MRE11 antibodies are immunological tools designed to detect and quantify the MRE11 protein in research and clinical settings. These antibodies are widely used in:
Western Blotting (WB): To assess MRE11 expression levels in cell lysates .
Immunohistochemistry (IHC): For spatial localization in tissue sections, particularly in cancer studies .
Immunoprecipitation (IP): To study protein interactions within the MRN complex .
Immunofluorescence (IF): For visualizing nuclear and cytoplasmic MRE11 distribution .
Commercial MRE11 antibodies, such as Cell Signaling Technology’s #4895, exhibit reactivity across human, mouse, rat, and monkey tissues with high specificity for endogenous protein .
MRE11 expression levels correlate with clinical outcomes in multiple cancers, particularly in DNA damage response (DDR)-dependent malignancies. Key studies include:
| MRE11 NC Ratio | 4-Year Disease-Specific Mortality (DSM) | Hazard Ratio (HR) | P Value |
|---|---|---|---|
| ≤1.49 | 41.0% (95% CI: 23.2–58.0) | Reference | 0.03 |
| >1.49 | 21.0% (95% CI: 13.4–29.8) | 0.50 (0.26–0.93) |
Data from a cohort of 135 MIBC patients showed higher nuclear-to-cytoplasmic (NC) MRE11 ratios (>1.49) associated with significantly lower DSM .
Colorectal Cancer (CRC): High MRE11 expression in tumor cores predicts worse disease-free survival (DFS: HR = 1.434, p < 0.05) .
Breast Cancer: MRE11 loss accelerates tumorigenesis in MYC-driven, TP53-null models by suppressing cGAS-mediated innate immune activation .
DNA Repair: MRE11’s 3′–5′ exonuclease activity processes DNA ends for homologous recombination . Mutations (e.g., HCT116 colon cancer cells) impair replication fork restart, increasing genomic instability .
Immune Regulation: MRE11 liberates cGAS from nucleosomes, enabling cytosolic DNA sensing and interferon signaling—a tumor-suppressive mechanism disrupted in MRE11-deficient cancers .
Predictive Biomarker: In bladder cancer, high MRE11 levels predict better radiation response, with 4-year survival rates of 69.9% vs. 53.8% for cystectomy .
Immunoaffinity Purification: MRE11-specific antibodies enable antigen capture for biosensor development and diagnostic test validation .
KEGG: sce:YPL041C
STRING: 4932.YPL041C
MRP1, also known as ABCC1 (ATP-binding cassette sub-family C member 1), functions as a crucial membrane transport protein that mediates the export of organic anions and drugs from the cytoplasm. MRP1 mediates ATP-dependent transport of glutathione and glutathione conjugates, leukotriene C4, estradiol-17-beta-o-glucuronide, methotrexate, antiviral drugs, and various xenobiotics . Antibodies against MRP1 have become essential research tools because they enable scientists to study mechanisms of multidrug resistance in cancer cells, investigate cellular detoxification processes, and examine the role of MRP1 in inflammatory responses. Additionally, MRP1 has been shown to catalyze the export of sphingosine 1-phosphate from mast cells and participates in inflammatory responses by facilitating leukotriene C4 export .
When selecting an MRP1 antibody for your research, consider the following methodological approach:
Determine required cross-reactivity: Identify whether you need an antibody that recognizes only human MRP1 or one that also recognizes rodent MRP1. Polyclonal antibodies like MRP1-A23 allow detection of both human and rodent MRP1, making them valuable for translational research comparing human and animal models .
Evaluate application compatibility: Match the antibody to your intended application. For example, the mouse monoclonal MRP1 antibody MRPm5 is suitable for multiple applications including Western blot (WB), immunohistochemistry (IHC-P, IHC-Fr), immunocytochemistry/immunofluorescence (ICC/IF), and flow cytometry .
Consider the targeted epitope: The epitope recognition pattern is critical for antibody functionality. MRP1-A23, for instance, was produced against a synthetic polypeptide covering the C-terminus of the human protein, while MRPm5 recognizes a recombinant fragment within human ABCC1 amino acids 950-1250 .
Review validation evidence: Examine literature citations and validation data supporting the antibody's specificity. MRPm5 has been cited in 59 publications, suggesting substantial validation across multiple research contexts .
A comprehensive control strategy is essential when using MRP1 antibodies:
Positive controls: Include cell lines or tissues known to express MRP1 (e.g., drug-resistant cancer cell lines). This validates that your antibody can detect the target when present.
