RIPK2 (Receptor-Interacting Protein Kinase 2) is a serine/threonine/tyrosine kinase crucial for modulating innate and adaptive immune responses. Activation, triggered by bacterial peptidoglycans via NOD1 and NOD2, leads to RIPK2 oligomerization and recruitment to NOD1/NOD2 through CARD-CARD domain interactions. This process contributes to tyrosine phosphorylation of the guanine exchange factor ARHGEF2 (via Src kinase), ultimately activating NF-κB. Following recruitment, RIPK2 undergoes autophosphorylation and Lys-63-linked polyubiquitination by E3 ubiquitin ligases XIAP, BIRC2, and BIRC3. This polyubiquitinated RIPK2 facilitates the recruitment of MAP3K7/TAK1 to IKBKG/NEMO, inducing Lys-63-linked polyubiquitination of IKBKG/NEMO and subsequent activation of IKBKB/IKKB. Consequently, NF-κB is released from its inhibitors, translocates to the nucleus, and activates transcription of numerous genes involved in immune responses, growth regulation, and apoptosis prevention. RIPK2 also plays a role in T-cell receptor (TCR) engagement, promoting BCL10 phosphorylation and NF-κB activation, and in the inactivation of RHOA in response to NGFR signaling.
RIPK2 (Receptor-interacting serine/threonine-protein kinase 2) is a 540 amino acid kinase that plays an essential role in modulating both innate and adaptive immune responses. As an adapter protein, it functions as a critical downstream signaling molecule for Nucleotide-binding-oligomerization-domain-containing proteins 1 and 2 (NOD1 and NOD2) that recognize bacterial peptidoglycans . Upon NOD1/2 activation, RIPK2 mediates the release of pro-inflammatory factors by activating mitogen-activated protein kinases (MAPKs) and nuclear factor-kappa B (NF-κB) . The significance of RIPK2 extends beyond immune regulation to potential roles in inflammatory diseases and cancer, making it an important target for antibody-based research applications.
RIPK2 exhibits broad tissue distribution, being detected in heart, brain, placenta, lung, peripheral blood leukocytes, spleen, kidney, testis, prostate, pancreas, and lymph nodes . At the cellular level, RIPK2 is highly expressed in immune cells including macrophages and microglial cells, where it mediates inflammatory responses to bacterial components such as muramyl dipeptide (MDP) . When selecting appropriate positive controls for RIPK2 antibody validation, cell lines such as Ramos (human Burkitt's lymphoma), HeLa (human cervical epithelial carcinoma), HEK-293T, and THP-1 cells have been demonstrated to express detectable levels of RIPK2 protein .
Approximately 62 kDa band in Ramos and HeLa cell lines under reducing conditions
Observed molecular weight ranges of 46-55 kDa and 61-72 kDa reported in various cell types
These variations may reflect post-translational modifications, particularly ubiquitination at multiple sites (K209, K410, and K538) , or potential isoforms. When troubleshooting Western blot applications, researchers should consider that the RIPK2 band pattern might change upon activation, with an "upshift" sometimes observed following bacterial infection or pathway stimulation .
For optimal antibody performance and longevity:
Store RIPK2 antibodies at -20°C to -70°C for long-term storage (12 months from receipt)
For reconstituted antibodies, maintain at 2-8°C under sterile conditions for short-term use (up to 1 month)
For extended storage after reconstitution, aliquot and store at -20°C to -70°C (stable for up to 6 months)
Use manual defrost freezers and avoid repeated freeze-thaw cycles which can compromise antibody integrity
Some formulations include stabilizers such as PBS with 0.02% sodium azide and 50% glycerol (pH 7.3) to enhance stability
The preparation of small aliquots is generally unnecessary for -20°C storage of antibodies in protective buffer formulations containing glycerol .
For successful Western blot detection of RIPK2:
Sample Preparation:
Primary Antibody Protocol:
Recommended dilutions range from 1:1000 to 1:8000 depending on the specific antibody
Incubate with appropriate blocking buffer (Western Blot Buffer Group 1 has been validated)
Detection:
Use HRP-conjugated secondary antibody corresponding to the primary antibody host species
Visualize using enhanced chemiluminescence
Expected band size approximately 62 kDa, though multiple bands may appear due to post-translational modifications
When analyzing results, be aware that RIPK2 often displays an "upshift" pattern upon activation, which can serve as an indicator of its functional status within signaling pathways .
Several approaches can be employed to assess RIPK2 activation status:
Phospho-specific antibodies: Use antibodies targeting phosphorylation sites, particularly tyrosine-474, which is an autophosphorylation site indicative of active RIPK2 .
Mobility shift analysis: Active RIPK2 often displays an upshift in molecular weight on Western blots due to post-translational modifications, particularly ubiquitination .
Kinase activity assays:
Ubiquitination status: Active RIPK2 undergoes extensive K63-, K27- and M1-linked ubiquitination mediated by XIAP .
For research specifically focused on inflammatory pathways, activation can be confirmed by measuring downstream effects, such as phosphorylation of p65 NF-κB and p38 MAPK, which are completely blocked when RIPK2 is inhibited .
