Adenylosuccinate lyase (ADSL) is a 484 amino acid protein (54.9 kDa) that plays crucial roles in de novo purine synthesis (DNPS) and the purine nucleotide cycle. It catalyzes two non-sequential reactions in AMP biosynthesis: the conversion of SAICAR to fumarate plus AICAR (contributing to IMP synthesis), and the conversion of succinyladenosine monophosphate (SAMP) to AMP and fumarate . ADSL is particularly significant in neurodevelopmental research as ADSL deficiency causes several pathologies including microcephaly and autism spectrum disorder . As a ubiquitously expressed enzyme, ADSL is essential for maintaining cellular energy levels and nucleotide synthesis .
Selection should be based on:
Validated Applications: Choose antibodies specifically validated for your intended application (WB, IHC, IF, ELISA)
Species Reactivity: Ensure the antibody recognizes ADSL in your model organism (human, mouse, rat, etc.)
Antibody Type: Consider polyclonal for higher sensitivity or monoclonal for greater specificity
Citation Records: Prioritize antibodies with published validation in peer-reviewed literature
Epitope Recognition: For domain-specific studies, select antibodies targeting specific regions (e.g., AA 1-310 vs. full-length)
The top validated ADSL antibodies based on citation frequency include Atlas Antibodies HPA000525 (6 references), Proteintech Group 15264-1-AP (3 references), and Novus Biologicals NBP1-87406 (2 references) .
For optimal Western blot detection of ADSL:
Sample Preparation:
Electrophoresis and Transfer:
Use 10-12% SDS-PAGE gels for optimal resolution of the 54.9 kDa ADSL protein
Transfer to PVDF membranes at 100V for 1 hour or 30V overnight
Antibody Incubation:
Detection:
For successful immunocytochemistry with ADSL antibodies:
Cell Preparation:
Culture cells on coverslips to 70-80% confluence
Fix cells with 4% paraformaldehyde (10 minutes at room temperature)
Permeabilize with 0.1% Triton X-100 (5 minutes)
Blocking and Antibody Incubation:
Imaging Considerations:
ADSL typically shows cytoplasmic localization
Co-stain with organelle markers to confirm subcellular distribution
Include DAPI for nuclear visualization
Controls:
The following methods are arranged by increasing sensitivity:
Western Blot: Detects endogenous ADSL levels, semi-quantitative
Sensitivity: ~1-10 ng of target protein
Best for relative quantification between samples
Standard ELISA: More quantitative than Western blot
Immunoprecipitation followed by Western blot (IP-WB):
Enhanced Chemiluminescence ELISA:
Immunochromatography:
Comprehensive validation requires multiple approaches:
Positive and Negative Controls:
Multiple Detection Methods:
Peptide Competition Assay:
Pre-incubate antibody with immunizing peptide
Signal should be abolished or significantly reduced
Knockout/Knockdown Validation:
Mass Spectrometry Confirmation:
Perform IP followed by mass spectrometry analysis
Confirms identity of the immunoprecipitated protein
Multiple bands may result from:
Isoforms: Up to 2 different isoforms of ADSL have been reported in humans , which could appear as distinct bands
Main band: ~55 kDa (canonical isoform, 484 amino acids)
Alternative splice variants may show different molecular weights
Post-translational Modifications:
Phosphorylation, ubiquitination, or other modifications can alter migration
Consider phosphatase treatment to determine if phosphorylation contributes to band shifts
Proteolytic Cleavage:
Sample degradation during preparation
Add additional protease inhibitors and maintain cold conditions during extraction
Cross-reactivity:
Antibody Quality Issues:
For rigorous experimental design when studying ADSL deficiency:
Positive Controls:
Samples with known ADSL expression
Recombinant ADSL protein standards
Cells transfected with ADSL expression constructs
Negative Controls:
Rescue Controls:
Pharmacological Controls:
Pathway Validation:
ADSL antibodies are valuable tools for studying ADSL deficiency-related neurodevelopmental disorders:
Tissue Distribution Analysis:
Compare ADSL levels in normal vs. pathological brain tissues
Use IHC with ADSL antibodies to examine regional expression patterns
Correlate with neuronal markers to identify affected cell populations
Animal Model Validation:
Pathway Analysis:
Therapeutic Development:
Screen compounds that rescue ADSL deficiency phenotypes
Monitor ADSL stability and expression in response to treatments
Evaluate purine supplementation efficacy using antibody-based detection of pathway components
Patient-Derived Cell Studies:
