MBIP Antibody, FITC conjugated, is a fluorescently labeled antibody targeting MAP3K12-binding inhibitory protein 1 (MBIP), a key regulator of the JNK/SAPK pathway. FITC (fluorescein isothiocyanate) conjugation enables visualization in immunofluorescence, flow cytometry, and ELISA. This reagent is critical for studying MBIP’s role in signal transduction, particularly in contexts involving stress response and apoptosis.
MBIP is a 344-amino acid protein that:
Inhibits MAP3K12 (MUK) activity, promoting JNK/SAPK pathway activation .
Localizes to nucleus and cytoplasm, with high expression in lung, heart, and skeletal muscle .
Interacts with components of the ATAC complex (e.g., ADA3, GCN5), mediating histone acetylation .
While direct research using MBIP Antibody, FITC conjugated, is limited in public literature, its potential applications include:
Binding Affinity: Higher FITC-labeling indices correlate with reduced antigen-binding efficiency .
Non-Specific Binding: Over-conjugation may increase background noise in immunofluorescence .
Optimal Dilution: Recommended dilutions for similar FITC antibodies range from 1:500 to 1:1000 in PBS with 10% FBS .
MBIP (MAP3K12-binding inhibitory protein 1), also known as MAPK upstream kinase-binding inhibitory protein or MUK-binding inhibitory protein, plays a crucial role in cellular signaling pathways by inhibiting MAP3K12 activity that induces the activation of the JNK/SAPK pathway . This protein is also a component of the ATAC complex, which exhibits histone acetyltransferase activity specifically on histones H3 and H4, suggesting its involvement in transcriptional regulation . Research on MBIP contributes to our understanding of signal transduction mechanisms, stress responses, and potentially pathological conditions where these pathways are dysregulated. Utilizing antibodies against MBIP enables researchers to investigate its expression, localization, and functional relationships in various experimental systems.
FITC-conjugated MBIP antibodies are particularly valuable for fluorescence-based applications in research. The primary applications include:
Flow cytometry: For quantitative analysis of MBIP expression at the single-cell level, allowing for population studies and sorting of cells based on MBIP expression levels .
Immunofluorescence microscopy (ICC/IF): For visualizing the subcellular localization of MBIP in fixed cells with high sensitivity .
High-content screening: For large-scale analysis of MBIP expression or localization changes in response to treatments.
Live-cell imaging: When using membrane-permeable antibody formats to track dynamics of MBIP expression or localization.
FITC conjugation eliminates the need for secondary antibody incubation steps, reducing experimental time and potential cross-reactivity issues in multi-color staining protocols . Available data indicates that FITC-conjugated anti-MBIP antibodies have been successfully used in applications such as intracellular flow cytometry with human samples .
Selection of the appropriate MBIP antibody format depends on several experimental considerations:
| Antibody Format | Optimal Applications | Considerations |
|---|---|---|
| FITC-conjugated polyclonal | Flow cytometry, IF with single staining | Higher sensitivity, potential for higher background |
| FITC-conjugated monoclonal | Multi-color flow cytometry, precise IF | Higher specificity, consistent lot-to-lot performance |
| Unconjugated primary | Western blot, IP, IHC | Flexibility with detection method |
| Recombinant antibodies | All applications requiring high reproducibility | Reduced lot-to-lot variation |
When selecting a FITC-conjugated MBIP antibody, researchers should consider:
Target epitope: Different antibodies target different regions of MBIP (AA 1-343, AA 91-241, AA 1-344, etc.)
Host species: Available in rabbit or mouse formats, which may affect compatibility with other reagents
Clonality: Polyclonal antibodies offer broader epitope recognition while monoclonal antibodies provide higher specificity
Validation data: Review available data on reactivity with human samples and specific applications
The selection process should be guided by the specific research question, experimental system, and technical requirements of the planned experiments.
The choice of fixation and permeabilization methods significantly impacts the performance of FITC-conjugated MBIP antibodies. Based on available data:
For flow cytometry:
Fixation with 2% paraformaldehyde has been successfully used for intracellular flow cytometric analysis with MBIP antibodies
Proper permeabilization is critical since MBIP is predominantly an intracellular protein
For immunofluorescence:
4% paraformaldehyde fixation has been validated for MBIP immunofluorescence staining in cell lines like HeLa
For optimal results, fixation should be followed by appropriate permeabilization with detergents like Triton X-100 or saponin
For immunohistochemistry with MBIP antibodies:
Heat-mediated antigen retrieval with EDTA buffer at pH 9 is recommended prior to immunohistochemical staining protocols
This pretreatment significantly improves antibody access to the MBIP epitopes in formalin-fixed paraffin-embedded tissues
Researchers should empirically determine the optimal conditions for their specific experimental system, as fixation and permeabilization requirements may vary depending on cell type, tissue source, and the specific epitope recognized by the antibody.
