LILRB5 (Leukocyte immunoglobulin-like receptor subfamily B member 5), also known as CD85c, LIR-8, or CD antigen CD85c, is an inhibitory receptor that plays an important role in innate immunity. It belongs to the inhibitory leukocyte immunoglobulin-like receptor family, which regulates immune responses . The receptor contains immunoreceptor tyrosine-based inhibitory motifs (ITIMs) that bind to Src homology 2-containing tyrosine phosphatase 2 (SHP-2) . Research indicates that LILRB5 specifically binds to MHC class I heavy chains and β2-microglobulin, suggesting its role in MHC class I-dependent immune responses . Furthermore, LILRB5 has been shown to upregulate major histocompatibility complex (MHC) class I and β2-microglobulin gene expression, as well as transporter associated with antigen processing 1-2 (TAP1-2) expression, indicating its function as a transcriptional regulator of MHC class I pathway components .
LILRB5 antibodies are typically generated against specific regions of the human LILRB5 protein. These antibodies can be:
Biotin conjugation enhances the utility of these antibodies by enabling secondary detection systems that use streptavidin conjugates. This provides greater flexibility in detection methodologies and can significantly amplify signals due to the high-affinity interaction between biotin and streptavidin. The biotin-conjugated LILRB5 antibodies maintain their specificity while gaining versatility in experimental applications such as ELISA, flow cytometry, and immunohistochemistry . The typical preservation buffer for biotin-conjugated LILRB5 antibodies contains 0.03% Proclin 300, 50% Glycerol, and 0.01M PBS at pH 7.4, which helps maintain antibody stability and function .
LILRB5 antibodies have several key applications in immunological research:
The biotin-conjugated format enhances signal detection across these applications through streptavidin-based amplification systems, particularly beneficial in flow cytometry and immunohistochemistry applications where signal strength is critical .
For optimal flow cytometry results with biotin-conjugated LILRB5 antibodies, researchers should follow these methodological guidelines:
Cell Preparation: Prepare cells (1.0 × 10^6) by suspending them in staining buffer containing 10% FBS, 15 mM HEPES, and 2 mM EDTA in PBS .
Antibody Dilution: The optimal dilution should be determined experimentally, but typically ranges from 1:100 to 1:500 for biotin-conjugated LILRB5 antibodies .
Staining Protocol:
Controls:
Include an isotype control (e.g., rabbit IgG-biotin) treated identically to the experimental samples
Include unstained controls and single-color controls for compensation settings
For validation studies, consider using a 293T cell line transfected with a human LILRB5 expression vector as a positive control
Analysis Parameters:
This methodology has been validated in studies examining LILRB5 expression on peripheral blood monocytes, showing successful detection with properly optimized protocols .
Proper storage and handling are crucial for maintaining the activity of biotin-conjugated LILRB5 antibodies:
Storage Temperature:
Aliquoting Strategy:
For long-term experiments, create small single-use aliquots immediately after receiving the antibody
Use sterile microcentrifuge tubes and aseptic technique when preparing aliquots
Document preparation date and freeze-thaw cycle count for each aliquot
Working Solution Preparation:
When preparing diluted working solutions, use high-quality, filtered buffer solutions
Typical dilution buffers should contain 0.01M PBS (pH 7.4) with a stabilizer such as 1% BSA
Fresh working solutions should be prepared for each experiment rather than stored
Stability Considerations:
The typical shelf-life is 12 months when stored properly at -20°C or -80°C
Biotin conjugates may gradually lose activity even under optimal storage conditions
Consider including positive controls from previous batches to monitor potential decline in antibody activity
Handling During Experiments:
Keep antibodies on ice or at 4°C during experiments
Minimize exposure to light, particularly for dual-labeled antibodies
Return to -20°C storage promptly after use
These guidelines help ensure consistent antibody performance across extended experimental timeframes and reduce variability in results due to reagent degradation .
