The PIN1 Antibody (10495-1-AP) is a polyclonal rabbit antibody targeting the Peptidyl-prolyl cis/trans isomerase, NIMA-interacting 1 (PIN1) protein. PIN1 is a mitotic regulator implicated in cancer progression and cellular differentiation . While the term "PIN2K" is not referenced in the provided sources, it may refer to a theoretical or emerging variant of PIN1 antibodies, which are not yet cataloged in mainstream databases.
The PIN1 Antibody (10495-1-AP) is validated for multiple techniques:
| Application | Dilution | Tested Reactivity |
|---|---|---|
| Western Blot (WB) | 1:2000–1:10,000 | Human, mouse, rat |
| Immunoprecipitation (IP) | 0.5–4.0 µg/mg lysate | Human, mouse, rat |
| Immunohistochemistry (IHC) | 1:50–1:500 | Human renal carcinoma, pancreas cancer |
| Immunofluorescence (IF) | 1:50–1:500 | HEK-293, NIH/3T3 cells |
Cancer Research: PIN1 inhibition disrupts the tumor microenvironment (TME) and enhances PD-L1 expression in pancreatic ductal adenocarcinoma (PDAC), rendering tumors susceptible to immunochemotherapy .
Molecular Pathology: PIN1 antibodies are used to study its role in mitosis and differentiation, with colocalization observed with NEK6 in nuclear compartments .
Antibodies like PIN1 (10495-1-AP) are critical for biomedical research, enabling protein identification and quantification . Their specificity is rigorously validated through initiatives like YCharOS, which has led to the removal of over 200 poorly performing commercial antibodies . This underscores the importance of high-quality reagents in advancing disease modeling, such as in antiphospholipid syndrome (APS) nephropathy, where Tyk2 inhibitors modulate immune responses .
UniGene: Stu.20756
PIN2K (proteinase inhibitor type-2 K, I20.001) belongs to a family of serine protease inhibitors that plays crucial roles in regulating proteolytic cascades. It functions by forming stable complexes with target proteases, preventing substrate access to the active site.
PIN2K is particularly significant in research contexts because:
It exhibits high specificity for certain serine proteases
It has a conserved structure that makes it an excellent model for studying protease-inhibitor interactions
It can be expressed recombinantly in various host systems for research applications
For researchers studying PIN2K, careful consideration of expression systems is essential. As noted in recent studies, co-expression of proteinaceous inhibitors with their target proteases can optimize expression levels and functional activity .
When designing experiments involving PIN2K antibodies, implement these methodological controls:
When using multiple antibodies, carefully assess potential interference between binding sites. Recent studies with coronavirus antibodies demonstrate how pairs of antibodies can work cooperatively - one anchoring to a conserved region while the other targets functional domains .
When expressing PIN2K for antibody generation or characterization, several expression systems offer distinct advantages:
Pichia pastoris expression system:
Demonstrated high yield for proteinase inhibitors
Capable of proper folding and post-translational modifications
Can co-express the inhibitor with its target protease to improve yields
Mammalian expression systems:
More likely to produce correctly folded protein with native conformation
Essential when studying antibody binding to conformational epitopes
Enables production via transient or stable transfection methods
For optimal results, consider these methodological approaches:
Engineer codon-optimized sequences for your expression host
Include purification tags that can be removed without affecting protein structure
Consider co-expression strategies with chaperones or target proteases
Validate protein folding through functional assays before antibody development
Developing highly specific antibodies against PIN2K requires strategic approaches:
Phage Display Method:
Human naïve antibody libraries containing >7×10¹⁰ individual clones provide an effective starting point for antibody discovery. This approach yields antibodies with high binding affinity (KD = 10⁻⁹-10⁻¹⁰ M) without animal immunization .
Affinity Maturation:
To enhance antibody specificity and affinity:
Create focused libraries through targeted mutagenesis of CDR regions
Perform stringent selection with increasing washing steps
Apply competitive elution with excess PIN2K
Implement negative selection steps with related protease inhibitors
Validate improved variants through binding kinetics analysis (KD potentially reaching 10⁻¹⁰-10⁻¹¹ M)
Single B Cell Approach:
For rapid antibody discovery:
Immunize mice with properly folded PIN2K
Isolate antigen-specific B cells using fluorescently labeled PIN2K
Perform single-cell RT-PCR to recover antibody genes
Comprehensive characterization of antibody-PIN2K interactions requires multiple complementary approaches:
Surface Plasmon Resonance (SPR):
Immobilize either antibody or PIN2K on sensor chips
Measure association (kon) and dissociation (koff) rates
Calculate affinity constant (KD = koff/kon)
Compare binding under various buffer conditions to assess stability
Bio-Layer Interferometry (BLI):
Provides real-time, label-free analysis of binding kinetics with these advantages:
Requires smaller sample volumes than SPR
Allows higher throughput screening
Enables assessment of antibody binding to immobilized PIN2K in various conformational states
Isothermal Titration Calorimetry (ITC):
Measures thermodynamic parameters including:
Binding enthalpy (ΔH)
Entropy changes (ΔS)
Gibbs free energy (ΔG)
Stoichiometry of interaction
For advanced studies, computational modeling can complement experimental data by predicting antibody-PIN2K interactions at atomic resolution, similar to approaches used for other antibody-antigen complexes .
