LYRM5 antibody specifically targets the LYR motif-containing protein 5, also known as ETFRF1 (Electron transfer flavoprotein regulatory factor 1). This protein functions as a regulator of the electron transfer flavoprotein by promoting flavin removal from the ETF holoenzyme (composed of ETFA and ETFB) . The antibody is typically available as a rabbit polyclonal antibody that recognizes human LYRM5/ETFRF1 protein . Understanding this target is essential for designing appropriate experimental controls and interpreting results in functional studies of mitochondrial electron transport chains.
Based on current validation data, LYRM5 antibody is suitable for multiple research applications including:
Western blotting (WB) - demonstrated effective at 1/100 dilution
Immunohistochemistry on paraffin-embedded tissues (IHC-P) - effective at 1/50 dilution with heat-mediated antigen retrieval using citrate buffer (pH 6)
Immunocytochemistry/Immunofluorescence (ICC/IF) - validated at 2 μg/ml concentration
For optimal results, researchers should perform antibody titration experiments for their specific sample types and experimental conditions, as antibody performance can vary across different cellular contexts and fixation methods.
The predicted band size for LYRM5 protein in Western blot applications is approximately 11 kDa . Researchers should anticipate this molecular weight when interpreting their Western blot results. Variations in observed molecular weight may occur due to post-translational modifications, alternative splicing, or sample preparation conditions. When overexpressing LYRM5 with additional tags (such as myc-DDK), the apparent molecular weight will increase accordingly by the size of the tag (~3.1 kDa for myc-DDK tag) .
Designing appropriate controls is crucial for antibody-based experiments:
Negative controls:
Positive controls:
LYRM5 overexpression systems (such as the HEK-293T overexpression system shown in validation data)
Tissues with known LYRM5 expression (such as human stomach tissue, where LYRM5 has been detected in the cytoplasm of glandular cells)
RH-30 cells (human bone marrow metastasis cell line) which demonstrate LYRM5 localization to the microtubule organizing center
Validation approaches:
Antibody specificity can be further validated using siRNA knockdown or CRISPR-Cas9 knockout of LYRM5
Peptide competition assays using the immunizing peptide
Optimal sample preparation varies by application:
For Western blotting:
For IHC-P:
For ICC/IF:
Antibody titration is essential for optimal signal-to-noise ratio:
Serial dilution approach:
Sample-specific considerations:
Expression levels vary between tissues and cell types
Different fixation methods may affect epitope accessibility
Primary tissue samples may require different dilutions than cell lines
Application-specific optimization:
LYRM5 functions as a regulator of electron transfer flavoprotein by promoting flavin removal from the ETF holoenzyme . Researchers can leverage LYRM5 antibody to:
Co-immunoprecipitation studies:
Pull down LYRM5 to identify interacting proteins within the electron transfer pathway
Confirm interactions with ETFA and ETFB components
Discover novel binding partners in different cellular contexts
Subcellular localization studies:
Use ICC/IF to examine LYRM5 co-localization with mitochondrial markers
Investigate changes in localization under different metabolic conditions
Analyze localization in disease models with mitochondrial dysfunction
Functional analyses:
Combine with metabolic flux assays to correlate LYRM5 expression with electron transfer efficiency
Examine LYRM5 expression changes during cellular stress responses
Investigate post-translational modifications of LYRM5 that might regulate its activity
Antibody validation is critical for research integrity:
Genetic validation:
Analytical validation:
Mass spectrometry confirmation of immunoprecipitated proteins
Peptide competition assays using the immunizing peptide
Comparing results using multiple antibodies targeting different epitopes of LYRM5
Orthogonal validation:
Correlate protein expression (antibody-based) with mRNA expression (qPCR)
Compare subcellular localization across multiple detection methods
Verify functional consequences of LYRM5 perturbation with biochemical assays
For large-scale studies, LYRM5 antibody can be implemented in:
Tissue microarray (TMA) analysis:
Optimize IHC-P protocols for high-throughput screening
Develop standardized scoring systems for LYRM5 expression levels
Analyze expression patterns across multiple tissue types or disease states
Automated microscopy platforms:
Adapt ICC/IF protocols for robotic liquid handling systems
Develop image analysis algorithms for quantifying LYRM5 expression and localization
Implement multi-parameter analysis correlating LYRM5 with other markers
Flow cytometry applications:
Optimize antibody conjugation with fluorophores for flow cytometry
Develop intracellular staining protocols for LYRM5 detection
Combine with mitochondrial function markers for multiparameter analysis
Researchers commonly encounter these challenges:
Weak or absent signal:
Multiple bands or non-specific binding:
Increase blocking time or blocking agent concentration
Optimize washing steps (increase number or duration)
Reduce antibody concentration
Try alternative blocking agents (milk vs. BSA)
Confirm sample integrity (avoid protein degradation)
Unexpected band size:
Consider post-translational modifications altering molecular weight
Verify running conditions of SDS-PAGE
Check for alternative splice variants of LYRM5
Confirm specificity with knockout/knockdown controls
LYRM5 has been observed in specific subcellular locations:
Expected localization patterns:
Interpretation guidelines:
Always compare with appropriate organelle markers
Consider co-localization analysis with mitochondrial markers
Quantify localization patterns across multiple cells and experiments
Assess changes in localization under different cellular conditions
Validation approaches:
Confirm localization with fractionation studies and Western blotting
Use super-resolution microscopy for detailed localization analysis
Compare localization patterns using antibodies targeting different epitopes
Quantitative analysis requires standardized approaches:
Intensity scoring methods:
Develop a scoring system (e.g., 0-3+) for staining intensity
Calculate H-scores (intensity × percentage of positive cells)
Use digital image analysis software for objective quantification
Implement machine learning algorithms for pattern recognition
Normalization approaches:
Normalize to appropriate housekeeping proteins
Include reference standards on each slide/plate
Analyze multiple fields per sample for representative quantification
Compare relative expression across experimental conditions
Statistical considerations:
Determine appropriate sample sizes for statistical power
Apply suitable statistical tests based on data distribution
Account for batch effects in multi-experiment analyses
Consider blinded scoring to eliminate observer bias
Integrating LYRM5 antibody with cutting-edge imaging approaches:
Super-resolution microscopy:
Adapt ICC/IF protocols for techniques like STORM, PALM, or STED
Investigate nanoscale distribution of LYRM5 within mitochondria
Examine co-localization with ETFA and ETFB at nanometer resolution
Live-cell imaging applications:
Develop cell-permeable antibody fragments or nanobodies
Combine with genetically encoded tags for correlative microscopy
Monitor dynamic changes in LYRM5 localization during metabolic shifts
Volumetric imaging approaches:
Implement LYRM5 antibody in tissue clearing techniques
Develop whole-organ imaging protocols to map LYRM5 distribution
Combine with multiplex antibody labeling for comprehensive protein interaction mapping
Recent advances in B cell biology suggest potential applications:
Antibody engineering applications:
Therapeutic antibody development considerations:
Integration with CRISPR technologies:
For researchers developing modified LYRM5 antibodies:
Conjugation strategies:
Format optimization:
Developability assessment:
Screen for sequences with liability issues (deamidation hotspots, unpaired cysteines)
Optimize for favorable physicochemical properties (solubility, stability)
Balance affinity improvement with other desirable properties
Apply computational prediction tools to identify potential issues before development