The PLAGL2 Antibody, Biotin conjugated is a biotinylated rabbit polyclonal immunoglobulin G (IgG) antibody targeting the pleomorphic adenoma gene-like 2 (PLAGL2) protein. PLAGL2, a zinc finger transcription factor, is implicated in oncogenesis and stem cell maintenance, with roles in promoting epithelial-mesenchymal transition (EMT) and metastasis in cancers such as glioblastoma, colorectal cancer (CRC), and acute myeloid leukemia (AML) . Biotin conjugation enables high-affinity binding to streptavidin, enhancing sensitivity in applications like ELISA, immunohistochemistry (IHC), and proximity-based assays.
Sensitivity: Detects PLAGL2 in low-abundance conditions (e.g., Her2+ cells in complex environments) .
Specificity: Site-specific conjugation minimizes off-target binding, critical for multiplexed assays .
Limitations:
ZBPA Biotinylation: Site-specific labeling of the Fc region avoids Fab interference, enhancing binding affinity .
Lightning-Link: Nonspecific amine/carboxyl conjugation risks cross-reactivity with stabilizing proteins .
ELISA: Recommended dilution: 1:1,000–1:4,000 (WB for unconjugated variants) .
IHC: Requires blocking endogenous biotin (e.g., avidin-biotin blocking kits) .
PLAGL2 (Pleiomorphic adenoma-like protein 2) is a zinc finger protein that shows weak transcriptional activatory activity . This protein, also known by its alias KIAA0198, plays significant roles in epigenetic regulation and nuclear signaling pathways . Research interest in PLAGL2 has grown due to its implications in cellular processes including differentiation, proliferation, and apoptosis. The biotin-conjugated antibody targeting PLAGL2 allows researchers to detect and study this protein in various experimental contexts, particularly useful for investigating transcriptional regulation mechanisms.
The PLAGL2 Antibody (Biotin conjugated) is a polyclonal antibody raised in rabbits against recombinant Human Zinc finger protein PLAGL2 protein (specifically amino acids 324-469) . The antibody has an IgG isotype and is conjugated with biotin, which enhances detection sensitivity through avidin-biotin complexing techniques . The antibody specifically targets human PLAGL2 and is purified using Protein G affinity chromatography to >95% purity . Its functional activity allows for detection of PLAGL2 in experimental settings, primarily validated for ELISA applications . The biotin conjugation enables versatile detection methods including streptavidin-based visualization systems.
Biotin conjugation provides several methodological advantages over other conjugates such as HRP (Horseradish Peroxidase):
| Characteristic | Biotin Conjugated | HRP Conjugated |
|---|---|---|
| Detection System | Requires secondary streptavidin step | Direct enzymatic detection |
| Signal Amplification | High (through avidin-biotin complex) | Moderate |
| Stability | More stable at varying temperatures | Sensitive to heat denaturation |
| Flexibility | Compatible with multiple detection systems | Limited to peroxidase substrates |
| Storage Stability | Maintains activity through freezing cycles | May lose activity with repeated freeze-thaw |
The biotin-conjugated antibody offers superior signal amplification through the strong biotin-streptavidin interaction (Kd ≈ 10^-15 M), making it particularly valuable for detecting low-abundance proteins like transcription factors . This conjugation method also provides more flexibility in experimental design than direct enzyme conjugates.
While the PLAGL2 Antibody, Biotin conjugated has been primarily validated for ELISA applications , researchers can potentially adapt it for other techniques with proper validation:
| Application | Validation Status | Recommended Dilution | Protocol Modifications |
|---|---|---|---|
| ELISA | Validated | Specific dilution must be determined experimentally | Standard protocol applicable |
| Immunohistochemistry | Requires validation | 1:100-1:500 (starting point) | Antigen retrieval optimization required |
| Immunofluorescence | Requires validation | 1:100-1:500 (starting point) | Secondary detection with fluorescent streptavidin |
| Western Blot | Requires validation | 1:1000 (starting point) | Blocking optimization critical |
When adapting this antibody for non-validated applications, thorough controls and optimization steps are essential. For instance, when attempting immunohistochemistry, researchers should test multiple antigen retrieval methods and antibody dilutions to determine optimal signal-to-noise ratios.
For optimal ELISA results with PLAGL2 Antibody, Biotin conjugated, follow this methodological approach:
Plate Coating: Coat microplate wells with target antigen (recombinant PLAGL2 or sample containing PLAGL2) in carbonate buffer (pH 9.6) overnight at 4°C.
Blocking: Block non-specific binding sites with 3-5% BSA in PBST for 1-2 hours at room temperature.
Primary Antibody: Apply diluted PLAGL2 Antibody, Biotin conjugated in blocking buffer. Start with 1:1000 dilution and optimize as needed. Incubate for 2 hours at room temperature.
