NEK2 is a serine/threonine kinase involved in cell cycle regulation, particularly during the S and G2 phases. Overexpression of NEK2 is linked to tumor progression in cancers such as hepatocellular carcinoma (HCC).
Antibody Development: A monoclonal antibody (mAb) targeting NEK2 was developed using a prokaryotic expression system. The recombinant NEK2 protein was expressed in Escherichia coli and used to immunize BALB/c mice, yielding hybridoma cell line 3A3 that secretes anti-NEK2 mAb .
Biochemical Properties:
| Property | Value |
|---|---|
| Isotype | IgG1 |
| Affinity Constant (Kₐff) | 6.0 × 10⁸ L/mol |
| Applications | Western blot, ELISA, immunofluorescence, immunocytochemistry |
Functional Impact:
NIK (NF-κB-inducing kinase) regulates the non-canonical NF-κB pathway, influencing B cell survival and inflammation.
NIK Overexpression:
Antibody Specifications:
| Property | Value |
|---|---|
| Target Protein | Total NIK |
| Species Reactivity | Human, Mouse |
| Molecular Weight | 125 kDa |
| Applications | Western Blotting |
Pathway Effects:
| Feature | NEK2 Antibody | NIK Antibody |
|---|---|---|
| Target Role | Cell cycle regulation | NF-κB pathway regulation |
| Therapeutic Focus | Cancer (HCC, pancreatic) | Autoimmunity, lymphoma |
| Key Applications | Diagnostic kits, targeted therapy | Basic research, pathway analysis |
NEK2 (NIMA-related kinase 2) is a 52 kDa serine/threonine protein kinase that plays crucial roles in cell cycle regulation, particularly during mitosis. It has distinct localization patterns depending on the isoform: Isoform 1 localizes to the nucleus and nucleolus, while Isoform 2 is predominantly cytoplasmic . This protein has gained significant research interest due to its implications in cancer development and progression, making it an important target for antibody development in both diagnostic and therapeutic contexts.
NEK2 antibodies serve multiple research applications, with the most common being:
Western Blot (WB): For detection and quantification of NEK2 protein in cell or tissue lysates, typically at dilutions between 1:500-1:3000
Immunohistochemistry (IHC): For visualizing NEK2 distribution in tissue sections at dilutions of 1:100-1:1000
Immunocytochemistry/Immunofluorescence (ICC/IF): For examining subcellular localization in cultured cells at dilutions of 1:100-1:1000
Immunohistochemistry-Paraffin (IHC-P): For detection in formalin-fixed, paraffin-embedded samples at dilutions of 1:100-1:1000
Each application requires specific optimization to ensure reliable and reproducible results.
Antibody specificity validation is critical for ensuring reliable research outcomes. For NEK2 antibodies, consider these methodological approaches:
Positive and negative control samples: Use cell lines or tissues known to express or lack NEK2
Multiple antibody comparison: Employ different antibodies targeting distinct NEK2 epitopes
Molecular weight verification: Confirm that the detected band in Western blot corresponds to the expected 52 kDa (noting that post-translational modifications may alter observed weight)
Genetic knockdown/knockout validation: Compare antibody signal between NEK2-expressing and NEK2-depleted samples
Peptide competition assays: Pre-incubate the antibody with the immunizing peptide to confirm specific binding
Validation should be performed for each specific application (WB, IHC, ICC) as specificity may vary between applications.
Sample preparation significantly impacts NEK2 antibody performance across different applications:
For Western Blot:
Use extraction buffers containing phosphatase inhibitors to preserve phosphorylated forms of NEK2
Load approximately 30 μg of whole cell lysate on 10% SDS-PAGE gels for optimal detection
For Immunocytochemistry:
Paraformaldehyde fixation (typically 4%) shows excellent results for preserving NEK2 subcellular localization
Consider co-staining with cytoskeletal markers (e.g., alpha-tubulin) to provide structural context for NEK2 localization
For Immunohistochemistry-Paraffin:
Standard formalin fixation and paraffin embedding protocols are suitable
Antigen retrieval methods should be optimized, with citrate buffer (pH 6.0) often proving effective
NEK2 detection has been successfully demonstrated in human ovarian carcinoma tissue sections
Researchers frequently encounter variability in NEK2 antibody performance across different biological samples. To address these discrepancies:
Optimize antibody concentration for each sample type: The recommended dilution ranges (1:500-1:3000 for WB, 1:100-1:1000 for IHC/ICC) should be further refined for specific samples
Implement tissue-specific protocols: Different tissues may require modified fixation times, antigen retrieval methods, or blocking conditions
Consider species cross-reactivity: Confirm antibody compatibility with your experimental model. For instance, some NEK2 antibodies demonstrate cross-reactivity with both human and mouse samples
Account for protein modifications: NEK2 undergoes various post-translational modifications that may affect epitope accessibility. As noted in product documentation: "The observed molecular weight of the protein may vary from the listed predicted molecular weight due to post-translational modifications, post-translation cleavages, relative charges, and other experimental factors"
Validate with multiple detection methods: When possible, confirm findings using complementary techniques (e.g., WB findings with IHC or IF)
NEK2 participates in numerous protein-protein interactions critical for its function in cell cycle regulation. Advanced applications for studying these interactions include:
Co-immunoprecipitation (Co-IP): Use NEK2 antibodies to pull down NEK2 and associated protein complexes
Optimization steps should include:
Crosslinking considerations
Buffer composition to maintain complex integrity
Appropriate controls to distinguish specific from non-specific interactions
Proximity Ligation Assay (PLA): Detect in situ NEK2 interactions with specific partners
Requires careful selection of antibody pairs from different host species
Provides spatial information about interaction events
Immunofluorescence co-localization studies:
Chromatin Immunoprecipitation (ChIP): For studying NEK2 interactions with chromatin (particularly relevant for nuclear isoform)
When designing such experiments, critical controls should include:
IgG isotype controls
Antigen competition controls
Input sample verification
Validation using multiple antibodies or tagged proteins
Researchers may encounter contradictory results when using NEK2 antibodies across different experimental systems. To systematically resolve these discrepancies:
Perform epitope mapping analysis: Determine if the NEK2 antibody recognizes epitopes that may be masked in certain contexts or experimental conditions
Evaluate isoform specificity: Since NEK2 exists in multiple isoforms with different subcellular localizations (nucleus/nucleolus for isoform 1, cytoplasm for isoform 2) , confirm whether your antibody recognizes all or specific isoforms
Address potential cross-reactivity: While antibody specificity is critical, a systematic approach similar to that used in analyzing cross-metal reactivity in antibody binding studies can be applied to evaluate potential cross-reactivity with related kinases
Implement Bio-Layer Interferometry: This technique, as described in research on antibody specificity , can quantitatively measure association, dissociation, and equilibrium dissociation rate constants to precisely characterize antibody-antigen interactions
Consider experimental context differences: Cell cycle phase, stress conditions, and other biological variables can significantly impact NEK2 expression, modification, and localization
For quantitative analysis of NEK2 expression in pathological conditions:
Establish standardized quantification protocols:
For Western blot: Use appropriate loading controls and standard curves
For IHC: Implement digital pathology scoring systems with defined intensity thresholds
Apply multiplexed detection approaches:
Combine NEK2 detection with disease-specific markers
Utilize fluorescence-based multiplexing for co-expression analysis
Consider reference standards and controls:
Include positive control samples with known NEK2 expression levels
Use tissue microarrays for comparative analysis across multiple samples
Statistical analysis considerations:
Account for biological and technical variability
Apply appropriate normalization methods
Use statistical tests suitable for the data distribution
Recent advances in computational approaches offer powerful tools for optimizing antibody selection and design, applicable to NEK2 research:
Biophysics-informed modeling: Similar to methods described for designing antibodies with custom specificity profiles , computational models can predict and optimize NEK2 antibody binding properties
Energy function optimization: The approach of minimizing energy functions associated with desired binding modes while maximizing those associated with undesired interactions can be applied to generate NEK2 antibodies with enhanced specificity
Integration of experimental and computational data: Combining phage display selection data with computational modeling allows for:
Prediction of binding outcomes for novel antibody sequences
Design of antibodies with customized NEK2 specificity profiles
Mitigation of experimental artifacts and biases
Epitope mapping predictions: Computational approaches can identify potential epitopes on NEK2 that maintain accessibility across different conformational states or in various cellular contexts
Development of multiplex assays that include NEK2 detection requires careful consideration of several factors:
Antibody compatibility assessment:
Evaluate potential cross-reactivity between antibodies in the panel
Ensure buffer compatibility across all detection reagents
Test for signal interference between different detection channels
Technical optimization strategies:
Titrate each antibody individually before combining
Establish appropriate blocking conditions to minimize background
Determine optimal incubation sequences and timing
Validation parameters:
Compare multiplex results with single-plex detection
Include appropriate positive and negative controls for each target
Assess reproducibility across technical and biological replicates
Data analysis approaches:
Implement automated image analysis algorithms for consistent quantification
Apply appropriate compensation matrices for spectral overlap
Develop integrated data visualization tools for complex datasets
This approach enables researchers to simultaneously analyze NEK2 expression alongside other biomarkers of interest, providing more comprehensive insights into biological processes and disease mechanisms.
To ensure reproducibility and transparency in NEK2 antibody research, publications should include:
Comprehensive antibody documentation:
Detailed methodological reporting:
Exact dilutions used for each application
Complete sample preparation protocols
Incubation conditions (time, temperature, buffer composition)
Detection systems employed
Image acquisition parameters
Validation evidence:
Specificity controls implemented
Representative images of positive and negative controls
Quantification methods and statistical analyses
This level of documentation facilitates experimental reproduction, enables meaningful comparison between studies, and advances the collective understanding of NEK2 biology and pathology.
To develop a comprehensive understanding of NEK2 biology, researchers should integrate antibody-based findings with complementary approaches:
Correlative analysis strategies:
Compare protein detection (via antibodies) with mRNA expression data
Integrate antibody-based localization with live-cell imaging of tagged proteins
Correlate protein levels with functional assays
Multi-omics integration approaches:
Combine proteomics with transcriptomics and genomics data
Interface NEK2 protein expression with phosphoproteomics to assess kinase activity
Correlate protein detection with metabolic or epigenetic datasets
Functional validation methods:
Complement antibody detection with genetic modulation (overexpression, knockdown)
Pair protein localization studies with enzymatic activity assays
Connect structural studies with interaction mapping