The ROCK2 Antibody, FITC conjugated, is a rabbit polyclonal antibody specifically designed to detect the Rho-associated protein kinase 2 (ROCK2) protein. This antibody is conjugated with fluorescein isothiocyanate (FITC), enabling fluorescence-based detection methods such as immunofluorescence (IF) and flow cytometry. ROCK2 is a serine/threonine kinase involved in actin cytoskeleton regulation, smooth muscle contraction, and signaling pathways critical for immune responses and cellular differentiation .
The ROCK2 Antibody, FITC conjugated, is validated for diverse methodologies:
While the FITC-conjugated antibody is primarily a detection tool, ROCK2 itself is implicated in critical pathways:
p22phox and NADPH Oxidase: ROCK2 binds p22phox in monocytes, phosphorylating p47phox to activate NADPH oxidase and reactive oxygen species (ROS) production .
STAT3 and JAK2: ROCK2 interacts with phosphorylated STAT3, facilitating JAK2/STAT3 complex formation and TH17/T follicular helper (TFH) cell differentiation .
ROCK2 (Rho-associated coiled-coil containing protein kinase 2) is a serine-threonine protein kinase that functions as a key regulator of actin cytoskeleton organization and cell polarity. ROCK2 is involved in multiple cellular processes including smooth muscle contraction, stress fiber formation, focal adhesion formation, neurite retraction, and cell adhesion/motility. It exerts these effects through phosphorylation of various substrates including ADD1, BRCA2, CNN1, EZR, DPYSL2, EP300, MSN, MYL9/MLC2, NPM1, RDX, PPP1R12A, and VIM . ROCK2 also plays critical roles in centrosome duplication, regulation of hippocampal spine and synaptic properties, and acts as a negative regulator of VEGF-induced angiogenic endothelial cell activation .
The ROCK2 antibody, FITC conjugated, is a rabbit polyclonal antibody against ROCK2 that has been directly labeled with fluorescein isothiocyanate (FITC), enabling direct fluorescent detection without requiring secondary antibodies. This conjugation allows for direct visualization of ROCK2 protein in applications such as flow cytometry, immunofluorescence microscopy, and ELISA . The antibody specifically targets human ROCK2 protein and is generated using a recombinant human Rho-associated protein kinase 2 immunogen corresponding to amino acids 1109-1388 . The FITC conjugation enables one-step detection protocols with green fluorescence emission when excited with appropriate wavelengths, streamlining experimental workflows and allowing for multicolor analysis when combined with other differently-conjugated antibodies.
| Application | Recommended Dilution | Sample Types | Detection Method |
|---|---|---|---|
| ELISA | 1:1000 - 1:5000 | Protein lysates | Fluorescence plate reader |
| Dot Blot | 1:1000 | Purified protein/lysates | Fluorescence imaging |
| Flow Cytometry* | 1:50 - 1:100 | Cell suspensions | Fluorescence detection |
| Immunofluorescence* | 1:100 - 1:500 | Fixed cells/tissues | Fluorescence microscopy |
*Applications may require optimization beyond manufacturer's recommendations .
When investigating ROCK2 function in germinal center (GC) B cell responses, a comprehensive experimental design should incorporate both in vivo and in vitro approaches based on established methodologies:
Mouse models: Utilize conditional knockout models such as CD23-Rock2 (B cell-specific deletion) or Cγ1-Rock2 (GC B cell-specific deletion) mice compared with wild-type controls .
Immunization protocol: Immunize mice with T cell-dependent antigens (e.g., NP-KLH) and analyze responses at days 7, 10, and 14 post-immunization to capture the dynamics of GC formation and maintenance .
Flow cytometry analysis: Design panels to identify:
Antibody titer assessment: Measure antigen-specific antibody responses using ELISA with different antigen densities (NP>30 for total and NP<8 for high-affinity antibodies) to distinguish affinity maturation effects .
Controls: Include both genetic controls (wild-type littermates) and experimental controls (isotype control antibodies, FMO controls for flow cytometry) .
To obtain robust data, assess both humoral immune responses and cellular phenotypes, comparing proliferation rates, class switching efficiency, and antibody production between ROCK2-deficient and wild-type B cells .
For optimal intracellular ROCK2 staining using FITC-conjugated antibodies, the fixation and permeabilization protocol must preserve cellular architecture while allowing antibody access to intracellular targets. Based on research practices with ROCK2 and similar cytoskeletal proteins, the following protocol is recommended:
Cell preparation:
Adhere cells to appropriate substrate (coverslips for adherent cells)
Wash twice with PBS (pH 7.4) to remove media components
Fixation options:
Paraformaldehyde fixation: 4% PFA for 15 minutes at room temperature (preferred for morphological preservation)
Methanol fixation: 100% ice-cold methanol for 10 minutes at -20°C (better for some epitope exposure)
Permeabilization methods (select based on application):
| Permeabilization Agent | Concentration | Incubation Time | Best For |
|---|---|---|---|
| Triton X-100 | 0.1-0.3% | 10 min, RT | Strong permeabilization for cytoskeletal proteins |
| Saponin | 0.1% | 15 min, RT | Milder permeabilization, better preservation |
| Methanol-Acetone (1:1) | 100% | 10 min, -20°C | Combined fixation/permeabilization |
Blocking: 5% normal serum (species different from antibody source) with 1% BSA in PBS for 30-60 minutes
Antibody incubation:
Dilute FITC-conjugated ROCK2 antibody in blocking buffer (typically 1:100-1:500)
Incubate 1-2 hours at room temperature or overnight at 4°C in a humidified chamber
Perform 3x5 minute washes with PBS-T (0.05% Tween-20)
Counterstaining: Use DAPI (1μg/ml) for nuclear visualization and phalloidin (non-green fluorophore) for F-actin co-localization studies
This protocol should be optimized for specific cell types and experimental conditions.
Validating antibody specificity is critical for ensuring reliable experimental results. For ROCK2 antibody validation, a multi-pronged approach should be implemented:
Positive and negative control samples:
Genetic manipulation approaches:
siRNA/shRNA knockdown: Compare staining intensity between ROCK2-silenced and control cells
CRISPR/Cas9 knockout: Generate ROCK2-null cells for definitive negative controls
Overexpression: Detect increased signal in ROCK2-overexpressing cells
Peptide competition assay:
Cross-validation with multiple antibodies:
Western blot verification:
Signal localization assessment:
Document all validation steps methodically to provide comprehensive evidence of antibody specificity in your experimental system.
Investigating the distinct roles of ROCK1 versus ROCK2 in cytoskeletal regulation requires experimental approaches that can differentiate between these highly homologous isoforms. FITC-conjugated ROCK2 antibody can be strategically deployed in the following experimental design:
Comparative immunofluorescence studies:
Selective inhibition experiments:
Stimulus-specific activation analysis:
Knockout/knockdown rescue experiments:
Substrate phosphorylation analysis:
Following selective inhibition or knockdown, analyze phosphorylation of ROCK2 substrates:
| Substrate | Molecular Weight | ROCK2 Specificity | Assay Method |
|---|---|---|---|
| MYPT1 (Thr853) | 130 kDa | Partial | Western blot/IF |
| MLC (Ser19) | 20 kDa | Shared | Western blot/IF |
| LIMK1/2 | 70/72 kDa | ROCK2 dominant | Western blot/IF |
| Cofilin | 19 kDa | Downstream | Western blot/IF |
This approach enables determination of ROCK2-specific cytoskeletal regulatory functions distinct from ROCK1 .
Analyzing ROCK2 activity in primary immune cells presents unique challenges due to their non-adherent nature, heterogeneity, and limited availability. The following strategies optimize the use of FITC-conjugated ROCK2 antibodies for immune cell research:
Flow cytometry-based approaches:
Primary B cell experimental design:
ROCK2 activity in germinal center response:
Ex vivo culture system optimization:
Microscopy adaptations for suspension cells:
Use poly-L-lysine coated slides for temporary adherence
Implement gentle cytospin preparation methods (low speed)
Consider advanced techniques like Amnis ImageStream (combines flow cytometry with imaging)
Combined phenotypic and molecular readouts:
Collect data on cellular parameters affected by ROCK2:
| Parameter | Technique | Expected ROCK2 Effect |
|---|---|---|
| B cell proliferation | BrdU incorporation | Decreased in ROCK2-deficient cells |
| Class switching | Flow cytometry (IgG1+) | Reduced in absence of ROCK2 |
| Germinal center formation | Immunohistochemistry | Diminished without ROCK2 |
| Antibody affinity | Differential ELISA (NP>30 vs NP<8) | Lower affinity without ROCK2 |
These approaches enable comprehensive assessment of ROCK2 activity in primary immune cells while addressing their specific biological characteristics .
To investigate ROCK2's role in liver fibrosis utilizing FITC-conjugated antibodies, a comprehensive experimental approach integrating in vivo models, ex vivo analyses, and mechanistic studies is recommended:
Animal model selection and design:
Utilize the thioacetamide (TAA)-induced liver fibrosis model, which closely resembles human hepatitis with mild ALT/AST elevation despite fibrosis development
Design both prevention (KD025 administered before fibrosis induction) and treatment (KD025 administered after established fibrosis) protocols
Include appropriate controls and analyze at multiple timepoints (early inflammation, established fibrosis, resolution phase)
Tissue analysis protocol:
Prepare liver sections for histology (H&E, Sirius Red) and immunofluorescence
Use ROCK2-FITC antibody in conjunction with markers for:
Quantify ROCK2 expression across different cell populations using digital image analysis
Flow cytometry characterization:
Mechanistic studies on immune cell function:
Correlation of ROCK2 activity with disease progression:
Track the following parameters in relation to ROCK2 expression/inhibition:
| Parameter | Method | Expected Change with ROCK2 Inhibition |
|---|---|---|
| Myeloid cell infiltration | Flow cytometry | Significant decrease |
| T cell populations | Flow cytometry | Significant decrease |
| Fibrosis extent | Sirius Red/collagen quantification | Reduced deposition |
| Stellate cell activation | α-SMA immunofluorescence | Decreased activation |
| Profibrotic gene expression | qRT-PCR | Downregulation |
This experimental framework enables comprehensive assessment of ROCK2's role in liver fibrosis progression and reveals potential therapeutic mechanisms of ROCK2 inhibition .
Working with FITC-conjugated ROCK2 antibodies presents several technical challenges that can impact experimental results. Below are common issues researchers encounter and recommended solutions:
Photobleaching:
Issue: FITC fluorophore is susceptible to rapid photobleaching during image acquisition
Solutions:
Autofluorescence interference:
Issue: Cellular autofluorescence in the green channel, particularly in liver, brain tissues, or fixed cells
Solutions:
Fixation-dependent epitope masking:
Background staining:
Issue: Non-specific binding resulting in high background
Solutions:
Signal intensity issues:
Issue: Weak ROCK2 signal despite optimized protocols
Troubleshooting approach:
| Problem | Possible Cause | Solution |
|---|---|---|
| Weak signal | Low ROCK2 expression | Validate in known ROCK2-expressing control |
| Insufficient permeabilization | Increase detergent concentration/time | |
| Excessive fixation | Reduce fixation time | |
| Antibody over-dilution | Titrate antibody concentration | |
| No signal | Incorrect storage | Verify antibody storage conditions |
| Photobleaching | Protect from light, use anti-fade | |
| Wrong filter set | Confirm using proper FITC filter set |
Co-staining compatibility:
Implementing these problem-solving approaches will significantly improve the quality and reliability of ROCK2 detection using FITC-conjugated antibodies.
Quantitative assessment of ROCK2 expression and activity in complex tissues requires rigorous methodology combining appropriate sample preparation, image acquisition, and analytical approaches:
Sample preparation optimization:
Standardize tissue collection and fixation (10% neutral buffered formalin, 24h)
Use consistent sectioning thickness (5-7μm for paraffin, 8-12μm for frozen)
Perform antigen retrieval using calibrated protocols (citrate buffer pH 6.0, 95°C, 20 min)
Include positive control tissues with known ROCK2 expression in each batch
Multi-channel immunofluorescence design:
ROCK2-FITC antibody combined with cell-type specific markers:
α-SMA for myofibroblasts/stellate cells
CD68 for macrophages
CK19 for biliary epithelium
CD31 for endothelial cells
Include phospho-specific antibodies against ROCK2 substrates (pMYPT1, pMLC) to assess activity
Image acquisition standardization:
Capture multiple random fields per sample (minimum 5-10 fields)
Standardize exposure settings within each experiment
Use identical magnification and resolution across all samples
Include calibration standards for fluorescence intensity normalization
Implement z-stack acquisition for thick tissue sections (0.5-1μm steps)
Quantitative analysis approaches:
Cell-level quantification:
Segment individual cells using nuclear and membrane markers
Measure ROCK2-FITC intensity within each cell boundary
Classify cells by type based on lineage markers
Calculate mean fluorescence intensity (MFI) for each cell population
Tissue-level assessment:
Measure percentage of ROCK2-positive area relative to total tissue area
Quantify co-localization coefficients (Pearson's, Mander's) between ROCK2 and activity markers
Assess spatial relationships between ROCK2+ cells and pathological features
Analytical workflow for ROCK2 activity assessment:
| Step | Method | Output Measurement |
|---|---|---|
| Tissue segmentation | Automated algorithms/manual annotation | Region of interest maps |
| Cell identification | Nuclear segmentation + membrane detection | Cell count, area, shape metrics |
| ROCK2 quantification | Fluorescence intensity measurement | Mean/median intensity, integrated density |
| Activity assessment | Co-localization with phospho-substrates | Pearson's coefficient (r), overlap coefficient |
| Spatial analysis | Nearest neighbor analysis | Clustering indices, distance measurements |
| Statistical validation | Mixed effects models accounting for within-sample correlation | p-values, confidence intervals |
Advanced approaches:
This comprehensive quantitative approach enables robust assessment of ROCK2 expression and activity across different cell types within complex tissue environments.
Resolving contradictions between ROCK2 antibody staining patterns and functional assay results requires systematic troubleshooting and integrated analysis approaches:
Verification of antibody specificity and sensitivity:
Confirm antibody detects the correct isoform using ROCK2 knockout/knockdown controls
Evaluate potential cross-reactivity with ROCK1 (which shares ~65% sequence homology)
Test multiple ROCK2 antibodies targeting different epitopes (N-terminal, C-terminal, internal domains)
Perform Western blotting to confirm antibody detects a single band of appropriate size (160 kDa)
Assessment of ROCK2 activation state versus expression level:
ROCK2 protein presence (detected by antibody) may not correlate with kinase activity
Implement activity-specific readouts:
Temporal dynamics analysis:
Reconciliation strategies for specific contradiction scenarios:
| Contradiction Type | Possible Causes | Investigation Approach |
|---|---|---|
| High ROCK2 staining but low activity | Inhibitory phosphorylation | Assess inhibitory modifications (Y722) |
| Regulatory protein binding | Co-IP for negative regulators (RhoE) | |
| Improper localization | Examine subcellular distribution | |
| Low ROCK2 staining but high activity | Antibody epitope masking | Test alternative antibodies |
| Enhanced specific activity | Measure ROCK2:substrate ratios | |
| Contribution from ROCK1 | Use isoform-specific inhibitors | |
| Regional discrepancies | Cell type-specific regulation | Co-stain with cell type markers |
| Microenvironmental influences | Assess spatial relationship to stimuli |
Integrated validation approach:
Combine genetic approaches with pharmacological inhibition:
Compare ROCK2 knockdown/knockout phenotypes with selective inhibitor (KD025) effects
Utilize rescue experiments with wild-type versus kinase-dead ROCK2
Correlate with physiological outcomes in disease models:
Technical considerations for resolving contradictions:
Standardize experimental conditions (cell density, passage number, stimulation protocols)
Account for heterogeneity in mixed cell populations using single-cell approaches
Consider three-dimensional versus two-dimensional culture effects on ROCK2 activity
Implement rigorous statistical analysis accounting for biological variability
This systematic approach identifies the source of contradictions between antibody staining and functional outcomes, leading to more accurate interpretation of ROCK2 biology in complex experimental systems.
Emerging applications of ROCK2 antibodies in immunological disorder research present significant opportunities for mechanistic insights and therapeutic development. These cutting-edge approaches extend beyond traditional applications:
Single-cell multi-omics integration:
Combine ROCK2 antibody-based flow cytometry with single-cell RNA sequencing
Correlate ROCK2 protein levels with transcriptional profiles in immune subpopulations
Identify cell-specific regulatory networks influenced by ROCK2 in autoimmune conditions
Map ROCK2-dependent gene expression signatures across T cell and B cell subsets
Spatial immunoprofiling in tissue microenvironments:
Apply multiplexed immunofluorescence with ROCK2 antibodies to lymphoid tissues
Map spatial relationships between ROCK2+ cells and disease-specific structures
Analyze ROCK2 expression in tertiary lymphoid structures within inflamed tissues
Correlate ROCK2 activity with immune cell migration and positioning in germinal centers
ROCK2-focused precision medicine approaches:
Develop ROCK2 activity assays as biomarkers for predicting response to therapy
Stratify patients based on ROCK2 expression/activation patterns in immune cells
Design targeted therapeutic strategies based on ROCK2 pathway dysregulation
Monitor ROCK2 activity as a pharmacodynamic marker during clinical trials
Novel applications in specific immunological disorders:
| Disorder | ROCK2 Antibody Application | Potential Impact |
|---|---|---|
| Systemic Lupus Erythematosus | T cell ROCK2 activity profiling | Identify patients likely to respond to ROCK2 inhibition |
| Inflammatory Bowel Disease | Intestinal immune cell ROCK2 mapping | Correlate with barrier function and microbiome interactions |
| Multiple Sclerosis | ROCK2 activity in CNS-infiltrating T cells | Determine contribution to neuroinflammation |
| Allergic Asthma | ROCK2 in lung-resident immune cells | Connect to airway hyperresponsiveness mechanisms |
Therapeutic antibody engineering:
Mechanistic studies of ROCK2 in immune regulation:
Investigate ROCK2's role in B cell receptor signaling and antigen presentation
Map phosphoproteomic changes downstream of ROCK2 in immune cells
Define ROCK2-dependent cytoskeletal reorganization during immune synapse formation
Elucidate mechanisms of ROCK2 contribution to germinal center organization and function
These emerging applications of ROCK2 antibodies could significantly advance understanding of immunological disorders by revealing new pathogenic mechanisms and therapeutic opportunities.
Advances in imaging technologies are revolutionizing the applications of fluorescently labeled antibodies, including ROCK2 antibody, FITC conjugated. These technological developments enable unprecedented insights into ROCK2 biology:
Super-resolution microscopy applications:
Apply STORM/PALM techniques to visualize nanoscale ROCK2 distribution at cellular structures
Implement SIM (Structured Illumination Microscopy) to improve resolution 2-fold beyond diffraction limit
Utilize STED microscopy to examine ROCK2 localization at cytoskeletal junctions with 20-30nm resolution
Reveal previously undetectable ROCK2 clustering and molecular associations through increased precision
Live-cell imaging advances:
Combine FITC-labeled ROCK2 antibody fragments (Fab) with cell-penetrating peptides
Implement lattice light-sheet microscopy for rapid 3D imaging with minimal phototoxicity
Track ROCK2 dynamics during cytoskeletal remodeling with increased temporal resolution
Correlate ROCK2 localization with force generation using traction force microscopy
Intravital microscopy for in vivo ROCK2 dynamics:
Adapt FITC-conjugated antibodies for in vivo imaging through direct injection or pre-labeled cells
Monitor ROCK2-expressing cells during tissue migration and immune responses
Track cell-specific ROCK2 activity in disease models (fibrosis, inflammation)
Correlate ROCK2 dynamics with therapeutic responses to inhibitors
Correlative light and electron microscopy (CLEM):
Advanced optical techniques for ROCK2 activity measurement:
| Imaging Technology | Application to ROCK2 Research | Advantage Over Conventional Methods |
|---|---|---|
| FRET biosensors | Monitor ROCK2 activation state in real-time | Direct visualization of kinase activity versus localization |
| Optogenetic ROCK2 | Spatiotemporally control ROCK2 activity | Precise manipulation of signaling at subcellular regions |
| FLIM (Fluorescence Lifetime Imaging) | Detect ROCK2 protein interactions | Environment-sensitive measurements independent of concentration |
| Expansion Microscopy | Physically expand samples for enhanced resolution | Improved visualization of ROCK2 within dense structures |
| Lightsheet microscopy | Rapid 3D imaging of thick specimens | Capture ROCK2 distribution throughout intact tissues |
AI-enhanced image analysis for ROCK2 quantification:
Implement deep learning algorithms for automated ROCK2 signal segmentation
Apply machine learning for pattern recognition in ROCK2 distribution
Utilize neural networks to correlate ROCK2 with cytoskeletal features across large datasets
Develop predictive models linking ROCK2 spatial patterns to cellular behaviors
These imaging advances significantly enhance the utility of FITC-conjugated ROCK2 antibodies by providing unprecedented spatial, temporal, and functional information about ROCK2 biology in diverse research applications.
Improving reproducibility in ROCK2 signaling research requires innovative methodological approaches that address current limitations in antibody-based detection systems. The following strategies represent cutting-edge solutions to enhance data consistency and reliability:
Standardized reference materials and calibration:
Develop recombinant ROCK2 protein standards with defined concentrations
Create synthetic peptide arrays covering key ROCK2 epitopes for antibody validation
Establish fluorescence calibration beads matched to FITC emission spectrum
Implement digital reference standards for cross-laboratory fluorescence normalization
Advanced antibody validation frameworks:
Apply the "five pillars" validation approach specific to ROCK2:
Genetic strategies (CRISPR knockout, siRNA)
Orthogonal methods (mass spectrometry validation)
Independent antibody verification
Expression of tagged proteins
Immunocapture followed by mass spectrometry
Require documentation of validation for all published ROCK2 antibody applications
Quantitative analysis standardization:
Novel technical approaches for signal validation:
| Approach | Methodology | Impact on Reproducibility |
|---|---|---|
| Multiplexed detection | Simultaneous use of multiple ROCK2 antibodies with different labels | Correlation between signals increases confidence |
| Split-fluorophore complementation | Engineer ROCK2-binding fragments with complementary fluorophore parts | Signal only generated upon specific binding |
| Proximity ligation assay | Combine ROCK2 antibodies with substrate antibodies | Only generates signal when ROCK2 is near its targets |
| Mass cytometry (CyTOF) | Metal-tagged ROCK2 antibodies for label-free detection | Eliminates autofluorescence issues, improves quantification |
| Automated microfluidics | Standardized staining protocols with precise timing and washing | Reduces technical variability between experiments |
Integrated multi-omics validation:
Community-based solutions for reproducibility:
Establish open antibody validation repositories specific for ROCK2
Develop standard operating procedures (SOPs) for ROCK2 staining
Create collaborative networks for interlaboratory validation
Implement digital notebook requirements capturing all experimental variables
Emerging technologies for improved reproducibility:
These methodological innovations address the critical need for improved reproducibility in ROCK2 signaling research, facilitating more reliable translation of basic findings to clinical applications.
Researchers designing comprehensive studies of ROCK2 function using antibody-based approaches should consider several critical factors to ensure robust, meaningful results. A thoughtful experimental design integrates multiple levels of analysis while addressing technical challenges:
Experimental system selection and validation:
Choose appropriate models based on research question (cell lines, primary cells, tissues, animal models)
Validate ROCK2 expression levels in selected systems before initiating studies
Consider the relevant physiological context (inflammation, fibrosis, immune response)
Account for species differences in ROCK2 structure and function
Multi-faceted approach to ROCK2 analysis:
Comprehensive controls and validation:
Optimization of antibody-based protocols:
Consideration of ROCK2-specific biology:
Integrated research framework for ROCK2 studies:
| Research Component | Methodological Approach | Key Considerations |
|---|---|---|
| Expression analysis | Antibody-based detection (IF, WB, IHC) | Specificity validation, quantification standards |
| Activity assessment | Phospho-substrate detection, kinase assays | Correlation with expression, temporal dynamics |
| Functional impact | Inhibition, genetic manipulation | Isoform specificity, dose-response relationships |
| Physiological relevance | Disease models, patient samples | Translation between systems, clinical correlation |
| Mechanism investigation | Interaction partners, signaling pathway analysis | Direct vs. indirect effects, feedback loops |
| Therapeutic potential | Target validation, biomarker development | Selectivity, efficacy, resistance mechanisms |