The LILRA5 antibody is a research tool designed to detect the Leukocyte Immunoglobulin-Like Receptor Subfamily A Member 5 (LILRA5) protein. LILRA5 belongs to the LILR family of innate immune receptors, which regulate leukocyte activation through activating and inhibitory functions . Its expression is primarily observed in monocytes and neutrophils, where it plays a role in triggering proinflammatory cytokine production (e.g., TNF-α, IL-1β, IL-6) upon receptor crosslinking .
LILRA5 is encoded by the LILRA5 gene located on chromosome 19q13.4 and exists in four alternatively spliced isoforms, including membrane-bound and soluble forms . Its extracellular domain contains two C2-type Ig-like domains, enabling interactions with ligands such as β-amyloid . Functional studies indicate that LILRA5 activation induces calcium flux and cytokine secretion, suggesting its role in innate immune modulation .
| Isoform | Molecular Weight | Expression |
|---|---|---|
| Membrane-bound | ~39-40 kDa | Monocytes, neutrophils |
| Soluble | ~35 kDa | Transfected cells (COS) |
The LILRA5 antibody is commonly used in:
Flow Cytometry: Detects LILRA5 expression on monocytes and neutrophils (e.g., R&D Systems #AF6754) .
Western Blot: Validates LILRA5 protein presence in cell lysates (e.g., Proteintech #18821-1-AP, 1:500–1:2000 dilution) .
Immunohistochemistry: Identifies LILRA5 in synovial tissue macrophages of rheumatoid arthritis patients .
Alzheimer’s Disease: GWAS studies link LILRA5 variants to late-onset Alzheimer’s, potentially via β-amyloid interactions .
Rheumatoid Arthritis: Elevated LILRA5 expression in synovial macrophages correlates with cytokine-driven inflammation (IL-10, TNF-α) .
LILRA5 (Leukocyte Immunoglobulin-Like Receptor A5) is an activating immune receptor expressed on human phagocytes that plays a role in triggering innate immune responses. The canonical protein has a length of 299 amino acid residues with a molecular mass of approximately 32.8 kDa . LILRA5 co-localizes with FcRγ and functions as an activating receptor that can stimulate reactive oxygen species (ROS) production in phagocytes .
Key characteristics include:
Subcellular localization: Cell membrane and secreted forms
Expression profile: Primarily in hematopoietic tissues including bone marrow, spleen, lymph node, and peripheral leukocytes
Post-translational modifications: Glycosylation has been documented
Alternative names: CD85 antigen-like family member F, immunoglobulin-like transcript 11 protein (ILT11), leucocyte Ig-like receptor A5, leukocyte Ig-like receptor 9, and CD85f
Recent research has demonstrated that LILRA5 functions to induce ROS production in innate immune cells, suggesting a role in bacterial defense mechanisms .
LILRA5 antibodies serve multiple experimental purposes based on the current literature:
Most commercially available LILRA5 antibodies show reactivity with human samples, with some products reporting cross-reactivity with mouse and rat orthologs . When selecting an antibody, researchers should consider the specific epitope recognition, as this may affect detection of different LILRA5 isoforms .
Confirming antibody specificity is critical for reliable research results. Based on the methods described in recent studies, a comprehensive validation approach includes:
Recombinant protein binding tests: Test antibody binding to recombinant LILRA5 compared to related proteins (other LILRs and LAIR1) using techniques like ELISA or bead-based assays .
Cell line validation: Compare antibody binding between:
Flow cytometry comparison:
Western blot validation:
Knockout/knockdown controls: If available, use LILRA5 knockout or knockdown cells as negative controls.
A high-quality validation example from recent research demonstrated specificity through flow cytometry analysis where "anti-LILRA5 P4-11A mAb binds to human rLILRA5, but not to any of the closely related human rLILR that are most likely to be cross-reactive, nor to an immune receptor from a different family called LAIR1" .
Recent research has established robust protocols for studying LILRA5-mediated ROS production in phagocytes . An optimized methodological approach includes:
Antibody-mediated crosslinking assay:
Plate-coating: Coat microplates with 5 μg/ml of anti-LILRA5 antibody in PBS overnight at 4°C
Controls: Include isotype-matched control antibodies and positive controls (such as anti-CD3ζ antibodies)
Cell preparation: Isolate primary monocytes or neutrophils, or use suitable cell lines
ROS detection: Use luminol-enhanced chemiluminescence or fluorescent ROS indicators
Reporter cell system approach:
Generate LILRA5CD3ζ reporter cell lines using the following strategy:
Create a DNA construct containing LILRA5 extracellular and transmembrane domains fused to CD3ζ cytoplasmic tail
Transduce into NFAT-GFP reporter cells (e.g., 2B4 NFAT-GFP T cells)
Confirm expression using flow cytometry
Measure activation through GFP induction upon antibody crosslinking
Ex vivo stimulation protocols:
When interpreting results, it's important to account for the dynamic regulation of surface LILRA5 expression, which may impact ROS production capacity under different conditions or time points.
