OR10C1 is a human olfactory receptor encoded by the OR10C1 gene (Entrez Gene ID: 442194) located on chromosome 6 . It belongs to the largest GPCR family, featuring a 7-transmembrane domain structure that facilitates odorant signal transduction . The antibody targeting OR10C1 enables researchers to investigate its expression, localization, and function in olfactory pathways.
OR10C1 antibodies are validated for:
For blocking experiments, a recombinant protein fragment (aa 170–196) is recommended at a 100x molar excess relative to the antibody .
Functional Studies: OR10C1 antibodies help map receptor distribution in olfactory tissues and assess ligand-binding interactions .
Disease Associations: While direct links are under investigation, olfactory receptors like OR10C1 are studied for roles in neurodegenerative and metabolic disorders .
Evolutionary Conservation: High sequence identity (89%) with rodent orthologs supports cross-species comparative studies .
OR10C1 (Olfactory receptor family 10 subfamily C member 1) is a G-protein-coupled receptor (GPCR) that belongs to the large family of olfactory receptors. These receptors interact with odorant molecules in the nose to initiate neuronal responses that trigger the perception of smell. OR10C1 has a characteristic 7-transmembrane domain structure common to many neurotransmitter and hormone receptors. The olfactory receptor gene family is the largest in the genome, making these proteins important subjects for studying GPCR functionality, signal transduction, and sensory perception mechanisms . The protein has several alternative names including hs6M1-17, OR10C1P, and OR10C2 .
Based on validated antibody data, OR10C1 antibodies have been successfully employed in multiple experimental applications, primarily:
| Application | Number of Validated Antibodies | Commonly Used Antibody Types |
|---|---|---|
| Western Blot (WB) | 5/5 top validated | Both polyclonal and monoclonal |
| ELISA (EL) | 3/5 top validated | Primarily polyclonal |
| Immunocytochemistry (ICC) | 3/5 top validated | Both types, with polyclonal predominant |
| Immunohistochemistry (IHC) | 1/5 top validated | Polyclonal |
The most consistently validated application across providers is Western Blot, suggesting this may be the most reliable technique for OR10C1 detection .
When selecting an OR10C1 antibody, consider these key criteria:
Experimental application: Choose antibodies specifically validated for your intended application (WB, ICC, IHC, or ELISA). For instance, if performing Western blot analysis, consider antibodies like Invitrogen PA5-102114 or GeneTex GTX87088 which are specifically validated for this technique .
Antibody type: Polyclonal antibodies like Affinity Biosciences DF5006 provide higher sensitivity through multiple epitope recognition, while monoclonal antibodies offer higher specificity for single epitopes.
Species reactivity: Verify that the antibody recognizes OR10C1 in your experimental species. Most validated OR10C1 antibodies are optimized for human samples .
Validation data: Prioritize antibodies with published validation data showing specificity for OR10C1. Leading validated antibodies include those from Affinity Biosciences, antibodies-online, LSBio, Invitrogen, and GeneTex .
Epitope information: When available, select antibodies targeting specific regions of interest on the OR10C1 protein. For instance, some antibodies like the Invitrogen PA5-102114 target a specific peptide derived from human OR10C1 corresponding to amino acid residues H243-N293 .
