C22orf39 Antibody, HRP conjugated

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Description

Introduction to C22orf39 and HRP-Conjugated Antibodies

C22orf39 (Chromosome 22 Open Reading Frame 39), also known as UPF0545, is a protein-coding gene associated with synaptic plasticity and neural regulation . HRP (Horseradish Peroxidase)-conjugated C22orf39 antibodies are immunoassay tools designed for detecting this protein in research applications. These antibodies combine the specificity of anti-C22orf39 immunoglobulins with the enzymatic activity of HRP, enabling sensitive detection via colorimetric or chemiluminescent assays .

Production Methods

HRP-conjugated antibodies are typically produced through chemical crosslinking or recombinant engineering:

MethodDescriptionAdvantagesLimitations
Chemical ConjugationHRP is covalently linked to the antibody using heterobifunctional crosslinkers (e.g., maleimide-thiol)High yield, simple protocolPotential loss of antibody/HRP activity
Recombinant EngineeringHRP is genetically fused to antibody fragments (e.g., Fab or scFv) in organisms like Pichia pastoris Homogeneous stoichiometry, reduced aggregationComplex cloning, glycosylation variability

For C22orf39 antibodies, chemical conjugation is predominantly reported, with rabbit polyclonal antibodies purified via Protein G affinity chromatography . Recombinant approaches, though demonstrated for other antigens (e.g., atrazine antibodies) , are not explicitly documented for C22orf39.

Recombinant Conjugate Performance (General Insights)

While C22orf39 HRP-conjugated antibodies are chemically linked, studies on recombinant HRP-antibody conjugates (e.g., HRP-Fab) highlight critical performance metrics:

  • Enzymatic Activity: HRP retains activity with TMB substrate, but ABTS binding may be sterically hindered due to glycosylation or antibody proximity .

  • Antigen-Binding Affinity: Recombinant conjugates show IC₅₀ values comparable to monoclonal antibodies (e.g., ~3 ng/mL for atrazine) .

  • Yield: Secreted recombinant conjugates in P. pastoris yield ~3–10 mg/L, limited by glycosylation .

C22orf39-Specific Data

  • Validation: The rabbit polyclonal PA5-68487 has been cited in Western blotting for C22orf39 detection .

  • Cross-Reactivity: No reported cross-reactivity with non-human species .

  • Sensitivity: ELISA linear ranges vary; recombinant conjugates enable detection across 0.1–50 ng/mL for similar targets .

Product Specs

Buffer
**Preservative:** 0.03% Proclin 300
**Constituents:** 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
Typically, we can ship your order within 1-3 business days of receipt. Delivery times may vary based on the specific order and delivery method. Please contact your local distributor for more precise delivery estimates.
Synonyms
UPF0545 protein C22orf39, C22orf39
Target Names
C22orf39
Uniprot No.

Q&A

What is C22orf39 and why is it studied in research?

C22orf39 (Chromosome 22 Open Reading Frame 39) is also known as UPF0545 protein C22orf39, a protein encoded by a gene located on chromosome 22. The protein has been designated with UniProt accession number Q6P5X5 . While currently classified as an open reading frame with limited functional characterization, researchers study this protein to elucidate its biological role in human cellular processes. The HRP-conjugated antibodies targeting C22orf39 enable various detection methods in research settings aiming to understand protein expression patterns, localization, and potential functions in normal and pathological conditions.

What is the difference between unconjugated and HRP-conjugated C22orf39 antibodies?

Unconjugated C22orf39 antibodies consist solely of the immunoglobulin molecules that specifically recognize and bind to C22orf39 protein. In contrast, HRP-conjugated versions have horseradish peroxidase (HRP) enzyme molecules chemically linked to the antibody structure . This conjugation provides direct enzymatic activity that, in the presence of appropriate substrates, generates detectable signals (typically colorimetric, chemiluminescent, or fluorescent). The primary advantage of HRP-conjugated antibodies is the elimination of secondary detection antibodies in experimental workflows, reducing background signal and protocol complexity while potentially increasing sensitivity and enabling direct detection in applications such as Western blotting, ELISA, and immunohistochemistry .

What are the key specifications of commercially available C22orf39 Antibody, HRP conjugated?

The commercially available C22orf39 Antibody, HRP conjugated typically presents with these specifications:

ParameterSpecificationNotes
HostRabbitCommon across multiple vendors
ClonalityPolyclonalGenerated from multiple B cell lineages
Target EpitopeAA 31-105 or AA 1-142Different products target different regions
ReactivityHumanSpecies-specific recognition
IsotypeIgGStandard antibody class
ConjugateHRP (Horseradish Peroxidase)Enzymatic reporter molecule
ApplicationsWB, ELISA, IHC (frozen and paraffin)Multiple detection methodologies
PurificationProtein AStandard purification method
BufferTBS (pH 7.4) with BSA, preservatives & glycerolFor stability and activity maintenance
Storage-20°C to -80°CTo maintain antibody integrity

The antibody is typically derived from rabbits immunized with KLH-conjugated synthetic peptides from human C22orf39 protein sequences .

What are the optimal dilution ratios for different applications of C22orf39 Antibody, HRP conjugated?

The optimal dilution ratios vary significantly depending on the specific application:

ApplicationRecommended Dilution RangeNotes
Western Blotting (WB)1:300-1:5000Higher dilutions for more abundant targets
ELISA1:300-1:5000May require optimization based on assay design
IHC (Paraffin-embedded)1:200-1:400Temperature and antigen retrieval affect performance
IHC (Frozen Sections)1:100-1:500Generally requires lower dilution than paraffin IHC

Researchers should note that these ranges are starting points, and optimization is critical for each specific experimental system. Factors influencing optimal dilution include target abundance, sample preparation method, incubation conditions, and detection system sensitivity. It is recommended to perform a dilution series during initial optimization to determine the concentration that provides the best signal-to-noise ratio for the specific experimental conditions .

How should I design a Western blot experiment using C22orf39 Antibody, HRP conjugated?

A well-designed Western blot experiment using C22orf39 Antibody, HRP conjugated should follow this methodological approach:

  • Sample Preparation:

    • Extract proteins from human cell lines or tissues using appropriate lysis buffers

    • Determine protein concentration using Bradford or BCA assay

    • Prepare samples containing 20-50 μg total protein with reducing sample buffer

  • Electrophoresis and Transfer:

    • Separate proteins on 10-12% SDS-PAGE gels

    • Transfer proteins to PVDF or nitrocellulose membranes

    • Verify transfer efficiency with reversible staining (Ponceau S)

  • Blocking and Antibody Incubation:

    • Block membranes with 5% non-fat dry milk or BSA in TBST for 1 hour

    • Incubate with C22orf39 Antibody, HRP conjugated at 1:1000 dilution in blocking buffer overnight at 4°C or 2 hours at room temperature

    • Wash extensively with TBST (at least 3 × 10 minutes)

  • Signal Detection:

    • Apply HRP substrate (chemiluminescent, fluorescent, or colorimetric)

    • Expose to appropriate detection system (film, digital imager)

    • Include molecular weight markers to confirm target size

  • Controls:

    • Positive control: Lysate from cells known to express C22orf39

    • Negative control: Lysate from cells with C22orf39 knockdown

    • Loading control: Antibody against housekeeping protein (e.g., β-actin, GAPDH)

This methodological approach minimizes non-specific binding while maximizing target-specific signal detection .

What are the key considerations for immunohistochemistry using C22orf39 Antibody, HRP conjugated?

Successful immunohistochemistry (IHC) with C22orf39 Antibody, HRP conjugated requires careful attention to several methodological factors:

  • Tissue Fixation and Processing:

    • For paraffin sections: Use 10% neutral buffered formalin fixation (12-24 hours)

    • For frozen sections: Flash freeze tissue in OCT compound using liquid nitrogen

    • Optimal section thickness: 4-6 μm for paraffin, 8-10 μm for frozen

  • Antigen Retrieval:

    • Heat-induced epitope retrieval (HIER) using citrate buffer (pH 6.0) or EDTA buffer (pH 9.0)

    • Pressure cooker method: 125°C for 3 minutes or 95°C for 20 minutes

    • Allow sections to cool slowly to room temperature before antibody application

  • Blocking Endogenous Peroxidase and Non-Specific Binding:

    • Quench endogenous peroxidase with 3% H₂O₂ for 10 minutes

    • Block non-specific binding with 5-10% normal serum from the same species as the secondary antibody

    • Additional biotin/avidin blocking if using biotin-based detection systems

  • Antibody Application:

    • Apply C22orf39 Antibody, HRP conjugated at 1:200-1:400 dilution for paraffin sections or 1:100-1:500 for frozen sections

    • Incubate in humidified chamber at 4°C overnight or at room temperature for 60 minutes

    • Wash thoroughly with PBS or TBS (3 × 5 minutes)

  • Signal Development and Counterstaining:

    • Apply DAB or AEC substrate until optimal signal develops (2-10 minutes, monitor microscopically)

    • Counterstain with hematoxylin (30 seconds to 2 minutes)

    • Dehydrate, clear, and mount with appropriate medium

  • Controls:

    • Positive tissue control: Sample known to express C22orf39

    • Negative control: Omission of primary antibody

    • Isotype control: Non-specific IgG from same species at identical concentration

This methodological approach helps ensure specific staining while minimizing background and artifacts, critical for accurate localization and expression analysis .

What are the optimal storage conditions for C22orf39 Antibody, HRP conjugated to maintain activity?

Maintaining optimal activity of C22orf39 Antibody, HRP conjugated requires strict adherence to proper storage conditions:

  • Temperature Management:

    • Store at -20°C for long-term storage or -80°C for extended periods

    • Avoid storing at 4°C for more than two weeks as HRP activity gradually decreases

    • Avoid repeated freeze-thaw cycles that damage both antibody binding and HRP enzymatic activity

  • Aliquoting Strategy:

    • Upon receipt, divide the antibody into small single-use aliquots (10-50 μL)

    • Use sterile microcentrifuge tubes with secure seals

    • Document date and number of freeze-thaw cycles on each aliquot

  • Buffer Considerations:

    • Maintain glycerol concentration (typically 50%) to prevent freeze damage

    • Never add sodium azide as it inhibits HRP activity

    • Protect from light, especially if using transparent storage containers

  • Working Solution Handling:

    • Thaw aliquots rapidly at room temperature with gentle agitation

    • Keep on ice during experiment preparation

    • Return unused portion to -20°C immediately after use

  • Quality Control Monitoring:

    • Test activity periodically using a standard sample

    • Document signal intensity changes over time to monitor degradation

    • Replace antibody when signal decreases by more than 30% from initial level

Proper storage maximizes antibody shelf-life and ensures consistent experimental results across multiple studies .

What are common troubleshooting approaches for weak or absent signal when using C22orf39 Antibody, HRP conjugated?

When encountering weak or absent signals with C22orf39 Antibody, HRP conjugated, researchers should implement these methodological troubleshooting approaches:

  • Antibody Activity Assessment:

    • Verify HRP enzyme activity using direct enzyme assay with substrate

    • Check antibody storage conditions and freeze-thaw history

    • Test with positive control sample known to express C22orf39

  • Protocol Optimization:

    • Decrease antibody dilution (use more concentrated antibody)

    • Increase incubation time (e.g., from 1 hour to overnight at 4°C)

    • Optimize antigen retrieval conditions (for IHC) or sample preparation (for WB)

    • Enhance detection sensitivity using amplification systems

  • Sample-Related Factors:

    • Verify target protein expression in the sample (use alternative detection method)

    • Check sample preparation (inappropriate lysis conditions may destroy epitopes)

    • Evaluate protein loading (insufficient protein amount)

    • Assess target protein denaturation conditions (reducing vs. non-reducing)

  • Technical Issues:

    • For Western blotting: Improve transfer efficiency, check membrane type compatibility

    • For ELISA: Verify coating efficiency, optimize blocking conditions

    • For IHC: Ensure proper tissue fixation, test multiple antigen retrieval methods

  • Substrate Considerations:

    • Use fresh substrate solution

    • Try alternative substrates with higher sensitivity

    • Optimize substrate incubation time

  • Equipment Verification:

    • Calibrate detection instruments

    • Adjust exposure times or gain settings

    • Check for instrument malfunction

This systematic approach addresses the multifactorial nature of signal generation in immunodetection techniques, enabling identification and resolution of specific experimental limitations .

How can I prevent non-specific background when using C22orf39 Antibody, HRP conjugated?

Reducing non-specific background when using C22orf39 Antibody, HRP conjugated requires implementation of these methodological strategies:

  • Optimized Blocking Protocols:

    • Use 5% non-fat dry milk in TBST for Western blotting

    • For ELISA and IHC, 1-3% BSA or normal serum from the same species as the secondary antibody

    • Extend blocking time to 2 hours at room temperature

    • Include 0.1-0.3% Tween-20 in blocking and antibody diluent buffers

  • Antibody Dilution Optimization:

    • Titrate antibody concentration to determine optimal signal-to-noise ratio

    • Prepare antibody dilutions in blocking buffer containing 0.1% Tween-20

    • Pre-absorb antibody with non-specific proteins if cross-reactivity is suspected

  • Enhanced Washing Procedures:

    • Increase wash buffer volume (use at least 10× membrane volume)

    • Extend washing time (5-10 minutes per wash, minimum 3-5 washes)

    • Use gentle agitation during washing steps

  • Endogenous Enzyme Inactivation:

    • For tissues/cells with high endogenous peroxidase: Use 3% H₂O₂ treatment for 10-30 minutes

    • For IHC: Include levamisole to block endogenous alkaline phosphatase

  • Buffer and Reagent Quality Control:

    • Use freshly prepared buffers

    • Filter all solutions to remove particulates

    • Prepare antibody dilutions immediately before use

  • Sample Preparation Refinement:

    • Ensure complete solubilization of proteins

    • Remove particulates by centrifugation

    • Adjust protein concentration to optimal level

  • Technical Adjustments:

    • Use highly purified water for all solutions

    • Avoid touching membranes or slides with bare hands

    • Use clean, dust-free containers

These methodological approaches collectively reduce non-specific protein interactions, endogenous enzyme activities, and technical artifacts that contribute to background signal .

How can C22orf39 Antibody, HRP conjugated be integrated into multiplex immunostaining protocols?

Integrating C22orf39 Antibody, HRP conjugated into multiplex immunostaining requires careful methodological planning:

  • Sequential Multiplex Strategy:

    • Begin with C22orf39 Antibody, HRP conjugated detection using DAB substrate (brown)

    • After complete signal development, denature or strip the first antibody using glycine buffer (pH 2.2, 0.1M) for 10 minutes

    • Block again and apply second antibody with different enzyme (e.g., alkaline phosphatase)

    • Develop with contrasting substrate (e.g., Vector Blue, Fast Red, or Vector Red)

    • Repeat process for additional targets

  • Tyramide Signal Amplification (TSA) Multiplex Approach:

    • Apply C22orf39 Antibody, HRP conjugated at lower concentration (1:1000-1:2000)

    • Develop with tyramide-fluorophore conjugate (e.g., fluorescein-tyramide)

    • Inactivate HRP using 3% H₂O₂ for 30 minutes or 0.1M HCl for 10 minutes

    • Apply subsequent HRP-conjugated antibodies with different tyramide-fluorophores

    • Image using multispectral microscopy with appropriate filter sets

  • Automated Multiplex Systems Integration:

    • Program compatible automated staining platforms for sequential application

    • Implement precise timing for antibody incubation, washing, and signal development

    • Include microwave treatment between rounds (95°C for 5 minutes in citrate buffer)

    • Utilize spectral unmixing software for analysis

  • Spatial Considerations:

    • Prioritize nuclear, cytoplasmic, and membrane targets in order of increasing compartment size

    • Select chromogens or fluorophores with minimal spectral overlap

    • Use digital pathology tools for co-localization analysis

  • Controls for Multiplex Validation:

    • Single-stained serial sections for each antibody

    • Antibody omission controls for each round

    • Testing for cross-reactivity between detection systems

This methodological framework enables simultaneous or sequential detection of multiple targets including C22orf39 in the same tissue section, providing spatial context and relationship information unattainable through single-marker approaches .

How can I quantitatively analyze C22orf39 expression using HRP-conjugated antibodies?

Quantitative analysis of C22orf39 expression using HRP-conjugated antibodies requires rigorous methodological approaches:

  • Western Blot Densitometry:

    • Ensure linear range of detection by loading protein gradient series

    • Capture digital images using CCD camera systems with 16-bit depth

    • Analyze band intensity using software (ImageJ, Bio-Rad Image Lab, etc.)

    • Normalize target protein to validated housekeeping protein (β-actin, GAPDH)

    • Calculate relative expression as ratio of target to reference protein

    • Include standard curve using recombinant protein if absolute quantification is needed

  • Quantitative ELISA Development:

    • Generate standard curve using recombinant C22orf39 protein (5-7 concentrations)

    • Apply C22orf39 Antibody, HRP conjugated at optimized concentration

    • Measure optical density at appropriate wavelength (450nm for TMB substrate)

    • Analyze data using four-parameter logistic regression

    • Ensure samples fall within the linear portion of the standard curve

    • Calculate concentration from curve equation

  • Digital Pathology for IHC Quantification:

    • Capture standardized digital images under identical exposure conditions

    • Use color deconvolution algorithms to isolate DAB signal

    • Set threshold for positive staining based on controls

    • Measure parameters: positive pixel count, average intensity, H-score

    • Calculate staining index: (% positive cells) × (staining intensity)

    • Validate with manual scoring by trained pathologists

  • Controls and Normalization:

    • Include calibration standards on each experimental run

    • Apply tissue microarrays with varying expression levels for IHC

    • Normalize to tissue area or cell count

    • Use identical instrument settings across experiments

  • Statistical Analysis:

    • Perform experiments in triplicate minimum

    • Apply appropriate statistical tests based on data distribution

    • Calculate coefficient of variation to assess reproducibility

    • Report both raw and normalized data

This methodological framework provides quantitative measurement rather than qualitative assessment, enabling precise comparison of C22orf39 expression across experimental conditions, cell types, or disease states .

What are the considerations for using C22orf39 Antibody, HRP conjugated in high-throughput screening applications?

Implementing C22orf39 Antibody, HRP conjugated in high-throughput screening requires addressing several methodological considerations:

  • Microplate Format Optimization:

    • Select appropriate plate type (384-well for higher throughput)

    • Determine optimal cell seeding density (typically 5,000-15,000 cells/well)

    • Validate edge effects and position-dependent variations

    • Implement randomized or Latin square sample placement design

  • Automation Integration:

    • Program liquid handling robots for consistent antibody application

    • Calibrate dispensing volumes periodically (CV < 5%)

    • Optimize washing parameters to minimize well-to-well variation

    • Validate automated vs. manual protocols using Z-factor analysis

  • Signal Detection Standardization:

    • Select appropriate HRP substrate for desired signal-to-background ratio

    • For luminescence: Enhanced chemiluminescent substrates with extended signal stability

    • For colorimetric: TMB with sulfuric acid stop solution

    • Establish plate reader settings: gain, integration time, read mode

  • Miniaturization Considerations:

    • Reduce reagent volumes proportionally to maintain concentration

    • Validate surface tension effects in smaller wells

    • Adjust incubation times for smaller volumes

    • Test for evaporation effects in edge wells

  • Quality Control Measures:

    • Include positive and negative controls on each plate

    • Calculate Z′-factor to assess assay quality (accept only Z′ > 0.5)

    • Implement plate normalization algorithms

    • Analyze inter-plate and intra-plate variation

  • Data Management and Analysis Pipeline:

    • Develop automated data capture and analysis workflows

    • Implement statistical methods for hit identification

    • Establish thresholds based on standard deviations from controls

    • Create visualization tools for rapid data interpretation

  • Validation Strategy:

    • Confirm primary hits with dose-response curves

    • Validate with orthogonal assays

    • Identify false positives using counter-screens

This comprehensive methodological approach enables efficient, reproducible, and scalable interrogation of C22orf39 expression or modulation across large compound libraries, genetic perturbations, or clinical samples .

What are the different methods for conjugating antibodies to HRP and their relative advantages?

Multiple methodologies exist for conjugating antibodies to HRP, each with distinct advantages:

MethodPrincipleAdvantagesLimitations
Periodate OxidationOxidation of HRP carbohydrates creates aldehydes that react with antibody aminesSimple procedure, mild conditions, good yield (60-80%)Limited control over conjugation sites, potential for polymerization
Glutaraldehyde CouplingBifunctional crosslinker reacts with amino groups on both proteinsInexpensive, widely accessible reagents, straightforward protocolHigher potential for self-coupling, variable stoichiometry
Maleimide-Thiol ChemistryMaleimide-activated HRP reacts with thiol groups on reduced antibodiesPrecise control over conjugation sites, minimal aggregation, >90% yieldRequires antibody reduction step, potential impact on antibody binding site if reduction not controlled
Click ChemistryBioorthogonal reaction between azide and alkyne groupsHighly specific, minimal side reactions, gentle conditionsRequires specialized reagents, additional modification steps
Site-Specific Enzymatic ConjugationEnzyme-catalyzed attachment at predefined sitesHomogeneous products, preserved antibody orientationMore complex procedure, requires engineered antibodies or additional enzymes

The maleimide-thiol chemistry approach is frequently preferred in research settings as it offers superior control over the conjugation process, limiting self-coupling and polymerization while providing consistent antibody:HRP ratios (typically 2-4 HRP molecules per antibody) . Commercial conjugation kits predominantly utilize this chemistry, providing researchers with standardized protocols that maintain antibody binding capacity while integrating HRP enzymatic activity .

How can I optimize the HRP:antibody ratio for specific experimental applications?

Optimizing the HRP:antibody ratio requires methodological approaches tailored to specific applications:

  • Ratio Determination Considerations:

    • Western blotting typically performs best with 2-4 HRP molecules per antibody

    • ELISA may require 3-5 HRP molecules per antibody for optimal sensitivity

    • IHC generally benefits from 1-3 HRP molecules per antibody to minimize background

    • Flow cytometry applications usually need 1-2 HRP molecules per antibody

  • Experimental Optimization Protocol:

    • Prepare conjugates with varying molar ratios (1:1, 2:1, 4:1, 8:1 HRP:antibody)

    • Characterize conjugates using UV-visible spectroscopy (A403/A280 ratio)

    • Calculate actual HRP:antibody ratio using extinction coefficients

    • Test each conjugate in the intended application using identical conditions

    • Select ratio providing optimal signal-to-noise with minimal background

  • Application-Specific Adjustments:

    • For low-abundance targets: Increase HRP:antibody ratio (4-6:1)

    • For high-abundance targets: Decrease HRP:antibody ratio (1-2:1)

    • For multiplex applications: Balance ratio to match signal intensity across targets

  • Technical Assessment Methods:

    • SDS-PAGE analysis to verify conjugation efficiency

    • Size exclusion chromatography to assess aggregation

    • HPLC analysis for conjugate purity assessment

    • Functional binding assays to confirm retained antibody specificity

  • Validation Approach:

    • Compare performance against commercial conjugates

    • Assess lot-to-lot consistency through repeated conjugations

    • Document relationship between ratio and limit of detection

This methodological framework enables researchers to determine the optimal HRP:antibody ratio that balances signal strength, background reduction, and maintained antibody specificity for each experimental system and target abundance level .

What quality control methods should be applied to verify successful conjugation of HRP to C22orf39 antibodies?

Comprehensive quality control for HRP-conjugated C22orf39 antibodies should include these methodological approaches:

  • Spectrophotometric Analysis:

    • Measure absorbance at 280 nm (protein) and 403 nm (heme group of HRP)

    • Calculate A403/A280 ratio (typically 0.3-0.5 for optimally conjugated antibodies)

    • Higher ratios indicate higher HRP incorporation

    • Monitor aggregation by absorbance at 320 nm (should be minimal)

  • SDS-PAGE with Multiple Detection Methods:

    • Run reduced and non-reduced samples on 8-12% gels

    • Coomassie staining: Verify MW shift compared to unconjugated antibody

    • HRP activity staining: Incubate gel with DAB/H₂O₂ to visualize HRP activity

    • Western blotting: Probe with anti-rabbit IgG to confirm antibody presence

  • Size Exclusion Chromatography (SEC):

    • Analyze conjugate on HPLC SEC column

    • Calculate percentage of monomeric conjugate (should be >90%)

    • Quantify aggregates and free HRP or antibody

    • Compare elution profile to unconjugated antibody standards

  • Functional Activity Assessment:

    • Enzyme activity: TMB substrate kinetic assay

    • Binding activity: ELISA against purified C22orf39 protein or peptide

    • Compare activity to pre-conjugation antibody at equivalent concentrations

    • Calculate activity retention percentage (should be >80%)

  • Stability Testing:

    • Store conjugate at recommended conditions (-20°C)

    • Test activity at multiple time points (0, 1, 3, 6 months)

    • Document any decrease in binding or enzymatic activity

  • Application-Specific Validation:

    • Test in intended application (WB, IHC, ELISA)

    • Compare performance to commercial conjugate standards

    • Verify specific staining pattern matches unconjugated antibody with secondary detection

    • Evaluate background and non-specific staining

  • Protein Conjugation Check Strip Test:

    • Apply conjugate to nitrocellulose strips containing Protein A/G

    • Develop with HRP substrate

    • Visible line confirms successful conjugation of active HRP to antibody

This comprehensive quality control methodology ensures that C22orf39 antibody, HRP conjugated maintains both antigen binding specificity and enzymatic activity, critical for reliable experimental outcomes .

How do I properly interpret C22orf39 expression patterns in normal versus pathological tissues?

Proper interpretation of C22orf39 expression patterns requires systematic methodological approaches:

  • Baseline Expression Characterization:

    • Analyze multiple normal tissue types under identical conditions

    • Document normal expression levels, cellular localization, and tissue distribution

    • Establish quantitative baseline using digital pathology or densitometry

    • Create reference atlas of normal expression patterns across tissue types

  • Pathological Sample Analysis Framework:

    • Compare against matched normal tissue controls whenever possible

    • Evaluate changes in expression level (increased/decreased/unchanged)

    • Assess alterations in subcellular localization (nuclear/cytoplasmic/membranous)

    • Document changes in expression pattern (diffuse/focal/heterogeneous)

    • Correlate with histopathological features (grade, type, stage)

  • Quantitative Assessment Methods:

    • Apply H-score methodology: Intensity (0-3) × percentage of positive cells

    • Use Allred scoring system: Intensity score (0-3) + proportion score (0-5)

    • Implement digital analysis with algorithm-based quantification

    • Normalize to appropriate reference markers or total cell count

  • Validation Controls:

    • Technical controls: Antibody omission, isotype control, blocking peptide

    • Biological controls: Tissues with known expression levels, genetic knockdown models

    • Orthogonal validation: Correlate with mRNA expression (ISH or qPCR)

    • Independent antibody validation: Confirm with alternative antibody clone

  • Statistical Analysis Framework:

    • Apply appropriate statistical tests based on data distribution

    • Establish significance thresholds with multiple testing correction

    • Calculate confidence intervals for expression differences

    • Implement multivariate analysis to identify correlations with clinical parameters

This methodological approach enables reliable distinction between normal biological variation and pathologically relevant changes in C22orf39 expression, essential for accurate interpretation of research findings .

What are essential controls for experiments using C22orf39 Antibody, HRP conjugated?

Comprehensive experimental design with C22orf39 Antibody, HRP conjugated must include these essential controls:

  • Antibody Specificity Controls:

    • Peptide Competition/Blocking: Pre-incubate antibody with immunizing peptide (31-105 aa) at 5-10× molar excess

    • Genetic Validation: Compare samples with C22orf39 knockdown/knockout versus wild-type

    • Overexpression Control: Test cells transfected with C22orf39 expression vector

    • Recombinant Protein: Include purified C22orf39 protein as positive control

  • Technical Controls:

    • Antibody Omission: Complete protocol without primary antibody

    • Isotype Control: Non-specific rabbit IgG-HRP at identical concentration

    • Sequential Dilution Series: Verify signal intensity correlates with antibody concentration

    • Cross-Reactivity Assessment: Test on tissues/cells from non-target species

  • Application-Specific Controls:

    For Western Blotting:

    • Loading Control: Probe for housekeeping protein (β-actin, GAPDH)

    • Molecular Weight Marker: Verify target band at expected size

    • Positive Tissue/Cell Lysate: Sample known to express C22orf39

    For IHC/ICC:

    • Positive Tissue Control: Sample known to express C22orf39

    • Negative Tissue Control: Sample known not to express C22orf39

    • Internal Controls: Evaluate non-target cells within sample as internal reference

    For ELISA:

    • Standard Curve: Purified C22orf39 protein in serial dilutions

    • Blank Wells: Complete protocol without sample addition

    • Spike Recovery: Add known amount of target to sample

  • Signal Development Controls:

    • Substrate Only Control: Apply substrate without antibody to check endogenous enzymes

    • Timing Standardization: Standardize development time across experiments

    • Signal Linearity Assessment: Verify signal proportionally increases with target concentration

This comprehensive control framework enables discrimination between specific signal and technical artifacts, essential for generating reliable and reproducible data with C22orf39 Antibody, HRP conjugated .

How do I resolve contradictory results between C22orf39 Antibody, HRP conjugated and other detection methods?

Resolving contradictory results between detection methods requires systematic methodological investigation:

  • Technical Discrepancy Analysis:

    • Epitope Accessibility: Different detection methods may access different protein regions

      • HRP-conjugated antibody targets AA 31-105

      • Other antibodies may target different regions impacted by protein folding or interactions

    • Assay Sensitivity Thresholds: Quantify detection limits of each method

      • Western blot typically requires >0.1 ng protein

      • IHC may detect lower abundance with signal amplification

      • Mass spectrometry often requires >1-10 ng protein

    • Sample Preparation Differences: Assess impact of processing on epitope integrity

      • Fixation (formalin vs. frozen) can differentially affect epitope availability

      • Denaturing conditions may reveal cryptic epitopes

  • Validation Through Multiple Approaches:

    • Orthogonal Techniques: Apply methods that detect different molecular properties

      • Antibody-independent methods: Mass spectrometry, RNA-seq

      • Alternative antibody epitopes: N-terminal vs. C-terminal antibodies

      • Genetic approaches: CRISPR knockout, siRNA knockdown with phenotype correlation

    • Quantitative Correlation Analysis: Plot results from multiple methods to identify systematic biases

      • Calculate correlation coefficients between methods

      • Identify samples with largest discrepancies for detailed investigation

  • Controlled Variable Isolation:

    • Sequential Protocol Modification: Systematically vary one parameter at a time

      • Antibody concentration, incubation time, buffer composition

      • Sample preparation variables: fixation time, antigen retrieval methods

      • Detection system components: substrate type, amplification methods

    • Sample-Specific Factors: Evaluate biological variables affecting detection

      • Post-translational modifications

      • Splice variants affecting epitope presence

      • Protein-protein interactions masking binding sites

  • Advanced Analytical Resolution:

    • Subcellular Fractionation: Analyze nuclear, cytoplasmic, and membrane fractions separately

    • Immunoprecipitation-Mass Spectrometry: Confirm antibody target identity

    • Epitope Mapping: Determine precise binding site using peptide arrays

    • Native vs. Denatured Analysis: Compare detection under different structural conditions

This methodological framework transforms contradictory results into valuable insights about C22orf39 biology, potential isoforms, or context-dependent modifications that affect detection by different methods .

How can C22orf39 Antibody, HRP conjugated be utilized in emerging single-cell analysis technologies?

C22orf39 Antibody, HRP conjugated can be integrated into emerging single-cell technologies through these methodological approaches:

  • Single-Cell Western Blotting Integration:

    • Isolate individual cells using micromanipulation or flow cytometry

    • Lyse cells directly in microwell plates

    • Perform electrophoretic separation in microfluidic channels

    • Apply C22orf39 Antibody, HRP conjugated at higher concentration (1:200-1:500)

    • Develop with enhanced chemiluminescent substrate

    • Capture signal with high-sensitivity CCD camera

    • Quantify using specialized single-cell analysis software

  • Mass Cytometry (CyTOF) Adaptation:

    • Conjugate C22orf39 antibody to metal isotopes instead of HRP

    • Compare expression patterns with existing HRP-conjugated data

    • Correlate C22orf39 expression with up to 40 other protein markers

    • Perform dimensionality reduction analysis (tSNE, UMAP)

    • Identify cell populations with co-expression patterns

  • Spatial Transcriptomics Correlation:

    • Perform IHC with C22orf39 Antibody, HRP conjugated on serial sections

    • Align with spatial transcriptomics data

    • Compare protein expression with mRNA distribution

    • Analyze discrepancies for post-transcriptional regulation insights

    • Create integrated spatial protein-transcript maps

  • Microfluidic Immunophenotyping:

    • Capture rare cell populations in microfluidic channels

    • Apply C22orf39 Antibody, HRP conjugated in nanoliter volumes

    • Develop with fluorescent tyramide substrates

    • Analyze using integrated microscopy systems

    • Correlate with single-cell RNA-seq from matched samples

  • Single-Cell Secretion Analysis:

    • Encapsulate individual cells in droplets or microwells

    • Apply C22orf39 Antibody, HRP conjugated to capture secreted proteins

    • Develop signal using digital ELISA principles

    • Correlate secretion patterns with cellular phenotypes

    • Analyze dynamic changes over time

This forward-looking methodological framework positions C22orf39 research within the rapidly evolving single-cell analysis landscape, enabling correlation between protein expression, transcriptomics, and cellular phenotypes at unprecedented resolution .

What are potential applications of C22orf39 Antibody, HRP conjugated in biomarker development?

C22orf39 Antibody, HRP conjugated offers methodological advantages for biomarker development:

  • Translational Biomarker Screening Strategy:

    • Screen tissue microarrays across multiple disease states

    • Quantify C22orf39 expression using digital pathology

    • Correlate expression patterns with clinical outcomes

    • Identify disease subtypes with differential expression

    • Validate findings in independent patient cohorts

  • Liquid Biopsy Development:

    • Develop ultrasensitive ELISA using HRP-amplification systems

    • Detect circulating C22orf39 protein in serum/plasma

    • Establish normal range across healthy population

    • Compare levels in disease states versus controls

    • Evaluate performance metrics: sensitivity, specificity, PPV, NPV

    • Correlate with traditional tissue biomarkers

  • Multiplexed Biomarker Panel Integration:

    • Combine C22orf39 detection with established biomarkers

    • Develop multiplexed IHC panels for comprehensive profiling

    • Apply machine learning algorithms to identify optimal marker combinations

    • Calculate integrative scores incorporating multiple markers

    • Assess improvement in diagnostic/prognostic performance

  • Pharmacodynamic Biomarker Development:

    • Monitor C22orf39 expression changes during therapeutic intervention

    • Establish timeline of expression changes in response to treatment

    • Correlate expression patterns with treatment response

    • Identify potential resistance mechanisms

    • Develop companion diagnostic applications

  • Point-of-Care Diagnostic Development:

    • Adapt HRP-based detection to lateral flow immunoassay format

    • Optimize antibody concentration for rapid visual detection

    • Develop smartphone-based quantification methods

    • Validate against laboratory-based methods

    • Assess performance in resource-limited settings

This methodological framework provides a roadmap for translating basic C22orf39 research into clinically relevant biomarker applications across screening, diagnosis, prognosis, and therapeutic monitoring domains .

How might advanced computational analysis enhance data interpretation from experiments using C22orf39 Antibody, HRP conjugated?

Advanced computational approaches can transform data interpretation from C22orf39 Antibody, HRP conjugated experiments:

  • Image Analysis Algorithms for IHC/ICC:

    • Deep learning-based cell segmentation for precise quantification

    • Convolutional neural networks for automated staining pattern recognition

    • Multi-parameter analysis correlating C22orf39 with morphological features

    • Spatial statistics to characterize distribution patterns

    • Quantitative comparison across multiple samples with standardization

  • Integrative Multi-Omics Data Analysis:

    • Correlate C22orf39 protein expression with transcriptomic profiles

    • Integrate with phosphoproteomics to identify post-translational modifications

    • Apply network analysis to identify functional protein interactions

    • Construct regulatory pathways through correlation analysis

    • Implement Bayesian models for causal relationship prediction

  • Machine Learning for Pattern Recognition:

    • Train algorithms to recognize subtle expression patterns across large datasets

    • Identify patient subgroups based on C22orf39 expression patterns

    • Predict clinical outcomes from expression signatures

    • Develop automated quality control for experimental reproducibility

    • Implement transfer learning from similar protein expression datasets

  • Digital Pathology Integration:

    • Whole slide imaging with automated hotspot detection

    • Quantitative spatial analysis of tumor microenvironment

    • Co-localization analysis with multiple markers

    • 3D reconstruction from serial sections

    • Virtual multiplex through computational alignment of serial sections

  • Systems Biology Approaches:

    • Contextualize C22orf39 within protein interaction networks

    • Perform pathway enrichment analysis based on correlated proteins

    • Model dynamic changes in expression under various conditions

    • Predict functional consequences of expression alterations

    • Generate testable hypotheses for experimental validation

This computational methodological framework transforms descriptive observations into mechanistic insights, extracting maximum value from experimental data generated using C22orf39 Antibody, HRP conjugated while revealing patterns and relationships not apparent through conventional analysis .

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