Target: COX5B (cytochrome c oxidase subunit Vb), a 14 kDa protein encoded by the COX5B gene (NCBI Gene ID: 1329). This subunit is part of Complex IV in the mitochondrial electron transport chain, essential for ATP production .
Immunogen: Fusion protein derived from human COX5B (UniProt ID: P10606) .
Host/Isotype: Rabbit IgG .
| Application | Dilution Range | Validated Samples |
|---|---|---|
| Western Blot (WB) | 1:500 – 1:2000 | HeLa cells, mouse/rat liver tissue |
| IHC | 1:250 – 1:1000 | Human liver/breast cancer tissues |
| IF/ICC | 1:200 – 1:800 | HeLa cells |
| Property | Details |
|---|---|
| Tested Reactivity | Human, mouse, rat |
| Calculated MW | 14 kDa (129 amino acids) |
| Observed MW (WB) | 14 kDa |
| Storage | -20°C in PBS with 50% glycerol |
Colorectal Cancer (CRC): COX5B overexpression promotes tumor growth and reduces chemosensitivity by upregulating Claudin-2 (CLDN2). Silencing COX5B enhances drug susceptibility .
Hepatoma: COX5B regulates AMPK-UHMK1-ERK signaling, driving proliferation and migration. Knockdown induces senescence and elevates ROS/AMP levels .
COX5B inhibits MAVS-mediated antiviral responses by suppressing ROS and modulating autophagy. Knockdown enhances IFN-β production and viral defense .
IHC Utility: Detects COX5B in liver/breast cancer tissues, aiding prognosis .
Therapeutic Target: Linked to metabolic reprogramming in cancers and viral infection mechanisms .
COX5B (Cytochrome c oxidase subunit 5B) is a crucial component of the oxidative phosphorylation (OXPHOS) system, specifically of Complex IV (cytochrome c oxidase). This protein plays a vital role in maintaining physiological tissue and cell growth by supporting the main bioenergy pool in cells. COX5B has emerged as a potential biomarker associated with unfavorable prognosis in certain cancers, most notably colorectal cancer. Research has shown that COX5B can modulate cell growth patterns and alter sensitivity to anticancer drugs, making it an important target for both basic science and translational research . Additionally, COX5B has been implicated in regulating antiviral signaling pathways through interaction with MAVS (mitochondrial antiviral signaling protein) .
COX5B antibodies are primarily used in several methodological applications:
Western blot analysis to detect and quantify COX5B protein expression
Immunohistochemical staining (IHC) to visualize COX5B localization in tissue samples
Co-immunoprecipitation experiments to identify protein-protein interactions
Evaluation of OXPHOS complex assembly using blue native polyacrylamide gel electrophoresis (BN-PAGE)
Assessment of tumor vs. non-tumor expression ratios in cancer research
For Western blot applications, high specificity monoclonal antibodies such as rabbit anti-COX5B (e.g., abcam ab180136) have been used at 1:30000 dilution, while for IHC applications, the same antibody may be used at a lower dilution of 1:200 .
Optimizing Western blot protocols for COX5B detection requires:
Sample preparation: Carefully extract mitochondrial fractions to enrich COX5B content
Protein loading: Load 10-20 μg of total protein for adequate detection
Gel percentage: Use 12-15% SDS-PAGE gels for optimal resolution of this small protein
Transfer conditions: Perform wet transfer at 100V for 1 hour or 30V overnight
Blocking: Use 5% non-fat milk in TBST (Tris-buffered saline with 0.1% Tween-20)
Antibody dilution: Start with manufacturer's recommendation (e.g., 1:30000 for ab180136)
Incubation time: Primary antibody incubation overnight at 4°C for optimal binding
Detection method: Use HRP-conjugated secondary antibodies with ECL detection systems
Controls: Include positive controls (tissues/cells known to express COX5B) and loading controls (ACTB/β-actin)
Before analyzing experimental samples, perform antibody titration experiments to determine the optimal antibody concentration that provides the best signal-to-noise ratio for your specific experimental conditions.