When performing Western blot for OR10C1 detection, follow these methodological guidelines:
Sample preparation:
For tissue samples: Homogenize in RIPA buffer with protease inhibitors
For cell samples: Lyse directly in sample buffer with reducing agent
Gel percentage recommendation:
Use 10-12% SDS-PAGE gels as OR10C1 is approximately 35-40 kDa
Antibody dilutions:
Blocking conditions:
5% non-fat dry milk in TBST (Tris-buffered saline with 0.1% Tween-20) for 1 hour at room temperature
Alternative: 3% BSA in TBST when using phospho-specific antibodies
Detection strategy:
Enhanced chemiluminescence (ECL) for standard detection
Longer exposure times (1-5 minutes) may be necessary for detecting lower expression levels
Expected molecular weight:
Confirm bands at approximately 35-40 kDa for OR10C1
Be aware of potential post-translational modifications that may alter migration
Comprehensive validation of OR10C1 antibody specificity requires multiple complementary approaches:
Positive and negative control samples:
Positive controls: Tissues known to express OR10C1 (olfactory epithelium)
Negative controls: Tissues with minimal OR10C1 expression or OR10C1 knockout models
Peptide competition assay:
Pre-incubate the OR10C1 antibody with excess synthesized peptide derived from the human OR10C1 protein (such as the H243-N293 peptide region used for Invitrogen antibody generation)
Run parallel assays with blocked and unblocked antibody
Specific binding should be significantly reduced in the peptide-blocked sample
Recombinant protein expression:
Overexpress tagged OR10C1 protein in a cell line with low endogenous expression
Confirm antibody detection of both endogenous and overexpressed protein
Verify molecular weight shifts with fusion tags
siRNA/shRNA knockdown:
Transiently reduce OR10C1 expression in expressing cell lines
Western blot or immunostaining signal should decrease proportionally
Multi-antibody concordance:
Mass spectrometry validation:
Immunoprecipitate OR10C1 using the antibody
Confirm protein identity via mass spectrometry
Detecting OR10C1 in tissue samples presents several challenges with specific solutions:
Low expression levels:
Challenge: OR10C1, like many olfactory receptors, has restricted expression patterns
Solution: Use signal amplification techniques such as tyramide signal amplification (TSA) to enhance detection sensitivity
Solution: Consider RNAscope to correlate protein detection with mRNA expression
Specificity concerns:
Challenge: Cross-reactivity with other olfactory receptor family members due to sequence homology
Solution: Perform appropriate controls using tissues from OR10C1 knockout models
Solution: Use antibodies validated against peptide sequences unique to OR10C1
Tissue preparation issues:
Challenge: Epitope masking during fixation, particularly problematic for membrane proteins
Solution: Test multiple fixation protocols (4% PFA, methanol, acetone) to identify optimal conditions
Solution: Include antigen retrieval steps (citrate buffer pH 6.0 or EDTA buffer pH 8.0)
Background staining:
Challenge: Non-specific binding in olfactory tissues
Solution: Increase blocking time (overnight at 4°C) with 3-5% normal serum
Solution: Add 0.1-0.3% Triton X-100 for better antibody penetration
Antibody optimization:
Challenge: Determining optimal antibody concentration
Solution: Perform titration experiments with dilution series (1:100 to 1:2000)
Solution: Extend primary antibody incubation to 48-72 hours at 4°C for tissues
Signal verification:
Challenge: Confirming true positive signal
Solution: Use fluorescent co-localization with olfactory neuron markers
Solution: Compare with in situ hybridization data for OR10C1 mRNA
Effective co-localization studies with OR10C1 antibodies require careful experimental design:
Selection of compatible antibodies:
Marker selection strategy:
Membrane markers: Pair with other GPCR antibodies or membrane markers to confirm surface localization
Cellular compartment markers: Use antibodies against ER (calnexin), Golgi (GM130), or early endosomes (EEA1) to track processing and trafficking
Cell-type markers: Combine with olfactory neuron markers like OMP (Olfactory Marker Protein) or Golf (olfactory G protein)
Sequential immunostaining protocol:
Block with 5% normal serum + 0.3% Triton X-100 for 2 hours
Incubate with first primary antibody overnight at 4°C
Wash extensively (5 × 10 minutes)
Apply first secondary antibody (2 hours, room temperature)
Wash extensively (5 × 10 minutes)
Block again for 1 hour
Apply second primary antibody overnight at 4°C
Wash and apply second secondary antibody
Include appropriate controls for each antibody separately
Advanced imaging considerations:
Use confocal microscopy with sequential scanning to prevent bleed-through
Apply deconvolution algorithms to improve signal resolution
Implement Pearson's correlation coefficient or Mander's overlap coefficient to quantify co-localization
Technical controls:
Single antibody controls to establish baseline signals
Secondary-only controls to identify non-specific binding
Signal intensity normalization between channels
Investigating post-translational modifications (PTMs) of OR10C1 requires specialized approaches:
Glycosylation analysis:
Run parallel Western blots treating samples with PNGase F to remove N-linked glycans
Compare migration patterns before and after treatment
