ENPP7 Antibody, Biotin conjugated is a rabbit-derived immunoglobulin G (IgG) chemically linked to biotin. It targets human ENPP7 (ectonucleotide pyrophosphatase/phosphodiesterase 7), an enzyme encoded by the ENPP7 gene (UniProt ID: Q6UWV6) . ENPP7 catalyzes:
Conversion of sphingomyelin to ceramide
Phospholipase C activity toward palmitoyl lyso-phosphocholine .
The biotin conjugation allows this antibody to bind streptavidin-enzyme complexes (e.g., HRP-streptavidin), facilitating signal amplification in assays like ELISA .
The antibody shows no cross-reactivity with 38 tested human proteins, including ANGPTL7, CD36, and GDF-11, confirming high target specificity .
Validation data from spike-and-recovery experiments:
| Sample Type | Average Recovery (%) | Range (%) |
|---|---|---|
| Cell Culture Supernatants | 81 | 76–83 |
| Plasma | 86 | 79–92 |
| Serum | 88 | 84–93 |
Linearity tests demonstrated 91–104% accuracy across serial dilutions .
In a typical ELISA protocol:
Coating: Anti-ENPP7 antibody immobilizes ENPP7 from samples.
Detection: Biotin-conjugated ENPP7 antibody binds captured antigen.
Signal Amplification: HRP-streptavidin binds biotin, enabling colorimetric detection via TMB substrate .
ENPP7 (Ectonucleotide pyrophosphatase/phosphodiesterase family member 7) is a crucial enzyme involved in sphingolipid metabolism. This protein functions primarily to convert sphingomyelin to ceramide and has phospholipase C activity toward palmitoyl lyso-phosphocholine. Unlike other ENPP family members, ENPP7 does not appear to have nucleotide pyrophosphatase activity .
ENPP7 is also known by several alternative names:
E-NPP 7
NPP-7
Alkaline sphingomyelin phosphodiesterase
Intestinal alkaline sphingomyelinase (Alk-SMase)
The enzyme plays a significant role in sphingomyelin digestion, ceramide formation, and fatty acid absorption in the gastrointestinal tract, making it a valuable target for studying lipid metabolism and related disorders .
Biotin-conjugated ENPP7 antibodies have biotin molecules chemically attached to the antibody structure, while unconjugated antibodies lack this modification. This conjugation provides several distinct advantages:
| Feature | Biotin-Conjugated | Unconjugated |
|---|---|---|
| Detection system | Compatible with avidin/streptavidin detection systems | Requires secondary antibody for detection |
| Signal amplification | Enhanced signal through avidin-biotin interactions | Limited to standard antibody detection |
| Versatility | Can be used with various avidin-conjugated detection molecules (HRP, fluorophores) | Limited by available secondary antibodies |
| Application suitability | Optimal for ELISA, immunohistochemistry | Broader application range |
The biotin-conjugated format is specifically designed for use with detection systems involving streptavidin or avidin conjugated to enzymes like horseradish peroxidase (HRP), making them particularly valuable for ELISA applications .
Based on the available information, ENPP7 Antibody, Biotin conjugated is primarily recommended for ELISA applications . This conjugation format is specifically designed to work with:
Sandwich ELISA techniques
Colorimetric assays using HRP-conjugated avidin/streptavidin
Applications requiring sensitive detection of ENPP7 in various sample types
The antibody has been tested with human samples, but may potentially work with other species depending on sequence homology. While ELISA is the primary validated application, related applications that utilize the biotin-avidin system might also be compatible .
For maximum stability and activity retention, ENPP7 Antibody, Biotin conjugated should be stored according to these specifications:
Temperature: Store at 4°C upon receipt
Buffer composition: 50% Glycerol, 0.01M PBS, pH 7.4
Preservative: Contains 0.03% Proclin 300 to prevent microbial growth
Aliquoting: For long-term storage, divide into small aliquots to avoid repeated freeze-thaw cycles
Avoid: Extended exposure to room temperature, direct light, and contamination
Following these storage guidelines will help maintain antibody activity and specificity for an extended period.