COX5B antibodies serve as powerful tools for investigating mitochondrial dysfunction through multiple methodological approaches:
Respiratory chain complex assembly analysis: Use COX5B antibodies in BN-PAGE experiments to assess Complex IV assembly status, comparing band patterns between normal and diseased samples
Mitochondrial stress response: Analyze COX5B expression levels during various mitochondrial stressors (oxidative stress, hypoxia, etc.) to understand adaptive responses
Bioenergetic profiling: Couple COX5B immunoprecipitation with downstream bioenergetic analysis to correlate protein levels with functional outcomes
Subcellular localization studies: Utilize immunofluorescence with COX5B antibodies to track mitochondrial morphology and distribution in various pathological conditions
Protein-protein interaction networks: Implement proximity ligation assays with COX5B antibodies to identify novel interacting partners in different cellular contexts
When investigating mitochondrial dysfunction, researchers should combine COX5B antibody-based experiments with functional assays such as oxygen consumption rate (OCR) and extracellular acidification rate (ECAR) measurements to establish correlations between protein expression and bioenergetic parameters .
Resolving contradictory results in COX5B experiments requires systematic troubleshooting and methodological validation:
Antibody specificity verification: Validate antibody specificity using knockout/knockdown controls to ensure signals represent true COX5B detection rather than cross-reactivity
Method-specific discrepancies: Recognize that different techniques (SDS-PAGE vs. BN-PAGE vs. complexome profiling) may yield apparently contradictory results due to their inherent differences in detecting native vs. denatured proteins
Normalization strategy assessment: Carefully evaluate normalization approaches, as inconsistent results may stem from inappropriate reference selection - use multiple housekeeping controls and consider mitochondrial-specific references
Sample preparation variations: Standardize mitochondrial isolation protocols to minimize variability in COX5B detection across experiments
Quantification method consistency: Implement consistent quantification methods with appropriate statistical analysis to enable valid comparisons between experiments
When faced with contradictory findings between SDS-PAGE and BN-PAGE analyses, researchers should consider the possibility that native protein complexes may behave differently than individual denatured subunits, necessitating comprehensive examination through complementary approaches .
Designing effective siRNA experiments for COX5B knockdown requires careful consideration of several methodological factors:
| siRNA Design Considerations | Implementation Strategy |
|---|---|
| Target sequence selection | Design multiple siRNAs targeting different regions (ORF and UTR regions) of COX5B mRNA |
| Controls | Include non-targeting scramble siRNA and mock transfection controls |
| Validation approach | Confirm knockdown efficiency via both mRNA (RT-qPCR) and protein (Western blot) level assessments |
| Concentration optimization | Test multiple siRNA concentrations (10-50 nM) to identify minimum effective dose |
| Transfection protocol | Select appropriate transfection reagent based on cell type (e.g., lipofection for adherent cells) |
| Phenotype confirmation | Include rescue experiments by expressing siRNA-resistant COX5B constructs |
Previous studies have successfully implemented siRNA-mediated COX5B knockdown using multiple siRNA constructs (siCOX5B-1, siCOX5B-2 targeting the open reading frame, and siCOX5B-3 targeting an untranslated region) to ensure specificity and rule out off-target effects . For accurate interpretation of results, researchers should verify knockdown efficiency quantitatively and include functional validation such as ATP production measurements.
COX5B antibodies can be strategically employed to investigate cancer progression mechanisms through several methodological applications:
Prognostic biomarker validation: Utilize COX5B antibodies in tissue microarray analysis to correlate expression levels with patient survival data across large cohorts
Tumor microenvironment assessment: Apply immunofluorescence co-staining with COX5B and other markers to examine its expression in different cell populations within the tumor ecosystem
Therapy response prediction: Monitor COX5B expression before and after treatment to identify potential predictive biomarkers of treatment response
Metastatic potential correlation: Compare COX5B expression between primary tumors and metastatic lesions to evaluate its role in cancer progression
Metabolic reprogramming investigation: Combine COX5B immunoprecipitation with metabolomic analysis to understand how its expression influences cancer cell metabolism
Optimizing immunohistochemical detection of COX5B requires adherence to several methodological best practices:
Tissue processing: Use appropriate fixation (10% neutral buffered formalin for 24-48 hours) and paraffin embedding techniques
Antigen retrieval: Implement heat-induced epitope retrieval with citrate buffer (pH 6.0) or EDTA buffer (pH 9.0) to unmask antigenic sites
Blocking strategy: Apply dual blocking approach with hydrogen peroxide (to block endogenous peroxidases) followed by serum/protein blocking
Antibody selection and dilution: Use validated antibodies at optimized dilutions (e.g., rabbit monoclonal anti-COX5B at 1:200 dilution)
Signal amplification: Consider tyramide signal amplification for low-abundance detection
Counterstaining: Apply hematoxylin counterstain to provide cellular context
Controls: Include positive control tissues (e.g., normal colon), negative controls (primary antibody omission), and isotype controls
Quantification method: Utilize digital image analysis with software like ImageJ for unbiased quantification of staining intensity
The intensity of staining signals should be quantified objectively using digital image analysis software such as ImageJ to ensure reproducible and unbiased assessment of COX5B expression across different samples .
