CCRL2/LCCR is a 7-transmembrane chemokine receptor-like protein expressed on macrophages, mast cells, and glial cells at inflammatory sites. It binds ligands such as Chemerin, CCL2, CCL5, CCL7, and CCL8, modulating immune responses .
| Property | Details |
|---|---|
| Species Reactivity | Mouse, Human, Rat |
| UniProt Accession | O35457 |
| Molecular Weight | ~55 kDa (predicted) |
| Key Functions | Immune modulation, chemotaxis, inflammatory response regulation |
RAW 264.7 Mouse Cells: MAB5519 demonstrated specific binding to CCRL2/LCCR in the RAW 264.7 monocyte/macrophage cell line, validated via Phycoerythrin-conjugated secondary antibodies .
Sensitivity: Effective at 2.5 µg/10⁶ cells, with clear differentiation from isotype controls .
Localization: CCRL2/LCCR was detected in the cytoplasm of RAW 264.7 cells using NorthernLights™ 557-conjugated secondary antibodies .
| Application | Recommended Usage | Sample | Result |
|---|---|---|---|
| Flow Cytometry | 2.5 µg/10⁶ cells | RAW 264.7 mouse cells | Specific binding (MFI ≥ 10³) |
| Immunocytochemistry | 8–25 µg/mL | Immersion-fixed RAW 264.7 cells | Cytoplasmic localization confirmed |
| CyTOF-ready | Conjugation-compatible (no carrier proteins) | N/A | Validated for mass cytometry workflows |
KEGG: ath:AT5G48905
STRING: 3702.AT5G48905.1
Antibody validation is critical for ensuring experimental reproducibility. For LCR12 antibody, comprehensive validation should document several key aspects: (1) confirmation that the antibody binds to the target protein, (2) verification that the antibody binds to the target protein when in complex mixtures such as cell lysates or tissue sections, (3) demonstration that the antibody does not cross-react with non-target proteins, and (4) confirmation that the antibody performs consistently under your specific experimental conditions .
Methodologically, this validation should include:
Western blot analysis using positive and negative controls (including knockout samples when possible)
Immunoprecipitation followed by mass spectrometry to confirm target binding
Immunofluorescence with appropriate controls to verify specificity
Comparison with other antibodies targeting the same protein but recognizing different epitopes
It's estimated that approximately 50% of commercial antibodies fail to meet basic standards for characterization, resulting in financial losses of $0.4-1.8 billion annually in the United States alone . This underscores the importance of thorough validation before proceeding with experiments.
Determining optimal working concentration requires systematic titration experiments across multiple applications. For applications like Western blotting, begin with a concentration range of 0.1-2 μg/ml and perform dilution series to identify the concentration that provides the best signal-to-noise ratio. For immunofluorescence, typically higher concentrations (1-5 μg/ml) may be required .
A methodical approach includes:
| Application | Starting Concentration | Dilution Range | Assessment Criteria |
|---|---|---|---|
| Western Blot | 1 μg/ml | 0.1-2 μg/ml | Signal specificity, background level |
| Immunofluorescence | 2 μg/ml | 1-5 μg/ml | Specific signal localization, background |
| Immunoprecipitation | 2-5 μg | 1-10 μg per reaction | Pull-down efficiency, non-specific binding |
| ELISA | 0.5 μg/ml | 0.1-1 μg/ml | Standard curve linearity, detection limit |
Remember that optimal concentrations may vary between different cell types or tissue samples, requiring optimization for each experimental system .
For subcellular localization studies using LCR12 antibody, immunofluorescence microscopy is the primary approach. Based on protocols adapted from Rab protein studies, consider the following methodology :
Cell preparation: Plate cells on poly-lysine-coated coverslips or 96-well plates at 60-70% confluence.
Transfection (if using overexpression systems): Use Lipofectamine LTX with Plus Reagent for optimal transfection efficiency.
Fixation: Fix cells with 4% paraformaldehyde for 15 minutes at room temperature.
Permeabilization: Use 0.1% Triton X-100 for 10 minutes to maintain membrane integrity while allowing antibody access.
Blocking: Block with 5% BSA for 1 hour to reduce non-specific binding.
Primary antibody incubation: Apply LCR12 antibody at optimized concentration (typically 1-5 μg/ml) overnight at 4°C.
Secondary antibody application: Use appropriate fluorophore-conjugated secondary antibodies (Alexa Fluor conjugates are recommended).
Co-staining: Include markers for specific subcellular compartments such as LAMP1 for lysosomes or GM130 for Golgi.
Imaging: Use confocal microscopy with a 63× water immersion objective for optimal resolution.
For quantification, calculate Pearson's correlation coefficient (PCC) to measure colocalization with subcellular markers on a per-cell basis from approximately 3 wells across three independent biological replicates .
When investigating protein-protein interactions, LCR12 antibody can be employed in multiple complementary approaches:
Co-immunoprecipitation (Co-IP):
Use 2-5 μg of antibody per IP reaction
Consider both native IP and crosslinked IP approaches
Include appropriate controls (IgG control, knockout/knockdown samples)
Validate interactions by reverse Co-IP when possible
Proximity Ligation Assay (PLA):
Provides higher sensitivity than conventional co-localization
Requires optimization of primary antibody concentrations
Use antibodies raised in different species to avoid cross-reactivity
Include appropriate controls to validate specificity
FRET/BRET assays:
Complementary approach for confirming direct interactions
Requires fusion proteins rather than antibodies directly
LCR12 antibody can validate expression levels of fusion proteins
For investigating dynamic interactions, consider using cell stress conditions that might affect the interaction. For example, when studying interactions with lysosomal proteins, applying L-leucyl-L-leucine methyl ester (LLOMe, 1 mM for 2 hours) can induce lysosomal membrane damage and potentially alter protein associations .
Non-specific binding represents one of the major challenges in antibody-based experiments. For LCR12 antibody, several common issues and solutions include:
High background in Western blots:
Increase blocking time/concentration (try 5% BSA or 5% milk)
Reduce primary antibody concentration
Add 0.1-0.3% Tween-20 to washing buffers
Increase number and duration of washes
Test alternative membrane blocking reagents
Non-specific bands in immunoblotting:
Increase antibody specificity by using immunoprecipitation before Western blotting
Verify bands using knockout/knockdown controls
Use gradient gels for better protein separation
Consider different lysis buffers to reduce protein degradation
Diffuse staining in immunofluorescence:
Optimize fixation protocol (PFA vs. methanol)
Test different permeabilization reagents and concentrations
Increase blocking time to reduce non-specific binding
Use more stringent washing conditions
Consider antigen retrieval methods for certain samples
Quantitative analysis of subcellular localization requires rigorous image acquisition and analysis protocols. Based on approaches used in Rab protein studies, consider the following methodology :
Image acquisition:
Use confocal microscopy with consistent settings across all samples
Acquire multiple z-stacks (0.2-0.3 μm steps) to capture the entire cell volume
Include at least 30 fields per condition across three independent experiments
Use an automated imaging system (e.g., Opera Phenix Plus) for unbiased acquisition
Colocalization analysis:
Calculate Pearson's correlation coefficient (PCC) between LCR12 antibody and subcellular markers
Analyze on a per-cell basis (approximately 30-50 cells per condition)
Use specialized software (e.g., Harmony image analysis software, versions 5.1 and 4.9)
Quantification of protein distribution:
Segment subcellular compartments using appropriate markers
Calculate the percentage of LCR12 signal intensity in specific compartments compared to whole cell
For example, in Rab12 studies, approximately 1% of total Rab12 was present on lysosomes at baseline, increasing to approximately 1.5% following lysosomal damage
Statistical analysis:
Apply appropriate statistical tests (typically ANOVA with post-hoc tests)
Present data as mean ± SEM from at least three independent experiments
Consider using more advanced statistics for complex distributions
For dynamic studies (e.g., tracking translocation following stimulus), time-lapse imaging with consistent intervals is recommended, with subsequent quantification at each timepoint.
When working with antibodies across different sample types and species, performance can vary significantly due to epitope conservation, tissue processing methods, and matrix effects. For LCR12 antibody:
| Sample Type | Expected Performance | Special Considerations |
|---|---|---|
| Cell lines | Highest specificity | Optimize fixation for each cell type |
| Frozen tissue sections | Good detection | May require longer antibody incubation |
| FFPE tissues | Variable reactivity | Antigen retrieval critical |
| Mouse samples | Good cross-reactivity | Validate using knockout controls |
| Rat samples | Good cross-reactivity | Higher background in some tissues |
| Human samples | Variable cross-reactivity | Validate with multiple human samples |
When working with different species, always validate the antibody's cross-reactivity experimentally. For example, the 12-LO Antibody (C-5) has demonstrated cross-reactivity with mouse, rat, and human 12-LO proteins , but this should be confirmed for your specific application and sample type.
For tissue samples, consider tissue-specific optimization of protocols, as antibody penetration, background, and epitope accessibility may vary. When comparing results across species, be aware that differences in protein expression patterns rather than antibody performance may account for observed variations.
For investigating dynamic protein localization with LCR12 antibody, several advanced imaging techniques can be employed:
Live-cell imaging with fluorescently tagged antibody fragments:
Super-resolution microscopy:
STED microscopy: Provides ~70 nm resolution to resolve closely associated structures
STORM/PALM: Achieves ~20 nm resolution for precise localization
SIM: Offers ~100 nm resolution with less specialized equipment
FRAP (Fluorescence Recovery After Photobleaching):
Useful for studying protein mobility and dynamics
Requires fluorescently tagged proteins rather than antibodies directly
Can be combined with LCR12 antibody staining to confirm specificity
Intravital microscopy:
For in vivo studies of protein dynamics
Requires specialized equipment and surgical procedures
Limited to surface tissues unless using optical windows
For analyzing dynamic translocation events, such as protein recruitment to damaged lysosomes, time-resolved imaging following stimulus application is recommended. For example, in studies of Rab12 recruitment to damaged lysosomes, significant increases in localization were observed within 2 hours of lysosomal damage induction .
Distinguishing genuine signals from artifacts requires rigorous experimental design and careful controls. Implement these strategies to ensure accurate data interpretation:
Essential controls:
Negative controls: Samples known not to express the target protein (knockout/knockdown)
Peptide competition assays: Pre-incubation of antibody with immunizing peptide should abolish specific signal
Secondary-only controls: To detect non-specific binding of secondary antibodies
Isotype controls: Using non-specific IgG of the same isotype as LCR12 antibody
Validation strategies:
Use multiple antibodies targeting different epitopes of the same protein
Compare results with orthogonal methods (e.g., mass spectrometry)
Verify with genetic approaches (siRNA knockdown, CRISPR knockout)
Use inducible expression systems to create positive controls
Technical considerations:
Autofluorescence: Particularly problematic in certain tissues; use spectral unmixing
Edge effects: Artifacts at sample boundaries; exclude from analysis
Fixation artifacts: Compare different fixation methods
Antibody batch variation: Document lot numbers and maintain consistency
It's important to note that estimated 50% of commercial antibodies fail to meet basic standards for characterization , highlighting the importance of these validation steps.
Quantitative assessment:
Signal-to-noise ratio calculations
Statistical comparison to background levels
Consistency across technical and biological replicates
Differentiating between expression changes and localization shifts requires careful experimental design and quantitative analysis:
Experimental approach:
Combine whole-cell protein quantification (Western blot) with subcellular fractionation
Use immunofluorescence to assess localization patterns
Consider pulse-chase experiments to track protein movement
Quantification methods:
For expression changes: Normalize target protein to loading controls (e.g., GAPDH, β-actin)
For localization changes: Calculate percentage of signal in specific compartments relative to total signal
Analysis framework:
| Observation | Expression Change | Localization Change | Both |
|---|---|---|---|
| Total protein level | Changed | Unchanged | Changed |
| Subcellular distribution | Proportionally uniform | Redistributed | Redistributed |
| Compartment-specific changes | Proportional to total | Disproportionate | Complex pattern |
Case study example:
In studies of Rab12 protein, lysosomal damage increased Rab12 localization to lysosomes from approximately 1% to 1.5% of total Rab12 (as determined by subcellular fractionation) and from 12% to 14% (as determined by imaging analysis) . This represents a localization change rather than an expression change, as the total Rab12 levels remained constant.
Advanced approaches:
Combine with protein synthesis inhibitors (e.g., cycloheximide) to distinguish new synthesis from redistribution
Use photoconvertible fusion proteins to track specific protein populations
Consider SILAC or other metabolic labeling approaches for quantitative proteomics