Optimizing ELISA sensitivity with biotin-conjugated ENPP7 antibodies requires careful attention to several experimental parameters:
Antibody concentration optimization:
Perform titration experiments with 2-fold serial dilutions of the biotin-conjugated antibody
Determine the optimal concentration that provides maximum signal with minimal background
Typical starting concentrations range from 1-5 μg/ml
Blocking optimization:
Detection system enhancement:
Use high-sensitivity streptavidin-HRP conjugates
Optimize streptavidin-HRP concentration through titration
Consider amplification systems like tyramide signal amplification for ultra-sensitive detection
Substrate selection:
Sample preparation refinement:
Optimize lysis buffers to maximize ENPP7 extraction while preserving epitope integrity
Consider using phosphatase inhibitors if phosphorylation state is important
These optimizations can potentially improve sensitivity by 2-10 fold compared to standard protocols.
Validating antibody specificity is critical for reliable experimental results. For ENPP7 Antibody, Biotin conjugated, consider these validation approaches:
Cross-reactivity testing against related proteins:
Immunodepletion studies:
Pre-incubate the antibody with recombinant ENPP7 protein
Compare signals between depleted and non-depleted antibody
Specific antibodies will show significant signal reduction after depletion
Competition ELISA:
Knockout/knockdown validation:
Test antibody on samples from ENPP7 knockout models or cells with ENPP7 knockdown
True-specific antibodies will show absence or reduction of signal
Biolayer interferometry validation:
Thorough validation using multiple approaches provides confidence in antibody specificity and experimental results.
Developing a robust sandwich ELISA for ENPP7 requires careful selection and optimization of capture and detection antibodies. Here's a methodological approach:
Components selection:
Capture antibody: Use an unconjugated ENPP7 antibody recognizing a different epitope
Detection antibody: Use the biotin-conjugated ENPP7 antibody
Detection system: High-sensitivity streptavidin-HRP conjugate
Standard: Recombinant human ENPP7 protein for calibration curve
Protocol optimization:
Pre-coat 96-well plates with capture antibody (typically 1-5 μg/ml) overnight at 4°C
Block plates using appropriate blocking buffer (e.g., 5% milk or BSA) for 1-2 hours
Add samples and standards, incubate for 1-2 hours at room temperature
Add biotin-conjugated ENPP7 antibody, incubate for 1 hour
Add streptavidin-HRP, incubate for 30-60 minutes
Add TMB substrate, develop color, and stop reaction with acidic stop solution
Validation parameters:
Determine detection range (typical range: 0.156-10 ng/ml based on similar assays)
Establish sensitivity (aim for <0.05 ng/ml as seen in similar assays)
Assess intra-assay and inter-assay variability (CV% should be <10% and <15% respectively)
Evaluate recovery in different sample matrices (serum, tissue homogenates)
Sample considerations:
This methodological approach should yield a sensitive and specific sandwich ELISA for ENPP7 quantification.
When encountering poor signal-to-noise ratios with biotin-conjugated ENPP7 antibodies, systematic troubleshooting can identify and resolve issues:
| Problem | Potential Causes | Solutions |
|---|---|---|
| High background | Insufficient blocking | Extend blocking time or try alternative blocking agents (BSA, casein, commercial blockers) |
| Cross-reactivity | Increase washing stringency; add 0.05% Tween-20 to wash buffers | |
| Contaminated reagents | Use fresh reagents; filter buffers | |
| Low signal | Antibody degradation | Check storage conditions; use fresh aliquot |
| Insufficient antigen | Increase sample concentration or adjust lysis method | |
| Inappropriate detection system | Optimize streptavidin-HRP concentration; try amplification systems | |
| Inconsistent replicates | Pipetting errors | Use calibrated multichannel pipettes; check technique |
| Temperature variations | Maintain consistent temperature during incubations | |
| Poor washing | Ensure complete aspiration between wash steps |
Advanced troubleshooting approaches:
Titration matrix:
Systematically vary both capture and detection antibody concentrations
Create a matrix of results to identify optimal signal-to-noise conditions
Buffer optimization:
Test different assay buffers (PBS vs. TBS)
Evaluate the effect of additives like BSA, Tween-20, or carrier proteins
Incubation parameter adjustments:
Systematic troubleshooting typically identifies the root cause and leads to improved assay performance.
ENPP7 plays a critical role in sphingolipid metabolism, and biotin-conjugated ENPP7 antibodies offer several methodological approaches for studying this pathway:
Quantitative analysis of ENPP7 expression:
Correlation studies with enzymatic activity:
Measure ENPP7 protein levels using the antibody in ELISA
In parallel, assess sphingomyelinase activity using enzymatic assays
Correlate protein expression with enzymatic function across samples
Co-localization studies:
Use biotin-conjugated ENPP7 antibody with streptavidin-fluorophore conjugates
Combine with markers of cellular compartments or lipid domains
Analyze the spatial relationship between ENPP7 and its substrates or products
Investigation of disease-related alterations:
Quantify ENPP7 in models of disorders affecting sphingolipid metabolism
Compare ENPP7 levels in normal versus pathological samples
Correlate ENPP7 expression with ceramide levels and downstream signaling events
Methodological approach for pathway analysis:
These approaches provide valuable insights into the complex regulation of sphingolipid metabolism and its implications in health and disease.
Several methods can be employed for biotin conjugation of ENPP7 antibodies, each with distinct advantages:
NHS-ester biotinylation:
Most common method using N-hydroxysuccinimide (NHS) ester derivatives of biotin
Reacts with primary amines on antibody lysine residues
Typically results in multiple biotin molecules per antibody
Commercial kits available (e.g., from Abcam mentioned in search result )
Protocol: Incubate antibody with NHS-biotin at optimal molar ratio, purify by dialysis or gel filtration
Site-specific conjugation strategies:
Targets specific sites on antibodies using engineered cysteines
Results in more homogeneous conjugates with defined biotin:antibody ratios
Maintains antibody orientation and binding capacity
Protocol: Reduce antibody disulfide bonds, conjugate with maleimide-activated biotin reagents
Enzymatic biotinylation:
Uses biotin ligase (BirA) to add biotin to specific recognition sequences
Highly specific with controlled stoichiometry
Requires engineering of recognition sequence into antibody
Protocol: Express antibody with AviTag™, enzymatically biotinylate using BirA and biotin
Each method affects antibody activity differently, and selection should be based on the intended application.
The biotin:antibody ratio significantly impacts detection sensitivity and specificity. Here's a methodological approach to optimize this ratio:
Preparation of conjugates with varying ratios:
Create a series of conjugates with different molar excesses of biotinylation reagent
Typical range: 5:1 to 30:1 molar ratio of biotin:antibody
Purify each conjugate using the same method
Analytical characterization:
Determine the actual degree of biotinylation using:
HABA assay (4'-hydroxyazobenzene-2-carboxylic acid)
Mass spectrometry
Fluorescent biotin quantification kits
Functional testing:
Compare the activity of conjugates in your application (e.g., ELISA)
Plot signal-to-noise ratio against degree of biotinylation
Identify the optimal ratio that maximizes signal while minimizing background
Stability assessment:
Test storage stability of each conjugate
Highly biotinylated antibodies may show reduced solubility and stability
Optimal ratios typically fall in the range of 3-8 biotin molecules per antibody, but this varies based on the specific antibody and application .
When detecting ENPP7 across different species, several important considerations must be addressed:
Sequence homology and epitope conservation:
Species-specific detection considerations:
Methodological adaptations:
Validation approach:
Always validate cross-reactivity experimentally before using with new species
Use tissues known to express ENPP7 as positive controls
Include knockout or knockdown samples as negative controls when available
These considerations ensure reliable detection of ENPP7 across different experimental systems.
ENPP7 Antibody, Biotin conjugated offers several methodological approaches for investigating lipid metabolism disorders:
Quantitative analysis of expression changes:
Compare ENPP7 levels in normal versus pathological samples using sandwich ELISA
Correlate ENPP7 expression with clinical parameters in metabolic disorders
Track ENPP7 expression changes during disease progression or treatment
Recommended protocol: Use the sandwich ELISA approach described in question 2.3
Tissue-specific expression profiling:
Analyze ENPP7 distribution across tissues affected by lipid metabolism disorders
Compare expression patterns in different cellular compartments
Identify tissue-specific alterations in ENPP7 expression in disease states
Functional correlation studies:
Measure ENPP7 protein levels using antibody-based assays
In parallel, analyze sphingomyelin and ceramide levels using lipidomics
Correlate enzyme levels with substrate/product ratios to assess functional impact
Methodological consideration: Include appropriate controls for lipid extraction and analysis
Therapeutic intervention monitoring:
Track changes in ENPP7 expression during treatment of lipid metabolism disorders
Correlate changes with clinical improvement or biomarker normalization
Use as a potential biomarker for treatment efficacy
Mechanistic investigations:
These approaches provide valuable insights into the role of ENPP7 in lipid metabolism disorders and may identify potential therapeutic targets.
Rigorous experimental design requires appropriate controls to ensure validity and reproducibility:
Antibody specificity controls:
Sample-related controls:
Positive control: Samples known to express ENPP7 (intestinal tissue extracts)
Negative control: Samples with minimal/no ENPP7 expression
Knockout/knockdown controls: Samples with genetic ablation of ENPP7 when available
Assay procedure controls:
Statistical and experimental design controls:
Technical replicates: Minimum triplicate measurements
Biological replicates: Multiple independent samples
Blank subtraction: Subtract signal from buffer-only wells
Inter-assay calibrator: Include a reference sample across multiple experiments for normalization
Advanced validation controls:
Implementing these controls ensures reliable and interpretable experimental results.
ENPP7 has distinct functional characteristics compared to other ENPP family members, which has important implications for antibody selection:
Functional distinctions of ENPP7:
ENPP7 primarily functions as a sphingomyelinase, converting sphingomyelin to ceramide
Unlike other ENPP family members (ENPP1-6), ENPP7 lacks nucleotide pyrophosphatase activity
ENPP7 has phospholipase C activity toward specific lipid substrates
ENPP7 is primarily localized to the intestinal tract, while other ENPP members have broader distribution
Structural considerations for antibody selection:
| ENPP Family Member | Key Functional Domains | Antibody Selection Considerations |
|---|---|---|
| ENPP7 | Sphingomyelinase domain | Target unique regions not shared with other ENPPs |
| ENPP1 | Nucleotide pyrophosphatase domain | Avoid epitopes in conserved catalytic regions |
| Other ENPPs | Various enzymatic domains | Use sequence alignment to identify ENPP7-specific regions |
Methodological implications:
Validate antibody specificity against recombinant proteins of multiple ENPP family members
Test for cross-reactivity in tissues expressing different ENPP family profiles
Consider epitope location relative to functional domains for activity studies
For functional studies, select antibodies that don't interfere with catalytic activity unless intended
Application-specific considerations:
For detecting ENPP7 in intestinal samples, consider potential interference from other intestinal enzymes
When studying sphingolipid metabolism, select antibodies validated in relevant lipid-rich environments
For studies comparing multiple ENPP family members, use antibodies validated for specificity against the entire family
Understanding these differences ensures selection of the most appropriate antibody for specific research objectives focused on ENPP7.
Quantifying ENPP7 expression in tissue samples requires careful consideration of sample preparation and detection methods:
Tissue sample preparation protocols:
Fresh tissues: Homogenize in buffer containing protease inhibitors
Fixed tissues: Optimize antigen retrieval methods to expose ENPP7 epitopes
Special consideration: Include appropriate detergents to solubilize membrane-associated ENPP7
For lipid-rich tissues: Use specialized extraction methods to prevent epitope masking by lipids
Quantitative detection methods:
Sandwich ELISA using biotin-conjugated detection antibody
Western blot with densitometry
Normalization strategies:
Normalize to total protein concentration (BCA or Bradford assay)
For comparative studies, use housekeeping proteins as internal references
Consider tissue-specific reference genes for mRNA correlation studies
Advanced quantification approaches:
Multiplexed detection with other sphingolipid metabolism enzymes
Combine protein quantification with enzymatic activity assays
Correlate protein levels with sphingomyelin/ceramide ratios in the same samples
Validation of quantification methods:
Assess linearity across the relevant concentration range
Determine intra-assay and inter-assay coefficients of variation
Evaluate recovery of spiked recombinant ENPP7 in tissue matrix
These methodological approaches ensure accurate and reliable quantification of ENPP7 in diverse tissue samples.