Negative controls: Incorporate samples with no or minimal MRP1 expression, or use MRP1 knockout models when available.
Cross-reactivity controls: If working with human and rodent samples, test for potential cross-reactivity with related proteins. For example, MRP1-A23 shows no cross-reactivity with human or mouse MRP2 but weakly cross-reacts with rat MRP2 in the protein region ranging from 1512 to 1533 amino acids .
Peptide competition: Use the immunizing peptide to block antibody binding, confirming specificity of detection.
Secondary antibody controls: Include samples treated only with secondary antibody to identify non-specific binding.
For Western blot experiments specifically, include molecular weight markers to confirm that the detected band corresponds to the expected MRP1 size, as this provides additional validation of antibody specificity .
To effectively study drug resistance mechanisms using MRP1 antibodies, implement the following methodological approach:
Correlative expression studies: Quantify MRP1 expression levels across drug-sensitive and drug-resistant cancer cell populations using calibrated Western blot or flow cytometry with MRP1 antibodies. This allows correlation between expression levels and drug resistance phenotypes.
Functional inhibition experiments: Combine antibody detection of MRP1 with functional assays measuring drug accumulation in cells. This establishes the causal relationship between MRP1 expression and decreased drug accumulation, a hallmark of its resistance mechanism .
Mechanistic investigations: Use MRP1 antibodies in co-immunoprecipitation experiments to identify protein interaction partners involved in the ATP- and GSH-dependent drug export functions .
Subcellular localization studies: Employ immunofluorescence with MRP1 antibodies to track changes in protein localization during acquisition of drug resistance, providing insights into trafficking mechanisms.
Translational research: Apply validated antibodies like MRP1-A23 across human samples and rodent models to establish clinically relevant mechanisms that span species boundaries .
The selection of specific antibodies for these applications should consider epitope accessibility in different experimental contexts and potential interference with MRP1 function.
Implementing multiplex detection systems with MRP1 antibodies requires careful methodological planning:
Antibody source species differentiation: When combining multiple primary antibodies, select those raised in different host species (e.g., mouse anti-MRP1 with rabbit anti-target2) to enable detection with species-specific secondary antibodies.
Isotype selection: If using multiple antibodies from the same species, differentiate by selecting antibodies of distinct isotypes and use isotype-specific secondary antibodies.
Fluorophore compatibility: For immunofluorescence multiplex detection, select fluorophores with minimal spectral overlap to avoid bleed-through. Consider sequential staining protocols if antibody cross-reactivity is a concern.
Epitope accessibility verification: Confirm that fixation and permeabilization methods preserve all target epitopes simultaneously. Different proteins may require optimized fixation protocols.
Antibody blocking strategy: Implement complete blocking between sequential detection steps when using antibodies from the same species to prevent cross-reactivity.
For example, when studying MRP1's role in inflammatory responses, you might combine MRP1 antibodies with antibodies against inflammatory mediators to simultaneously visualize their spatial relationship in tissues or cells .
Recent research has identified MRP1 as a regulator of the cGAS-STING pathway through its ATP-dependent, GSH-independent cyclic GMP-AMP (cGAMP) export function. To investigate this relationship using MRP1 antibodies:
Protein quantification studies: Use Western blot with MRP1 antibodies to quantify MRP1 expression levels in cells with altered cGAS-STING pathway activity.
Proximity ligation assays: Combine MRP1 antibodies with antibodies against cGAS or STING components to visualize and quantify protein proximity in situ.
Immunoprecipitation approaches: Use MRP1 antibodies to pull down protein complexes, followed by detection of cGAS-STING pathway components to identify physical interactions.
Transport activity correlation: Correlate MRP1 expression levels (detected by antibodies) with measurements of intracellular cGAMP concentrations to establish functional relationships.
Genetic manipulation validation: Confirm antibody specificity in MRP1 knockdown or knockout systems while monitoring cGAS-STING pathway activity markers.
This methodology allows researchers to elucidate how MRP1 contributes to immune regulation by limiting intracellular cGAMP concentrations and negatively regulating the cGAS-STING pathway .
