Antibodies (immunoglobulins) are Y-shaped proteins composed of two heavy chains and two light chains. Their dual functions—antigen binding (via the Fab fragment) and biological activity mediation (via the Fc region)—are critical in immune responses . For example, IgA antibodies are specialized for mucosal defense, binding pathogens in secretions like tears or mucus .
The development of therapeutic antibodies often targets specific regions of proteins to avoid disrupting physiological functions. For instance, anti-FGF19 antibodies (e.g., G1A8 and HS29) were engineered to inhibit hepatocellular carcinoma (HCC) growth without affecting bile acid regulation by targeting the N-terminus of FGF19 . Similarly, COVID-19 antibodies like SA58 demonstrated 80.82% efficacy in preventing symptomatic infection .
Specificity and Safety: Antibodies must avoid off-target effects. Early FGF19 antibodies caused bile acid toxicity, highlighting the need for epitope targeting .
Variant Adaptation: SARS-CoV-2 antibodies face challenges due to viral mutations, necessitating epitope-conserved designs .
Preclinical Validation: Antibodies like G1A8 require testing in xenograft models and non-human primates to confirm efficacy and safety .
Since no data on "OFUT19 Antibody" exists in the provided sources, its potential applications, epitope targets, or preclinical results remain undefined. If OFUT19 targets a novel antigen, its development would follow established antibody engineering workflows:
Epitope Mapping: Identifying conserved regions on the target antigen.
Phage Display/CRISPR Screening: Generating high-affinity clones.
Functional Assays: Assessing neutralization, Fc-mediated effects, and safety in animal models .
Scientific Databases: Search PubMed (e.g., "OFUT19 Antibody") or clinical trial registries (ClinicalTrials.gov) for recent publications.
Antibody Databases: Utilize platforms like Antibody Registry or CiteAb to cross-reference epitope targets.
Industry Sources: Check biotech portals (e.g., BioSpace, Biopharma Reporter) for press releases or pipeline updates.
OFUT19 antibody is a polyclonal antibody developed against Arabidopsis thaliana O-fucosyltransferase 19 (OFUT19), an enzyme involved in protein fucosylation. The target protein (OFUT19, UniProt ID: Q9SH89) is classified as an O-fucosyltransferase family protein that catalyzes the transfer of fucose residues to proteins . This antibody is primarily used in plant biology research for:
Detection of OFUT19 protein expression
Localization studies in plant tissues
Analysis of protein-protein interactions involving OFUT19
Investigation of O-fucosylation pathways in plant development
The antibody specifically recognizes epitopes on the OFUT19 protein and is typically produced in rabbit hosts, making it suitable for various immunological applications in research settings .
Proper validation of OFUT19 antibody specificity is critical for reliable research outcomes. Researchers should implement the following comprehensive validation strategy:
Western Blotting Validation:
Test against wild-type tissues (positive control)
Test against OFUT19 knockout/mutant tissues (negative control)
Confirm single band at expected molecular weight (~EC 2.4.1 family range)
Pre-absorption Tests:
Pre-incubate antibody with purified recombinant OFUT19 protein
Compare staining patterns with and without pre-absorption
Signal should be significantly reduced in pre-absorbed samples
Cross-reactivity Assessment:
Test against closely related O-fucosyltransferase family members (OFUT13, OFUT16)
Establish specificity limits across species if conducting comparative studies
"Always use flow validated antibodies whenever possible. But where to find such information, and why would be it be so important before the experiment starts?" . This principle applies to all antibody work, including with OFUT19 antibody. Validation data should be documented comprehensively before proceeding with experimental applications.
Appropriate controls are fundamental for accurate interpretation of results when using OFUT19 antibody. The following controls should be implemented based on established immunological principles:
| Control Type | Implementation | Purpose |
|---|---|---|
| Unstained Control | Sample processed without any antibody | Detects autofluorescence/endogenous signals |
| Secondary Antibody Only | Sample incubated with secondary antibody only | Assesses non-specific binding of secondary antibody |
| Isotype Control | Non-specific IgG from same host species (rabbit) | Evaluates non-specific binding due to Fc interactions |
| Negative Tissue Control | Tissues from OFUT19 knockout plants | Confirms antibody specificity |
| Peptide Competition | Pre-incubation with immunizing peptide | Validates epitope-specific binding |
"Use an appropriate blocker to mask non-specific binding sites and lower backgrounds to improve the all-important signal-to-noise ratio" . For plant tissues, 3-5% BSA with 0.1% normal serum from the same host species as the secondary antibody (but not rabbit) is recommended for reducing background staining.
