LEO1 Antibody, Biotin Conjugated refers to a polyclonal antibody raised against the LEO1 protein (UniProt ID: LEO1_HUMAN) and chemically linked to biotin. Key characteristics include:
The antibody is generated through:
Immunogen Design: A synthesized peptide corresponding to residues 159–209 of human LEO1 .
Biotinylation: Achieved using kits that activate biotin for efficient conjugation to antibodies. Typical protocols involve:
Quality Control: Validated via WB (showing a 105 kDa band) and ELISA (detection limits: 2,000–20,000 dilutions) .
LEO1 is a core component of the PAF1 complex, which regulates RNA polymerase II activity and histone modifications . The biotin conjugate facilitates:
Chromatin immunoprecipitation (ChIP) to map LEO1’s binding sites .
Co-immunoprecipitation (Co-IP) to study interactions with partners like KMT2A/MLL1 .
Cancer: LEO1 supports leukemogenesis via KMT2A/MLL1 fusion proteins .
Neurodegeneration: Implicated in transcriptional dysregulation in C9orf72-associated FTD .
Leukemia Mechanisms: Demonstrated LEO1’s role in maintaining MLL1-rearranged oncoprotein activity .
Stem Cell Pluripotency: Identified LEO1 as critical for embryonic stem cell self-renewal via H3K4me3 modulation .
Viral Interactions: Revealed PAF1C-NS1 protein interactions in influenza H3N2 transcription .
LEO1 (RNA polymerase-associated protein LEO1) is a 666 amino acid protein belonging to the LEO1 family. It functions as a critical component of the PAF1 complex (PAF1C), which plays multiple roles during transcription by RNA polymerase II and is implicated in regulating development and maintaining embryonic stem cell pluripotency .
While LEO1's calculated molecular weight is approximately 75 kDa, it typically appears at around 105 kDa in Western blots due to post-translational modifications . The protein is encoded by the LEO1 gene (Gene ID: 123169) , making it an important target for research in gene expression regulation and developmental biology.
LEO1 antibodies are available in various formats with detailed molecular information:
| Property | Details |
|---|---|
| UniProt ID | Q8WVC0 |
| GenBank Accession | BC018147 |
| Gene Symbol | LEO1 |
| Gene ID (NCBI) | 123169 |
| Calculated MW | 666 aa, 75 kDa |
| Observed MW | 105 kDa |
| RRID | AB_10640429 (for catalog #12281-1-AP) |
This molecular information provides the foundation for research targeting LEO1 in various experimental systems and validates the specificity of antibodies used in research applications.
Biotin conjugation significantly enhances antibody functionality through multiple mechanisms:
Biotin, a small vitamin molecule, has an extremely high affinity for streptavidin and avidin proteins. In antibody applications, biotin is typically conjugated to primary amines (lysine residues) on the antibody molecule . Typically, 3-8 biotin molecules are incorporated per antibody , creating multiple binding sites for detection reagents.
This conjugation creates a powerful amplification system when used with streptavidin-linked reporter molecules (enzymes, fluorophores, or quantum dots). As noted in recent research, "biotin-labeled antibodies, often paired with streptavidin-HRP or AP, are used by researchers in ELISA, Western blotting, and immunohistochemistry" .
The biotin-streptavidin system provides several advantages:
Significantly enhanced sensitivity for detecting low-abundance targets
Versatility across multiple detection platforms
Compatibility with various amplification strategies
Stable binding that withstands stringent washing conditions
This amplification capability makes biotin-conjugated antibodies particularly valuable for detecting proteins like LEO1 that may be expressed at relatively low levels in certain cell types or tissues.
Based on the manufacturer's recommendations and experimental validation data, the optimal dilution ranges for biotin-conjugated LEO1 antibodies vary by application:
For optimal results, researchers should perform titration experiments with positive controls (e.g., HeLa cells, Jurkat cells, mouse brain tissue) to determine the ideal working concentration for their specific experimental setup. The dilution producing the highest signal-to-noise ratio while minimizing background should be selected.
As noted in product documentation: "It is recommended that this reagent should be titrated in each testing system to obtain optimal results" .
Preparing a custom biotin-conjugated LEO1 antibody from an unconjugated antibody involves several critical steps:
Materials required:
Purified LEO1 antibody (concentration ≥2 mg/ml recommended)
NHS-Biotin or Sulfo-NHS-Biotin reagent
Amine-free buffer (PBS pH 7.4)
Desalting column (50 kDa cutoff)
Storage buffer components
Procedure:
Antibody preparation:
Conjugation reaction:
Purification:
Storage:
For researchers requiring simplified workflows, commercial biotinylation kits like the LYNX Rapid Plus Biotin Antibody Conjugation Kit provide pre-optimized reagents and protocols .
First-time users should prepare a range of conjugates with varying biotin:antibody ratios and test each for optimal performance in their specific application.
Proper storage and handling are essential for maintaining the functionality of biotin-conjugated LEO1 antibodies:
Storage conditions:
Avoid repeated freeze-thaw cycles by preparing small, single-use aliquots
Most products remain stable for one year after shipment when stored properly
Buffer composition:
Handling recommendations:
Thaw frozen aliquots completely before use
Briefly centrifuge vials before opening to collect contents
Keep on ice when working with diluted antibody solutions
Return to -20°C immediately after use
For working solutions, short-term storage (up to one week) at 4°C is acceptable
Protect biotinylated antibodies from strong light exposure
Following these guidelines will help maintain antibody performance and extend shelf life, ensuring reproducible results across experiments.
Rigorous validation is essential for ensuring the specificity of biotin-conjugated LEO1 antibodies. A comprehensive validation approach should include:
1. Positive and negative control samples:
Positive controls: Test with samples known to express LEO1, such as HeLa, Jurkat, MCF-7, HEK-293, HepG2, or A549 cells
Negative controls: Use LEO1 knockdown/knockout cells or tissues
Multiple sample types: Test across human, mouse, and rat samples if antibody is reported to cross-react with these species
2. Western blot verification:
Confirm band at the expected molecular weight (~105 kDa, despite calculated MW of 75 kDa)
Compare with unconjugated LEO1 antibody to ensure biotinylation hasn't altered specificity
Use multiple antibodies targeting different epitopes of LEO1
3. Competitive inhibition:
Pre-incubate antibody with immunogen peptide (if available)
Observe elimination of specific signal in peptide-blocked samples
4. Cross-platform validation:
Verify consistent staining patterns across multiple techniques (WB, IHC, IF)
For IHC, confirm appropriate cellular/subcellular localization pattern
Compare results with published literature on LEO1 expression and localization
5. Technical controls:
Include streptavidin-only controls (no primary antibody)
Use isotype control antibodies with biotin conjugation
Include endogenous biotin blocking steps to eliminate non-specific binding
The validation process should be systematic and well-documented, with results compared against known biological characteristics of LEO1 as a component of the PAF1 complex involved in transcriptional regulation.
High background is a common challenge when using biotin-conjugated antibodies. Researchers can implement several methodological solutions:
1. Address endogenous biotin interference:
Endogenous biotin in tissues can bind directly to streptavidin detection reagents
Implement avidin/biotin blocking kit before primary antibody application
For severe cases, consider using a biotin-free detection system as an alternative
2. Optimize antibody concentration:
Perform careful titration experiments to determine minimal effective concentration
Start with higher dilutions (1:500 for IHC, 1:2000 for WB) and adjust as needed
Balance signal strength with background reduction
3. Enhance blocking protocols:
Extend blocking time to 1-2 hours at room temperature
Try different blocking agents (BSA, normal serum, commercial blockers)
Include 0.1-0.3% Triton X-100 in antibody diluent to reduce non-specific binding
4. Modify washing procedures:
Increase number and duration of wash steps
Add 0.05-0.1% Tween-20 to wash buffers
Use TBS instead of PBS for washing if phosphate interferes with detection
5. Optimize antigen retrieval:
Test both recommended retrieval methods: TE buffer pH 9.0 and citrate buffer pH 6.0
Adjust retrieval duration and temperature
Include a cool-down period after retrieval
6. Refine detection system:
Dilute streptavidin-conjugated detection reagent further
Consider alternative streptavidin conjugates (HRP vs. AP)
Use detection systems with lower background characteristics
7. Modify incubation conditions:
Incubate primary antibody at 4°C overnight instead of at room temperature
Use humidity chambers to prevent section drying
Include carrier proteins in antibody diluent
Through systematic optimization of these parameters, researchers can significantly improve signal-to-noise ratio when working with biotin-conjugated LEO1 antibodies.
Precise quantification of biotin incorporation is essential for consistent experimental results. Researchers can employ several methodological approaches:
1. Spectrophotometric Analysis:
Perform non-destructive UV scan (220-400 nm) of the biotinylated antibody
Calculate the biotin-to-protein ratio using established extinction coefficients
Optimal conjugation typically shows 3-8 biotin molecules per antibody
2. Competitive Binding Assay:
As described in recent literature, use a competitive biotin-streptavidin reaction methodology
Employ a reference antibody dually labeled with biotin and electrochemiluminescent (ECL) luminophores
The reference and test antibodies compete for streptavidin binding sites on magnetic beads
ECL signal strength correlates inversely with biotinylation degree of test antibody
This approach provides functional assessment rather than just molecular counting
3. HABA Assay:
Based on displacement of 4'-hydroxyazobenzene-2-carboxylic acid (HABA) from avidin
Measure absorbance decrease at 500 nm as biotin displaces HABA
Calculate molar ratio by comparing to protein concentration
4. Lot-to-Lot Comparison:
When evaluating new batches, compare biotinylation levels to reference standards
As noted in published research: "The validation experiments and aforementioned proof-of-concept experiments establish the applicability of the method"
Document biotinylation degree for each batch to ensure experimental reproducibility
The optimal degree of biotinylation balances detection sensitivity with antibody functionality - too few biotin molecules reduces sensitivity, while excessive biotinylation can alter antibody binding characteristics and lead to aggregation.
Batch-to-batch variation can significantly impact experimental reproducibility. Researchers should implement rigorous characterization methods:
1. Functional Binding Capability Assessment:
Employ the competitive biotin-streptavidin binding methodology described in recent literature
This approach evaluates the actual binding capability rather than just molecular counts
Analyze competition curves to detect subtle variations between lots
As noted in research: "The slightly deviating curve of lot 1 indicates a slightly stronger biotin–streptavidin competition and, thus, a higher degree of biotinylation"
2. Direct Performance Comparison:
Run parallel experiments with both old and new lots using identical conditions
Include consistent positive controls (e.g., HeLa cells for LEO1 detection)
Compare signal intensity, specificity, background, and reproducibility
Document performance metrics for future reference
3. Analytical Characterization:
Perform spectrophotometric analysis to determine biotin incorporation level
Compare protein concentration and biotin:protein ratios between batches
Assess physical characteristics like aggregation tendency and stability
4. Application-Specific Testing:
Evaluate each new lot in the specific application(s) where it will be used
For WB: Compare band intensity and specificity at fixed protein loading
For IHC/IF: Compare staining patterns, intensity, and background
For ELISA: Generate standard curves with both lots and compare sensitivity/dynamic range
5. Standardization Approach:
Maintain reference material from well-characterized lots
Use internal standards for normalization across experiments
Document lot-specific optimal working dilutions
As emphasized in published research: "Whether or not the three lots are acceptable from the quality control point of view depends on the setup of a standard, which is based on the specific needs of a researcher" . Establishing clear acceptance criteria based on research requirements is essential for maintaining experimental consistency.
Multiplex immunofluorescence with biotin-conjugated LEO1 antibodies requires careful experimental design:
1. Panel Design Considerations:
Position biotin-streptavidin detection strategically within multiplex panel
Reserve biotin-conjugated LEO1 antibody for targets requiring signal amplification
Select streptavidin conjugates with minimal spectral overlap with other fluorophores
Consider using LEO1 antibody in the near-infrared channel if available
2. Sequential Staining Strategy:
Apply biotinylated LEO1 antibody and streptavidin detection first
Block remaining biotin binding sites (with unconjugated streptavidin or free biotin)
Proceed with directly labeled antibodies for other targets
This approach minimizes cross-reactivity between detection systems
3. Endogenous Biotin Management:
Implement avidin/biotin blocking before applying any biotinylated antibodies
Particularly critical for biotin-rich tissues (liver, kidney, adipose tissue)
Consider tissue-specific optimization of blocking protocols
4. Signal Balancing:
Adjust biotin-conjugated LEO1 antibody concentration to match signal intensity with other targets
Biotin-streptavidin amplification may create signal imbalance with directly labeled antibodies
Optimize exposure settings for each channel during image acquisition
5. Validation Controls:
Include single-staining controls for each antibody in the panel
Perform fluorescence-minus-one (FMO) controls to assess spectral overlap
Test for potential cross-interactions between detection systems
This methodological approach enables successful integration of biotin-conjugated LEO1 antibodies into complex multiplex panels while maintaining specificity and quantitative accuracy.
While standard LEO1 antibodies have been validated for applications including WB, IHC, and IP , optimizing biotin-conjugated versions for chromatin immunoprecipitation (ChIP) requires specific considerations:
1. Pre-Clearing Strategy:
Implement rigorous pre-clearing with streptavidin beads before immunoprecipitation
This removes materials with non-specific affinity for streptavidin
Include appropriate blocking agents (BSA, salmon sperm DNA) to reduce background
2. Antibody Titration:
Test multiple antibody concentrations (2-8 μg per reaction)
For IP applications, manufacturer data suggests using 2-8 μg/mg lysate
Optimize for maximum signal-to-noise ratio with minimal antibody consumption
3. Streptavidin Bead Selection:
Use magnetic streptavidin beads for better recovery and handling
Pre-block beads to minimize non-specific binding
Consider bead capacity when calculating optimal antibody amounts
4. Buffer Optimization:
Test different salt concentrations in wash buffers to balance specificity and yield
Include detergents at appropriate concentrations to reduce background
Consider adding competitors for non-specific interactions
5. Elution Strategy Development:
The exceptionally strong biotin-streptavidin interaction presents unique challenges
Test competitive elution with excess free biotin
Consider harsh elution conditions (e.g., high temperature in SDS) if necessary
For DNA analysis, direct PCR from bead-bound complexes may be most efficient
6. Validation Approach:
Compare to results using non-biotinylated LEO1 antibodies
Perform ChIP-qPCR on known LEO1-associated genomic regions
Include appropriate controls (IgG, input, non-specific genomic regions)
This systematic optimization strategy enables researchers to leverage biotin-conjugated LEO1 antibodies for chromatin studies despite the inherent challenges of the biotin-streptavidin system in ChIP applications.
The choice between horseradish peroxidase (HRP) and alkaline phosphatase (AP) detection systems with biotin-conjugated LEO1 antibodies depends on multiple experimental factors:
1. Sensitivity Requirements:
| Parameter | Streptavidin-HRP | Streptavidin-AP |
|---|---|---|
| Detection Limit | Excellent with chemiluminescent substrates | Good, can be enhanced with extended development |
| Signal Development Speed | Rapid (minutes) | Slower (10-30 minutes) |
| Signal Stability | Short-lived with chemiluminescent substrates | Longer-lasting, stable signal |
| Amplification Potential | Excellent with tyramide amplification | Good with BCIP/NBT substrates |
2. Application-Specific Considerations:
| Application | Preferred System | Rationale |
|---|---|---|
| Western Blot | Streptavidin-HRP | Faster development, better with chemiluminescent detection |
| IHC (Permanent) | Streptavidin-AP | Creates permanent, stable precipitate |
| ELISA | Either (HRP more common) | Both provide good sensitivity |
| Multiplex IF | Depends on other fluorophores | Choose based on spectral compatibility |
3. Sample-Specific Factors:
For tissues with high endogenous peroxidase activity: Consider streptavidin-AP
For tissues with high endogenous phosphatase activity: Consider streptavidin-HRP
For tissues with high biotin content: Additional blocking steps needed regardless of enzyme choice
4. Practical Laboratory Considerations:
Available detection instruments (e.g., chemiluminescent imagers)
Substrate availability and cost
Experience with specific detection systems
As noted in recent research, "biotin-labeled antibodies, often paired with streptavidin-HRP or AP, are used by researchers in ELISA, Western blotting, and immunohistochemistry" . The optimal choice should be determined based on specific experimental requirements, sample characteristics, and available detection systems.
Recent technological advances have expanded the utility of biotin-conjugated antibodies in single-cell analysis techniques:
1. Antibody-Oligonucleotide Conjugates for CITE-seq:
Biotin-streptavidin linkage enables creation of antibody-oligonucleotide conjugates for single-cell applications
As described in recent protocols: "For experiments involving conjugation via a streptavidin-biotin-linkage, we therefore recommend simply ordering biotinylated oligos"
This approach enables simultaneous protein and RNA profiling at single-cell resolution
Biotinylated antibodies serve as the foundation for creating these advanced reagents
2. Protocol Optimization for Single-Cell Applications:
Specialized conjugation protocols have been developed for single-cell applications
Methodology includes: "Merge streptavidin-antibodies with biotinylated-oligos in PBS/0.5M NaCl"
Each antibody can be labeled with "~2 streptavidin molecules" which can bind "800pmol (biotin binding sites)"
This approach enables multiplexed protein detection in single-cell RNA sequencing experiments
3. Panel Design for Single-Cell Protein Profiling:
For single-cell applications: "Make antibody panel by pooling all streptavidin-biotin antibodies"
Use "1-2 μg of each antibody-oligo complex, comparable to what is recommended for flow cytometry per test"
Special consideration for biotin blocking: "Add 2 μl of 10 mM biotin to block unoccupied biotin-binding sites"
4. Technical Challenges and Solutions:
Biotin-streptavidin antibody-oligo conjugates require special storage: "have to be stored separately and should only be pooled shortly before the run"
Purification is essential: "clean pooled panel on 50kDa cutoff column per manufacturer's protocol to remove unbound oligos shortly before CITE-seq run"
These innovations represent the cutting edge of biotin-conjugated antibody applications, enabling integration of protein detection (including LEO1) with genomic and transcriptomic analysis at single-cell resolution.
When selecting a biotin-conjugated LEO1 antibody for research, researchers should consider:
Application compatibility: Verify validation data for your specific application (WB, IHC, IF, ELISA)
Species reactivity: Confirm reactivity with your experimental system (human, mouse, rat)
Epitope information: Consider antibody epitope location within LEO1 protein:
Validation data: Review available validation data showing specificity in relevant cell lines:
Biotin conjugation quality: Consider degree of biotinylation (optimal range: 3-8 biotin molecules per antibody)
Format and storage: Evaluate buffer composition, concentration, and stability:
Technical support: Consider manufacturer's technical resources and application support
Through careful evaluation of these parameters, researchers can select the biotin-conjugated LEO1 antibody most likely to yield successful results in their specific experimental system.
Ensuring reproducibility with biotin-conjugated LEO1 antibodies requires systematic approaches:
Detailed record-keeping:
Standardized validation:
Quantitative batch comparison:
Implement functional comparison between lots using competitive binding assays
As noted in research: "It is worth noting that the ECL detection is a highly sensitive technique... but the high sensitivity or very low limit of detection methodology is not a prerequisite for this type of application"
Document optimal working dilutions for each lot and application
Optimized handling and storage:
Comprehensive controls:
Include positive and negative controls in each experiment
Use isotype controls for background assessment
Implement biotin blocking controls to account for endogenous biotin
Application-specific optimization:
Determine optimal working concentration for each application
Document optimized protocols for specific sample types
Consider sample-specific factors (fixation, processing methods)