Use lectins alongside OR10C1 antibodies to confirm glycosylation sites
Phosphorylation detection:
Enrich phosphorylated proteins using phosphoprotein enrichment columns
Treat lysates with phosphatase inhibitors during extraction
Consider generating phospho-specific OR10C1 antibodies for key regulatory sites
Use Phos-tag™ SDS-PAGE to separate phosphorylated from non-phosphorylated forms
Ubiquitination assessment:
Immunoprecipitate OR10C1 using validated antibodies
Probe with anti-ubiquitin antibodies on Western blots
Include proteasome inhibitors (MG132) in treatment conditions to stabilize ubiquitinated forms
Palmitoylation investigation:
Employ click chemistry approaches with alkyne-modified palmitic acid
Use hydroxylamine treatment to cleave thioester bonds of palmitoylated proteins
Compare migration patterns before and after treatment
Mass spectrometry-based PTM mapping:
Immunoprecipitate OR10C1 using validated antibodies
Digest with multiple proteases to ensure complete sequence coverage
Analyze by LC-MS/MS with neutral loss scanning for phosphorylation
Search MS data against databases of known PTM patterns
Mutational analysis validation:
Generate site-directed mutants of predicted PTM sites
Express in heterologous systems alongside wild-type OR10C1
Compare antibody detection, localization, and function
When facing discrepancies between different detection methods, consider these analytical approaches:
False positives in OR10C1 detection can arise from multiple sources:
Cross-reactivity with other olfactory receptors:
Issue: The human genome contains approximately 400 functional olfactory receptor genes with sequence similarity
Identification: Compare observed molecular weight with predicted OR10C1 size
Verification: Use peptide competition assays with OR10C1-specific peptides
Control: Include samples from tissues not expressing OR10C1
Non-specific binding in Western blots:
Issue: Bands appearing at unexpected molecular weights
Identification: Compare with positive control sample band patterns
Verification: Increase blocking stringency (5% milk to 5% BSA)
Control: Include secondary-only controls to identify non-antibody specific bands
Background in immunostaining:
Issue: Diffuse signal not correlating with expected cellular distribution
Identification: Compare with negative control tissues and secondary-only controls
Verification: Increase washing steps (5 × 10 minutes) with 0.1% Tween-20
Control: Pre-absorb secondary antibodies with tissue powder
Autofluorescence interference:
Issue: Endogenous fluorescence misinterpreted as antibody signal
Identification: Examine unstained samples for natural fluorescence
Verification: Image using multiple channels to identify spectrum of autofluorescence
Control: Use Sudan Black B (0.1%) treatment to quench autofluorescence
Overinterpretation of low-level signals:
Issue: Weak signals amplified during image processing
Identification: Compare signal-to-noise ratios across samples
Verification: Quantify signal intensity relative to background
Control: Establish detection thresholds based on negative controls
Accurate quantification of OR10C1 requires rigorous methodology:
Western blot quantification protocol:
Load concentration gradient of recombinant OR10C1 to establish standard curve
Include housekeeping protein controls (β-actin, GAPDH) for normalization
Capture images within linear dynamic range of detection system
Use densitometry software with background subtraction
Report results as relative expression normalized to controls
Immunofluorescence quantification approach:
Capture images with identical exposure settings across all samples
Define regions of interest (ROIs) consistently across samples
Measure mean fluorescence intensity minus background
Normalize to cell number or area
Analyze ≥100 cells per condition for statistical validity
ELISA-based absolute quantification:
Develop sandwich ELISA using two antibodies targeting different OR10C1 epitopes
Generate standard curve using recombinant OR10C1 protein
Process samples in technical triplicates
Include spike-in controls to assess matrix effects
Report concentrations in ng/ml or pmol/L
Flow cytometry quantification:
Use antibodies validated for flow cytometry applications
Establish negative population gates using isotype controls
Report data as percent positive and mean fluorescence intensity
Use standardized beads to convert arbitrary units to molecules of equivalent soluble fluorochrome (MESF)
Statistical analysis requirements:
Perform minimum of three biological replicates
Apply appropriate statistical tests based on data distribution
Report both effect size and p-values
Conduct power analysis to ensure adequate sample size
Investigating OR10C1 trafficking dynamics requires specialized methodologies:
Surface biotinylation assay protocol:
Culture cells expressing OR10C1
Label surface proteins with cell-impermeable NHS-SS-biotin
Allow internalization for various time points
Strip remaining surface biotin with membrane-impermeable reducing agent
Lyse cells and pull down internalized biotinylated proteins
Detect OR10C1 with validated antibodies like Invitrogen PA5-102114
Quantify internalization rate relative to total surface labeling
Antibody feeding assay optimization:
Generate OR10C1 construct with extracellular epitope tag (FLAG, HA)
Apply anti-tag antibody to live cells at 4°C to label surface receptors
Warm cells to 37°C to permit internalization
