The LRRC55 Antibody is a research tool designed to target the leucine-rich repeat-containing protein 55 (LRRC55), an auxiliary subunit of the large-conductance calcium-activated potassium (BK) channel. LRRC55 modulates the gating properties of the BK channel, shifting its voltage dependence of activation toward hyperpolarizing potentials in the absence of calcium . This antibody is primarily used to study LRRC55’s role in potassium channel regulation and its expression patterns in human tissues.
LRRC55 acts as a regulatory subunit for BK channels, influencing their activation kinetics. Key findings include:
The LRRC55 Antibody enables:
Immunohistochemical Analysis: Detection of LRRC55 in paraffin-embedded tissues (e.g., stomach) to map its expression .
Species-Specific Studies: Cross-reactivity with mouse and rat models facilitates comparative physiology research .
Abcam. (2020). Anti-LRRC55 Antibody (ab121412). Retrieved from Abcam .
Thermo Fisher Scientific. (2025). LRRC55 Polyclonal Antibody (PA5-53118). Retrieved from Thermo Fisher .
KEGG: ath:AT3G20997
UniGene: At.65113
LRRC55 (Leucine-rich repeat-containing protein 55) functions as an auxiliary protein of the large-conductance, voltage and calcium-activated potassium channel (BK alpha). It modulates gating properties by producing a marked shift in the BK channel's voltage dependence of activation in the hyperpolarizing direction, and functions in the absence of calcium . LRRC55 antibodies are critical research tools used to:
Detect and quantify LRRC55 protein expression in various tissues and cells
Characterize the subcellular localization of LRRC55 in relation to ion channels
Study protein-protein interactions involving LRRC55
Investigate the role of LRRC55 in neurological and physiological processes
For neuroscience applications, these antibodies are particularly valuable for studying potassium channel regulation in neuronal excitability and function.
Antibody validation using knockout (KO) cell lines is now considered the gold standard approach for ensuring specificity. A comprehensive validation should include:
| Validation Method | Technique | Controls | Expected Result |
|---|---|---|---|
| Western Blot | Protein lysates from parental and KO cells | Loading control (e.g., GAPDH) | Specific band at ~75 kDa in WT, absent in KO |
| Immunofluorescence | Parental and KO cells | Isotype control antibody | Signal in WT cells, absent in KO cells |
| Immunoprecipitation | Protein lysates with specific and control antibodies | IgG control | Target protein pulled down only with specific antibody |
The YCharOS initiative has developed standardized antibody validation procedures showing that "using a parental cell line that expresses the target protein, alongside an isogenic CRISPR knockout version of the same cell, provides rigorous and broadly applicable results" . When selecting a cell line for LRRC55 validation, researchers should prioritize lines with RNA expression levels above 2.5 log2(TPM+1) to ensure sufficient protein expression .
When selecting an LRRC55 antibody, consider these critical factors:
Application compatibility: Verify the antibody has been validated for your specific application (WB, IF, IHC, IP)
Epitope location: Consider which region of LRRC55 the antibody targets (e.g., ab121412 targets aa 100-250)
Validation data quality: Look for antibodies validated using knockout controls rather than just overexpression systems
Clonality: Determine whether a monoclonal (consistent, specific) or polyclonal (broader epitope recognition) is more appropriate
Species reactivity: Ensure cross-reactivity with your species of interest
Citation record: Check if the antibody has been successfully used in published research
Recent studies emphasize that "a combination of a biochemically purified F1 protein and recombinant V-antigen provided more protection than the individual proteins" when studying antibody interactions , suggesting that carefully considering epitope regions is critical for antibody selection.
Based on available data for LRRC55 antibodies in immunohistochemistry:
Recommended Protocol for Paraffin-Embedded Sections:
Deparaffinization and rehydration: Standard xylene and ethanol gradient
Antigen retrieval: Heat-induced epitope retrieval using citrate buffer (pH 6.0) for 20 minutes
Blocking: 5% normal serum in PBS with 0.1% Triton X-100 for 1 hour at room temperature
Primary antibody: Dilute LRRC55 antibody 1:35 (as reported for ab121412) in blocking buffer
Incubation: Overnight at 4°C in a humidified chamber
Detection: HRP-conjugated secondary antibody followed by DAB substrate
Counterstaining: Hematoxylin for nuclear visualization
For human stomach tissue, this protocol has shown strong cytoplasmic positivity in parietal cells using LRRC55 antibody . Different tissue types may require optimization of antibody concentration and antigen retrieval methods.
For optimal Western blot results with LRRC55 antibodies:
Sample preparation: Use non-reducing conditions as some LRRC55 epitopes may be sensitive to reducing agents
Expected molecular weight: Look for bands at approximately 60-75 kDa (variable due to potential post-translational modifications)
Blocking optimization: Test both BSA and milk-based blockers as some antibodies perform better with specific blocking agents
Membrane selection: PVDF membranes are recommended for optimal protein binding and signal detection
Transfer conditions: Use wet transfer at 30V overnight at 4°C for large proteins
Antibody dilution: Start with manufacturer's recommended dilution (e.g., 2 μg/mL) and optimize as needed
Visualization: HRP-conjugated secondary antibodies with enhanced chemiluminescence detection systems
As demonstrated with other antibodies: "Western blot shows lysates of mouse spleen tissue and mouse splenocytes. PVDF membrane was probed with 2 μg/mL of antibody followed by HRP-conjugated Anti-Rat IgG Secondary Antibody. A specific band was detected at approximately 75 kDa. This experiment was conducted under non-reducing conditions and using Immunoblot Buffer Group 1. No bands were observed when using reducing conditions" .
When facing inconsistent results with LRRC55 antibodies, implement this systematic troubleshooting approach:
| Issue | Potential Causes | Troubleshooting Strategy |
|---|---|---|
| No signal | Insufficient protein | Increase protein loading; verify expression with RNA data |
| Epitope masking | Try different extraction buffers; test alternative fixation methods | |
| Antibody degradation | Use a new aliquot; verify antibody storage conditions | |
| Multiple bands | Cross-reactivity | Validate with KO controls; try peptide competition assay |
| Protein degradation | Add protease inhibitors; optimize sample preparation | |
| Post-translational modifications | Treat with enzymes (e.g., phosphatases, glycosidases) | |
| High background | Non-specific binding | Optimize blocking; increase washing steps; titrate antibody |
| Secondary antibody issues | Test alternative secondary antibodies; include isotype controls |
Research has shown that "it is commonly understood that many commercial antibodies do not recognize their intended targets" , making systematic validation and troubleshooting essential.
To comprehensively evaluate potential cross-reactivity:
Sequence analysis: Perform bioinformatic analysis of epitope conservation across the LRR protein family
Knockout validation: Compare staining patterns between wildtype and LRRC55 knockout samples
Peptide competition: Pre-incubate antibody with excess synthetic peptide corresponding to the epitope region
Overexpression systems: Test antibody reactivity against cells overexpressing related LRR proteins
Immunoprecipitation-mass spectrometry: Identify all proteins captured by the antibody to detect off-target binding
Protein microarrays: Screen antibody against arrays containing multiple LRR family proteins
Studies have shown that "using an appropriately selected wild type cell and an isogenic CRISPR knockout (KO) version of the same cell as the basis for testing, yields rigorous and broadly applicable results" , making this the preferred approach for cross-reactivity assessment.
For successful immunoprecipitation with LRRC55 antibodies:
Extraction buffer optimization:
Test different lysis buffers (RIPA vs. NP-40 vs. Digitonin)
Include appropriate protease/phosphatase inhibitors
Consider native vs. denaturing conditions based on interaction stability
Antibody coupling strategy:
Direct coupling to beads may preserve antibody orientation
Pre-clearing lysates reduces non-specific binding
Consider cross-linking antibody to beads to prevent co-elution
Controls for validation:
Include isotype control antibody IP
Use LRRC55 knockout cells as negative control
Include input, flow-through, and IP fractions for analysis
Co-IP considerations:
Gentler lysis conditions preserve protein-protein interactions
Shorter incubation times may capture transient interactions
Crosslinking may stabilize weak interactions
Research has demonstrated that "an analysis of protective mAbs that bind to V-antigen was made to assess binding sites, avidities, and affinities" , highlighting the importance of characterizing antibody-antigen interactions for optimal immunoprecipitation results.
