessive formaldehyde crosslinking causing non-specific bindingOptimize fixation time or implement antigen retrieval methods

For the biotin-conjugated IGKC antibodies specifically, the clones RM129 and TB28-2 have been validated for these applications, but optimization may be required for particular tissue types or fixation methods . Implementing these targeted troubleshooting approaches can significantly improve signal-to-noise ratio in challenging samples.

How can inconsistent staining patterns with IGKC antibody be resolved?

Inconsistent staining patterns when using biotin-conjugated IGKC antibodies often indicate underlying technical issues that can be systematically addressed through a methodical troubleshooting approach:

  • Antibody storage and handling:

    • Verify proper storage conditions (-20°C in manufacturer-provided buffer)

    • Minimize freeze-thaw cycles by preparing single-use aliquots

    • Check antibody expiration date and lot-to-lot consistency

  • Sample preparation standardization:

    • Implement consistent fixation protocols (timing, temperature, fixative composition)

    • Standardize antigen retrieval methods (pH, temperature, duration)

    • Control tissue section thickness and processing conditions

  • Protocol timing optimization:

    • Standardize incubation times for all reagents (primary antibody typically 1-16 hours)

    • Maintain consistent temperature during all incubation steps

    • Use timers to ensure precise timing between experiments

  • Technical replicate implementation:

    • Process multiple sections from the same sample simultaneously

    • Include previously tested positive control tissues in each experiment

    • Document all protocol parameters for reproducibility assessment

  • Antibody validation:

    • Verify specificity with appropriate positive and negative controls

    • Consider testing alternative clones if inconsistency persists

    • For clones RM129 and TB28-2, validate specificity for both kappa and lambda light chains

Resolving inconsistent staining often requires systematic variation of these parameters while maintaining detailed records of conditions and outcomes . Standardization across experiments is particularly critical when comparing IGKC expression across different samples or timepoints.

How should results from IGKC antibody staining be normalized across experimental batches?

Normalizing IGKC antibody staining results across multiple experimental batches is essential for longitudinal studies, multi-center investigations, or projects analyzing samples processed at different times. A robust normalization strategy includes:

  • Reference sample inclusion:

    • Include identical positive control samples in each experimental batch

    • Process standardized cell lines with known IGKC expression levels

    • Consider using tissue microarrays with consistent samples across experiments

  • Quantitative measurement standardization:

    • For flow cytometry: Use calibration beads to standardize fluorescence intensity units

    • For ELISA: Include standard curve on each plate using recombinant IGKC or reference material

    • For IHC: Incorporate digital image analysis with color deconvolution and intensity calibration

  • Batch effect correction approaches:

    • Calculate normalization factors based on control sample measurements

    • Apply statistical methods such as ComBat or quantile normalization for large datasets

    • Consider LOESS regression for correcting intensity drift over multiple batches

  • Instrument standardization:

    • Calibrate flow cytometers, plate readers, or imaging systems before each batch

    • Document PMT voltages, laser powers, or exposure settings

    • Use quality control beads or slides to verify consistent instrument performance

  • Biotin-streptavidin system specific considerations:

    • Control for streptavidin reagent lot variations

    • Standardize streptavidin incubation times precisely

    • Account for potential binding site saturation differences between batches

How does clone selection impact the specificity of IGKC antibody, biotin conjugated in multiplex immunoassays?

Clone selection significantly influences IGKC antibody performance in multiplex immunoassays, affecting epitope recognition, cross-reactivity profiles, and compatibility with other detection reagents. Based on available data for biotin-conjugated IGKC antibodies:

The RM129 clone is a rabbit recombinant monoclonal antibody that recognizes both kappa and lambda light chains of human immunoglobulins . This broad light chain recognition is advantageous for detecting all antibody-producing cells regardless of light chain usage, but may be disadvantageous when light chain-specific discrimination is required. The recombinant production method provides high batch-to-batch consistency compared to hybridoma-derived antibodies .

The TB28-2 clone is a mouse monoclonal antibody specifically targeting kappa light chains . This selective recognition enables discrimination between kappa and lambda-expressing cells but will not detect lambda-positive B cells or plasma cells. As a mouse monoclonal, it may present advantages in multiplex assays where rabbit antibodies are already used for other targets .

For multiplex immunoassays specifically:

  • Cross-reactivity considerations: RM129 does not cross-react with monkey, mouse, rat, or goat IgG, limiting its use in certain comparative or animal model studies

  • Host species compatibility: Choosing between rabbit (RM129) and mouse (TB28-2) clones becomes critical when designing panels to avoid host-specific secondary detection conflicts

  • Epitope accessibility: Different clones may recognize distinct epitopes with varying accessibility in fixed versus native conformations

  • Signal amplification needs: Some clones may provide stronger signal-to-noise ratios in specific applications

Researchers should select clones based on the specific requirements of their multiplex assay, considering these factors alongside the technical specifications provided by manufacturers .

What are the advantages of using recombinant monoclonal versus traditional monoclonal IGKC antibodies?