Investigating COX5B's role in antiviral signaling requires a multi-faceted experimental approach:
Protein-protein interaction studies: Use co-immunoprecipitation with COX5B antibodies to confirm physical interaction with MAVS and other components of antiviral signaling
Gene expression modulation: Implement both knockdown (siRNA) and overexpression approaches to assess COX5B's impact on antiviral response genes
Reporter assays: Utilize luciferase reporter constructs driven by IFN-β, NF-κB, and ISRE promoters to quantify the impact of COX5B manipulation on antiviral signaling activity
Virus infection models: Challenge cells with model viruses (e.g., Sendai virus, VSVΔM51) after COX5B manipulation to assess functional consequences
ROS measurement: Quantify mitochondrial ROS production using fluorescent probes in the context of COX5B modulation
Mitochondrial morphology assessment: Analyze mitochondrial dynamics and morphology changes during viral infection with and without COX5B perturbation
Research has demonstrated that COX5B negatively regulates MAVS-mediated antiviral signaling by suppressing ROS production and coordinating with the autophagy pathway. This was evidenced by enhanced activation of IFN-β, RANTES, and Viperin expression upon COX5B knockdown during viral infection .
Resolving contradictory results between different protein analysis techniques requires a systematic troubleshooting approach:
Technique-specific limitations assessment:
SDS-PAGE: Provides information about individual denatured proteins
BN-PAGE: Preserves native protein complexes but may have different solubilization efficiency
Complexome profiling: Offers comprehensive analysis but requires specialized equipment and expertise
Sample preparation standardization:
Use consistent cell lysis buffers and protocols across experiments
Standardize protein quantification methods
Process all comparative samples simultaneously
Cross-validation strategy:
Implement multiple detection methods for the same samples
Use complementary approaches (e.g., immunofluorescence to support Western blot findings)
Verify with recombinant protein standards when available
Quantification and normalization optimization:
Select appropriate loading controls that remain stable under experimental conditions
Use multiple reference proteins for normalization
Apply consistent image acquisition parameters
When facing contradictions like those observed between SDS-PAGE, BN-PAGE, and complexome profiling results , researchers should perform careful quantification of all signals, normalize to verified stable references, and conduct statistical analyses to determine the significance of observed differences.
Analyzing COX5B across different subcellular fractions requires meticulous attention to several methodological factors:
Fractionation protocol selection: Choose appropriate protocols based on experimental objectives:
Differential centrifugation for crude mitochondrial isolation
Density gradient centrifugation for higher purity
Commercial kits for standardized isolation
Fraction purity verification: Confirm fraction purity using markers for:
Mitochondria (VDAC, TOM20)
Cytosol (GAPDH, tubulin)
Nucleus (Lamin B, Histone H3)
ER (Calnexin, BiP)
Other organelles as relevant
Sample handling considerations:
Maintain consistent temperature throughout processing
Use protease inhibitors to prevent degradation
Process samples quickly to preserve mitochondrial integrity
Loading controls selection:
Use organelle-specific loading controls for each fraction
Consider total protein staining methods (Ponceau S, SYPRO Ruby)
Avoid cross-contamination assessment by probing for markers of other compartments
Quantification approach:
Normalize COX5B signal to mitochondrial markers rather than total cellular proteins
Account for differences in extraction efficiency between samples
COX5B is primarily localized to mitochondria as a component of Complex IV, but proper fractionation protocols are essential to accurately assess its potential distribution in other cellular compartments under various experimental conditions.
