NgR1 (Nogo-66 Receptor): A glycosylphosphatidylinositol (GPI)-linked leucine-rich repeat protein expressed in neurons, acting as a receptor for myelin inhibitors like Nogo-A, MAG, and OMgp. It mediates axonal regeneration inhibition .
Antibody 27143-1-AP: Targets human NgR1 (UniProt ID Q9BZR6), validated for Western blot (WB) and immunohistochemistry (IHC). Detects a ~64 kDa band (glycosylated form) .
NPG (NO POLLEN GERMINATION) Family: Includes NPG1, NPGR1, and NPGR2, which interact with PI4Kα1 in Arabidopsis. These proteins are critical for pollen germination and sporophytic development .
Antibodies for NPGR2: A study raised polyclonal antibodies against NPGR2 (residues 1–273), which showed specificity for NPGR2 over NPGR1 (no cross-reactivity) . No NPGR1-specific antibody is explicitly described in the sources.
Genetic Interactions:
Antibody Specificity:
NgR1 vs. NPGR1: These are distinct entities. NgR1 refers to a mammalian neuronal receptor, while NPGR1 is a plant-specific protein.
Antibody Availability: No commercial or peer-reviewed antibodies specific to NPGR1 are documented in the provided sources. Existing antibodies target NPGR2 or NgR1.
Clarify Target Organism:
Explore Homologs: NPGR1’s role in Arabidopsis suggests functional redundancy with NPGR2; generating NPGR1-specific antibodies would require epitope mapping to non-conserved regions.
- Proteintech NgR1 Antibody Documentation
- bioRxiv Preprint on NPG-PI4Kα1 Complex in Arabidopsis
NPGR1 (Nanodomain and phosphoinositide binding protein with repetitive motifs related 1) is a member of the NPG family that includes NPG1 and NPGR2. These proteins share high sequence identity and similar architecture. The C-terminal region of NPGR1 (amino acids 501-694) contains a high density of TPR (tetratricopeptide repeat) motifs that likely mediate interactions with PI4Kα1, a phosphatidylinositol 4-kinase . This interaction suggests NPGR1 plays a role in phosphoinositide signaling pathways, which are crucial for various cellular processes including membrane trafficking, cytoskeletal organization, and signal transduction. NPGR1 expression patterns are similar to those of NPGR2 but at considerably lower levels, which often makes NPGR2 a preferred subject for experimental studies .
Researchers can generate several types of antibodies against NPGR1:
Polyclonal antibodies: Developed by immunizing animals (typically rabbits) with synthetic peptides or recombinant NPGR1 proteins.
Monoclonal antibodies: Created using hybridoma technology after immunizing mice with NPGR1 antigens.
Recombinant antibodies: Engineered antibodies developed through phage display or similar technologies.
Single-domain antibodies (VHHs): Smaller antibodies that can be computationally designed using approaches like RFdiffusion to target specific epitopes on NPGR1 .
For optimal specificity, antibodies are typically raised against unique regions of NPGR1 that differ from NPG1 and NPGR2, particularly outside the conserved TPR motifs, to prevent cross-reactivity within this protein family.
Proper validation of NPGR1 antibodies requires multiple complementary approaches:
Western blot analysis using:
Recombinant NPGR1 protein as a positive control
Cell/tissue lysates from wildtype and NPGR1 knockout/knockdown samples
Comparison with lysates expressing related proteins (NPG1, NPGR2) to confirm specificity
Immunoprecipitation followed by mass spectrometry to confirm the antibody pulls down NPGR1 specifically.
Immunofluorescence comparing wildtype and NPGR1-deficient samples, with appropriate controls for secondary antibody background.
Cross-adsorption tests with recombinant NPG1 and NPGR2 proteins to demonstrate lack of cross-reactivity with related family members .
A study examining NPGR family members found that antibodies raised against one member may not recognize others, as demonstrated when antibodies against NPGR2 did not recognize NPGR1-mCITRINE fusion proteins . This highlights the importance of thorough validation for antibody specificity within this protein family.
Optimizing immunoprecipitation (IP) of NPGR1 requires careful consideration of several technical factors:
Lysis buffer composition:
Use buffers containing 1% NP-40 or 0.5% Triton X-100 with protease inhibitors
Include phosphatase inhibitors if phosphorylation-dependent interactions are of interest
Consider including specific detergents that preserve membrane-associated interactions
Crosslinking strategies:
Implement reversible crosslinking (DSP or formaldehyde) to capture transient interactions
Optimize crosslinking time to maintain complex integrity without creating non-specific aggregates
IP conditions:
Pre-clear lysates with appropriate control IgG and protein A/G beads
Compare different antibody concentrations (typically 2-5 μg per mg of protein lysate)
Optimize antibody incubation time (4-16 hours) and temperature (4°C)
Washing stringency:
Implement a gradient of salt concentrations to eliminate non-specific binding
Consider using TAP-tagged (tandem affinity purification) NPGR1 constructs for improved specificity
Research on related proteins demonstrated successful co-immunoprecipitation of PI4Kα1 with NPGR2-mCITRINE using anti-GFP antibodies, suggesting similar approaches could be effective for NPGR1 studies . When designing these experiments, include appropriate controls, such as unrelated membrane proteins (like Lti6b-CITRINE), to confirm specificity of the interactions .
Given the known interaction between NPGR family proteins and PI4Kα1, designing robust experiments to study NPGR1-PI4Kα1 interactions requires:
Experimental systems selection:
Transient expression systems: HEK293T or COS-7 cells for initial validation
Stable expression: Create inducible expression systems to control expression levels
Endogenous systems: Primary cells or tissues where both proteins are naturally expressed
Interaction domains mapping:
Functional studies:
Measure PI4K activity in the presence/absence of NPGR1
Assess changes in phosphoinositide levels using specific biosensors
Analyze subcellular localization of both proteins using confocal microscopy
Competition assays:
Test whether NPGR1 competes with NPGR2 or NPG1 for binding to PI4Kα1
Use purified proteins or peptides corresponding to interaction domains
The research approach should be similar to that used in the study of NPGR2, which successfully demonstrated interaction with PI4Kα1 through both yeast two-hybrid assays and co-immunoprecipitation experiments .
Advanced computational approaches offer promising strategies for designing highly specific NPGR1 antibodies:
Structure-based design using RFdiffusion:
This approach enables the de novo design of antibodies targeting specific epitopes on NPGR1
The RFdiffusion method can be fine-tuned predominantly on antibody complex structures
The framework sequence and structure can be specified at inference time, allowing customization
The rigid body position (dock) between antibody and target epitope is designed along with the framework structure
CDR loop design optimization:
Validation using RoseTTAFold2:
Epitope targeting strategy:
These computational approaches offer significant advantages over traditional methods, potentially producing antibodies with higher specificity while reducing time and costs associated with immunization or library screening approaches .
Selecting appropriate expression systems for NPGR1 antigen production depends on several factors:
Bacterial expression systems:
E. coli BL21(DE3): Ideal for producing fragments of NPGR1, particularly domains without complex folding requirements
Modifications: Use fusion tags (MBP, SUMO, or TRX) to enhance solubility
Limitations: Full-length NPGR1 may not fold correctly or may form inclusion bodies
Insect cell expression:
Sf9/High Five cells: Better for full-length NPGR1 expression with proper folding
Advantages: More likely to maintain tertiary structure and post-translational modifications
System: Baculovirus expression vector system (BEVS) with polyhistidine or GST tags for purification
Mammalian expression:
HEK293F/Expi293: Optimal for production of NPGR1 with native folding and modifications
Methods: Transient transfection with high-density suspension cultures
Applications: Particularly valuable when native conformation is critical for antibody recognition
Cell-free expression systems:
Wheat germ extract: Alternative for difficult-to-express protein segments
Advantages: Rapid production and avoidance of inclusion body formation
For experimental screening of antigen expression, parallel testing of different domains and expression systems is recommended. Based on patterns observed in related proteins, focusing on the C-terminal region (aa 501-694) of NPGR1 containing the TPR motifs may yield antigens that generate antibodies recognizing functionally relevant epitopes .
Distinguishing antibody specificity between closely related NPGR family members requires rigorous validation strategies:
Parallel testing with all family members:
Express tagged versions of NPGR1, NPGR2, and NPG1 (e.g., with mCITRINE or similar tags)
Perform western blot analysis with the antibody of interest against all three proteins
Compare band intensities to assess relative affinity and cross-reactivity
Competitive binding assays:
Pre-incubate antibodies with recombinant NPGR2 or NPG1 before testing against NPGR1
Measure the decrease in signal to quantify cross-reactivity
Epitope mapping:
Use peptide arrays covering unique and conserved regions of all family members
Identify specific epitope(s) recognized by the antibody to predict cross-reactivity
CRISPR-Cas9 validation:
Test antibody in wildtype cells versus NPGR1 knockout cells
If signal persists in knockout cells, assess whether this is due to recognition of NPGR2/NPG1
Research has demonstrated that antibodies raised against specific NPGR family members may not cross-react with others. For example, antibodies specifically recognizing NPGR2 did not recognize NPGR1-mCITRINE, indicating distinct epitope recognition . This suggests careful epitope selection can yield antibodies that discriminate between these related proteins.
Robust immunoprecipitation-mass spectrometry (IP-MS) experiments for NPGR1 interactome analysis require comprehensive controls:
Negative controls:
IgG control: Use matched isotype control antibodies from the same species
Knockout/knockdown control: Perform parallel IP from NPGR1-deficient samples
Competition control: Pre-incubate antibody with excess recombinant NPGR1 antigen
Positive controls:
Technical validation:
Reciprocal IP: Confirm key interactions by IP with antibodies against identified partners
Two different NPGR1 antibodies: Compare interactomes obtained with antibodies targeting different epitopes
Tagged NPGR1: Compare native antibody results with anti-tag IP results
Data analysis controls:
Implement stringent statistical filters (fold change >2, p-value <0.05)
Use CRAPome database to filter common contaminants
Apply quantitative approaches (SILAC, TMT, LFQ) with appropriate normalization
Research with related protein NPGR2 effectively used tagged versions (NPGR2-mCITRINE) and unrelated membrane proteins (Lti6b-CITRINE) as controls to demonstrate specific co-immunoprecipitation with PI4Kα1 . Similar control strategies should be applied to NPGR1 studies to ensure reliable identification of genuine interactors.
NPGR1 antibodies can be strategically employed to investigate phosphoinositide signaling through several approaches:
Localization studies:
Use immunofluorescence to track NPGR1 localization during cellular responses
Combine with phosphoinositide biosensors to correlate NPGR1 positioning with PI4P production
Implement super-resolution microscopy to visualize nanodomain organization
Interaction dynamics:
Employ proximity ligation assays (PLA) to visualize NPGR1-PI4Kα1 interactions in situ
Use FRET-based approaches with labeled antibodies to measure interaction kinetics
Implement BiFC (Bimolecular Fluorescence Complementation) with antibody fragments
Functional manipulation:
Develop function-blocking antibodies that disrupt NPGR1-PI4Kα1 interactions
Use antibody microinjection to acutely inhibit NPGR1 function
Combine with phosphoinositide measurements to assess impact on PI4P production
Pathway analysis:
Apply antibodies in ChIP-seq if NPGR1 has nuclear functions
Use for proximity biotinylation (BioID) to identify context-specific interactors
Implement for immunoprecipitation before and after pathway stimulation
Evidence from related family members suggests NPGR1 likely interacts with PI4Kα1 through its C-terminal TPR motifs (aa 501-694) . This interaction places NPGR1 within a molecular complex involved in phosphoinositide metabolism, making antibodies valuable tools for dissecting its precise role in these signaling networks.
Developing antibodies against post-translationally modified (PTM) forms of NPGR1 presents several unique challenges:
Identification of relevant modifications:
Perform phosphoproteomics, ubiquitylomics, or other PTM-specific analyses to identify actual modification sites on NPGR1
Prioritize modifications that change upon cellular stimulation or in disease states
Focus on modifications within functional domains, particularly the TPR motifs
Antigen design strategies:
Synthesize peptides containing the specific modification of interest
Ensure sufficient peptide length (15-20 amino acids) with the modification centrally positioned
Consider using branched peptides to increase immunogenicity of small modifications
Specificity validation:
Test against both modified and unmodified recombinant proteins
Validate with cell lysates treated with phosphatases or other enzymes that remove specific PTMs
Employ CRISPR knock-in mutations at modification sites as negative controls
Technical considerations:
Include modification-stabilizing phosphatase/protease inhibitors in all buffers
Consider using multiple modifications in a single antigen if they co-occur in vivo
Develop blocking peptides for both modified and unmodified forms for validation
Given that TPR motif-containing proteins like NPGR1 often undergo phosphorylation that regulates their protein-protein interactions, developing phospho-specific antibodies may be particularly valuable for understanding how NPGR1 function is dynamically regulated within phosphoinositide signaling pathways .
Both antibody-based detection and genetic tagging offer complementary approaches for NPGR1 research, each with distinct advantages and limitations:
| Parameter | Antibody-Based Detection | Genetic Tagging |
|---|---|---|
| Native protein detection | Detects endogenous protein without modification | Requires genetic modification of the target |
| Expression level fidelity | Reflects physiological expression levels | May result in overexpression artifacts |
| Spatiotemporal resolution | Limited by fixation (for IF) or lysis (for WB) | Can enable live-cell imaging with fluorescent tags |
| Isoform specificity | Can be designed to recognize specific isoforms | Tags all isoforms expressed from the modified gene |
| Post-translational modification detection | Can be developed to recognize specific PTMs | Generally does not distinguish modified forms |
| Technical complexity | Requires validated antibodies but no genetic modification | Requires successful genetic engineering |
| Background signal | May have non-specific binding | Generally lower background but potential tag-specific artifacts |
| Application versatility | Useful for fixed samples and biochemical assays | Superior for dynamic studies in living systems |
Research on related proteins has successfully employed both approaches, as seen with native antibodies against PI4Kα1 and tagged versions of NPGR2 (NPGR2-mCITRINE) . For optimal results, combining both methods provides validation through complementary approaches. For example, co-immunoprecipitation studies can be performed both with antibodies against native proteins and with tagged versions to confirm interactions .