The choice between recombinant monoclonal and traditional hybridoma-derived monoclonal IGKC antibodies presents several important considerations for advanced research applications:

CharacteristicRecombinant Monoclonal (e.g., RM129)Traditional Monoclonal (e.g., TB28-2)Research Implications
Production consistencyHigh reproducibility from sequence-defined recombinant expressionPotential hybridoma drift over time and between production lotsRecombinant antibodies provide superior batch-to-batch consistency for longitudinal studies
Specificity engineeringCan be genetically engineered for enhanced specificity or reduced cross-reactivityFixed specificity determined by original hybridomaRecombinant antibodies offer potential for customization to specific research needs
Animal welfareAnimal-free production after initial sequence identificationRequires ongoing animal use for hybridoma maintenanceRecombinant production aligns with 3Rs principles (Replacement, Reduction, Refinement)
Long-term availabilityTheoretically indefinite as based on sequenceDependent on hybridoma stability and viabilityRecombinant antibodies reduce risk of reagent discontinuation
Structural modificationReadily engineered for different isotypes or fragment formatsLimited to original hybridoma isotypeGreater flexibility for specialized applications with recombinant formats
Cost considerationsInitially higher costs but potentially more economical long-termGenerally lower initial cost but subject to production variabilityCost-benefit analysis should consider experiment duration and reproducibility requirements

For the specific case of biotin-conjugated IGKC antibodies, the rabbit recombinant monoclonal RM129 offers advantages in terms of production consistency and epitope recognition (both kappa and lambda light chains) , while the mouse monoclonal TB28-2 provides kappa chain specificity that may be preferable for certain applications . The selection should be based on the specific research requirements, including needed specificity profile, application compatibility, and long-term experimental planning .

How can IGKC antibody, biotin conjugated be used in immune repertoire analysis?

Biotin-conjugated IGKC antibodies offer valuable tools for immune repertoire analysis, particularly in studies examining B cell development, antibody diversity, and clonal expansion. Methodological approaches include:

  • B cell sorting for repertoire sequencing:

    • Use biotin-conjugated IGKC antibodies with streptavidin-fluorophores in flow cytometry to isolate kappa chain-expressing B cells

    • Sort cells directly into lysis buffer for subsequent immunoglobulin gene amplification

    • Combine with other markers (IgD, CD27) to isolate specific B cell subpopulations

    • The high sensitivity of the biotin-streptavidin system enables detection of cells with low surface immunoglobulin expression

  • Tissue-based repertoire analysis:

    • Apply biotin-conjugated IGKC antibodies in IHC to identify B cell follicles, germinal centers, and plasma cell niches

    • Use laser capture microdissection of stained regions for spatially-resolved repertoire analysis

    • Quantify IGKC+ cells in different tissue compartments to track distribution of antibody-producing cells

  • Single-cell phenotype-genotype correlation:

    • Integrate flow cytometry sorting using biotin-IGKC with single-cell RNA sequencing

    • Correlate surface IGKC expression levels with transcriptional states and VDJ recombination patterns

    • Track clonal relationships within IGKC-expressing cell populations

  • Repertoire analysis in disease states:

    • Compare IGKC expression patterns between healthy and diseased tissues

    • Correlate IGKC+ B cell frequency with clinical parameters

    • Track changes in kappa-expressing B cells during immune responses or therapy

These applications benefit from the specificity and sensitivity of biotin-conjugated IGKC antibodies like clones RM129 and TB28-2, particularly when integrated with advanced genomic and computational analysis methods for immune repertoire characterization .

What future developments can be anticipated in IGKC antibody technology?

The field of IGKC antibody technology is likely to evolve in several directions that will enhance research capabilities and applications. Anticipated developments include:

  • Enhanced conjugation chemistry: Beyond biotin, next-generation site-specific conjugation methods will enable precise control over antibody labeling, maintaining native binding properties while introducing multiple functional groups. This will expand multiplexing capabilities and reduce batch-to-batch variability.

  • Engineered recombinant formats: Further refinement of recombinant IGKC antibodies will produce variants with customized properties such as smaller size (single-chain variants), extended half-life, or enhanced tissue penetration for advanced imaging applications.

  • Application-specific optimizations: Development of IGKC antibody variants specifically optimized for emerging techniques like super-resolution microscopy, mass cytometry, or spatial transcriptomics will enhance performance in these specialized contexts.

  • Cross-species reactive variants: Engineering IGKC antibodies with broader species cross-reactivity will facilitate translational research between animal models and human samples, addressing current limitations in comparative immunology studies.

  • Integrated detection systems: Moving beyond separate biotin-streptavidin components, integrated detection technologies combining IGKC recognition with novel reporter systems will simplify workflows while improving sensitivity and specificity.

These advancements will expand the utility of IGKC antibodies in both basic research and clinical applications, providing researchers with increasingly sophisticated tools for understanding B cell biology, antibody responses, and immunological disorders .

How should researchers validate new lots of IGKC antibody, biotin conjugated?

Implementing a systematic validation protocol for new lots of biotin-conjugated IGKC antibodies is essential for maintaining experimental reproducibility and data quality. A comprehensive validation approach should include:

  • Comparative titration analysis:

    • Perform side-by-side dilution series with previous and new antibody lots

    • Generate titration curves to determine optimal working concentrations

    • Compare signal-to-noise ratios at equivalent concentrations

  • Specificity verification:

    • Test against known positive controls (human B cells or plasma cells)

    • Confirm lack of reactivity with negative controls (T cells or non-lymphoid cells)

    • Verify expected cross-reactivity profile (e.g., both kappa and lambda chains for RM129)

    • Confirm absence of reactivity with non-human species samples

  • Performance assessment across applications:

    • Validate in all intended applications (ELISA, flow cytometry, IHC, etc.)

    • Document staining patterns and compare to reference images

    • Assess background levels under standardized conditions

  • Biotin conjugation quality control:

    • Measure biotin:antibody ratio if equipment is available

    • Test streptavidin binding efficiency

    • Evaluate potential lot-specific aggregation issues

  • Documentation and record-keeping:

    • Maintain detailed validation reports with lot numbers

    • Record images of staining patterns for reference

    • Document optimal working concentrations for each application

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