LILRA5 shows complex expression patterns during infection and sepsis that are important for potential biomarker applications:
Research findings indicate:
Transcript vs. protein discrepancy: While LILRA5 transcripts are significantly increased in human bacterial infections and sepsis, surface protein expression remains relatively unchanged .
Post-transcriptional regulation: Surface LILRA5 expression appears to be dynamically regulated post-transcriptionally, with LPS stimulation affecting expression levels while bacterial infection of whole blood does not .
Soluble LILRA5 increase: Enhanced levels of soluble LILRA5 in sepsis patients' sera and in supernatants of LPS-stimulated monocytes suggest either shedding from cell surfaces or expression of soluble isoforms .
For biomarker development, these findings suggest:
Soluble LILRA5 may be more promising than surface expression for diagnostic applications
A combined approach measuring both transcript and protein levels could provide complementary information
Time-course studies would be essential to understand the dynamics of LILRA5 expression during disease progression
Researchers should note that "altered surface LILRA5 expression influences LILRA5-induced ROS production capacity" , suggesting functional consequences of expression changes that could affect disease pathophysiology.
Distinguishing between membrane-bound and soluble LILRA5 isoforms requires a multi-faceted approach:
Antibody-based discrimination:
Epitope-specific antibodies: Use antibodies targeting regions present in all isoforms versus those specific to certain isoforms
Flow cytometry: Detects surface (membrane-bound) LILRA5 on intact cells
ELISA/immunoassays: Quantify soluble LILRA5 in serum or culture supernatants
Molecular characterization:
Western blotting with size discrimination: The canonical membrane-bound form is approximately 32.8 kDa, while soluble forms may show different molecular weights
PCR-based isoform detection: Design primers to amplify specific isoforms based on known splice variants
Functional separation techniques:
Ultracentrifugation: Separate membrane fragments containing LILRA5 from soluble forms
Immunoprecipitation: Use antibodies specific to membrane-associated proteins to deplete membrane-bound forms
Recombinant expression systems:
Generate cell lines expressing specific LILRA5 isoforms as reference standards
Create chimeric proteins with tags to distinguish isoforms
When conducting experiments, researchers should consider that "shedding of LILRA5 from cell surfaces or expression of sLILRA5 isoforms provides a mechanism to regulate surface LILRA5 expression levels" , which may have functional significance in different physiological contexts.
Based on recent research findings suggesting LILRA5's involvement in bacterial defense , optimal experimental designs should:
Infection models:
Ex vivo whole blood infection:
Challenge with different bacterial pathogens (e.g., E. coli, S. aureus)
Assess LILRA5 expression at transcript and protein levels
Measure functional outputs (ROS production, cytokine release)
Primary cell culture systems:
Isolate monocytes and neutrophils from healthy donors
Challenge with live bacteria or bacterial components (LPS, peptidoglycan)
Monitor LILRA5 expression and function over time
Functional modulation approaches:
Antibody-mediated crosslinking: Use agonistic anti-LILRA5 antibodies to trigger signaling
Blocking experiments: Use antagonistic antibodies or soluble LILRA5 to inhibit function
Genetic manipulation: Knockdown or overexpress LILRA5 in relevant cell types
ROS production assessment:
Chemiluminescence assays for quantitative measurement
Fluorescent indicators for single-cell or microscopy-based detection
Correlate ROS production with bacterial killing capacity
Clinical correlation studies:
Compare LILRA5 expression patterns in patients with different infectious diseases
Correlate expression with disease severity, clinical outcomes, and traditional biomarkers
Analyze both surface expression on immune cells and soluble LILRA5 in serum
Multi-omics integration:
Combine transcriptomics, proteomics, and functional assays
Identify potential regulatory networks and downstream targets
Map LILRA5 signaling pathways in response to bacterial challenges
One research group recently found that "LILRA5 transcripts are significantly increased in human bacterial keratitis and in human sepsis" , supporting its potential role in bacterial defense. The investigators concluded that "this is suggestive that LILRA5 has a role in bacterial defence and could be a useful biomarker for rapid diagnosis of inflammation triggered by bacterial pathogens" .
Recent research has revealed that surface LILRA5 expression is dynamically regulated post-transcriptionally , making this an important area for investigation. A comprehensive approach includes:
Transcript-protein correlation analysis:
qPCR for transcript quantification alongside flow cytometry for surface protein expression
Time-course studies following stimulation with different agents (e.g., LPS, cytokines, bacterial pathogens)
Single-cell analysis to identify cell-specific regulation patterns
mRNA stability and translation studies:
Actinomycin D chase experiments to measure mRNA half-life under different conditions
Polysome profiling to assess translational efficiency
Analysis of 3'UTR regulatory elements that might influence stability or translation
Protein trafficking and turnover assessment:
Pulse-chase experiments to measure protein half-life
Surface biotinylation to track internalization and recycling
Inhibitor studies targeting different degradation pathways (proteasome, lysosome)
Soluble isoform characterization:
Analysis of alternative splicing patterns through RNA-seq
Examination of proteolytic processing using inhibitors of different proteases
Quantification of soluble LILRA5 release following different stimuli
Regulatory factor identification:
RNA-binding protein immunoprecipitation to identify factors controlling mRNA stability or translation
CRISPR screens targeting potential regulatory factors
Analysis of microRNAs that might target LILRA5 mRNA
Previous studies have observed that "Ex vivo bacterial infection of whole blood did not alter surface LILRA5 expression, but LPS stimulation changed expression levels" , highlighting the complexity of LILRA5 regulation. Additionally, researchers found that "soluble (s)LILRA5 was enhanced in sera from sepsis patients and in supernatants of monocytes that were LPS-stimulated" , suggesting multiple mechanisms of regulation.
Researchers working with LILRA5 antibodies may encounter several technical challenges:
One research team developed a "highly-specific anti-LILRA5 monoclonal antibody that has agonistic properties" , demonstrating the importance of thorough antibody characterization. Their validation approach included:
Testing binding to recombinant LILRA5 versus related proteins
Comparing binding between LILRA5-transfected and control cell lines
Establishing concentration-dependent binding
Confirming specificity through multiple techniques
For researchers developing new antibodies, hybridoma techniques have been successfully employed, with one group describing: "Anti-LILRA5 P4-11A mAb was purified from a hybridoma derived from fusion of myeloma NS1/0 cells with spleen cells from Balb/c mice immunised with rLILRA5-His" .
LILRA5 co-localizes with FcRγ and transduces signals through association with immunoreceptor tyrosine-based activation motif (ITAM)-containing FcRγ chains . To effectively study this functional relationship:
Co-immunoprecipitation approaches:
Precipitate LILRA5 and probe for FcRγ association
Use cross-linking reagents to stabilize transient interactions
Include controls for specificity (other LILR family members)
Functional reconstitution systems:
Express LILRA5 in cells lacking endogenous FcRγ
Co-express LILRA5 with wild-type or mutant FcRγ
Measure functional outputs (calcium flux, reporter activation)
Mutational analysis:
Generate LILRA5 mutants affecting putative FcRγ interaction sites
Create chimeric receptors with other LILR extracellular domains
Assess functional consequences of mutations
Microscopy-based approaches:
Fluorescence resonance energy transfer (FRET) to measure direct interaction
Co-localization studies using confocal microscopy
Live cell imaging to track dynamics of association
Signaling pathway analysis:
Phospho-flow cytometry to assess ITAM-dependent signaling events
Inhibitor studies targeting specific components of the signaling cascade
Compare signaling patterns between LILRA5 and other FcRγ-associated receptors
CRISPR/knockdown approaches:
Generate FcRγ-deficient cells and assess LILRA5 function
Rescue experiments with different FcRγ variants
Target downstream signaling components to map pathway dependencies
A technical consideration is that "LILRAs transduce signals through an association with immunoreceptor tyrosine-based activation motif (ITAM)-containing high affinity IgE Fc epsilon receptor type I γ chain (FcεRIγ)" , requiring careful design of experiments to distinguish LILRA5-specific effects from those mediated by other FcRγ-associated receptors.
Developing robust assays for soluble LILRA5 in clinical samples requires rigorous controls and validation:
Analytical validation parameters:
Limit of detection and quantification
Linearity across the physiological range of concentrations
Precision (intra- and inter-assay coefficients of variation)
Accuracy (spike-recovery experiments)
Specificity (cross-reactivity with related proteins)
Sample-related controls:
Matrix effect assessment (comparing standards in buffer vs. biological matrix)
Stability studies (freeze-thaw cycles, temperature, storage time)
Interference testing (hemolysis, lipemia, common medications)
Antibody selection considerations:
Epitope mapping to ensure detection of all relevant isoforms
For sandwich assays, use antibody pairs recognizing non-overlapping epitopes
Validation with recombinant soluble LILRA5 standards
Testing with samples from diverse clinical conditions
Reference standards and calibrators:
Develop stable, well-characterized recombinant standards
Include international reference materials if available
Prepare multi-level calibrators covering the entire measurement range
Clinical validation approaches:
Establish reference ranges in healthy populations
Analyze samples from relevant disease states (sepsis, infections)
Compare against existing biomarkers or gold standard methods
Assess clinical sensitivity and specificity for intended use
Quality control measures:
Include internal QC samples at multiple concentrations
Participate in external quality assessment programs if available
Implement Westgard rules for run validation
Research has shown that "soluble (s)LILRA5 was enhanced in sera from sepsis patients" , indicating the potential clinical utility of such assays. Additionally, since "shedding of LILRA5 from cell surfaces or expression of sLILRA5 isoforms provides a mechanism to regulate surface LILRA5 expression levels" , measurement of soluble forms could provide insights into the biology of LILRA5 regulation.