OFUT19 antibody can be utilized across multiple experimental platforms, each requiring specific methodological considerations:
Protein extraction using plant-specific buffers containing protease inhibitors
10-12% SDS-PAGE separation
Transfer to nitrocellulose or PVDF membrane (0.45μm)
Blocking with 5% non-fat milk in TBST
Primary antibody dilution: 1:1000-1:2000 (optimize empirically)
Incubation: Overnight at 4°C
Detection: HRP-conjugated anti-rabbit secondary antibody (1:5000)
Fixation: 4% paraformaldehyde in PBS (pH 7.4)
Antigen retrieval: Citrate buffer (pH 6.0), microwave treatment
Blocking: 3% BSA, 5% normal goat serum in PBS
Primary antibody dilution: 1:100-1:500
Incubation: Overnight at 4°C
Detection: Fluorescently-labeled secondary antibody or DAB development
"Know your primary antibody – clonality (monoclonal/polyclonal), what is the host species (important if using secondary antibodies for increased signals), target specificity, purity, cross-reactivity with closely related proteins, and epitope recognition site" .
Sample preparation significantly impacts OFUT19 antibody performance and requires careful attention to preserve both antigen integrity and accessibility:
Fixation Method:
Over-fixation can mask epitopes
Under-fixation can compromise tissue morphology
Recommended: 4% paraformaldehyde, 4-16 hours at 4°C
Permeabilization:
Plant cell walls require additional permeabilization
Options include: 0.1-0.5% Triton X-100, enzymatic digestion with cellulase/pectinase
Duration must be optimized for tissue type
Storage Conditions:
Antigen Retrieval:
Heat-induced epitope retrieval (HIER) using citrate buffer (pH 6.0)
Enzymatic retrieval using proteinase K (1-10 μg/mL)
Method selection depends on fixation duration and tissue type
Sample viability assessment before immunostaining is crucial: "Perform a cell count and viability check before starting with your sample preparation. Dead cells give a high background scatter and may show false positive staining. Ensure that the cell viability is >90%" .
Researchers investigating subcellular localization of OFUT19 can employ several advanced techniques:
Structured Illumination Microscopy (SIM): Achieves 100-120nm resolution
Stimulated Emission Depletion (STED): Reaches 20-50nm resolution
Single Molecule Localization Microscopy (PALM/STORM): Provides 10-20nm precision
Double immunolabeling with OFUT19 antibody and organelle markers
Image acquisition with identical parameters
Quantitative co-localization analysis using:
Pearson's correlation coefficient
Mander's overlap coefficient
Object-based co-localization methods
Immunofluorescence with OFUT19 antibody
Sample processing for EM with gold-conjugated secondary antibodies
Correlation of fluorescence and EM images for precise localization
"It's essential to have the right tools to understand the biology" . These advanced techniques provide researchers with enhanced spatial resolution to precisely determine OFUT19 localization within plant cellular compartments.
When encountering issues with OFUT19 antibody performance, systematic troubleshooting is essential:
| Problem | Potential Causes | Solutions |
|---|---|---|
| No signal | Degraded antibody Insufficient antigen Detection system failure | Check antibody activity with positive control Increase protein loading Verify secondary antibody function |
| Weak signal | Suboptimal antibody concentration Insufficient incubation time Antigen masking | Titrate antibody concentration Extend incubation period Optimize antigen retrieval |
| High background | Insufficient blocking Non-specific binding Excessive antibody concentration | Increase blocking time/concentration Add 0.1% Tween-20 to wash buffer Dilute primary antibody |
| Multiple bands | Cross-reactivity Protein degradation Post-translational modifications | Verify antibody specificity Add protease inhibitors Use phosphatase inhibitors if applicable |
"Antibodies successfully tested on applications such as Western Blotting or Immunohistochemistry may not be suitable for Flow cytometry analysis!" . This principle applies across techniques - validation in one application doesn't guarantee performance in another.