Structural modifications significantly impact antibody performance and should be considered when selecting or modifying LRRC55 antibodies:
| Modification | Impact on Function | Research Implications |
|---|---|---|
| N-linked glycosylation in variable domains | Can increase binding affinity up to 2-fold | May enhance detection of low-abundance LRRC55 |
| Fc modifications (L234A/L235A) | Reduces FcγR binding | Minimizes non-specific background in tissue with high FcR expression |
| YTE mutations (M252Y/S254T/T256E) | Increases binding to FcRn; extends half-life | Beneficial for in vivo applications requiring extended antibody persistence |
| Fab and F(ab')2 fragments | Eliminates Fc-mediated effects | Reduces background in immunohistochemistry applications |
| Single amino acid substitutions in CDRs | Can alter binding specificity and affinity | May be engineered for enhanced LRRC55 recognition |
Research has shown that "Variable domain glycans are postulated to convey a selective advantage through interaction with lectins and/or microbiota" and that "N-linked glycosylation sites in the VH and VL regions have been observed in 10-25% of all serum IgG, which can contribute to both antibody stability, and modulate antigen binding" .
For accurate quantification of LRRC55 protein levels:
Quantitative Western blotting:
Use recombinant LRRC55 protein standards to create a calibration curve
Implement near-infrared fluorescent secondary antibodies for broader dynamic range
Analyze band intensity with specialized software (ImageJ, Image Studio)
Include appropriate housekeeping controls for normalization
ELISA development:
Design sandwich ELISA using antibodies targeting different LRRC55 epitopes
Establish standard curves with recombinant LRRC55 protein
Validate assay parameters (sensitivity, linearity, reproducibility)
Optimize sample dilution to ensure measurements within linear range
Flow cytometry quantification:
Use antibody binding capacity (ABC) beads to convert fluorescence to molecules/cell
Implement proper compensation for multi-parameter analysis
Compare to quantitative reference standards
Surface plasmon resonance:
LRRC55 antibodies are being applied in cutting-edge neuroscience research in several key areas:
BK channel regulation studies: Investigating how LRRC55 modulates BK channel gating properties in different neuronal populations
Neurological disorder research: Examining potential alterations in LRRC55 expression or localization in models of epilepsy, stroke, and neurodegenerative diseases
Circuit-specific functions: Using LRRC55 antibodies in combination with other neuronal markers to identify cell populations with specific electrophysiological properties
Developmental neurobiology: Tracking LRRC55 expression through different developmental stages to understand its role in neuronal maturation
These research applications benefit from highly specific antibodies validated using knockout controls, as "one of the main barriers to large-scale production of high-quality antibodies is the lack of availability of KO lines derived from cells that express detectable levels of each human protein" .
The antibody validation field is evolving rapidly with several important developments:
Consortium-based validation initiatives:
YCharOS (Antibody Characterization through Open Science) has developed standardized protocols for antibody validation
"Academic and industry scientists collaborate on a new method to characterize research antibodies"
The initiative has tested approximately 1,200 antibodies against 120 protein targets
Knockout-based validation becoming standard:
"Using an appropriately selected wild type cell and an isogenic CRISPR knockout (KO) version of the same cell as the basis for testing, yields rigorous and broadly applicable results"
"Creation of a broadly accessible biobank of bespoke KO cells for each human gene should be a priority for the community"
Multi-application testing:
Data sharing platforms:
These developments are improving the reproducibility of antibody-based research and helping researchers select appropriate LRRC55 antibodies for their specific applications.
When comparing commercial LRRC55 antibodies, consider these critical factors:
Validation methodology:
Prioritize antibodies validated with knockout controls
Compare validation data across different applications (WB, IP, IF)
Assess whether validation was performed in conditions relevant to your research
Clonality and production method:
Recombinant antibodies offer superior batch-to-batch consistency
"Most antibody manufacturers prioritized renewable antibodies. The highest priority was given to recombinant antibodies as they represent the ultimate renewable reagent"
Monoclonal antibodies provide consistency while polyclonals may offer higher sensitivity
Epitope considerations:
Compare antibodies targeting different epitopes of LRRC55
Consider whether the epitope is accessible in your experimental conditions
Evaluate conservation of the epitope across species of interest
Published literature:
Assess citation history in peer-reviewed publications
Look for antibodies used successfully in your specific application
Consider reaching out to authors who have published using the antibody
Quantitative validation metrics:
Signal-to-noise ratio in relevant applications
Binding affinity and avidity measurements if available
Detection limit for low-abundance samples