Optimizing protocols for flow cytometry with FITC-conjugated MBIP antibodies requires attention to several key parameters:
Validation with alternative detection methods (such as Western blot) is recommended to confirm the specificity of the flow cytometry results.
Implementing appropriate controls is crucial for generating reliable and interpretable data with FITC-conjugated MBIP antibodies:
Negative controls:
Isotype control: Using an isotype-matched control antibody (e.g., rabbit monoclonal IgG for rabbit monoclonal anti-MBIP) conjugated to FITC at the same concentration as the test antibody
Secondary antibody-only control (for indirect immunofluorescence protocols)
Unstained samples for autofluorescence assessment
Positive controls:
Blocking/competition controls:
Pre-incubation of the antibody with the immunizing peptide to demonstrate binding specificity
siRNA or CRISPR knockdown of MBIP to confirm antibody specificity
Technical controls:
For flow cytometry: Single-color controls for compensation when using multiple fluorophores
For microscopy: Controls for bleed-through and background autofluorescence
Processing controls:
Samples processed identically except for the primary antibody step to control for non-specific binding
Fixation controls to assess the impact of fixation on epitope recognition
Documentation of these controls should be included in research publications to demonstrate the validity and specificity of the results obtained with FITC-conjugated MBIP antibodies.
Co-localization studies using FITC-conjugated MBIP antibodies can provide valuable insights into the functional relationships and spatial organization of MBIP with other proteins. To design effective co-localization experiments:
Fluorophore selection:
When using FITC (green fluorescence) for MBIP detection, select compatible fluorophores for other proteins such as:
Red fluorophores (e.g., Cy3, Alexa Fluor 594) for maximum spectral separation
Far-red fluorophores (e.g., Cy5, Alexa Fluor 647) for three-color experiments
Avoid fluorophores with significant spectral overlap with FITC (e.g., BODIPY-FL, Alexa Fluor 488)
Sequential staining protocol:
For multiple primary antibodies from the same host species, sequential staining with appropriate blocking steps between antibodies is recommended
When possible, select antibodies from different host species to simplify the staining protocol
Image acquisition considerations:
Use sequential scanning to minimize bleed-through artifacts
Optimize laser power and detector settings for each channel separately
Acquire single-color control samples under identical settings
Quantitative co-localization analysis:
Calculate Pearson's correlation coefficient or Manders' overlap coefficient
Use specialized software (e.g., ImageJ with Coloc2 plugin, Imaris, ZEN) for accurate quantification
Apply appropriate thresholding to eliminate background signal
Biologically relevant co-localization targets:
Components of the ATAC complex to investigate MBIP's role in histone acetyltransferase activity
MAP3K12 to study the inhibitory interaction directly
JNK/SAPK pathway components to analyze downstream effects
This approach allows researchers to investigate the functional compartmentalization of MBIP and its potential roles in various cellular processes, potentially revealing new insights into its biological functions beyond its known roles in the MAPK pathway and the ATAC complex.
Live-cell imaging with FITC-conjugated MBIP antibodies presents unique challenges and considerations that researchers must address:
Antibody delivery methods:
Cell-penetrating peptide (CPP) conjugation to facilitate antibody internalization
Microinjection for direct delivery with minimal cellular disruption
Electroporation or cell-squeezing techniques for temporary membrane permeabilization
Proprietary protein transfection reagents designed for antibody delivery
FITC photobleaching mitigation:
FITC is more prone to photobleaching than other fluorophores, requiring strategies to minimize light exposure
Use of anti-fade reagents compatible with live cells (e.g., ProLong Live Antifade Reagent)
Implementation of intelligent acquisition strategies (reduced exposure time, increased intervals between acquisitions)
Consider alternative conjugates with greater photostability (e.g., Alexa Fluor 488) if available
Phototoxicity considerations:
FITC excitation at 488 nm can generate reactive oxygen species that damage live cells
Minimize excitation power and exposure duration
Supplement media with antioxidants to reduce phototoxic effects
Control experiments:
Confirmation that antibody binding does not interfere with MBIP function
Assessment of antibody effects on cell viability and behavior
Validation that internalized antibodies recognize the same structures as in fixed cells
Alternative approaches:
If live-cell imaging proves challenging with antibodies, consider generating fluorescent protein-tagged MBIP constructs
CRISPR-Cas9 knock-in of fluorescent tags at the endogenous MBIP locus
Given MBIP's roles in signaling pathways and nuclear complexes, live-cell imaging could provide valuable insights into its dynamic behavior in response to cellular stimuli and stress conditions.
FITC-conjugated MBIP antibodies can facilitate the investigation of protein-protein interactions through several sophisticated approaches:
Proximity ligation assay (PLA):
Combine FITC-conjugated anti-MBIP with unconjugated antibodies against potential interaction partners
Use PLA probes that recognize the FITC molecule and the second primary antibody
Rolling circle amplification generates fluorescent spots only when proteins are in close proximity (<40 nm)
Particularly useful for studying MBIP interactions with MAP3K12 or components of the ATAC complex
Förster resonance energy transfer (FRET):
Use FITC as a donor fluorophore and a compatible acceptor (e.g., TRITC) conjugated to antibodies against potential interaction partners
FRET occurs only when proteins are within 1-10 nm, providing evidence of direct interaction
Requires careful controls for spectral bleed-through and photobleaching
Co-immunoprecipitation followed by immunoblotting:
Flow cytometry-based protein interaction analysis:
Use FITC-conjugated MBIP antibodies in combination with antibodies against potential interaction partners labeled with compatible fluorophores
Analyze co-expression patterns at single-cell resolution
Apply correlation analysis to identify potential functional relationships
High-content imaging:
Apply automated image analysis to quantify co-localization of MBIP with potential interaction partners
Screen for conditions that enhance or disrupt interaction patterns
Integrate with siRNA libraries or small molecule collections to identify regulators of MBIP interactions
These approaches can provide valuable insights into MBIP's functional role in both the MAP3K12/JNK/SAPK pathway and the ATAC complex, potentially revealing novel therapeutic targets for diseases involving these pathways.
High background signal is a common challenge when working with FITC-conjugated antibodies, including those targeting MBIP. Systematic troubleshooting approaches include:
Optimization of antibody concentration:
Published protocols suggest dilutions ranging from 1/250 for IHC to 1/500 for immunofluorescence and 1/400 for flow cytometry with MBIP antibodies
Perform titration experiments to identify the minimum concentration that yields specific signal
Consider that optimal dilutions may differ between applications and sample types
Blocking protocol enhancement:
Implement more stringent blocking with 5-10% normal serum from the same species as the secondary antibody
Add 0.1-0.3% Triton X-100 to blocking buffer to reduce hydrophobic interactions
Consider specialized blocking reagents for particularly challenging samples
For immunoblotting, 5% non-fat dry milk in TBST has been effective with MBIP antibodies
Washing optimization:
Increase the number and duration of washing steps
Use detergent-containing wash buffers (0.05-0.1% Tween-20 or Triton X-100)
For flow cytometry, centrifuge cells at lower speeds to minimize cell loss during washing
Fixation and permeabilization adjustments:
Sample-specific considerations:
For tissues with high endogenous biotin, use streptavidin/biotin blocking kits
Treat samples with Sudan Black B (0.1-0.3%) to reduce lipofuscin autofluorescence
For flow cytometry, include a dead cell marker to exclude nonviable cells that may bind antibodies non-specifically
Systematic documentation of troubleshooting steps can help identify the specific factors contributing to background issues in each experimental system.
Accurate quantification of MBIP expression using FITC-conjugated antibodies requires rigorous methodological approaches tailored to the specific experimental platform:
Flow cytometry quantification:
Mean or median fluorescence intensity (MFI) measurement normalized to appropriate controls
Calculation of specific staining index: (Sample MFI - Isotype Control MFI)/SD of Isotype Control
Use of calibration beads with known quantities of FITC molecules for standardization
Quantitative flow cytometry software (e.g., FlowJo, FCS Express) for population analysis
Immunofluorescence microscopy quantification:
Integrated density measurement (area × mean intensity) for whole-cell or subcellular regions
Background subtraction using adjacent negative areas
Z-stack acquisition and 3D reconstruction for volume-based measurements
Open-source software options: ImageJ/FIJI with appropriate plugins
High-content imaging quantification:
Automated segmentation of cells/nuclei using DNA counterstains
Multi-parameter analysis of MBIP intensity, localization, and pattern
Machine learning algorithms for complex phenotype classification
Western blot correlation:
Standardization across experiments:
Inclusion of standard samples in each experiment
Use of internal controls (housekeeping proteins or invariant cellular structures)
Consistent instrument settings and analysis parameters
These quantification approaches enable researchers to detect subtle changes in MBIP expression under different experimental conditions, potentially revealing its regulation and role in cellular processes.
Rigorous validation of FITC-conjugated MBIP antibody specificity is essential for generating reliable research data. Comprehensive validation strategies include:
Genetic approaches:
siRNA or shRNA knockdown of MBIP expression followed by antibody staining
CRISPR-Cas9 knockout of MBIP gene to generate true negative controls
Overexpression of tagged MBIP constructs to confirm co-localization with antibody staining
Multiple detection methods:
Cross-validation with different applications (e.g., if using flow cytometry, confirm with immunoblotting)
Comparison of results from different MBIP antibody clones targeting distinct epitopes
Correlation between protein levels detected by antibody and mRNA levels by RT-qPCR
Peptide competition assays:
Pre-incubation of the antibody with increasing concentrations of the immunizing peptide
Demonstration of signal reduction proportional to peptide concentration
Use of unrelated peptides as negative controls for competition
Immunoprecipitation-mass spectrometry:
Cell/tissue panel screening:
Testing across multiple cell lines with different MBIP expression levels
Correlation of staining intensity with expected expression patterns
Analysis of subcellular localization consistency with known MBIP distribution
Documentation of these validation steps significantly enhances the credibility of research findings and should be included in publications using FITC-conjugated MBIP antibodies.
FITC-conjugated MBIP antibodies offer significant potential for investigating disease mechanisms through several innovative research approaches:
Cancer research applications:
Quantitative analysis of MBIP expression in tumor samples via flow cytometry or tissue microarrays
MBIP has been successfully detected in clear cell carcinoma of kidney tissue , suggesting potential roles in cancer biology
Correlation of MBIP expression or localization with patient outcomes and treatment responses
Investigation of MBIP's role in the ATAC complex may reveal epigenetic mechanisms in oncogenesis
Neurological disease investigations:
MBIP's involvement in the JNK/SAPK pathway suggests potential roles in neurodegeneration
High-resolution imaging of MBIP distribution in neuronal populations under stress conditions
Correlation of MBIP dynamics with neuronal survival in disease models
Inflammatory and stress response research:
Real-time analysis of MBIP regulation during cellular stress responses
Investigation of MBIP's role in modulating inflammatory signaling through the MAP3K12/JNK pathway
Potential therapeutic targeting of MBIP-MAP3K12 interactions
Development of diagnostic applications:
Assessment of MBIP as a potential biomarker for diseases with altered MAP3K12 activity
Flow cytometric protocols for MBIP detection in clinical samples
Correlation of MBIP expression patterns with disease progression
Drug discovery and development:
High-content screening for compounds that modulate MBIP expression or localization
Assessment of drug effects on MBIP-dependent signaling pathways
Development of targeted therapies based on MBIP interactions
These research directions could significantly expand our understanding of MBIP's functional roles in health and disease, potentially identifying new therapeutic targets or diagnostic approaches.
Several cutting-edge technologies are poised to revolutionize research applications of FITC-conjugated MBIP antibodies:
Super-resolution microscopy techniques:
Structured illumination microscopy (SIM) for improved resolution of MBIP subcellular localization
Stochastic optical reconstruction microscopy (STORM) for nanoscale precision in mapping MBIP distribution
Stimulated emission depletion (STED) microscopy for detailed analysis of MBIP interactions with nuclear structures
These approaches overcome the diffraction limit of conventional microscopy, revealing previously undetectable patterns
Mass cytometry (CyTOF) integration:
Development of metal-tagged anti-MBIP antibodies for high-dimensional analysis
Simultaneous assessment of MBIP with dozens of other protein markers
Correlation of MBIP expression with complex cellular phenotypes
Enhanced capacity for biomarker discovery in heterogeneous samples
Spatial transcriptomics combined with MBIP protein detection:
Correlation of MBIP protein distribution with gene expression patterns
Investigation of spatial relationships between MBIP and its transcriptional targets
Integration of protein and RNA data for comprehensive understanding of MBIP function
Microfluidics and single-cell analysis:
Rapid assessment of MBIP dynamics in response to stimuli using microfluidic systems
Single-cell western blotting to correlate MBIP expression with other proteins at individual cell level
Droplet-based assays for high-throughput screening of MBIP modulators
CRISPR-based screening with MBIP antibody readouts:
Genome-wide screens for genes affecting MBIP expression or localization
Identification of novel regulatory pathways controlling MBIP function
High-content imaging using FITC-conjugated MBIP antibodies as the primary readout
These technological advances offer unprecedented opportunities to explore MBIP biology with higher resolution, greater throughput, and more comprehensive contextual information than previously possible.
Multiple factors influence the stability and performance of FITC-conjugated MBIP antibodies, requiring careful handling and storage:
Storage conditions:
Temperature: Store at -20°C for long-term stability; avoid repeated freeze-thaw cycles
Light exposure: FITC is particularly photosensitive; store in amber vials or wrapped in aluminum foil
Aliquoting: Prepare single-use aliquots to prevent contamination and degradation from repeated handling
Addition of stabilizing proteins (e.g., 1% BSA) may improve long-term stability
Buffer composition effects:
pH sensitivity: FITC fluorescence is optimal at slightly alkaline pH (7.5-8.5); dramatic changes in pH alter signal intensity
Presence of preservatives: Sodium azide (common in antibody preparations) can affect cell viability in live-cell applications
Carrier proteins: BSA or gelatin addition can prevent antibody adsorption to tube walls
Glycerol content: Typically 50% for frozen storage; must be diluted appropriately for applications
Application-specific considerations:
Flow cytometry: Antibody concentration, incubation time, and temperature significantly impact staining intensity
Microscopy: Fixation method can affect epitope accessibility and FITC fluorescence properties
Signal-to-noise ratio optimization: Titration of antibody concentration is essential for each new application
Conjugation quality:
Fluorophore-to-protein ratio affects performance; optimal ratio for FITC is typically 3-6 molecules per antibody
Over-conjugation can cause self-quenching and reduced antibody affinity
Under-conjugation results in weak fluorescence signal
Shelf-life considerations:
Typical shelf life is 12-18 months when stored properly
Regular validation of antibody performance is recommended for critical applications
Documentation of lot-to-lot variation is important for longitudinal studies
Understanding and controlling these factors is essential for generating reproducible and reliable data with FITC-conjugated MBIP antibodies across different experimental platforms.
Designing effective multi-color flow cytometry panels that include FITC-conjugated MBIP antibodies requires strategic planning and technical considerations:
Spectral compatibility planning:
FITC excitation maximum: ~495 nm, emission maximum: ~519 nm
Compatible fluorophores with minimal spectral overlap include:
PE (excitation: 565 nm, emission: 578 nm)
APC (excitation: 650 nm, emission: 660 nm)
Pacific Blue (excitation: 401 nm, emission: 452 nm)
Avoid or carefully compensate for spectrally similar fluorophores (e.g., GFP, Alexa Fluor 488)
Panel design principles:
Assign FITC to targets with intermediate expression levels (like MBIP)
Reserve brighter fluorophores (PE, APC) for low-abundance targets
Consider antigen co-expression patterns when assigning fluorophores
Limit panel complexity based on instrument capabilities and experiment goals
Compensation strategy:
Prepare single-color controls with the same antibody concentrations as the full panel
Use compensation beads for consistent signal intensity
Apply automated compensation algorithms followed by manual adjustment if necessary
Validate compensation matrix with preliminary samples before full experiment
Antibody titration:
Perform separate titrations for each antibody in the panel
Optimal concentration for FITC-conjugated anti-MBIP may differ in multi-color panels compared to single-color applications
Calculate staining index (SI = [MFI positive - MFI negative]/2 × SD of negative) to determine optimal concentration
Protocol optimization:
Sequence of antibody addition may affect staining quality
Buffer composition may require adjustment for optimal performance of all antibodies
Fixation and permeabilization conditions must be compatible with all epitopes in the panel
Sample-specific considerations:
Autofluorescence characteristics of the cell type should inform fluorophore selection
Cell size and complexity affect fluorescence distribution
Non-specific binding properties vary between cell types and must be addressed