Compare ADSL levels in cells from patients vs. healthy controls
Examine subcellular localization and potential aggregation in disease models
Correlate ADSL expression with neurological phenotype severity
For investigating ADSL's protein-protein interactions:
Co-Immunoprecipitation (Co-IP):
Proximity Ligation Assay (PLA):
Detect protein interactions in situ with spatial resolution
Use antibodies against ADSL and potential interactors
Positive signal indicates proteins are within 40 nm proximity
Immunofluorescence Co-localization:
Dual staining with ADSL and candidate interactor antibodies
Quantify co-localization using Pearson's or Mander's coefficients
Super-resolution microscopy for detailed interaction studies
Bimolecular Fluorescence Complementation (BiFC):
Tag ADSL and potential interactor with split fluorescent protein fragments
Verify interactions in live cells
Validate with antibody detection of both proteins
Crosslinking Immunoprecipitation (CLIP):
For studying ADSL-RNA interactions
Combine with high-throughput sequencing to identify binding sites
Validate with in vitro binding assays
ADSL deficiency has been linked to DNA damage and replication stress . To investigate this connection:
DNA Damage Foci Analysis:
Co-stain ADSL-depleted cells with ADSL antibodies and DNA damage markers (53BP1, γH2AX)
Quantify foci number in ADSL-positive vs. ADSL-negative cells
Establish temporal relationship between ADSL depletion and damage appearance
Cell Cycle Analysis:
Combine ADSL immunostaining with cell cycle markers (Ki67, BrdU incorporation)
Flow cytometry analysis using ADSL antibodies and propidium iodide
Correlate ADSL levels with G1 arrest phenotypes
Chromatin Association Studies:
Rescue Experiments:
p53 Dependency Analysis:
For robust quantitative analysis of ADSL immunostaining:
Signal Intensity Measurement:
Measure mean fluorescence intensity within defined cellular compartments
Use software like ImageJ/FIJI with background subtraction
Compare intensity across experimental conditions using normalized values
Co-localization Analysis:
Calculate Pearson's or Mander's coefficients for co-localization studies
Use JACoP or Coloc2 plugins in ImageJ for standardized analysis
Report thresholded coefficients to account for background
Subcellular Distribution Profiles:
Generate fluorescence intensity profiles across cellular regions
Plot nuclear-to-cytoplasmic ratio to detect translocation events
Use mask-based approaches to quantify organelle-specific localization
High-Content Analysis:
Automated image acquisition and analysis for large-scale studies
Multi-parametric phenotypic profiling
Machine learning approaches for pattern recognition and classification
Statistical Considerations:
Use appropriate statistical tests (t-test, ANOVA, non-parametric tests)
Account for biological and technical replicates
Report effect sizes along with p-values
Consider blinded analysis to prevent bias
When facing discrepancies between different ADSL antibodies:
Epitope Mapping:
Identify the specific regions recognized by each antibody
Antibodies against different epitopes (e.g., AA 1-310 vs AA 188-237) may give different results if:
Certain epitopes are masked by protein interactions
Post-translational modifications affect epitope accessibility
Specific isoforms lack certain epitopes
Validation Hierarchy:
Method-Specific Considerations:
Some antibodies work better for certain applications (WB vs. IF vs. IHC)
Native vs. denatured protein recognition can differ
Fixation methods may differentially affect epitope accessibility
Orthogonal Approaches:
Use non-antibody methods to resolve discrepancies (mass spectrometry, CRISPR tagging)
Employ genetic approaches (tagged ADSL expression, CRISPR knockout)
Consider transcriptomics data to support protein findings
Resolution Strategies:
Use multiple antibodies targeting different epitopes and report all results
Validate findings with genetic manipulations (siRNA, CRISPR)
Acknowledge limitations in your research publications
To ensure observed phenotypes are specifically related to ADSL function:
Genetic Controls:
Pathway Validation:
Cross-Species Validation:
Dose-Response Relationships:
Establish quantitative relationships between ADSL levels and phenotype severity
Use partial knockdown approaches to reveal threshold effects
Correlate antibody signal intensity with functional outcomes
Temporal Analysis:
Determine temporal sequence of events following ADSL depletion
Use inducible knockdown systems for temporal control
Establish which phenotypes appear first and may be causative rather than consequential