For optimal Western blot detection of MRP1 using antibodies, follow this detailed protocol:
Sample preparation:
Extract proteins using buffers containing appropriate detergents (e.g., 1% Triton X-100) to solubilize membrane-bound MRP1
Add protease inhibitors to prevent degradation
Avoid excessive heating during sample preparation as it may cause aggregation of membrane proteins
Protein separation:
Use 7-8% SDS-PAGE gels to properly resolve the high molecular weight MRP1 (approximately 190 kDa)
Load sufficient protein (25-50 μg of total protein per lane) to ensure detection
Include molecular weight markers spanning the 150-250 kDa range
Protein transfer:
Implement wet transfer at lower voltage (30V) overnight at 4°C for efficient transfer of large proteins
Use PVDF membranes with 0.45 μm pore size rather than 0.2 μm for better binding of large proteins
Antibody incubation:
Block membranes with 5% non-fat dry milk or BSA in TBST for 1 hour
Dilute primary MRP1 antibodies according to manufacturer recommendations (typically 1:500 to 1:1000)
Incubate with primary antibody overnight at 4°C with gentle agitation
Use appropriate HRP-conjugated secondary antibodies (typically 1:5000 dilution)
Detection optimization:
Employ enhanced chemiluminescence with longer exposure times if necessary
Consider using signal enhancers for low abundance detection
This protocol has been validated with antibodies like MRP1-A23, which shows reactivity against human MRP1 similar to that obtained with the monoclonal QCRL1 antibody .
Optimizing immunohistochemistry (IHC) protocols for MRP1 detection requires systematic attention to several methodological parameters:
Tissue preparation and fixation:
For formalin-fixed paraffin-embedded (FFPE) tissues, limit fixation time to 24 hours to preserve epitope integrity
Consider using citrate buffer (pH 6.0) or EDTA buffer (pH 9.0) for antigen retrieval
For frozen sections, use acetone or methanol fixation (10 minutes at -20°C) to maintain membrane protein conformation
Blocking and permeabilization:
Block with 5-10% normal serum from the same species as the secondary antibody
Include 0.1-0.3% Triton X-100 for permeabilization to access intracellular epitopes
Consider including avidin/biotin blocking if using biotin-based detection systems
Antibody selection and dilution:
Detection system optimization:
For low expression detection, use polymer-based detection systems or tyramide signal amplification
Include proper controls on each slide (positive and negative tissue controls)
Consider dual immunofluorescence with cell type-specific markers for co-localization studies
Counterstaining and imaging:
Use minimal hematoxylin counterstaining to avoid masking specific staining
Employ spectral imaging for tissues with high autofluorescence when using fluorescent detection
This optimized approach ensures specific detection of MRP1 in complex tissue environments while minimizing background and non-specific binding issues.
A comprehensive validation strategy for MRP1 antibodies should include multiple complementary approaches:
Genetic validation:
Compare antibody signal in wild-type versus MRP1 knockout/knockdown systems
Use siRNA/shRNA to create a gradient of expression levels for correlation analysis
Employ CRISPR-Cas9 editing to generate epitope-modified MRP1 to confirm binding specificity
Peptide competition assays:
Pre-incubate the antibody with excess immunizing peptide prior to application
Compare signal with and without peptide competition to identify specific binding
Include gradient concentrations of competing peptide to demonstrate dose-dependent inhibition
Multi-antibody validation:
Cross-species reactivity testing:
Correlation with functional assays:
Correlate antibody-detected expression levels with functional measurements of MRP1 activity
Measure drug export capabilities in cells with variable MRP1 expression levels
Mass spectrometry validation:
Perform immunoprecipitation with the MRP1 antibody followed by mass spectrometry to confirm target identity
This multi-faceted approach significantly reduces the risk of misinterpreting results due to antibody cross-reactivity or non-specific binding.
When encountering weak or absent MRP1 signal in Western blot analysis, implement this systematic troubleshooting approach:
Sample preparation optimization:
Ensure adequate protein extraction by using stronger lysis buffers (containing SDS or deoxycholate) for membrane proteins
Avoid repeated freeze-thaw cycles of samples which may degrade membrane proteins
Confirm protein concentration using reliable assays that are compatible with detergents
Technical adjustments:
Increase protein loading (50-100 μg total protein per lane)
Extend primary antibody incubation time to overnight at 4°C
Decrease antibody dilution (use more concentrated antibody)
Extend exposure time during detection
Use more sensitive detection systems (enhanced ECL or fluorescent secondary antibodies)
MRP1 expression considerations:
Verify MRP1 expression in your samples with RT-PCR before protein analysis
Use positive control samples with known MRP1 expression (drug-resistant cell lines)
Consider that MRP1 expression may be induced by certain conditions like oxidative stress
Antibody selection refinement:
Buffer and blocking optimization:
Test alternative blocking agents (BSA instead of milk for phospho-specific antibodies)
Reduce washing stringency by decreasing detergent concentration in wash buffers
This methodical approach helps distinguish between technical issues and true biological absence of MRP1 expression.