Integrating biotin-conjugated ENPP7 antibodies into multi-parameter analysis provides comprehensive insights into biological systems:
Multiplexed immunoassay approaches:
Bead-based multiplexing
Couple capture antibodies to distinct bead populations
Use biotin-ENPP7 antibody alongside other biotin-conjugated detection antibodies
Detect with streptavidin-fluorophore conjugates
Analyze using flow cytometry or dedicated bead readers
Planar array formats
Spot multiple capture antibodies on a single surface
Detect with cocktails of biotin-conjugated antibodies including ENPP7
Visualize with streptavidin-conjugated reporters
Analyze spatial patterns and expression correlations
Multi-omics integration strategies:
Combine ENPP7 protein quantification with:
Lipidomics data on sphingolipid profiles
Transcriptomics data on related pathway components
Metabolomics data on downstream metabolites
Correlate ENPP7 levels with functional outcomes across multiple parameters
High-content analysis workflows:
Use biotin-ENPP7 antibody with different streptavidin-fluorophore conjugates
Combine with other markers for simultaneous detection of multiple parameters
Apply machine learning algorithms to identify patterns and correlations
Extract multi-parameter data from single samples to reduce variability
Methodological considerations:
These approaches maximize the information obtained from limited sample material and provide integrated views of biological processes involving ENPP7.
Emerging antibody technologies offer exciting possibilities for advancing ENPP7 research:
Single-domain antibodies (nanobodies):
Smaller size allows access to cryptic epitopes on ENPP7
Enhanced tissue penetration for in vivo imaging applications
Potential for developing inhibitory antibodies targeting ENPP7 active site
Methodological advantage: Can be easily expressed in bacterial systems for cost-effective production
Recombinant antibody engineering:
Creation of bispecific antibodies targeting ENPP7 and related pathway components
Development of antibody fragments with optimized binding properties
Engineering pH-sensitive binding for specific subcellular compartment detection
Potential application: Creating antibodies that distinguish active vs. inactive ENPP7 conformations
Proximity labeling approaches:
ENPP7 antibodies conjugated to promiscuous biotin ligases (TurboID, BioID)
Allows identification of proximal proteins in the ENPP7 interactome
Maps spatial organization of ENPP7 in membrane microdomains
Methodological approach: Express ENPP7 antibody-TurboID fusion, add biotin, identify biotinylated proteins
Antibody-based biosensors:
These emerging technologies promise to expand our understanding of ENPP7 biology and may lead to novel therapeutic approaches targeting sphingolipid metabolism.
Developing highly specific antibodies against ENPP7 faces several challenges that require methodological solutions:
Structural homology challenges:
ENPP family members share structural similarities, complicating specific epitope selection
ENPP7 contains highly conserved domains across species, limiting unique epitope availability
Potential solution: Target ENPP7-specific loops or regions with lower conservation
Methodological approach: Use structural biology data to guide epitope selection
Post-translational modification considerations:
ENPP7 undergoes glycosylation that may mask epitopes or create species differences
Phosphorylation states may affect antibody recognition
Challenge: Developing antibodies that recognize ENPP7 regardless of modification state
Solution: Target non-glycosylated regions or develop modification-specific antibodies
Membrane association complexities:
ENPP7 is membrane-associated, making some epitopes inaccessible in native state
Detergents used for solubilization may alter epitope conformation
Approach: Develop antibodies against both extracellular and intracellular domains
Validation: Test antibody performance in both native and denatured conditions
Expression and purification obstacles:
Producing full-length ENPP7 for immunization is challenging due to membrane association
Recombinant fragments may not fold correctly, generating antibodies with poor recognition of native protein
Solution: Use synthetic peptides corresponding to surface-exposed regions
Advanced approach: Express ENPP7 in membrane-mimetic systems for immunization