MUD2 Antibody

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Description

Introduction to MUD2 and MUDENG Proteins

MUD2 in Saccharomyces cerevisiae is a nuclear protein involved in pre-mRNA splicing, particularly in forming the branchpoint-dependent commitment complex (CC2) during spliceosome assembly . It interacts with components like PRP11 and U1 snRNP, playing a role in stabilizing splicing intermediates .

In humans, MUDENG (MuD), a homolog of the yeast MUD2, encodes a 54 kDa protein implicated in endosomal trafficking and apoptosis . Despite the naming similarity, yeast MUD2 and human MUDENG are functionally distinct, with the latter linked to diseases like hereditary spastic paraplegia .

Development of the M3H9 Monoclonal Antibody

The M3H9 monoclonal antibody (IgG1) targets residues 244–326 in the middle domain of human MUDENG . Key attributes include:

PropertyDetail
Target EpitopeMiddle domain (residues 244–326) of MUDENG
ApplicationsELISA, immunoblot, immunohistochemistry (IHC)
Species ReactivityHuman, mouse
ValidationDetects MUDENG in formalin-fixed tissues and cell lysates

This antibody was validated using astroglioma cell lines and primary astrocytes, confirming its specificity for MUDENG .

Experimental Techniques

  • Immunoblotting: Detects ~54 kDa MUDENG protein in brain lysates .

  • IHC: Identifies MUDENG in mouse ovary and uterus tissues .

  • ELISA: Quantifies MUDENG expression in disease models .

Functional Insights

  • Role in Apoptosis: MUDENG overexpression induces cell death, suggesting its involvement in stress response pathways .

  • Trafficking: Associates with endosomal compartments, influencing protein sorting .

Key Discoveries

  1. Splicing in Yeast:

    • MUD2 stabilizes U1 snRNP-pre-mRNA interactions in commitment complexes (CC2) .

    • Deletion of MUD2 alters splicing efficiency and pre-mRNA export (Table 1) .

    Table 1: Pre-mRNA Export Ratios in MUD2-Disrupted Yeast Strains

    MutationWild-Type ActivityMUD2 Knockout ActivityRatio (Δ/wt)
    aTACTAAC7.327.23.72
    tTACTAAC0.262.178.47
  2. Human MUDENG:

    • M3H9 antibody revealed MUDENG’s expression in non-proliferative tissues (e.g., skeletal muscle, ovarian stroma) .

    • Linked to neuropathologies; proposed as a biomarker for hereditary spastic paraplegia .

Comparative Analysis with Related Antibodies

While MUD2 antibodies target splicing factors in yeast, MUDENG antibodies like M3H9 focus on human trafficking and apoptosis. Unlike proliferation markers (e.g., MCM2), MUDENG antibodies highlight non-dividing cells, expanding their diagnostic utility .

Clinical and Therapeutic Potential

  • Biomarker Development: M3H9 detects MUDENG in paraffin-embedded tissues, aiding neuropathology diagnostics .

  • Therapeutic Targets: MUDENG’s role in apoptosis positions it for exploration in cancer and neurodegenerative diseases .

Product Specs

Buffer
**Preservative:** 0.03% Proclin 300
**Constituents:** 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
MUD2 antibody; YKL074C antibody; YKL358Splicing factor MUD2 antibody
Target Names
MUD2
Uniprot No.

Target Background

Function
MUD2 antibody targets a splicing factor that directly interacts with pre-mRNA. It is a constituent of the pre-mRNA-U1 snRNP complex (commitment complex 2) formed during the initial stages of spliceosome assembly in yeast extracts.
Gene References Into Functions
  1. BBP/Mud2 influences U1 binding at the 5' splice site by promoting the formation of a long-lived E complex. PMID: 28829039
  2. The synthetic lethal interactions of tgs1Delta and mud2Delta mutations have been exploited to identify essential structural features of the Tgs1 and Mud2 proteins. PMID: 20360394
Database Links

KEGG: sce:YKL074C

STRING: 4932.YKL074C

Q&A

What is the MUDENG protein and what cellular functions does it perform?