Several factors can contribute to background or non-specific binding with MRP1 antibodies. Here's how to address them:
Inadequate blocking:
Extend blocking time to 2 hours at room temperature
Increase blocking agent concentration to 5-10%
Add 0.1-0.3% Triton X-100 or Tween-20 to blocking buffer to reduce hydrophobic interactions
Consider alternative blocking agents (casein, fish gelatin) if milk or BSA gives high background
Secondary antibody cross-reactivity:
Use highly cross-adsorbed secondary antibodies
Include 1-5% serum from the host species of your samples in antibody dilution buffer
Run a control omitting primary antibody to identify secondary antibody issues
Fixation artifacts:
Optimize fixation protocols to preserve epitope structure while maintaining tissue morphology
Ensure complete deparaffinization of FFPE samples
Optimize antigen retrieval conditions (pH, temperature, duration)
Tissue-specific considerations:
For tissues with high endogenous peroxidase activity (liver, kidney), enhance peroxidase quenching steps
For tissues with high endogenous biotin (liver, kidney), implement avidin-biotin blocking
Use Sudan Black B (0.1-0.3%) to reduce autofluorescence in immunofluorescence applications
Antibody specificity issues:
Test for potential cross-reactivity with related proteins like MRP2, particularly when using polyclonal antibodies like MRP1-A23 which may show weak cross-reactivity with rat MRP2
Implement peptide competition controls to distinguish specific from non-specific binding
Consider targeted validation in confounding tissues with known expression profiles
Systematically addressing these factors will significantly improve signal-to-noise ratio and data reliability in MRP1 detection experiments.
Accurate quantification and normalization of MRP1 expression requires rigorous methodological approaches:
For Western blot quantification:
Signal detection optimization:
Ensure detection is in the linear range of your imaging system
Avoid saturated pixels which compromise quantitative analysis
Capture multiple exposure times to identify optimal quantification range
Densitometry approaches:
Use integrated density measurements rather than peak intensity
Subtract local background from each lane individually
Analyze triplicate biological samples for statistical validity
Normalization strategies:
Normalize to multiple housekeeping proteins (e.g., β-actin, GAPDH, α-tubulin)
Consider membrane protein-specific loading controls (Na⁺/K⁺-ATPase)
Use total protein normalization methods (Ponceau S, SYPRO Ruby, stain-free technology) to overcome limitations of single housekeeping proteins
For immunohistochemistry quantification:
Digital image analysis:
Use calibrated image acquisition settings across all samples
Employ color deconvolution algorithms to separate specific staining from counterstains
Implement machine learning-based segmentation for cell-type specific quantification
Scoring methodologies:
Develop clearly defined scoring systems (0-3+ intensity scale)
Calculate H-scores (∑(intensity × percentage of positive cells))
Have multiple independent observers score samples blindly
Reference standards:
Include internal reference controls in each experiment
Use tissue microarrays containing gradients of MRP1 expression for standardization
Consider automated, algorithm-based quantification to reduce observer bias
Statistical analysis:
Use appropriate statistical tests based on data distribution
Account for multiple comparisons when analyzing large datasets
Report confidence intervals alongside point estimates
This comprehensive approach to quantification enhances reproducibility and reliability of MRP1 expression analysis across experimental systems.