To effectively activate RIPK2 in experimental models:
Muramyl dipeptide (MDP): The primary agonist of NOD2 that robustly activates RIPK2-dependent signaling. In microglia, MDP has been shown to increase pro-inflammatory gene expression of Nos2, Il-1β, Tnfα, Il6, and Mmp9 in a concentration-dependent manner .
Bacterial infection: Direct infection with bacteria containing peptidoglycan structures recognized by NOD1/2 receptors can activate RIPK2 pathways .
NOD1 agonists: While less represented in the search results, NOD1-specific activators can also engage RIPK2-dependent pathways.
Recombinant proteins: Purified recombinant RIPK2 can be used in in vitro kinase assays to study intrinsic activity .
It's important to note that lipopolysaccharide (LPS), while activating inflammatory pathways, primarily signals through TLR4 and appears to activate inflammatory responses largely independent of RIPK2 in microglial cells .
Multi-parameter validation approaches include:
Positive and negative controls:
Molecular weight verification:
Orthogonal detection methods:
Functional validation:
Sequential immunoprecipitation:
Perform IP with one RIPK2 antibody followed by Western blot with another targeting a different epitope
The gold standard for antibody validation includes testing in samples where the target protein has been genetically depleted through CRISPR/Cas9 or siRNA approaches .
RIPK2 antibodies serve as valuable tools for dissecting the relative contributions of NOD1/2 and TLR signaling pathways in inflammatory responses:
Differential pathway analysis:
Protein interaction studies:
Use co-immunoprecipitation with RIPK2 antibodies to identify differential binding partners in NOD1/2 versus TLR pathways
Combine with mass spectrometry for unbiased interactome analysis
Phosphorylation status:
Employ phospho-specific antibodies to monitor differential activation patterns
Compare RIPK2 phosphorylation kinetics between NOD and TLR stimulation
Research has revealed that RIPK2 plays a crucial role in NOD2-mediated signaling in response to MDP, but its contribution to TLR4-mediated responses to LPS appears limited . When designing experiments to address this controversy, researchers should use highly purified ligands to avoid cross-contamination issues that may confound interpretation .
RIPK2 undergoes extensive ubiquitination as a critical regulatory mechanism:
XIAP-dependent ubiquitination:
Experimental approaches:
Immunoprecipitate RIPK2 using specific antibodies followed by Western blotting with anti-ubiquitin antibodies
Use linkage-specific ubiquitin antibodies to distinguish K63-, K27-, and M1-linked chains
Manipulate XIAP levels using siRNA knockdown or SMAC overexpression to study impact on RIPK2 ubiquitination
Monitor RIPK2 localization to detergent-insoluble cytosolic complexes upon activation
Functional consequences:
Correlation between ubiquitination status and downstream signaling events
Impact on protein-protein interactions and complex formation
Effects on RIPK2 kinase activity and substrate specificity
Understanding the ubiquitination dynamics of RIPK2 is essential for developing targeted therapeutics that may modulate inflammatory responses in diseases associated with NOD1/2 signaling dysregulation .
RIPK2 antibodies serve critical functions in cancer research:
Activation status assessment:
Correlation with disease progression:
Methodology for activity measurement:
Potential as diagnostic biomarker:
Immunohistochemical detection of activated RIPK2 in patient samples
Correlation with clinical parameters and outcomes
These applications suggest that RIPK2 may serve as both a biomarker and potential therapeutic target in inflammatory forms of cancer .
Several approaches for RIPK2 inhibition include:
PROTAC-mediated degradation:
Kinase inhibitors:
Genetic approaches:
Disruption of protein-protein interactions:
When selecting inhibition strategies, researchers should consider that some RIPK2 inhibitors may have dual mechanisms - directly inhibiting kinase activity while also blocking the interaction with XIAP , which could affect experimental interpretation.
Multiple bands in RIPK2 Western blots may result from:
Post-translational modifications:
Protein isoforms:
Alternative splice variants
Proteolytic processing
Experimental parameters:
Incomplete denaturation of protein complexes
Protein degradation during sample preparation
Cross-reactivity with related proteins in the RIP kinase family
Comprehensive approach to resolving multiple band issues:
Compare patterns across multiple antibodies targeting different epitopes
Include positive controls with known RIPK2 expression
Perform phosphatase or deubiquitinase treatment of lysates
Use knockout or knockdown samples to confirm specificity
Observed molecular weight ranges of 46-55 kDa and 61-72 kDa have been reported in literature , with the expected molecular weight of unmodified RIPK2 being approximately 61 kDa.
When facing discrepancies in RIPK2 data:
Distinguish between expression and activation:
RIPK2 protein levels (detected by total RIPK2 antibodies) may not correlate with activity
Phosphorylation and ubiquitination status (detected by modification-specific antibodies) reflect activation
Kinase activity assays measure functional output independent of modifications
Consider cell type and context specificities:
Methodological reconciliation:
Compare protein levels (Western blot) with kinase activity (ADP-Glo, Transcreener assays)
Assess downstream signaling events (NF-κB activation, cytokine production)
Examine RIPK2 localization changes using fractionation or microscopy
Temporal considerations:
When publishing potentially conflicting results, clearly document experimental conditions, stimuli concentrations, timing, and cell types to facilitate accurate interpretation and reproducibility.
For rigorous immunohistochemical detection of RIPK2:
Positive tissue controls:
Negative tissue controls:
Technical controls:
Omission of primary antibody
Isotype control antibody at matching concentration
Concentration gradients to determine optimal antibody dilution
Antigen retrieval optimization
Validation controls:
Peptide competition assays to confirm specificity
Correlation with Western blot data from the same samples
Comparison of staining with multiple antibodies targeting different epitopes
Biological interpretation controls:
For accurate scoring and interpretation, develop a standardized evaluation system considering staining intensity, percentage of positive cells, and subcellular localization patterns.
RIPK2 antibodies offer valuable insights in neuroinflammatory research:
Microglial activation studies:
Pathway-specific neuroinflammation:
Distinguish between NOD-dependent and TLR-dependent inflammatory responses in CNS
Investigate differential roles in acute versus chronic neuroinflammation
Experimental approaches:
Immunohistochemical detection in brain tissue from neurological disease models
Flow cytometry of isolated microglia to quantify RIPK2 activation
Western blot analysis of brain region-specific RIPK2 signaling
Therapeutic target identification:
Correlation between RIPK2 activation and disease progression
Testing RIPK2 inhibitors or PROTACs in neuroinflammatory models
Combining with behavioral assessments to link molecular changes to functional outcomes
The importance of RIPK2 in microglial NOD2 signaling suggests potential relevance to neurological diseases with infectious or inflammatory components, including multiple sclerosis, Alzheimer's disease, and neurological manifestations of inflammatory bowel disease .
Recent developments in high-throughput RIPK2 research include:
Transcreener RIPK2 Assay:
Assay performance metrics:
PROTAC screening applications:
Inhibitor screening platforms:
These technologies facilitate the discovery of new modulators of RIPK2 activity with potential therapeutic applications in inflammatory and immune-related disorders.
Phospho-specific RIPK2 antibodies provide crucial insights into activation mechanisms:
Key phosphorylation sites:
Temporal signaling analysis:
Time-course experiments using phospho-antibodies reveal activation kinetics
Correlation between phosphorylation patterns and downstream signaling events
Advanced applications:
Intracellular flow cytometry for single-cell analysis of RIPK2 activation
Multiplexed imaging to correlate RIPK2 phosphorylation with other pathway components
Phosphoproteomics integration for comprehensive signaling network analysis
Clinical correlations:
Phospho-specific antibodies have demonstrated utility in distinguishing inflammatory breast cancer from non-IBC cell lines and tissues, suggesting potential diagnostic applications beyond basic research .
For successful RIPK2 immunoprecipitation:
Antibody selection and amount:
Lysis conditions:
Co-immunoprecipitation considerations:
Gentler lysis conditions may be required to maintain native complex interactions
Cross-linking may help capture transient interactions
Controls:
Include isotype control antibodies
Use RIPK2-deficient cells as negative controls
Include input samples for quantitative assessment
Detection strategy:
Western blot with a different RIPK2 antibody recognizing a distinct epitope
Mass spectrometry for unbiased identification of interacting partners
For studying ubiquitination, include deubiquitinase inhibitors in lysis buffers. When investigating phosphorylation, incorporate phosphatase inhibitors to preserve modification status during sample preparation.
Multiple complementary approaches ensure accurate RIPK2 quantification:
Protein expression quantification:
Western blot with housekeeping protein normalization
ELISA for absolute quantification
Mass spectrometry for label-free or labeled quantification
Activity assessment:
Standardization considerations:
Include recombinant RIPK2 standards
Validate antibody linear range
Use multiple cell lines with known RIPK2 expression levels as references
Functional readouts:
When publishing quantitative RIPK2 data, clearly report normalization methods, antibody dilutions, exposure parameters, and calculation approaches to ensure reproducibility across research groups.
When facing antibody inconsistencies:
Epitope mapping and comparison:
Identify the specific regions recognized by each antibody
Assess potential epitope masking by protein interactions or modifications
Consider accessibility of epitopes in different experimental conditions
Validation using multiple detection methods:
Compare results across techniques (WB, IF, IP, IHC)
Verify with orthogonal non-antibody based methods (mass spectrometry)
Correlate with functional readouts of RIPK2 activity
Systematic troubleshooting:
Test different sample preparation methods
Optimize blocking conditions and antibody dilutions
Compare different secondary antibody detection systems
Definitive validation:
Test all antibodies in RIPK2 knockout/knockdown samples
Use peptide competition assays
Evaluate antibody performance in overexpression systems
Reporting and transparency:
Document batch numbers and full antibody details
Report all optimization steps and conditions
Share negative or inconsistent results to advance field knowledge
When conducting multi-antibody comparisons, create a systematic validation matrix documenting performance across applications, cell types, and conditions to guide optimal antibody selection for specific research questions.