Antibodies are Y-shaped immunoglobulins composed of two heavy chains and two light chains (IgG, IgA, IgM, IgE, IgD). Their structure includes:
Fab fragment: Contains the antigen-binding site (paratope) formed by variable regions (VH and VL) of heavy and light chains .
Fc fragment: Mediates immune effector functions (e.g., complement activation, Fc receptor binding) via conserved domains (CH2 and CH3) .
Fab and Fc fragments can be cleaved enzymatically (e.g., papain, pepsin) or engineered into smaller formats like single-chain variable fragments (scFv) or single-domain antibodies (sdAb) . These formats enhance tissue penetration and reduce immunogenicity, as demonstrated in tumor spheroid models .
Modern antibody engineering involves:
High-throughput screening: Identifying clonal IgG sequences from immunized donors using single-cell RNA/VDJ sequencing .
Affinity optimization: Achieving nanomolar binding (e.g., KD = 1.959 × 10⁻⁹ M for Abs-9 against Staphylococcus aureus SpA5) .
Fc region silencing: Modifying Fc effector functions to reduce adverse reactions (e.g., L234A/L235A mutations) .
Commercial and custom antibodies must undergo rigorous validation:
Western blotting: Assessing specificity against target antigens .
Immunocyto-/immunohistochemistry: Verifying synaptic localization and co-localization with markers .
In vivo efficacy: Testing prophylactic/therapeutic effects in animal models (e.g., Abs-9 against drug-resistant S. aureus strains) .
KEGG: spo:SPAC3H1.06c
STRING: 4896.SPAC3H1.06c.1
SPAC3H1.06c antibody is a polyclonal antibody developed against the SPAC3H1.06c protein from Schizosaccharomyces pombe (fission yeast). This antibody serves as an important tool for detecting and studying this yeast protein in various experimental contexts .
The antibody has the following specifications:
| Specification | Details |
|---|---|
| Article No | CSB-PA604547XA01SXV-2 |
| Clone Type | Polyclonal |
| Source/Host | Rabbit |
| Immunogen | Recombinant Schizosaccharomyces pombe (strain 972 / ATCC 24843) SPAC3H1.06c protein |
| Isotype | IgG |
| Purification | Affinity Purified |
| Applications | ELISA, Western Blotting (WB) |
| Species Reactivity | Yeast |
| Components | 1. 200μg antigens (used as positive control) 2. 1ml pre-immune serum (used as negative control) 3. Rabbit polyclonal antibodies purified by Antigen Affinity |
| Storage | -20°C or -80°C |
| UniProt Number | Q10072 |
| Entrez Gene ID | 2543376 |
The antibody is supplied unconjugated and has been specifically designed for research applications focusing on yeast biology .
SPAC3H1.06c antibody has been validated for two primary applications in research settings:
Enzyme-Linked Immunosorbent Assay (ELISA): The antibody can be used to detect and quantify SPAC3H1.06c protein in solution-based assays. This application is particularly useful for quantitative analysis of protein expression across different experimental conditions .
Western Blotting (WB): The antibody effectively detects SPAC3H1.06c protein in denatured protein mixtures separated by gel electrophoresis. This application allows researchers to assess protein size, expression levels, and potential post-translational modifications .
While these are the validated applications, researchers may explore its utility in other immunological techniques such as immunoprecipitation or immunofluorescence microscopy, though additional validation would be required to confirm its performance in these contexts.
Proper validation of SPAC3H1.06c antibody is essential for experimental reliability and reproducibility. A comprehensive validation approach should include:
Control testing: Utilize the provided components - 200μg antigens as positive control and 1ml pre-immune serum as negative control - to establish baseline specificity .
Specificity assessment: Perform experiments using:
Wild-type yeast expressing SPAC3H1.06c
Knockout or knockdown strains (if available)
Overexpression systems
Dilution optimization: Test a range of antibody dilutions to determine optimal concentration for your specific application. Document the optimal dilution for future reference.
Cross-reactivity evaluation: Assess potential cross-reactivity with related proteins or in non-target species if relevant to your research questions.
Batch validation: If using multiple antibody batches, document batch numbers and perform side-by-side comparisons to identify any batch-to-batch variations .
Understanding the immunogen used (recombinant Schizosaccharomyces pombe SPAC3H1.06c protein) provides context for interpreting results and potential cross-reactivity .
Implementing appropriate controls is fundamental for reliable antibody-based experiments. For SPAC3H1.06c antibody research, consider the following controls:
Antigen-specific controls:
Antibody controls:
Primary antibody omission
Isotype control (rabbit IgG)
Concentration gradient to assess signal-to-noise ratio
Sample-specific controls:
Wild-type yeast samples
Related yeast species to assess cross-reactivity
Technical replicates to ensure reproducibility
Application-specific controls:
For Western blotting: Loading controls (e.g., housekeeping proteins)
For ELISA: Standard curves using recombinant protein
The systematic implementation of these controls will help distinguish specific signals from background and validate antibody performance in your experimental system.