Differentiating between direct and indirect effects in COX5B knockdown experiments requires implementing several methodological approaches:
Temporal analysis: Monitor phenotypic changes at multiple time points following COX5B knockdown to establish the sequence of events
Rescue experiments: Perform complementation studies with:
Wild-type COX5B expression
Mutant variants with specific functional domains disrupted
Timing-controlled re-expression systems
Pathway inhibition studies: Use specific inhibitors of downstream pathways to determine which phenotypes persist independent of these pathways
Combinatorial knockdown approach: Perform simultaneous knockdown of COX5B and potential mediators to identify epistatic relationships
Metabolite supplementation: Supply metabolic intermediates potentially affected by COX5B dysfunction to assess rescue capabilities
Multi-omics integration: Combine proteomics, transcriptomics, and metabolomics analyses to build comprehensive pathway models
A practical example comes from research showing that COX5B knockdown enhanced virus-induced IFN-β promoter activation, but this effect was lost in MAVS knockdown cells, establishing MAVS as an essential mediator of COX5B's effect on antiviral signaling . Similarly, identifying Claudin-2 (CLDN2) as a downstream effector of COX5B in colorectal cancer cell growth regulation required systematic validation through RNA sequencing followed by RT-qPCR and functional compensation experiments .
Confirming COX5B antibody specificity requires implementation of multiple validation strategies:
| Validation Approach | Methodology | Significance |
|---|---|---|
| Genetic controls | Test antibody in COX5B knockout/knockdown models | Gold standard for specificity confirmation |
| Peptide competition | Pre-incubate antibody with immunizing peptide | Confirms epitope-specific binding |
| Multiple antibody comparison | Use antibodies targeting different epitopes | Verifies consistent detection pattern |
| Recombinant protein controls | Test against purified recombinant COX5B | Establishes detection sensitivity/linearity |
| Mass spectrometry validation | Confirm identity of immunoprecipitated bands | Provides unbiased protein identification |
| Cross-species reactivity | Test across evolutionarily conserved species | Supports epitope conservation assessment |
For research applications using siRNAs targeting COX5B, antibody validation should include testing in cells treated with different siRNA constructs (e.g., siCOX5B-1, siCOX5B-2, siCOX5B-3) to verify consistent protein reduction across multiple knockdown approaches .
Integrating COX5B expression data with functional bioenergetic measurements requires a multi-parametric analytical approach:
Simultaneous analysis protocol:
Divide identical cell populations for both protein analysis and functional assays
Perform protein extraction and bioenergetic measurements under identical conditions
Process all experimental groups in parallel
Correlation analysis framework:
Plot COX5B expression levels against functional parameters
Calculate Pearson or Spearman correlation coefficients
Perform regression analysis to establish quantitative relationships
Causality determination experiments:
Implement dose-dependent expression systems
Create calibration curves relating expression to function
Perform time-course analyses to establish temporal relationships
Integrated data visualization:
Generate heat maps combining expression and functional data
Develop multi-parameter plots to visualize relationships
Create predictive models based on integrated datasets
Research has demonstrated significant relationships between COX5B tumor/non-tumor expression ratios and bioenergetic parameters, particularly oxygen consumption rate (OCR) and extracellular acidification rate (ECAR). Higher COX5B T/N ratios correlated with higher OCR T/N ratios (p = 0.027), suggesting a functional relationship between COX5B expression and mitochondrial respiratory capacity .
Several emerging technologies are advancing COX5B research beyond traditional antibody applications:
CRISPR-based approaches:
CRISPR knockout/knockin models for precise genetic manipulation
CRISPRi/CRISPRa for reversible gene expression modulation
CRISPR base editing for introducing specific mutations
Proximity labeling techniques:
BioID or APEX2 fusion proteins to identify proximal interactors
Spatially-resolved interactome mapping in different cellular compartments
Time-resolved proximity labeling to capture dynamic interactions
Live-cell imaging innovations:
Fluorescent protein tagging of endogenous COX5B
FRET/BRET approaches to monitor protein-protein interactions
Super-resolution microscopy for detailed mitochondrial visualization
Single-cell technologies:
Single-cell proteomics to assess COX5B expression heterogeneity
Spatial transcriptomics to map expression patterns in tissues
Integrated multi-omics at single-cell resolution
Structural biology approaches:
Cryo-EM analysis of COX5B within Complex IV
Integrative structural biology combining multiple techniques
Computational modeling of COX5B interactions
These emerging technologies complement traditional antibody-based approaches by providing higher resolution, real-time dynamics, and systems-level understanding of COX5B function in normal physiology and disease states.