Recent advances in antibody therapeutics have expanded the application of MRP1-targeting antibodies in the development of antibody-drug conjugates:
Target validation strategies:
MRP1 antibodies are used to validate differential expression between normal and cancer tissues, establishing MRP1 as a potential ADC target
Quantitative immunohistochemistry with validated MRP1 antibodies helps determine tumor type suitability for MRP1-targeted ADCs
Flow cytometry with MRP1 antibodies enables precise quantification of cell surface exposure needed for ADC engagement
ADC development methodology:
Internalization studies tracking fluorescently-labeled MRP1 antibodies help assess their suitability as ADC delivery vehicles
Antibodies recognizing extracellular epitopes of MRP1 are evaluated for their ability to deliver cytotoxic payloads
Competition assays determine whether antibodies interfere with MRP1's drug efflux function, potentially enhancing ADC efficacy
Dual-function approaches:
Research explores antibodies that both inhibit MRP1 drug efflux function and deliver cytotoxic payloads
MRP1 antibodies conjugated to payloads that become substrates for other ABC transporters create multi-targeting strategies
Bispecific antibody derivatives targeting both MRP1 and other cancer markers enhance specificity
Resistance mechanism insights:
MRP1 antibodies help identify potential resistance mechanisms to other ADCs, as several ADC payloads are MRP1 substrates
Understanding gained from antibody-based studies of MRP1 informs the development of newer ADCs like datopotamab deruxtecan and patritumab deruxtecan currently in regulatory review
This integration of MRP1 antibody research with ADC development represents a promising frontier in overcoming multidrug resistance in cancer therapy.
Antibodies are instrumental in elucidating the newly discovered relationship between MRP1 and the cGAS-STING pathway:
Mechanistic investigation approaches:
Co-immunoprecipitation experiments using MRP1 antibodies help identify protein-protein interactions within the cGAS-STING pathway
Immunofluorescence co-localization studies with MRP1 and STING component antibodies reveal spatial relationships during pathway activation
Western blot analysis quantifies how modulating MRP1 affects the expression of downstream STING pathway components
Functional correlation methodologies:
Flow cytometry with MRP1 antibodies correlates surface expression levels with intracellular cGAMP concentrations
ChIP sequencing with antibodies against transcription factors activated by the STING pathway helps determine genes regulated following MRP1-mediated cGAMP export
Proximity ligation assays using antibody pairs detect molecular interactions between MRP1 and STING pathway components
Translational research applications:
Tissue microarray analysis with MRP1 antibodies across cancer types helps identify correlations between MRP1 expression and immune infiltration
Single-cell analysis combining MRP1 antibodies with immune markers reveals cell population-specific effects
Patient-derived xenograft models analyzed with human-specific MRP1 antibodies like MRPm5 enable in vivo validation of pathway relationships
Therapeutic development insights:
Antibody-based screening identifies compounds that modulate MRP1's cGAMP transport without affecting other substrates
Competition binding assays with MRP1 antibodies help characterize novel inhibitors targeting the cGAMP export function
Immune checkpoint combination studies utilize MRP1 antibodies to track expression changes during treatment
These antibody-dependent approaches are revealing how MRP1-mediated regulation of the cGAS-STING pathway influences both immunity and cancer progression, potentially opening new therapeutic avenues .
An integrated approach combining MRP1 antibody detection with complementary molecular techniques enables comprehensive drug resistance profiling:
Multi-omics integration strategies:
Correlate MRP1 protein levels (detected by antibodies) with mRNA expression (measured by RT-qPCR or RNA-seq)
Combine MRP1 antibody-based protein quantification with metabolomic profiling of MRP1 substrates
Integrate chromatin immunoprecipitation data on MRP1 gene regulation with protein expression patterns
Functional assay correlation:
Pair MRP1 antibody detection with fluorescent substrate accumulation assays to link expression and transport activity
Combine immunofluorescence localization of MRP1 with live-cell imaging of drug efflux kinetics
Correlate MRP1 expression with IC50 values for various therapeutics to establish quantitative resistance relationships
Single-cell analysis approaches:
Implement mass cytometry (CyTOF) with MRP1 antibodies alongside drug resistance markers for high-dimensional profiling
Use imaging mass cytometry to maintain spatial context while quantifying MRP1 and related proteins
Apply single-cell RNA-seq with antibody-based cell sorting to correlate transcriptomes with MRP1 protein levels
Clinical sample workflows:
Develop standardized protocols combining MRP1 immunohistochemistry with genetic testing for other resistance mechanisms
Implement liquid biopsy workflows that capture both circulating tumor cells (analyzed with MRP1 antibodies) and cell-free DNA
Create patient-derived organoid platforms with integrated MRP1 antibody-based monitoring of drug resistance evolution
Mathematical modeling approaches:
Develop predictive algorithms incorporating MRP1 expression data from antibody-based detection with drug response profiles
Build network models integrating MRP1 with other ABC transporters and resistance mechanisms
Create patient-specific resistance profiles based on integrated antibody and molecular data
This integrated approach provides a more comprehensive understanding of the multifactorial nature of drug resistance than any single technique alone, potentially enabling more effective personalized treatment strategies.