Detect internalized antibody-receptor complexes after acid wash
Co-stain with endosomal markers to track intracellular trafficking
Live-cell imaging approach:
Create OR10C1-fluorescent protein fusion constructs
Validate fusion protein function and localization
Perform time-lapse confocal microscopy
Calculate diffusion coefficients and mobile fraction
Correlate with fixed-cell antibody staining for validation
Endocytic pathway co-localization:
Use pulsed agonist stimulation to trigger receptor internalization
Fix cells at various time points post-stimulation
Co-stain with markers for early endosomes (EEA1), recycling endosomes (Rab11), and lysosomes (LAMP1)
Quantify co-localization coefficients at each time point
Create kinetic profile of receptor trafficking through compartments
Recycling rate quantification:
Apply cleavable biotin to surface proteins
Allow internalization, then cleave remaining surface biotin
Allow recycling at 37°C for various time points
Re-apply membrane-impermeable biotin-cleaving reagent
Quantify protected (internal) versus cleaved (recycled) fractions
Resolving conflicting reports about OR10C1 expression requires multifaceted approaches:
Multi-antibody consensus mapping:
Compare staining patterns across multiple validated OR10C1 antibodies
Test each antibody under identical conditions across tissue panel
Prioritize signals detected by multiple independent antibodies
Document discrepancies systematically
Correlative expression analysis:
Perform parallel analysis of:
Protein detection (immunohistochemistry)
mRNA detection (in situ hybridization)
Transcript quantification (qPCR)
Map concordance and discrepancies between detection methods
Weight evidence based on method sensitivity and specificity
Single-cell resolution techniques:
Apply single-cell RNA sequencing to identify cell populations expressing OR10C1
Use flow cytometry with validated OR10C1 antibodies to isolate expressing cells
Perform dual RNA/protein detection via RNAscope combined with immunofluorescence
Correlate expression with cell-type specific markers
Genetic validation approaches:
Generate reporter knockin models (OR10C1 promoter driving fluorescent protein)
Use CRISPR-Cas9 to tag endogenous OR10C1 locus
Compare reporter expression with antibody detection patterns
Document developmental and stimulus-dependent expression changes
Technical standardization:
Develop standard operating procedures for tissue collection and processing
Implement positive and negative control tissues in every experiment
Use calibrated image acquisition settings across laboratories
Establish quantitative thresholds for calling positive expression
Meta-analysis framework:
Systematically compile expression data from published literature
Weight studies by methodology robustness
Identify patterns in discrepancies (fixation-sensitive epitopes, primer specificity issues)
Generate consensus maps with confidence scores for each tissue/cell type
Developing multiplexed assays with OR10C1 antibodies requires systematic optimization:
Antibody panel compatibility assessment:
Test for cross-reactivity between antibodies in the panel
Verify epitope accessibility in multiplexed conditions
Optimize antibody concentrations individually and in combination
Select antibodies raised in different host species when possible
Platform selection considerations:
Microarray-based: Spot OR10C1 antibodies alongside other targets
Bead-based: Conjugate antibodies to distinctly coded microspheres
Imaging-based: Use spectrally distinct fluorophores for each antibody
Mass cytometry: Label antibodies with distinct metal isotopes for CyTOF analysis
High-content imaging protocol:
Culture cells in 96- or 384-well format
Apply test compounds or genetic perturbations
Stain with OR10C1 antibody alongside markers for:
Cell viability (nuclear dyes)
Cellular compartments (organelle markers)
Activation states (phospho-specific antibodies)
Acquire images via automated microscopy
Apply machine learning algorithms for phenotypic classification
Bead-based multiplex assay development:
Conjugate OR10C1 capture antibody to coded microspheres
Develop sandwich assay with biotinylated detection antibody
Include calibration beads for absolute quantification
Validate against single-plex ELISA results
Assess cross-reactivity within multiplex environment
Validation requirements:
Determine assay dynamic range, sensitivity, and precision
Assess impact of multiplexing on individual antibody performance
Evaluate matrix effects using spike-recovery experiments
Establish inter- and intra-assay coefficients of variation
Compare results with orthogonal single-target methods
Cross-species OR10C1 studies require careful consideration of evolutionary conservation:
Epitope conservation analysis:
Align OR10C1 protein sequences across target species
Identify conserved and divergent epitope regions
Prioritize antibodies targeting conserved regions for cross-species studies
Consider the specific epitope targeted by antibodies like Invitrogen PA5-102114 (H243-N293 region) and assess its conservation
Validation hierarchy for cross-species applications:
Verify antibody reactivity against recombinant OR10C1 from each species
Conduct Western blots on tissue lysates from each species
Perform peptide competition assays using species-specific peptides
Compare staining patterns with mRNA expression data for each species