Optimizing Western blotting with SPAC3H1.06c antibody requires attention to several key parameters:
Sample preparation:
Effective yeast cell lysis (consider glass bead disruption or enzymatic methods)
Inclusion of protease inhibitors to prevent degradation
Proper protein quantification (BCA or Bradford assay)
Sample denaturation (typically 95°C for 5 minutes in reducing sample buffer)
Electrophoresis conditions:
Choose appropriate gel percentage based on target protein size
Include molecular weight markers
Load 20-50μg total protein per lane
Transfer parameters:
PVDF or nitrocellulose membrane selection
Transfer buffer optimization (methanol percentage, SDS inclusion)
Transfer time and voltage/amperage settings
Antibody incubation:
Blocking: 5% non-fat dry milk or BSA in TBST (1 hour at room temperature)
Primary antibody: Start with 1:1000 dilution in blocking buffer (overnight at 4°C)
Washing: 3-5 washes with TBST (5 minutes each)
Secondary antibody: HRP-conjugated anti-rabbit IgG (1:5000 in blocking buffer, 1 hour at room temperature)
Detection and analysis:
Enhanced chemiluminescence (ECL) detection
Image acquisition below saturation
Densitometric analysis with appropriate normalization to loading controls
Optimization table for Western blotting parameters:
| Parameter | Testing Range | Considerations |
|---|---|---|
| Blocking agent | 3-5% BSA or milk | Different proteins may require different blocking agents |
| Primary antibody | 1:500 - 1:2000 | Higher concentrations may increase background |
| Incubation time | 1h RT - overnight 4°C | Longer incubations may increase sensitivity |
| Washing stringency | 3-5 washes, 5-15 min each | More stringent washing reduces background |
For ELISA applications with SPAC3H1.06c antibody, consider the following protocol framework:
Plate coating:
For direct ELISA: Coat with sample containing SPAC3H1.06c
For sandwich ELISA: Coat with a capture antibody
Use carbonate-bicarbonate buffer (pH 9.6)
Incubate overnight at 4°C
Blocking:
Use 1-3% BSA in PBS with 0.05% Tween-20
Incubate for 1-2 hours at room temperature
Primary antibody incubation:
Dilute SPAC3H1.06c antibody in blocking buffer (1:1000 starting dilution)
Incubate for 2 hours at room temperature
Detection system:
HRP-conjugated anti-rabbit secondary antibody (1:5000)
TMB substrate for colorimetric detection
Stop with 2N H₂SO₄
Read at 450nm
ELISA optimization considerations:
| Parameter | Optimization Strategy | Expected Outcome |
|---|---|---|
| Coating concentration | Titrate antigen from 1-10 μg/ml | Higher concentration increases sensitivity to a point |
| Blocking concentration | Test 1%, 3%, 5% BSA | Higher concentrations reduce background |
| Antibody dilution | Test 2-fold serial dilutions | Optimal signal-to-noise ratio |
| Incubation temperature | Compare RT vs. 37°C | Higher temperature may increase reaction rate |
| Substrate development | Monitor kinetics (5-30 minutes) | Longer development increases signal but may increase background |
Generating a standard curve using purified recombinant SPAC3H1.06c protein is recommended for quantitative analysis.
Batch-to-batch variability is a recognized challenge with polyclonal antibodies . For SPAC3H1.06c antibody, implement these strategies:
Documentation and tracking:
Comparative analysis:
Perform side-by-side testing when receiving a new batch
Generate standard curves for each batch
Calculate correction factors if necessary
Inventory management:
Alternative approaches:
If variability is problematic, consider developing monoclonal alternatives
Implement orthogonal detection methods to validate key findings
The specific polyclonal nature of SPAC3H1.06c antibody makes batch variation particularly relevant , and reporting batch numbers in publications enhances experimental reproducibility.
Several factors can influence the performance of SPAC3H1.06c antibody in experimental applications:
Target protein considerations:
Post-translational modifications may alter epitope recognition
Protein conformation (native vs. denatured states)
Protein-protein interactions masking antibody binding sites
Expression level variations in different growth conditions
Experimental parameters:
Sample preparation methods (lysis buffers, detergents)
Fixation procedures (for microscopy applications)
Blocking reagents and their concentration
Antibody concentration and incubation conditions
Technical factors:
Storage conditions and freeze-thaw cycles
Buffer composition (pH, ionic strength)
Detection system sensitivity
Instrument calibration and settings
Methodical optimization addressing these factors will enhance both specificity and sensitivity. Cross-validation with orthogonal methods is recommended for critical findings.
Comprehensive reporting of antibody use is crucial for experimental reproducibility . For SPAC3H1.06c antibody, include:
Antibody identification:
Experimental parameters:
Validation information:
Controls employed
Validation experiments performed
Known limitations
Antigen details:
As emphasized in the literature, closely linking antibody information with application details in methods sections improves clarity and reproducibility .