Effective epitope mapping strategies for PIN2K antibodies include:
X-ray Crystallography:
Provides atomic-level resolution of antibody-PIN2K complexes, revealing:
Precise amino acid contacts
Structural rearrangements upon binding
Water-mediated hydrogen bonding networks
Hydrogen-Deuterium Exchange Mass Spectrometry (HDX-MS):
Subject free PIN2K and antibody-bound PIN2K to deuterium exchange
Analyze protection patterns to identify binding regions
Model structural dynamics of interaction
Peptide Arrays:
Synthesize overlapping peptides covering PIN2K sequence
Probe with antibodies to identify linear epitopes
Create alanine-scanning arrays to identify critical residues
Cross-linking Mass Spectrometry:
Identify proximity relationships between antibody and PIN2K residues:
Use bifunctional cross-linkers with different spacer lengths
Digest complexes and analyze by LC-MS/MS
Identify cross-linked peptides to map interacting regions
Recent advances in cryo-electron microscopy have enabled visualization of antibody binding modes, as demonstrated with SARS-CoV-2 antibodies, providing insights into how antibodies can form specific binding pockets for their targets .
Advanced computational approaches can significantly enhance PIN2K antibody design:
Machine Learning-Based Prediction:
Recent studies demonstrate how biophysically informed models can:
Predict antibody specificity profiles
Design antibodies that discriminate between related targets
Generate novel antibody sequences with customized binding properties
Molecular Dynamics Simulations:
Model antibody-PIN2K complexes in solution
Identify stable conformational states
Predict effects of mutations on binding energetics
Simulate water and ion distributions at binding interfaces
Deep Mutational Scanning Analysis:
Integration of experimental data with computational models allows:
Identification of mutation-tolerant regions
Prediction of specificity-enhancing mutations
Design of antibodies with improved stability and reduced immunogenicity
As demonstrated in recent antibody engineering studies, combining experimental selection data with biophysical modeling enables design of antibodies with customized specificity profiles beyond what can be achieved through selection alone .
Developing stable high-concentration PIN2K antibody formulations requires addressing several key challenges:
Physical Stability Optimization:
To minimize aggregation and maintain stability:
Screen buffer conditions systematically (pH 5.0-6.5 often optimal)
Evaluate stabilizing excipients (sugars, amino acids, surfactants)
Implement accelerated stability studies with multiple analytical methods
| Excipient Class | Example | Typical Concentration | Stabilization Mechanism |
|---|---|---|---|
| Amino acids | Arginine | 50-200 mM | Suppresses protein-protein interactions |
| Sugars | Trehalose | 5-10% w/v | Preferential hydration |
| Surfactants | Polysorbate 20 | 0.01-0.05% w/v | Interfacial protection |
| Polyols | Sorbitol | 5-10% w/v | Preferential exclusion |
Viscosity Reduction Approaches:
For high-concentration formulations (>100 mg/mL):
Add viscosity-reducing excipients (e.g., arginine, histidine)
Optimize solution ionic strength
Consider protein engineering to reduce self-association
Evaluate alternative formulation approaches (e.g., lyophilization)
Analytical Characterization:
Monitor antibody stability using orthogonal techniques:
Size-exclusion chromatography
Dynamic light scattering
Differential scanning calorimetry
Intrinsic/extrinsic fluorescence
Engineering PIN2K antibodies with precise specificity profiles requires sophisticated approaches:
CDR Engineering Strategies:
Structure-guided mutagenesis of CDR loops
Grafting of specificity-determining residues
Lengthening or shortening CDR loops to modulate binding geometry
Incorporating non-canonical amino acids for enhanced binding properties
Frameworks for Cross-Reactivity Engineering:
Recent studies demonstrate how binding modes can be engineered to recognize:
Conserved epitopes for broad reactivity
Specific epitopes for selective binding
Biophysical Model-Guided Engineering:
Advanced modeling approaches can:
Disentangle binding contributions from multiple epitopes
Identify residues contributing to cross-reactivity
Predict mutations that enhance selectivity
Research with coronavirus antibodies shows how engineering antibodies to target conserved regions with one binding domain while using another domain to target variable regions can create broadly neutralizing antibodies with exceptional specificity .