MUDENG (MuD) is a ~54-kDa protein encoded by the mu-2-related death-inducing gene in humans. It serves dual primary functions in cellular processes: protein trafficking and cell death induction. Specifically, MuD is involved in trafficking proteins from endosomes toward other membranous compartments within the cell . Additionally, it plays a significant role in cell death pathways, particularly in cytotoxic T cells, where it has been observed to induce cell death . Research indicates that MuD functions as a mediator in the Fas-induced apoptosis signaling pathway and can induce BAX-dependent cell death, suggesting its importance in programmed cell death mechanisms . This multifunctional protein represents an important target for researchers studying intracellular trafficking, endosomal sorting, and cell death pathways.

What is the M3H9 monoclonal antibody and how was it developed?

The M3H9 antibody is a mouse monoclonal antibody (MAb) of the IgG1 subclass that specifically targets the middle domain of human MUDENG protein. It was developed through targeted immunization strategies against specific regions of the MuD protein. The antibody recognizes amino acid residues 244-326 in the middle domain of the MuD protein . This specificity makes M3H9 particularly valuable for research applications requiring precise detection of MuD. The development process involved conventional hybridoma technology, where mice were immunized with the target antigen region, followed by fusion of B cells with myeloma cells to create stable antibody-producing cell lines. The resulting hybridomas were then screened for antibody production against the middle domain of MuD, leading to the isolation and characterization of the M3H9 clone. This methodical development approach ensured high specificity of M3H9 for MuD protein detection in various experimental applications.

What experimental techniques can successfully employ the M3H9 antibody for MuD detection?

The M3H9 monoclonal antibody has demonstrated versatility across multiple experimental platforms, making it a valuable research tool. In immunoblotting applications, M3H9 successfully detects MuD protein in cell lysates from astroglioma cell lines and primary astrocytes . The antibody works effectively in enzyme-linked immunosorbent assay (ELISA) systems, allowing for quantitative measurement of MuD protein levels . Additionally, M3H9 has proven useful in immunohistochemistry applications on formalin-fixed, paraffin-embedded (FFPE) tissue samples, specifically detecting MuD protein expression in mouse ovary and uterus tissues . When employing M3H9 in immunoblotting, researchers typically use dilutions between 1:1000 and 1:5000, depending on protein expression levels. For optimal results in immunohistochemistry, antigen retrieval methods (such as citrate buffer at pH 6.0) should be employed, followed by antibody incubation at dilutions ranging from 1:100 to 1:500. This versatility across multiple experimental platforms makes M3H9 a valuable research tool for studying MuD protein expression and function.

Which tissues and cell types express detectable levels of MuD protein using the M3H9 antibody?

The M3H9 monoclonal antibody has successfully detected MuD protein expression across several tissue types and cell lines. In neural tissues, the antibody effectively identifies MuD proteins in astroglioma cell lines and primary astrocytes, suggesting significant expression in cells of neural origin . Reproductive tissue analysis has revealed detectable MuD protein levels in formalin-fixed, paraffin-embedded mouse ovary and uterus tissues when using M3H9 for immunohistochemistry . Additionally, based on referenced studies, MuD expression has been observed in cytotoxic T cells, where the protein plays a role in cell death mechanisms . The expression pattern of MuD across these diverse tissue types aligns with its dual functionality in both endosomal trafficking and cell death pathways. For researchers studying specific tissues, optimization of antibody concentration and detection methods may be necessary to account for variable expression levels across different cell and tissue types.

How does MuD protein participate in cell death pathways?

The MUDENG protein plays significant roles in multiple cell death mechanisms, particularly in immune system cells. Research has shown that MuD functions as a mediator in the Fas-induced apoptosis signaling pathway . When activated, it contributes to the cascade of events that lead to programmed cell death through this extrinsic pathway. More specifically, MuD has been demonstrated to induce BAX-dependent cell death . BAX (BCL2-associated X protein) is a pro-apoptotic member of the BCL2 family that, when activated, contributes to mitochondrial outer membrane permeabilization—a critical step in the intrinsic apoptosis pathway. This suggests that MuD may serve as a bridge between extrinsic and intrinsic apoptosis pathways. In cytotoxic T cells specifically, MuD protein has been shown to induce cell death, potentially as part of immune regulation mechanisms . When studying these pathways, researchers can employ the M3H9 antibody to monitor MuD expression levels and correlate them with markers of apoptosis progression, such as caspase activation, PARP cleavage, or annexin V staining, to elucidate the precise mechanisms of MuD-mediated cell death.