Quantitative analysis of Western blot data requires systematic approaches to ensure accuracy and reproducibility:
Image acquisition:
Capture images within the linear dynamic range of detection
Avoid pixel saturation
Include molecular weight markers
Use consistent exposure settings across comparative samples
Densitometric analysis:
Use specialized software (ImageJ, ImageLab, etc.)
Define regions of interest consistently
Subtract background signal
Normalize to appropriate loading controls
Normalization strategies:
Housekeeping proteins (with caution regarding experimental conditions)
Total protein staining (Ponceau S, SYPRO Ruby)
Relative quantification to control samples
Statistical analysis:
Perform replicate experiments (minimum n=3)
Apply appropriate statistical tests
Report variability (standard deviation, standard error)
Consider the biological significance of quantitative differences
A standardized quantification workflow enhances reproducibility across experiments and facilitates meaningful comparisons between experimental conditions.
Combining antibody-based detection with complementary techniques provides more comprehensive insights:
Multi-technique integration:
Compare protein levels (antibody detection) with mRNA expression (RT-qPCR, RNA-seq)
Correlate protein detection with functional assays
Link localization data from fractionation with immunodetection
Integrate with proteomics data for pathway analysis
Genetic approaches:
Validate antibody specificity with knockout/knockdown models
Complement with overexpression systems
Use tagged constructs for orthogonal detection
Functional correlation:
Associate protein levels with phenotypic outcomes
Link protein expression to metabolic pathways
Correlate post-translational modifications with functional states
Data integration methods:
Correlation analysis between different data types
Network analysis to identify functional relationships
Temporal studies to establish causality
Example integration workflow:
| Technique | Information Provided | Integration with Antibody Data |
|---|---|---|
| RNA-seq | Transcriptional regulation | Correlation between mRNA and protein levels |
| Mass spectrometry | Protein identification | Validation of antibody specificity |
| Genetic manipulation | Loss/gain of function | Confirmation of antibody signals |
| Functional assays | Protein activity | Linking expression to function |
This multi-faceted approach enhances confidence in results and provides deeper biological insights.
SPAC3H1.06c antibody can be adapted for studying protein-protein interactions through several methodological approaches:
Co-immunoprecipitation (Co-IP):
Use SPAC3H1.06c antibody to pull down the target protein
Analyze co-precipitated proteins by Western blotting or mass spectrometry
Include appropriate controls (IgG control, knockout samples)
Consider native vs. crosslinked conditions
Proximity ligation assay (PLA):
Combine SPAC3H1.06c antibody with antibodies against potential interacting partners
Visualize protein proximity through fluorescent signal amplification
Quantify interaction signals in different cellular compartments
Far-Western analysis:
Use purified protein probes on membranes
Detect interactions with SPAC3H1.06c antibody
Compare interaction profiles under different conditions
Immunofluorescence co-localization:
Perform dual labeling with SPAC3H1.06c antibody and antibodies against candidate interactors
Analyze co-localization using confocal microscopy
Quantify spatial correlation using appropriate metrics
Each method offers distinct advantages and limitations, and combining multiple approaches provides stronger evidence for biologically relevant interactions.
Investigating post-translational modifications (PTMs) of SPAC3H1.06c requires specialized approaches:
PTM-specific detection:
Use phospho-specific antibodies if phosphorylation sites are known
Combine with general SPAC3H1.06c antibody to determine modification stoichiometry
Employ dephosphorylation treatments as controls
Gel mobility analysis:
Compare migration patterns under different conditions
Use Phos-tag gels for phosphorylation analysis
Perform two-dimensional gel electrophoresis to separate modified forms
Mass spectrometry integration:
Immunoprecipitate SPAC3H1.06c using the antibody
Analyze by mass spectrometry for PTM identification
Quantify modification levels across conditions
Functional correlation:
Compare PTM status with functional outcomes
Study dynamics of modifications under different stimuli
Investigate enzymes responsible for adding/removing modifications
Example workflow for phosphorylation analysis:
Immunoprecipitate SPAC3H1.06c from yeast lysates
Split sample and treat half with phosphatase
Perform Western blotting to detect mobility shifts
Submit samples for mass spectrometry analysis
Correlate phosphorylation with cellular conditions or stresses
Current limitations in SPAC3H1.06c antibody research include:
Technical challenges:
Knowledge gaps:
Incomplete understanding of epitope specificity
Limited published validation across diverse experimental conditions
Undetermined performance in advanced applications (ChIP, IF, IHC)
Future research directions to advance SPAC3H1.06c antibody applications:
Methodological improvements:
Development of monoclonal alternatives to reduce variability
Expansion of validated applications
Creation of modification-specific antibodies
Technological integration:
Combination with CRISPR-based approaches for validation
Integration with advanced imaging techniques
Development of multiplexed detection systems
Standardization efforts:
Establishment of reference standards for quantification
Development of shared validation protocols
Creation of community resources for antibody performance data