When using biotin-conjugated LILRB5 antibodies for co-immunoprecipitation studies, especially to investigate interactions with MHC class I and β2-microglobulin, the following protocol modifications are necessary:
Pre-clearing Step:
Pre-clear cell lysates with protein A/G beads for 1 hour at 4°C to reduce non-specific binding
Use lysis buffers containing protease inhibitors to preserve protein interactions
Antibody-Bead Coupling:
Instead of directly adding biotin-conjugated antibodies to the sample, first couple them to streptavidin-coated beads
Incubate 2-5 μg of biotin-conjugated LILRB5 antibody with streptavidin beads for 30-60 minutes at room temperature
Wash beads thoroughly to remove unbound antibody
Immunoprecipitation Procedure:
Add antibody-coupled beads to pre-cleared lysates
Incubate overnight at 4°C with gentle rotation
Wash beads 3-5 times with cold washing buffer containing 0.01M PBS and 0.1% Tween-20
Detection Considerations:
For Western blot detection of co-immunoprecipitated proteins, avoid using biotin-conjugated secondary antibodies as they may cross-react with the biotin on the primary antibody
Instead, use HRP-conjugated or fluorescently-labeled antibodies that recognize the Fc region of the detecting antibody
When probing for MHC class I, expect bands at approximately 42 kDa
For β2-microglobulin detection, expect bands at approximately 14 kDa
Controls:
Include appropriate negative controls such as isotype-matched biotin-conjugated IgG
Include a non-transfected cell line as a negative control when using transfected cells
When possible, perform reverse co-IP using antibodies against suspected binding partners (MHC class I or β2-microglobulin)
This approach has been validated in studies investigating LILRB5's interaction with MHC class I molecules, showing that LILRB5 immunoprecipitates contain both MHC class I proteins and β2-microglobulin .
Validating antibody specificity is crucial for generating reliable data. For biotin-conjugated LILRB5 antibodies, a multi-step validation approach is recommended:
Positive and Negative Cell Controls:
Transfection Experiments:
Cross-Reactivity Assessment:
Blocking/Competition Experiments:
Knockout/Knockdown Validation:
When available, use LILRB5 knockout or knockdown systems as the gold standard for antibody validation
Compare staining patterns in wild-type versus knockout/knockdown samples
Absence of staining in knockout/knockdown samples strongly supports antibody specificity
These validation steps have been successfully used in studies of LILRB5, particularly when examining its interactions with MHC class I molecules and its expression on monocytes .
When analyzing LILRB5 expression using biotin-conjugated antibodies in flow cytometry, researchers should be aware of these common pitfalls:
Streptavidin-Biotin Background Issues:
Endogenous biotin in samples can lead to false-positive signals
Solution: Block endogenous biotin using avidin/biotin blocking kits before adding biotin-conjugated antibodies
Compensation Challenges:
Improper compensation when using streptavidin-fluorophore conjugates can lead to spillover artifacts
Solution: Run single-color controls with each fluorophore and set compensation matrices correctly
Monocyte Autofluorescence:
Monocytes (primary LILRB5-expressing cells) exhibit significant autofluorescence
Solution: Include unstained controls and use fluorophores with emission spectra distant from autofluorescence peaks
Inconsistent Gating Strategies:
Variations in gating between experiments can lead to apparent differences in LILRB5 expression
Solution: Develop standardized gating protocols based on cell size, granularity, and lineage markers
Cell Activation During Processing:
Cell processing can alter receptor expression through activation or shedding
Solution: Minimize processing time and maintain samples at 4°C to reduce activation-induced changes
Expression Level Inconsistencies:
Antibody Titration Errors:
Insufficient titration can lead to suboptimal signal-to-noise ratios
Solution: Perform antibody titration experiments to determine optimal concentration for each specific application
During flow cytometry analysis of transfected cells expressing LILRB5, studies have shown that proper gating and antibody concentration are critical for accurately distinguishing positive from negative populations, with successful detection requiring careful optimization of these parameters .
When encountering discrepancies in LILRB5 binding studies across different experimental systems, researchers should consider these key interpretive factors:
In comparative studies examining LILRB5 binding to MHC class I molecules, researchers found that proteins from different genetic lines (6.3 vs. 7.2) showed dramatically different binding properties, demonstrating the importance of considering genetic variants when interpreting seemingly discrepant results .
Biotin-conjugated LILRB5 antibodies offer powerful tools for investigating this receptor's immunoregulatory functions:
Multi-parameter Flow Cytometry:
Combine biotin-conjugated LILRB5 antibodies with other immune markers to characterize expression patterns
Use fluorescent streptavidin conjugates for detection in multi-color panels
This approach allows correlation of LILRB5 expression with activation state, disease progression, or response to therapy
Immunomodulatory Studies:
Utilize antibodies to block or activate LILRB5 signaling in functional assays
Assess effects on T cell proliferation, cytokine production, and antigen presentation
Studies with related inhibitory receptors (LILRB3) demonstrated that ligation by agonistic antibodies can significantly inhibit T cell proliferation by up to 50%
MHC Class I Interaction Analysis:
Employ biotin-conjugated antibodies in co-localization studies with MHC class I molecules
Use techniques like proximity ligation assay (PLA) with streptavidin-conjugated detection systems
Research has shown that LILRB5 binds to MHC class I and β2-microglobulin, with this interaction regulating innate immune responses
JAK/STAT Signaling Pathway Investigations:
Cytokine Response Profiling:
Assess how LILRB5 engagement alters cytokine production profiles
Research shows LILRB5 activation significantly upregulates expression of IFN-γ (up to 44-fold), IL-17A, and IL-12p40
Protein levels of these cytokines also increase substantially (e.g., IFN-γ levels of 1312-1461 ng/mL compared to 55 ng/mL in controls)
These approaches have revealed that LILRB5 functions as a transcriptional regulator of MHC class I pathway components and plays a key role in innate immune regulation through its interactions with SHP-2, MHC class I, and β2-microglobulin .
To investigate LILRB5's interactions with MHC class I molecules, researchers can employ these methodological approaches using biotin-conjugated antibodies:
Flow-based Binding Assays:
Generate LILRB5-expressing cell lines and assess binding of fluorescently-labeled MHC class I tetramers
Use biotin-conjugated LILRB5 antibodies to block binding sites and determine specificity
Flow cytometry analysis can quantify the percentage of binding inhibition
Research shows LILRB5 binds specifically to HLA-B27 free heavy chain dimers, with binding blocked by anti-LILRB5 antisera
FRET/BRET Interaction Studies:
Couple biotin-conjugated LILRB5 antibodies with streptavidin-conjugated donor fluorophores
Use acceptor-labeled MHC class I molecules to measure energy transfer upon binding
This approach provides real-time interaction kinetics in live cells
Surface Plasmon Resonance (SPR):
Immobilize biotinylated LILRB5 antibodies on streptavidin-coated sensor chips
Capture recombinant LILRB5 in a functionally active orientation
Measure binding kinetics with various MHC class I heavy chains and β2-microglobulin
This allows precise determination of association/dissociation constants
Co-immunoprecipitation with Sequential Elution:
Use biotin-conjugated LILRB5 antibodies coupled to streptavidin beads for immunoprecipitation
Perform sequential elution steps to identify differential binding affinities
Western blot analysis of precipitates can detect MHC class I (42 kDa) and β2-microglobulin (14 kDa)
Research has demonstrated that LILRB5 immunoprecipitates contain both MHC class I and β2-microglobulin proteins
Gene Expression Analysis Following Receptor Ligation:
These approaches have been successfully employed to demonstrate that LILRB5 preferentially binds to MHC class I heavy chains compared to β2-microglobulin, with binding to MHC class I being significantly stronger .
Advanced techniques for investigating LILRB5's role in innate immune signaling include:
Phospho-specific Flow Cytometry:
Use biotin-conjugated LILRB5 antibodies for receptor identification alongside phospho-specific antibodies
Determine activation status of key signaling molecules (SHP-2, JAK/STAT) following LILRB5 engagement
Quantify changes in phosphorylation state at single-cell resolution
Research has shown LILRB5 binds to SHP-2, affecting downstream signaling cascades
CRISPR/Cas9 Receptor Editing:
Generate LILRB5 knockout or domain-specific mutant cell lines
Use biotin-conjugated antibodies to verify knockout efficiency
Compare signaling responses between wild-type and edited cells
Assess functional consequences on cytokine production and MHC class I expression
Proximity Ligation Assay (PLA):
Combine biotin-conjugated LILRB5 antibodies with antibodies against signaling molecules
Visualize protein-protein interactions at <40nm resolution in situ
Quantify interaction frequency under different stimulation conditions
Reporter Gene Assays:
Multi-omics Integration:
Combine transcriptomic, phosphoproteomic, and epigenetic analyses following LILRB5 engagement
Identify integrated signaling networks and feedback mechanisms
Data shows LILRB5 activation significantly alters expression of:
Live Cell Imaging:
Use biotin-streptavidin systems to visualize LILRB5 clustering and signaling complex formation
Track receptor internalization and trafficking following ligand binding
Correlate receptor dynamics with activation of downstream signaling events
These methodologies have revealed that LILRB5 plays a crucial role in activating the JAK/STAT signaling pathway and controlling cytokine expression in macrophages, suggesting potential therapeutic applications in immune regulation .
Research has identified functionally distinct LILRB5 genetic variants, including LILRB5R and LILRB5S. To explore these differences using biotin-conjugated antibodies:
Variant-Specific Expression Analysis:
Develop genotyping assays to identify LILRB5 variants in research samples
Use biotin-conjugated LILRB5 antibodies in flow cytometry to quantify expression levels of different variants
Compare surface density between variants using calibration beads
Research has demonstrated that variant expression affects binding capacity to MHC molecules
Differential Binding Assays:
Signaling Consequence Evaluation:
Compare signaling outcomes between variants using phospho-flow cytometry
Measure activation of downstream pathways following antibody-mediated receptor cross-linking
Correlate with functional readouts such as cytokine production
Research demonstrates LILRB5R induces significantly higher upregulation of:
Variant-Specific Immunoprecipitation:
Perform co-immunoprecipitation studies to compare protein interaction networks
Use biotin-conjugated antibodies coupled to streptavidin beads
Identify differential binding partners through mass spectrometry
Research shows variants differ in their association strength with MHC class I (stronger for LILRB5R)
Transcriptional Regulation Analysis:
Compare gene expression profiles induced by different LILRB5 variants
Measure upregulation of MHC class I pathway genes and cytokines
Studies indicate LILRB5R induces stronger expression of MHC-related genes:
Functional Consequences in Primary Cells:
Isolate primary cells from donors with different LILRB5 genotypes
Compare functional responses to stimulation
Assess effect on T cell proliferation and cytokine production
Flow cytometry analysis shows variant-dependent differences in MHC class I surface expression:
These approaches have revealed significant functional differences between LILRB5 variants, with proteins from line 6.3 showing dramatically higher binding to MHC class I than those from line 7.2, suggesting important implications for immune regulation .
Several emerging technologies show promise for expanding the applications of biotin-conjugated LILRB5 antibodies in immunotherapy research:
Bispecific Antibody Engineering:
Develop bispecific constructs combining LILRB5 targeting with T cell engagement
Engineer biotin-tagged fragments for modular assembly with streptavidin scaffolds
This approach could allow selective modulation of myeloid cell function in the tumor microenvironment
Studies of related receptors (LILRB3) demonstrate that antibody-mediated targeting can reprogram myeloid cells
CAR-Macrophage Development:
Antibody-Drug Conjugates:
Leverage biotin-streptavidin chemistry for modular assembly of LILRB5-targeted drug conjugates
Develop conjugates delivering immunomodulatory compounds to LILRB5-expressing cells
This strategy could enable selective drug delivery to myeloid populations
Single-Cell Multiomics Integration:
Combine biotin-conjugated antibody detection with single-cell RNA/ATAC-seq
Correlate LILRB5 surface expression with transcriptional and epigenetic states
This could identify novel regulatory networks influenced by LILRB5 signaling
In Vivo Imaging Applications:
Utilize biotin-conjugated antibodies with streptavidin-coupled imaging agents
Monitor LILRB5-expressing cell trafficking and localization in disease models
This approach could provide insights into myeloid cell dynamics during immune responses
Nanobody and Alternative Scaffold Development:
Engineer smaller binding domains derived from LILRB5 antibodies
Improve tissue penetration while maintaining targeting specificity
Biotin-conjugation of these smaller formats enables versatile detection systems
These technologies could help address the currently unexplored immunotherapeutic potential of LILRB5, building on findings that LILRB5 activation significantly modulates cytokine production and MHC class I expression . Given the observed inhibitory effect of related receptors on T cell proliferation, LILRB5-targeted approaches might offer novel strategies for treating inflammatory and autoimmune conditions.
Despite advances in understanding LILRB5, several key questions remain unresolved that could be addressed using biotin-conjugated antibodies:
Ligand Specificity Beyond MHC Class I:
While studies confirm LILRB5 binding to MHC class I heavy chains , other potential ligands remain unexplored
Research question: Does LILRB5 recognize non-classical MHC molecules or stress-induced ligands?
Methodology: Use biotin-conjugated antibodies in binding inhibition assays with candidate ligands
Tissue-Specific Expression Patterns:
Developmental Regulation:
Little is known about when LILRB5 expression is initiated during myeloid differentiation
Research question: How is LILRB5 expression regulated during monocyte/macrophage development?
Methodology: Use biotin-conjugated antibodies to track expression during in vitro differentiation models
Regulatory T Cell Interactions:
LILRB5's effects on T cell responses may involve regulatory T cells
Research question: Does LILRB5 signaling modulate Treg generation or function?
Methodology: Co-culture LILRB5-activated monocytes with T cells and analyze Treg induction
Cross-talk with Other Inhibitory Receptors:
Potential synergistic effects with other inhibitory receptors remain unexplored
Research question: How does LILRB5 functionally interact with other inhibitory receptors like PD-1/PD-L1?
Methodology: Use combinatorial antibody targeting approaches with biotin-conjugated LILRB5 antibodies
Epigenetic Regulation of Target Genes:
Role in Disease Pathogenesis:
LILRB5's contribution to infectious, autoimmune, or malignant diseases is poorly understood
Research question: How does LILRB5 expression or function change in disease states?
Methodology: Compare LILRB5 expression and signaling in samples from healthy and disease cohorts