Accurate quantification of OFUT19 expression requires rigorous methodology:
Include concentration gradient of recombinant OFUT19 protein standard
Process experimental samples alongside standards
Use housekeeping proteins (actin, tubulin, GAPDH) as loading controls
Analyze band intensity using densitometry software
Generate standard curve and calculate relative expression
Extract RNA from same samples used for protein analysis
Perform RT-qPCR with OFUT19-specific primers
Calculate correlation between mRNA and protein levels
Assess potential post-transcriptional regulation
When assessing expression across developmental stages, use:
Consistent protein extraction methodology
Equal protein loading confirmed by Bradford assay
Multiple biological and technical replicates
Statistical analysis of quantification data
"To understand a test's accuracy, scientists look at sensitivity and specificity" . These principles apply to OFUT19 quantification as well - researchers should establish the detection limits and dynamic range of their quantification method.
Co-immunoprecipitation (Co-IP) with OFUT19 antibody requires careful optimization:
Lysis Buffer Selection:
Use non-denaturing buffer to preserve protein-protein interactions
Include protease/phosphatase inhibitors
Consider mild detergents (0.5% NP-40 or 1% Triton X-100)
Pre-clearing Step:
Incubate lysate with protein A/G beads
Remove non-specific binding proteins
Reduce background in final results
Antibody Coupling:
Direct coupling to beads prevents heavy chain interference
Use crosslinking reagents (BS3 or DSS)
Alternatively, use antibody isotype not recognized by secondary antibody
Controls:
IgG control from same species
Input sample (5-10% of starting material)
Reverse Co-IP if antibody for interacting protein is available
"The technology used to isolate the antibody, termed Ig-Seq, gives researchers a closer look at the antibody response" . Similarly, optimized Co-IP methods provide clearer insights into OFUT19 protein interactions.
Antibody lot-to-lot variation is a significant challenge requiring systematic investigation:
Document Differences:
Record exact experimental conditions
Note lot numbers and handling differences
Quantify the degree of variation observed
Side-by-Side Comparison:
Run parallel experiments with both lots
Include consistent positive and negative controls
Document all variables kept constant
Epitope Analysis:
Determine if different lots recognize distinct epitopes
Perform epitope mapping if resources allow
Consider if protein modifications might affect recognition
Validation Approaches:
Test with recombinant OFUT19 protein
Verify with genetic approaches (knockdown/knockout)
Consider alternative antibodies from different vendors
"We thought this was an urgent medical need, and the usual supply chains were unreliable, so we decided to build our own" . While this quote refers to COVID-19 testing, the principle applies to antibody research - when commercial reagents show inconsistency, researchers may need to develop in-house validation systems or even generate their own antibodies.
Recent technological innovations offer enhanced detection capabilities for OFUT19 research:
Proximity Ligation Assay (PLA):
Detects protein interactions with single-molecule sensitivity
Visualizes OFUT19 interactions with potential substrates
Generates fluorescent signals only when proteins are <40nm apart
Single-Cell Proteomics:
Mass cytometry (CyTOF) for single-cell protein quantification
Imaging mass cytometry for spatial proteomic analysis
DNA-barcoded antibodies for ultra-high-throughput analysis
Microfluidic Antibody Capture:
Microfluidic devices for automated immunoassays
Reduced sample volume requirements
Higher throughput and reproducibility
Machine Learning Applications:
These technological advances can be applied to OFUT19 research to increase sensitivity, specificity, and throughput of detection methods.
Investigating OFUT19's enzymatic function requires multifaceted experimental approaches:
In Vitro Enzymatic Assays:
Express and purify recombinant OFUT19
Develop fucosyltransferase activity assay with labeled donor substrates
Identify potential protein substrates through candidate approaches
Substrate Identification:
Immunoprecipitate OFUT19 and identify interacting proteins by mass spectrometry
Perform glycoproteomic analysis to identify fucosylated proteins
Compare wild-type and OFUT19 mutant glycoproteomes
Genetic Approaches:
Generate CRISPR/Cas9 knockout or RNAi knockdown lines
Perform phenotypic analysis across developmental stages
Complement with wild-type or catalytically inactive OFUT19
Localization Studies:
Co-localize OFUT19 with Golgi/ER markers
Track movement of fluorescently tagged OFUT19
Correlate localization with protein fucosylation patterns
"This finding tells us that by focusing on antibodies that target these highly conserved sites on the spike protein, there is a way to overcome the virus' continual evolution" . Similarly, focusing on conserved functional domains of OFUT19 may reveal essential roles in plant biology.