Detection System: Use streptavidin-HRP (typically 1:5000-1:10000 dilution) for 1 hour at room temperature.
Substrate Development: Add TMB substrate and monitor color development.
Signal Reading: After stopping the reaction with 2N H₂SO₄, read absorbance at 450nm.
Critical optimization parameters include antibody dilution, incubation time, and washing stringency. The buffer composition (0.01M PBS, pH 7.4 with 0.03% Proclin 300 preservative) should be considered when designing experiments to avoid buffer incompatibilities .
Proper storage and handling of PLAGL2 Antibody, Biotin conjugated is crucial for maintaining its activity:
Long-term Storage: Store at -20°C or -80°C in the provided buffer (50% Glycerol, 0.01M PBS, pH 7.4) .
Working Aliquots: Upon receipt, divide into small working aliquots before freezing to avoid repeated freeze-thaw cycles.
Thawing Procedure: Thaw aliquots rapidly at room temperature and place on ice immediately after thawing.
Working Dilution Stability: Diluted antibody should be used within 24 hours and not stored for future use.
Temperature Sensitivity: Avoid elevated temperatures during handling as biotin conjugates can be sensitive to thermal degradation.
Critical note: The manufacturer explicitly warns against repeated freeze-thaw cycles , as each cycle can reduce antibody activity by approximately 10-15%, potentially compromising experimental results.
Validation of antibody specificity is crucial for meaningful experimental outcomes. For PLAGL2 Antibody, Biotin conjugated, implement these validation strategies:
Positive Controls: Use cell lines with known PLAGL2 expression (e.g., HeLa cells) alongside experimental samples.
Negative Controls: Include samples from PLAGL2 knockout systems or cells with siRNA-mediated PLAGL2 knockdown.
Peptide Competition Assay: Pre-incubate antibody with excess immunizing peptide (amino acids 324-469 of human PLAGL2) to confirm binding specificity.
Cross-reactivity Assessment: Test antibody against closely related proteins, particularly PLAG1 and PLAGL1, which share structural similarities with PLAGL2.
Molecular Weight Verification: Confirm detection at the expected molecular weight (approximately 60-65 kDa for human PLAGL2).
Remember that this antibody was raised against human PLAGL2 (324-469AA) , so validation is particularly important when studying non-human samples or when examining full-length protein interactions.
PLAGL2 functions within complex epigenetic and nuclear signaling networks , requiring specialized experimental design:
Chromatin Immunoprecipitation (ChIP) Adaptations:
For biotin-conjugated antibodies in ChIP, use streptavidin-based magnetic beads
Implement stringent blocking with free biotin in nuclear lysates to prevent endogenous biotin interference
Consider sequential ChIP to identify PLAGL2 co-regulators
Transcriptional Activity Assessment:
Combine PLAGL2 detection with RNA polymerase II co-localization studies
Implement genome-wide approaches like ChIP-seq with biotin-based pull-down systems
Correlate PLAGL2 binding with histone modification patterns (H3K4me3, H3K27ac)
Protein-Protein Interaction Studies:
Use proximity ligation assays with the biotin-conjugated antibody
Implement RIME (Rapid Immunoprecipitation Mass spectrometry of Endogenous proteins) with streptavidin pull-down
Consider BiFC (Bimolecular Fluorescence Complementation) to visualize interactions in living cells
The weak transcriptional activatory activity of PLAGL2 suggests it may function within larger multiprotein complexes, necessitating careful experimental design to capture these interactions.
Studying PLAGL2 post-translational modifications (PTMs) requires specialized protocols when using biotin-conjugated antibodies:
PTM-specific Detection Strategy:
Two-step detection: First use PLAGL2 Antibody, Biotin conjugated to capture total PLAGL2
Then probe with modification-specific antibodies (phospho, acetylation, SUMOylation)
Mass Spectrometry Workflow:
Streptavidin pull-down of biotin-labeled PLAGL2
On-bead digestion to preserve labile modifications
Titanium dioxide enrichment for phosphopeptides
Analysis by LC-MS/MS with electron transfer dissociation for precise modification mapping
Functional Impact Assessment:
Correlation of PTM status with PLAGL2 localization (nuclear vs. cytoplasmic)
Examination of PTM changes during cell cycle progression
Analysis of modification-dependent protein-protein interactions
This methodological approach addresses the significant technical challenge of simultaneously detecting a specific protein and its modifications when working with conjugated primary antibodies.
Researchers frequently encounter these technical issues when working with PLAGL2 Antibody, Biotin conjugated:
When troubleshooting, implement systematic changes to one variable at a time while maintaining appropriate controls. Document all optimization steps carefully for reproducibility and method reporting.
When adapting the PLAGL2 Antibody, Biotin conjugated from its validated ELISA application to other techniques, follow these methodological transitions:
From ELISA to Western Blotting:
Increase antibody concentration 2-3 fold from ELISA working dilution
Extend primary antibody incubation to overnight at 4°C
Use milk-free blocking buffer (BSA-based) to prevent biotin-milk protein interactions
Implement streptavidin-HRP detection with enhanced chemiluminescence
From ELISA to Immunofluorescence:
Optimize fixation method (4% paraformaldehyde typically works best)
Test multiple antigen retrieval methods (citrate, EDTA, Tris)
Use fluorophore-conjugated streptavidin (Alexa Fluor 488/555/647)
Include Sudan Black B treatment to reduce autofluorescence
From ELISA to Flow Cytometry:
Increase antibody concentration 5-10 fold from ELISA working dilution
Extend incubation time (45-60 minutes)
Use saponin-based permeabilization for intracellular PLAGL2 detection
Implement multi-parameter analysis to correlate PLAGL2 with other markers
Document all optimization steps methodically, as the transition process itself generates valuable protocol information for the research community.
When using PLAGL2 Antibody, Biotin conjugated for transcriptional regulation studies, implement these advanced control experiments:
Functional Validation Controls:
PLAGL2 overexpression vs. knockdown/knockout gene expression profiles
Rescue experiments with wild-type vs. mutant PLAGL2
Correlation of PLAGL2 binding with actual transcriptional output
Interaction Specificity Controls:
Sequential ChIP with other transcription factors
Competitive binding assays with known PLAGL2 binding partners
DNA-protein interaction validation using EMSA with supershift
Context-dependent Regulation Controls:
Cell cycle synchronization to assess phase-specific functions
Stimulation/inhibition of relevant signaling pathways
Comparison across multiple cell types with varying PLAGL2 expression levels
These controls address the challenge of distinguishing direct PLAGL2 effects from indirect consequences of experimental manipulation, particularly important given its weak transcriptional activatory properties .
The PLAGL2 Antibody, Biotin conjugated has significant potential in emerging methodologies:
Spatial Transcriptomics Applications:
Integration with Visium or Slide-seq platforms for spatial mapping of PLAGL2 activity
Correlation of PLAGL2 localization with zone-specific gene expression patterns
Development of multiplex imaging with other epigenetic regulators
Single-Cell Applications:
Adaptation for CyTOF (mass cytometry) using metal-tagged streptavidin
Implementation in single-cell Western blotting platforms
Development of PLAGL2 activity sensors for live-cell imaging
Multi-omics Integration:
Correlation of PLAGL2 binding sites (ChIP-seq) with chromatin accessibility (ATAC-seq)
Integration with RNA-seq to create comprehensive regulatory networks
Combination with proteomics to map PLAGL2-dependent protein expression changes
These emerging methodologies would benefit from the signal amplification properties of biotin-conjugated antibodies, particularly for detecting low-abundance transcription factors like PLAGL2 in spatially resolved or single-cell contexts .
Studying PLAGL2 across diverse model systems requires careful methodological adaptation:
| Model System | Key Considerations | Recommended Approaches |
|---|---|---|
| Human Cell Lines | High specificity expected | Direct application; include isotype controls |
| Mouse Models | Potential cross-reactivity | Validate with mouse PLAGL2 knockout controls |
| Patient Samples | Variable expression | Use tissue microarrays for standardization |
| Developmental Models | Dynamic expression | Temporal sampling; compare to developmental markers |
| Disease Models | Altered regulation | Paired normal-disease sample analysis |
Since the antibody was developed against human PLAGL2 (324-469AA) , cross-species applications require rigorous validation. When working with non-human systems, researchers should first perform Western blot analysis to confirm appropriate recognition of the target protein at the expected molecular weight before proceeding to more complex applications.
Computational approaches can significantly enhance PLAGL2 research:
Prediction-Validation Pipeline:
Use computational prediction of PLAGL2 binding motifs
Validate predictions experimentally using PLAGL2 Antibody, Biotin conjugated
Refine algorithms based on experimental results
Network Analysis Integration:
Map PLAGL2 to broader epigenetic regulation networks
Identify potential co-factors through interactome analysis
Predict functional outcomes of PLAGL2 binding
Image Analysis Optimization:
Develop machine learning algorithms for automated PLAGL2 localization
Implement nuclear segmentation for quantitative analysis
Create computational workflows for co-localization studies
Multi-omics Data Integration:
Correlate PLAGL2 binding patterns with histone modifications
Integrate with transcriptomic data to build regulatory models
Develop predictive models of PLAGL2-dependent phenotypes