Inconsistent performance of NPGR1 antibodies across different applications can stem from several technical factors:
Epitope accessibility issues:
Protein conformation differences between applications (native in IP vs. denatured in WB)
Masking of epitopes by protein-protein interactions or post-translational modifications
Fixation-induced epitope alterations in immunofluorescence
Protocol-specific considerations:
Western blot: Insufficient blocking, inappropriate transfer conditions for high MW proteins
Immunoprecipitation: Detergent choice affecting protein complex stability
Immunofluorescence: Fixation method incompatible with epitope recognition
Sample preparation variables:
Lysis buffer composition affecting protein solubility and epitope exposure
Fixation protocols (PFA vs. methanol) altering protein conformation
Storage conditions leading to protein degradation or modification changes
Technical remediation strategies:
Epitope retrieval methods for immunohistochemistry/immunofluorescence
Membrane stripping and re-probing with alternative antibodies
Testing multiple antibodies recognizing different epitopes
Research with antibodies against related proteins has shown that antibody performance can vary significantly between applications. For instance, an antibody might successfully detect a protein in western blot but fail in immunoprecipitation due to conformation-dependent epitope recognition . Thorough validation in each specific application is essential.
Addressing cross-reactivity with NPGR1 antibodies requires systematic troubleshooting and validation:
Identifying cross-reactivity sources:
Test against recombinant NPGR1, NPGR2 and NPG1 to quantify family member cross-reactivity
Perform immunoprecipitation followed by mass spectrometry to identify all captured proteins
Utilize knockout/knockdown validation in combination with overexpression systems
Antibody purification approaches:
Implement affinity purification against the specific NPGR1 peptide used as immunogen
Perform negative selection by passing antibody through columns containing related proteins
Use competitive elution to obtain highest-affinity antibody fractions
Blocking strategies:
Pre-incubate antibodies with recombinant NPGR2/NPG1 to block cross-reactive antibodies
Use peptide competition with epitope-specific peptides to confirm specificity
Include recombinant competing proteins in immunoprecipitation buffers
Analytical solutions:
Implement higher stringency washing conditions in western blot and IP protocols
Use gradient gels to better separate similarly-sized family members
Employ two-color detection systems to simultaneously visualize multiple proteins
The reported lack of cross-reactivity between antibodies against NPGR2 and NPGR1-mCITRINE suggests that despite high sequence similarity, properly designed antibodies can distinguish between these family members . Focus on unique regions outside the conserved TPR motifs when designing antigens for antibody development.
Detecting low-abundance NPGR1 in tissue samples requires optimized immunofluorescence protocols:
Signal amplification methods:
Tyramide signal amplification (TSA): Can increase signal 10-100 fold
Polymer-based detection systems: HRP-conjugated polymers with multiple secondary antibodies
Sequential application of primary and secondary antibodies (multiple rounds)
Epitope retrieval optimization:
Test multiple retrieval buffers (citrate pH 6.0, EDTA pH 8.0, Tris-EDTA pH 9.0)
Optimize retrieval time and temperature (microwave, pressure cooker, water bath)
Combine heat-induced and enzymatic retrieval for difficult epitopes
Background reduction strategies:
Extended blocking (overnight at 4°C) with 5-10% normal serum
Include detergents (0.3% Triton X-100) and carrier proteins (BSA, casein)
Implement avidin/biotin blocking if using biotinylated detection systems
Technical enhancements:
Use thin sections (5 μm or less) to improve antibody penetration
Extend primary antibody incubation (24-48 hours at 4°C)
Employ fluorophores with distinct spectral properties from tissue autofluorescence
Implement spectral unmixing to separate signal from autofluorescence
Controls and validation:
Include absorption controls with immunizing peptide
Compare staining patterns with in situ hybridization for NPGR1 mRNA
Use tissue from NPGR1 knockout animals as negative controls
Since NPGR1 expression is lower than NPGR2 , these signal optimization techniques are particularly important when studying this family member in native tissues where its abundance may be near detection limits with standard protocols.