Species-specific protocol modifications:
Adjust tissue fixation based on species-specific requirements:
Rodent tissues: 4% PFA, 4-24 hours
Primate tissues: 10% neutral buffered formalin, 24-48 hours
Optimize antigen retrieval for each species
Adjust antibody concentrations based on signal intensity
Comparative expression mapping approach:
Create standardized tissue panels across species
Process and stain tissues in parallel
Quantify expression levels using identical imaging parameters
Normalize to housekeeping proteins conserved across species
Generate comparative expression heat maps
Functional correlation strategies:
Pair antibody detection with functional assays (calcium imaging, cAMP measurements)
Compare OR10C1 localization with odorant response profiles
Correlate expression patterns with behavioral or physiological responses
Document species-specific post-translational modifications
OR10C1 antibodies offer valuable tools for investigating fundamental questions in olfactory receptor biology:
Receptor life cycle tracking:
Map OR10C1 biosynthesis through secretory pathway using pulse-chase experiments
Determine half-life and degradation pathways using validated antibodies
Identify quality control checkpoints using co-localization with ER/Golgi markers
Correlate trafficking efficiency with functional responses
Molecular chaperone identification:
Perform immunoprecipitation with OR10C1 antibodies
Identify interacting proteins via mass spectrometry
Validate interactions through reverse co-immunoprecipitation
Determine functional significance through chaperone knockdown/overexpression
Cilia targeting mechanisms:
Compare ciliary versus intracellular pools of OR10C1
Identify ciliary targeting sequences through mutational analysis
Track real-time movement using antibody-based pulse-chase approaches
Correlate trafficking efficiency with odorant sensitivity
Activity-dependent regulation:
Monitor OR10C1 localization before and after odorant exposure
Quantify surface expression changes following repeated stimulation
Distinguish recycling from de novo synthesis pathways
Correlate trafficking changes with sensitization/adaptation responses
Interplay with other olfactory signaling components:
Investigate co-trafficking with G proteins and effector enzymes
Determine if OR10C1 forms oligomeric complexes
Assess impact of accessory proteins on trafficking efficiency
Compare trafficking mechanisms across different olfactory receptor subtypes
Advancing OR10C1 antibody technology requires innovative approaches:
Epitope-focused antibody development:
Generate antibodies against unique OR10C1 regions with minimal homology to other ORs
Create peptide libraries spanning unique regions of OR10C1
Screen against OR10C1 and closely related receptors to identify discriminating epitopes
Implement negative selection strategies during antibody development
Conformation-specific antibody generation:
Develop antibodies recognizing active versus inactive OR10C1 conformations
Stabilize specific receptor conformations using nanobodies or conformation-selective ligands
Screen for antibodies that preferentially bind specific functional states
Validate using mutagenesis of conformational switches
Recombinant antibody engineering:
Create phage-display libraries for selecting high-affinity OR10C1-specific binders
Engineer single-chain variable fragments (scFvs) for improved tissue penetration
Generate bispecific antibodies targeting OR10C1 and cell-type markers
Design intrabodies for tracking intracellular OR10C1 populations
Native-conformation immunization strategies:
Immunize with cells expressing OR10C1 to preserve native membrane orientation
Use proteoliposomes containing purified OR10C1
Develop DNA immunization protocols expressing OR10C1 in vivo
Select antibodies through cell-based screening to ensure native recognition
Cross-validation frameworks:
Implement systematic cross-validation between antibody-based and genetic approaches
Develop standard reference materials for antibody validation
Establish open-access databases of validated staining patterns
Create community standards for OR10C1 antibody validation reporting
OR10C1 antibodies enable exploration of non-canonical expression and function:
Systematic tissue screening approach:
Single-cell resolution methodology:
Combine OR10C1 antibody staining with single-cell RNA sequencing
Identify rare cell populations expressing OR10C1
Correlate expression with cell lineage markers
Track expression changes during development and disease progression
Functional investigation protocol:
Isolate OR10C1-expressing cells from non-olfactory tissues using antibody-based sorting
Characterize signaling pathways using phospho-specific antibodies
Perform calcium imaging to assess ligand responses
Compare functional properties between canonical and ectopic expression sites
Disease-association studies:
Screen tissue samples from various pathological conditions
Quantify OR10C1 expression changes relative to healthy controls
Correlate expression with disease progression markers
Investigate potential as diagnostic or prognostic biomarker
Developmental regulation mapping:
Track OR10C1 expression across embryonic and postnatal development
Identify developmental windows of expression in non-olfactory tissues
Correlate with tissue differentiation markers
Investigate potential roles in tissue patterning and development