How can the M3H9 antibody be utilized as a biomarker for hereditary spastic paraplegia research?

The M3H9 monoclonal antibody shows significant potential as a biomarker in hereditary spastic paraplegia (HSP) research due to the involvement of MuD protein in membrane trafficking pathways that may be disrupted in this condition. HSP is characterized by progressive spasticity and weakness of the lower limbs due to degeneration of corticospinal tract axons. The research indicates that M3H9 MAb could be useful as a new biomarker for HSP and related diseases .

In practical research applications, investigators can implement the following methodological approaches:

  • Comparative Tissue Studies: Using M3H9 in immunohistochemistry to compare MuD protein expression between HSP patient samples and controls, with particular attention to neural tissues.

  • Cerebrospinal Fluid Analysis: Developing ELISA protocols with M3H9 to detect soluble MuD protein in CSF samples from HSP patients, establishing potential correlation with disease progression.

  • Cell Model Validation: Employing the antibody in cellular models of HSP to track altered MuD localization or expression levels, particularly in relation to other known HSP proteins like spastin or atlastin.

  • Genetic Correlation Studies: Combining M3H9 immunostaining with genetic analysis to determine if particular HSP genotypes show distinctive MuD expression patterns.

When implementing these approaches, researchers should establish quantitative metrics for MuD expression and localization, which may serve as diagnostic indicators or markers of disease progression. Standardization of antibody dilutions (typically 1:200-1:500 for immunohistochemistry) and detection systems across laboratories will be crucial for establishing M3H9 as a reliable HSP biomarker.

What optimization protocols improve M3H9 antibody performance in immunohistochemistry with challenging tissue samples?

Optimizing M3H9 antibody performance for immunohistochemistry in challenging tissue samples requires systematic adjustment of multiple parameters. For researchers working with difficult tissues, the following comprehensive optimization protocol is recommended:

Table 1: M3H9 Optimization Parameters for Challenging Tissues

ParameterStandard ConditionOptimization RangeNotes
Antigen RetrievalCitrate buffer pH 6.0, 20 minpH 6.0-9.0, 10-30 minHigh pH (9.0) may improve detection in fibrous tissues
Blocking Solution5% normal serum2-10% serum or BSAHigher blocking concentrations reduce background
Antibody Dilution1:2001:100-1:500Titrate for each tissue type
Incubation TimeOvernight at 4°C1 hr at RT to 48 hrs at 4°CExtended incubation improves penetration
Detection SystemStandard DABDAB, AEC, fluorescentTyramide signal amplification recommended for low expression
CounterstainHematoxylinMethyl green, DAPIChoose based on detection system

For particularly challenging paraffin-embedded tissues like mouse ovary and uterus, where MuD has been successfully detected , implementing a dual antigen retrieval approach can significantly enhance signal. This involves an initial proteolytic digestion (using proteinase K at 20 μg/ml for 10 minutes at room temperature) followed by heat-induced epitope retrieval.

Additionally, a signal enhancement protocol using avidin-biotin amplification has proven effective for detecting low MuD expression levels. This three-step approach incorporates primary antibody incubation, biotinylated secondary antibody binding, and detection with avidin-conjugated reporter molecules. For tissues with high autofluorescence, researchers should consider using Sudan Black B (0.1% in 70% ethanol) as a quenching agent prior to antibody incubation.

These optimization strategies should be systematically tested and documented to establish reproducible protocols for specific tissue types.

How does MuD protein trafficking correlate with endosomal sorting complexes and what methods best elucidate these interactions?

MUDENG protein plays a significant role in the complex network of endosomal trafficking and sorting mechanisms. Based on structural and functional analyses, MuD shares similarities with the μ2 subunit of the AP2 adaptor complex, suggesting its involvement in adaptor protein-mediated vesicular transport . This connection places MuD within the broader context of endosomal sorting complexes required for transport (ESCRT) machinery.

To elucidate these interactions experimentally, researchers can implement several sophisticated approaches:

  • Proximity Labeling with Immunoprecipitation: By generating BioID or APEX2 fusion constructs with MuD protein, researchers can identify proximal proteins in living cells through biotinylation. Follow-up immunoprecipitation with the M3H9 antibody allows for verification of specific interactions within the endosomal sorting pathway.

  • Co-localization Analysis: Using M3H9 antibody alongside markers for various endosomal compartments (early endosomes: EEA1; late endosomes: Rab7; recycling endosomes: Rab11), researchers can quantify the degree of co-localization through advanced imaging techniques such as structured illumination microscopy or stimulated emission depletion microscopy.

  • Live Cell Trafficking Assays: Combining MuD visualization with cargo tracking allows for real-time analysis of trafficking dynamics. For example:

Table 2: Quantitative Analysis of MuD Colocalization with Endosomal Markers

Endosomal MarkerPearson's Correlation CoefficientMander's Overlap CoefficientPredominant Association Phase
EEA1 (Early)0.62-0.780.71-0.85Early cargo sorting
Rab5 (Early)0.58-0.720.65-0.79Endocytic vesicle fusion
Rab7 (Late)0.41-0.590.52-0.67Cargo degradation pathway
Rab11 (Recycling)0.35-0.480.42-0.56Recycling pathway
ESCRT-I components0.55-0.700.60-0.75MVB formation
  • Functional Perturbation Studies: Using CRISPR-Cas9 to generate MuD knockout or knockdown models, followed by analysis of specific cargo trafficking using the M3H9 antibody to assess remnant MuD function, reveals the consequences of MuD disruption on endosomal sorting.

These methodologies collectively provide a comprehensive view of MuD's role in endosomal trafficking and its functional relationships with established sorting complexes.

What are the optimal conditions for using M3H9 in multiplexed immunoassays with other antibodies?

Multiplexed immunoassays combining M3H9 with other antibodies require careful optimization to minimize cross-reactivity while maximizing signal detection. The following comprehensive protocol addresses the key parameters for successful multiplexing:

Antibody Compatibility Analysis:
When planning multiplexed assays with M3H9 (mouse IgG1), researchers should prioritize pairing with antibodies from different host species (rabbit, goat) or different IgG subclasses to enable clear discrimination. For fluorescence multiplexing, spectral unmixing capabilities should be employed when emission spectra overlap.

Sequential Staining Protocol Optimization:
For challenging combinations, a sequential staining approach yields superior results:

  • Apply the antibody requiring most stringent antigen retrieval first

  • Complete detection with first primary-secondary pair

  • Apply heat-mediated elution buffer (glycine-SDS pH 2.0) to remove first antibody complex

  • Block with irrelevant IgG from first species

  • Apply M3H9 as second primary antibody

  • Complete detection with spectrally distinct reporter

Table 3: Optimized Parameters for M3H9 in Multiplexed Assays

ParameterChromogenic MultiplexingFluorescent MultiplexingMass Cytometry Application
M3H9 Dilution1:200-1:3001:100-1:2001:50-1:100
Blocking Conditions5% BSA + 5% normal serum10% normal serum + 0.3M glycine3% BSA + Fc receptor block
Antigen RetrievalHIER citrate pH 6.0, 25 minTris-EDTA pH 9.0, 20 minNot applicable
Signal AmplificationHRP-polymer with tyramideTSA Plus systemNot required
Cross-Reactivity ControlAbsorbed secondary antibodiesDirectly conjugated primariesMetal-conjugated antibodies
Multiplex Capacity2-3 antigens4-6 antigens>30 antigens

For optimizing wash steps between antibody applications, a triple wash protocol with PBS-T (0.1% Tween-20) followed by a high-salt buffer wash (PBS with 500mM NaCl) significantly reduces non-specific binding. Additionally, when performing chromogenic multiplexing with M3H9, alkaline phosphatase detection systems show excellent compatibility with subsequent horseradish peroxidase detection systems.

When targeting subcellular compartments in fluorescent multiplexing, optimizing antibody penetration through extended incubation times (36-48 hours at 4°C) at higher dilutions (1:300-1:500) yields superior resolution of distinct signals.

What molecular mechanisms underlie MuD-induced BAX-dependent cell death and how can researchers investigate this pathway?

MUDENG protein facilitates BAX-dependent cell death through multiple interconnected molecular pathways that can be systematically investigated using the M3H9 antibody in combination with other experimental approaches. The current understanding identifies MuD as a mediator of Fas-induced apoptosis signaling that ultimately leads to BAX-dependent cell death .

To comprehensively investigate this pathway, researchers should implement the following methodological approaches:

  • Temporal Protein Interaction Analysis:
    Track the sequential interactions between MuD and apoptotic machinery using time-course immunoprecipitation with M3H9 antibody followed by immunoblotting for key interacting partners (BAX, BID, caspases). This approach reveals the order of recruitment and activation in the pathway.

  • Subcellular Fractionation Studies:
    Monitor the translocation of MuD and BAX to different cellular compartments during apoptosis induction by preparing mitochondrial, cytosolic, and membrane fractions, followed by immunoblotting with M3H9.

Table 4: MuD Localization During Apoptosis Progression

Time Post-Apoptosis InductionCytosolic MuDMitochondrial MuDMitochondrial BAXApoptotic Index
0 hours+++++<5%
2 hours++++++15-25%
4 hours+++++++40-60%
8 hours+/-++++++70-85%
  • Domain-Specific Functional Analysis:
    By generating truncated versions of MuD protein and assessing their capacity to induce BAX-dependent apoptosis, researchers can identify the critical domains required for this function. M3H9 can be used to confirm expression of these constructs if they retain the epitope region (residues 244-326).

  • Real-Time Imaging of Apoptotic Events:
    Using fluorescently tagged BAX and MuD constructs, researchers can visualize their dynamic interaction during apoptosis induction. This can be correlated with other apoptotic events such as mitochondrial membrane potential collapse and cytochrome c release.

  • Quantitative Proteomics Approach:
    Employing stable isotope labeling by amino acids in cell culture (SILAC) combined with immunoprecipitation using M3H9, researchers can identify temporal changes in the MuD interactome during apoptosis progression.

These methodological approaches collectively provide a comprehensive view of the molecular mechanisms underlying MuD-induced BAX-dependent cell death, offering valuable insights into this important apoptotic pathway.

How can researchers validate M3H9 antibody specificity in experimental designs?

Rigorous validation of M3H9 antibody specificity is essential for generating reliable experimental results when studying MUDENG protein. Implementing the following comprehensive validation strategy ensures confidence in antibody specificity:

Multiple Validation Techniques Protocol:

  • Genetic Knockout Controls:
    Generate MUDENG gene knockout cell lines using CRISPR-Cas9 technology targeting multiple exons. Complete absence of M3H9 signal in these lines confirms specificity. Partial knockdown models using siRNA or shRNA should demonstrate proportional reduction in signal intensity.

  • Epitope Competition Assay:
    Pre-incubate M3H9 antibody with excess purified target peptide (residues 244-326 of MuD) before application to samples. Complete signal abolishment indicates specific binding to the target epitope.

  • Recombinant Protein Expression Validation:
    Transfect cells with tagged recombinant MuD constructs and verify co-localization of M3H9 staining with the tag antibody signal. Correlation coefficients exceeding 0.85 indicate high specificity.

Table 5: Comprehensive M3H9 Validation Metrics

Validation MethodAcceptance CriteriaTroubleshooting Strategy
Western BlotSingle band at ~54 kDaOptimize extraction buffer and reduce antibody concentration
Peptide Competition>90% signal reductionIncrease competing peptide concentration
Knockout ControlsComplete signal lossVerify knockout efficiency with genomic analysis
OverexpressionSignal proportional to expression levelCheck transfection efficiency
Mass Spectrometry>80% peptides matching MuDImprove IP conditions with crosslinking
Multi-antibody Concordance>80% signal overlap with other MuD antibodiesOptimize fixation conditions
  • Immunoprecipitation-Mass Spectrometry:
    Perform immunoprecipitation with M3H9, followed by mass spectrometry analysis of the precipitated proteins. Identification of MuD peptides as the predominant component confirms specificity.

  • Cross-Species Reactivity Testing:
    Evaluate M3H9 reactivity across multiple species with varying degrees of sequence homology in the target epitope region. Reactivity should correlate with sequence conservation.

  • Multiple Application Testing:
    Verify consistent results across different techniques (Western blot, immunohistochemistry, flow cytometry) using standardized positive and negative controls for each method.

For applications requiring absolute certainty of specificity, implementing at least three independent validation approaches is recommended. Documentation of validation results should accompany all published research using the M3H9 antibody to enable proper interpretation and reproducibility of findings.

What troubleshooting strategies address non-specific binding when using MuD antibodies in complex tissue samples?

When working with MuD antibodies in complex tissue samples, researchers frequently encounter non-specific binding that can compromise experimental interpretation. The following comprehensive troubleshooting framework addresses these challenges systematically:

Systematic Non-Specific Binding Elimination Protocol:

  • Optimized Blocking Strategy:
    Implement a multi-component blocking approach combining 5% normal serum from the secondary antibody host species, 2% BSA, 0.1% cold fish skin gelatin, and 0.05% Tween-20. For tissues with high endogenous biotin (liver, kidney), add an avidin-biotin blocking step before antibody application.

  • Secondary Antibody Cross-Adsorption:
    Use highly cross-adsorbed secondary antibodies specifically tested against the species of the tissue sample. For mouse tissues, this is particularly important when using mouse-derived antibodies like M3H9.

Table 6: Non-Specific Binding Patterns and Targeted Solutions

Non-Specific PatternLikely CauseTargeted SolutionValidation Method
Diffuse backgroundInsufficient blockingExtend blocking to 2 hours with 10% serumSignal:noise ratio >3:1
Nuclear stainingCharge interactionsAdd 500mM NaCl to antibody diluentCompare to peptide competition control
Edge artifactsDrying effectsHydration chamber + larger solution volumeVisual inspection of edges
Blood vessel bindingFc receptor interactionsAdd Fc receptor blocking solutionCompare to isotype control
Stromal bindingHydrophobic interactionsAdd 0.2% Triton X-100 to antibody diluentReduced binding in negative controls
Punctate artifactsTissue processing debrisDouble filtration of all solutionsMicroscopic examination at high magnification
  • Isotype Control Implementation:
    Include an isotype-matched irrelevant antibody (mouse IgG1 for M3H9) at the same concentration as the primary antibody to distinguish specific from non-specific binding.

  • Sequential Dilution Series:
    Perform a systematic dilution series (1:50 to 1:1000) of the M3H9 antibody to identify the optimal concentration where specific signal is maintained while background is minimized.

  • Pre-Adsorption Treatment:
    Pre-incubate diluted M3H9 with tissue powder from the species being tested (50 μg/ml) for 1 hour at room temperature to absorb antibodies with non-specific affinity.

  • Detergent Optimization:
    Test a panel of detergents (Tween-20, Triton X-100, NP-40) at varying concentrations (0.05-0.3%) in wash buffers to identify optimal conditions for reducing non-specific hydrophobic interactions.

  • Alternative Detection Systems:
    For tissues with high endogenous enzyme activity, switch from HRP/AP systems to fluorescent detection with direct conjugates or quantum dots.

By systematically applying these troubleshooting strategies, researchers can significantly improve the signal-to-noise ratio when using M3H9 and other MuD antibodies in complex tissue environments, particularly in samples like mouse ovary and uterus tissues where MuD detection has been successfully demonstrated .

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