Effective use of PIN2K antibodies in structural biology research requires specialized approaches:
Cryo-EM Sample Preparation:
Optimize antibody:PIN2K ratios to ensure complex formation
Screen buffer conditions to minimize preferred orientations
Consider Fab fragments to reduce complex size and flexibility
Implement GraFix method for stabilizing multi-component complexes
X-ray Crystallography Strategies:
Use antibodies as crystallization chaperones to facilitate PIN2K crystallization
Screen various antibody formats (IgG, Fab, scFv) for optimal crystal packing
Employ surface entropy reduction mutations to enhance crystallizability
Implement micro/macro seeding techniques to improve crystal quality
Advanced Imaging Applications:
Recent innovations in antibody structural characterization include:
Tandem-trapped ion mobility spectrometry (Tandem-TIMS)
Preserves native protein conformations during analysis
Allows study of dynamic protein modifications
Enables detailed study of antibody structure-function relationships
PIN2K antibodies provide powerful tools for investigating protease regulation:
Protease Activity Visualization:
Use fluorescently labeled PIN2K antibodies to track inhibitor localization
Develop proximity-based reporters to monitor PIN2K-protease interactions
Implement FRET-based systems to detect conformational changes upon binding
Functional Studies Methodology:
Deploy PIN2K antibodies as selective blocking agents
Use antibodies to discriminate between free and protease-bound PIN2K
Develop antibody-based sensors for real-time monitoring of proteolytic activity
Cellular Localization Studies:
Antibodies enable precise tracking of PIN2K distribution:
Super-resolution microscopy techniques for nanoscale localization
Live-cell imaging to monitor dynamics of inhibitor-protease interactions
Correlative light and electron microscopy for ultrastructural context
These approaches parallel methodologies used with other antibody systems, such as those developed for studying viral protein interactions .
Cutting-edge antibody engineering technologies offer new possibilities for PIN2K research:
Bispecific Antibody Platforms:
Design antibodies that simultaneously:
Bind PIN2K with one arm
Target related proteases or cofactors with the second arm
Create novel functionalities through forced proximity
Intracellular Antibody Development:
Engineer cell-penetrating antibodies to access intracellular PIN2K
Develop antibody fragments stable in reducing cytoplasmic environments
Create genetic constructs for intracellular antibody expression
Engineered Binding Proteins Beyond Traditional Antibodies:
Alternative scaffolds with potential applications in PIN2K research:
DARPins (Designed Ankyrin Repeat Proteins)
Affibodies
Monobodies
Recent advances in antibody development platforms include single B cell sorting techniques that enable rapid isolation of antigen-specific antibodies, potentially accelerating PIN2K antibody discovery .
Integrating PIN2K antibody data into systems biology frameworks provides comprehensive insights:
Multi-Omic Data Integration:
Combine antibody-based proteomic data with transcriptomics
Correlate PIN2K-protease interactions with cellular phenotypes
Map regulatory networks controlling protease inhibitor expression
Quantitative Interaction Mapping:
Determine stoichiometric ratios of PIN2K-protease complexes
Measure binding affinities across different cellular compartments
Assess competition between multiple proteases for limited inhibitor
Mathematical Modeling Approaches:
Develop computational models incorporating:
Antibody-derived interaction parameters
Spatial and temporal dynamics of PIN2K activity
Feedback mechanisms regulating protease activity
These integrative approaches parallel methods used to understand complex biological systems, such as immune responses to pathogens, where antibody interactions play critical roles .
Recent advances in antibody humanization offer significant benefits for PIN2K research:
Computational Humanization Platforms:
Modern approaches include:
Structure-guided CDR grafting with minimal framework changes
Homology-based framework selection to minimize immunogenicity
Machine learning algorithms to predict optimal humanized sequences
In silico affinity maturation to restore binding properties
Humanization Success Metrics:
Key parameters to evaluate in humanized PIN2K antibodies:
Retention of binding affinity (target <3-fold reduction)
Thermal stability (comparable to parent antibody)
Expression yields in mammalian systems
Aggregation propensity under physiological conditions
Emerging Direct Human Antibody Discovery:
Human antibody technologies eliminating the need for humanization: