The CROT antibody targets carnitine O-octanoyltransferase (CROT), a peroxisomal enzyme critical for fatty acid metabolism, particularly in the beta-oxidation of medium-chain fatty acids. CROT facilitates the conversion of 4,8-dimethylnonanoyl-CoA to its carnitine ester, a key step in lipid metabolism . The antibody is primarily used in molecular biology research, including Western blotting (WB), immunohistochemistry (IHC), immunofluorescence (IF), and flow cytometry, to detect CROT protein expression in tissues and cells .
CDR-L1/L2/L3: Variable regions on the light chain.
CDR-H1/H2/H3: Variable regions on the heavy chain.
CDR-H3: Longest and most diverse region, critical for antigen specificity.
CROT antibody specificity is confirmed using KO cell lines (e.g., A2780-PTX), where CROT expression is undetectable . This approach aligns with recommendations from the YCharOS study, which emphasizes KO controls for antibody validation .
CROT is downregulated in ovarian cancer (OC) tissues and paclitaxel-resistant cells . Overexpression of CROT inhibits OC cell proliferation, migration, and invasion while promoting apoptosis . Mechanistically, CROT negatively regulates the TGF-β signaling pathway by decreasing Smad2 phosphorylation .
CROT (Carnitine O-octanoyltransferase) plays a critical role in lipid metabolism, particularly in beta-oxidation of fatty acids. It demonstrates highest activity with C6 to C10 chain length substrates and converts 4,8-dimethylnonanoyl-CoA (the end product of pristanic acid beta-oxidation) to its corresponding carnitine ester . This peroxisomal transesterification is necessary for transport of medium- and long-chain acyl-CoA molecules from peroxisomes to cytosol and mitochondria . Understanding CROT function is essential for research on lipid metabolism disorders and related pathologies.
Several types of CROT antibodies are commercially available:
Research indicates that recombinant antibodies generally outperform both monoclonal and polyclonal antibodies across multiple assays . The specific choice depends on experimental requirements and application.
Proper validation is critical given that approximately 50% of commercial antibodies fail to meet basic standards for characterization . Best practices include:
Using knockout (KO) cell lines as negative controls (gold standard)
Testing in multiple applications (WB, IP, IF) with appropriate controls
Confirming band appearance at expected molecular weight (70 kDa for CROT)
Cross-validating with antibodies targeting different epitopes
The YCharOS initiative found that KO cell lines provide superior validation compared to other controls, particularly for immunofluorescence . Their analysis revealed that an average of ~12 publications per protein target included data from antibodies that failed to recognize the relevant target protein.
Western blotting protocols should be optimized based on the specific antibody:
For ab175450 (Abcam):
Concentration: 1 μg/mL
Primary incubation: 1 hour
Detection: Chemiluminescence
For 13543-1-AP (Proteintech):
Dilution: 1:10000
Incubation: Room temperature for 1.5 hours
Various lysates can be used, with liver tissue showing strong expression
Critical controls should include:
Positive control (liver lysate)
Negative control (preferably KO cell line)
Appropriate loading controls
For paraffin-embedded tissues, demonstrated protocols include:
Sample preparation: Formalin fixation and paraffin embedding of tissues
Deparaffinization and antigen retrieval (method may vary by antibody)
Blocking of endogenous peroxidases and non-specific binding
Primary antibody incubation: 1:100 dilution for 13543-1-AP antibody (demonstrated in human liver cancer tissue)
Detection system application (e.g., HRP-conjugated secondary antibody)
Chromogenic development and counterstaining
Successful IHC staining has been demonstrated with CROT antibodies in both 10x and 40x magnification views of liver cancer tissues .
Based on validated protocols:
Fixation: -20°C Ethanol demonstrated for HepG2 cells
Blocking: Standard blocking solution
Primary antibody: 1:400 dilution of 13543-1-AP
Secondary antibody: CoraLite®488-Conjugated AffiniPure Goat Anti-Rabbit IgG(H+L)
Counterstaining for nuclei (DAPI recommended)
CROT's peroxisomal localization should produce a distinctive punctate staining pattern in cells with high expression.
Yes, flow cytometry has been validated with CROT antibodies. For example:
Sample preparation: 1x10^6 HepG2 cells
Fixation and permeabilization (required for intracellular staining)
Antibody concentration: 0.25 μg of 13543-1-AP
Detection: CoraLite®488-Conjugated Goat Anti-Rabbit IgG(H+L)
Appropriate isotype controls and compensation settings are essential for accurate interpretation.
Distinguishing specific from non-specific binding requires multiple validation approaches:
Knockout validation: Using CROT KO cells provides the most stringent control
Expression pattern analysis: CROT should show enrichment in tissues with high peroxisomal content (e.g., liver)
Multiple antibodies comparison: Different antibodies targeting distinct epitopes should show similar patterns
Peptide competition: Pre-incubating the antibody with the immunizing peptide should abolish specific signal
The YCharOS initiative has demonstrated that ~50-75% of proteins are covered by at least one high-performing commercial antibody, depending on the application . This indicates that despite concerns about antibody quality, reliable reagents exist when properly validated.
When studying CROT in the context of metabolic pathways:
Consider its functional relationship with other proteins in fatty acid metabolism
Account for tissue-specific expression patterns (highest in peroxisome-rich tissues)
Evaluate experimental conditions that might alter lipid metabolism (fasting, high-fat diet, etc.)
For multiplex studies, ensure antibody compatibility (host species, detection systems)
Design appropriate controls for each specific application
For advanced studies, consider complementary approaches such as immuno-MRM (Mass Spectrometry) as mentioned in the RAS Initiative antibody development data .
When facing contradictory results:
Evaluate the validation data for each antibody (KO controls, multiple applications)
Consider epitope differences (antibodies targeting different regions may give different results)
Assess experimental conditions (fixation methods, extraction buffers) that may affect epitope accessibility
Verify with orthogonal methods (mRNA expression, mass spectrometry)
Review lot-to-lot variation information from vendors
The antibody characterization crisis highlighted in the literature emphasizes that rigorous validation is essential for reliable results .
For advanced quantitative studies of CROT:
Immunoprecipitation followed by mass spectrometry (IP-MS)
Immuno-MRM (Multiple Reaction Monitoring) for quantitative analysis
Targeted proteomics using CROT-specific peptides
Reverse Phase Protein Arrays (RPPA) for high-throughput analysis
The RAS Initiative dataset describes similar approaches for studying signaling network proteins, which can be adapted for CROT analysis .
Common issues and solutions include:
| Issue | Possible Causes | Solutions |
|---|---|---|
| No signal | Low expression, epitope inaccessibility | Try different antibody, increase concentration, optimize extraction |
| Multiple bands | Cross-reactivity, degradation, splice variants | Use KO controls, optimize sample preparation, try different antibody |
| High background | Non-specific binding, antibody concentration too high | Optimize blocking, decrease antibody concentration, longer washes |
| Inconsistent results | Lot-to-lot variation (especially polyclonals) | Use recombinant antibodies, standardize protocols |
The YCharOS study found that vendors proactively removed ~20% of tested antibodies that failed expectations and modified proposed applications for ~40% after rigorous testing .
Sample preparation significantly impacts antibody performance:
For Western blotting:
Extraction buffers affecting protein solubility
Denaturation conditions affecting epitope exposure
Reducing vs. non-reducing conditions
For IHC/IF:
For IP applications:
Lysis conditions preserving protein-protein interactions
Buffer compatibility with antibody binding
Optimize based on the specific antibody's validated conditions, as detailed in product documentation.
To ensure reproducibility:
Document antibody details (catalog number, lot, dilution, incubation conditions)
Include all validation controls in each experiment
Standardize protocols across experiments
Consider using recombinant antibodies for highest consistency
Test new lots against previous lots before full implementation
Share detailed protocols in publications
The antibody characterization crisis has been estimated to result in financial losses of $0.4–1.8 billion per year in the United States alone due to reproducibility issues .
Proper storage and handling are essential:
Most manufacturers recommend: