mei3 Antibody

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Description

Structure and Function of MEIS3 Protein

MEIS3 belongs to the homeobox protein family, characterized by a conserved DNA-binding domain. Key features include:

  • Molecular Weight: ≈41 kDa (predicted) .

  • Domains: Contains a homeobox domain critical for DNA interaction and transcriptional modulation .

  • Biological Roles:

    • Regulates PDPK1, NDFIP1, BNIP3, and CCNG1 expression, promoting pancreatic beta-cell survival .

    • Associates with cell cycle control and developmental pathways .

MEIS3 Antibody Characteristics

Commercially available MEIS3 antibodies vary in clonality, host species, and applications:

VendorCloneHostClonalityApplicationsReactivity
Abcam EPR15416RabbitMonoclonalWB, Flow Cyt (Intra)Human, Mouse, Rat
Atlas Antibodies PolyclonalRabbitPolyclonalIHC, ICC-IF, WBHuman
Thermo Fisher N/ARabbitPolyclonalWB, IHCHuman

Key Notes:

  • Epitope Specificity: Anti-MEIS3 antibodies often target regions such as the N-terminal (e.g., residues PYGPHRPPQP in Thermo Fisher’s PA5-61288) .

  • Cross-Reactivity: Some antibodies exhibit cross-reactivity with orthologs (75% identity in mouse, 82% in rat) .

Mechanistic Insights

  • Western Blot Validation:

    • Detects MEIS3 at ≈41 kDa in human fetal lung/heart tissues and rat organs .

    • Expression is upregulated in pancreatic beta-cells under stress, correlating with survival pathways .

  • Flow Cytometry: Intracellular staining in HeLa cells confirmed specificity, with minimal background compared to isotype controls .

Evolutionary and Functional Studies

  • Yeast Homologs: Anti-mei3 monoclonal antibodies identified a 21 kDa protein in Schizosaccharomyces pombe, essential for meiosis initiation .

  • Neurospora crassa: MEI3 (a RecA/Rad51 homolog) is induced post-DNA damage, highlighting conserved roles in recombination/repair .

Applications in Disease Research

  • Cancer: MEIS3 overexpression is linked to tumor progression in multiple myeloma and leukemia models .

  • Diabetes: Modulation of PDPK1 by MEIS3 suggests therapeutic potential for beta-cell preservation .

Technical Considerations

  • Buffer Compatibility: Optimal performance in lysis buffers containing 1% NP-40 or RIPA .

  • Storage: Stable at 4°C for 1–2 weeks; long-term storage requires -20°C with avoidance of freeze-thaw cycles .

Limitations and Challenges

  • Species Specificity: Most antibodies are validated for human/mouse/rat; non-mammalian systems (e.g., yeast) require custom reagents .

  • Batch Variability: Polyclonal antibodies may show lot-to-lot inconsistency .

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
mei3 antibody; SPBC119.04 antibody; 21 kDa protein inducing meiosis and sporulation antibody
Target Names
mei3
Uniprot No.

Target Background

Function
This protein, expressed under the control of the mating-type locus, induces meiosis and sporulation in fission yeast. It downregulates the activity of the Ran1/Pat1 gene product.
Database Links

Q&A

What is MEIS3 and why is it significant in research?

MEIS3 is a homeobox protein belonging to the TALE (three amino acid loop extension) family of transcription factors. Its significance in research lies primarily in its role in cancer progression. Studies have shown that MEIS3 can promote cancer cell metastasis, with high expression levels correlating with poor prognosis in patients with certain cancers . Understanding MEIS3 expression patterns helps researchers investigate underlying mechanisms of cancer progression and identify potential therapeutic targets.

What sample types can be analyzed using MEIS3 antibodies?

MEIS3 antibodies can be used to analyze multiple sample types including:

  • Formalin-fixed paraffin-embedded (FFPE) tissue sections, which require antigen retrieval methods like microwave treatment with sodium citrate buffer

  • Cell lysates for protein expression analysis

  • Cultured cells for immunocytochemistry applications

The antibodies work effectively with human tissue samples including cancer biopsies, as demonstrated in studies examining MEIS3 expression in colorectal cancer tissues .

What validation methods should be employed before using MEIS3 antibodies?

Rigorous validation of MEIS3 antibodies is essential before experimental use. Recommended validation approaches include:

  • Western blot analysis to confirm specificity by detecting a single band of the expected molecular weight

  • Positive and negative control tissues with known MEIS3 expression levels

  • Silencing experiments using shRNA targeting MEIS3 to confirm specificity, as demonstrated in studies where lentiviral particles expressing shMEIS3 effectively reduced MEIS3 expression without affecting related proteins like MEIS1 and MEIS2

  • Cross-validation with multiple detection methods (IHC, WB, ICC-IF) to ensure consistent results

What is the recommended protocol for MEIS3 antibody use in immunohistochemistry?

For optimal results in immunohistochemistry applications with MEIS3 antibodies, researchers should follow these methodological steps:

  • Tissue preparation: Fix tissues in 4% paraformaldehyde and embed in paraffin

  • Section preparation: Cut tissues at approximately 8 μm thickness

  • Deparaffinization: Process through xylene and graded alcohol series (100% to 50%)

  • Antigen retrieval: Immerse in sodium citrate antigen repair solution and apply microwave method

  • Blocking: Treat with 5% hydrogen peroxide for 10 minutes, then block with 10% serum for 1 hour

  • Primary antibody incubation: Apply MEIS3 antibody at 1:100 dilution and incubate overnight at 4°C

  • Secondary antibody application: Wash with PBS three times, then incubate with HRP-conjugated IgG (1:500) for 1 hour at room temperature

  • Detection: Develop color using the SABC method

  • Mounting: Dehydrate with gradient ethanol and xylene, then seal with neutral gum

How should Western blot analysis be performed with MEIS3 antibodies?

For effective Western blot analysis using MEIS3 antibodies:

  • Sample preparation: Extract proteins from tissues or cells and quantify concentration

  • Gel electrophoresis: Resolve protein samples on a 10% sodium dodecyl sulfate polyacrylamide gel

  • Transfer: Electrophoretically transfer proteins to a PVDF membrane

  • Blocking: Block membrane with 5% fat-free milk in TBST for 30 minutes

  • Primary antibody incubation: Incubate membrane with MEIS3 antibody overnight at 4°C

  • Washing: Wash three times with TBST for 5 minutes each

  • Secondary antibody incubation: Apply secondary antibody at 1:5000 dilution for 2 hours at room temperature

  • Detection: Develop and scan the film

  • Analysis: Use quantitative software to analyze relative protein expression, calculating the ratio = (MEIS3/ACTB) for standardized results

What controls are essential when working with MEIS3 antibodies?

Essential controls for MEIS3 antibody experiments include:

  • Positive control: Tissues or cells known to express MEIS3

  • Negative control: Omission of primary antibody to assess background staining

  • Isotype control: Using non-specific antibody of the same isotype

  • Knockdown validation: Comparing results from cells with MEIS3 silenced via shRNA to confirm specificity, as exemplified in studies where researchers used three different shRNA sequences to effectively silence MEIS3

  • Loading control: Using housekeeping proteins like β-actin (ACTB) for Western blot normalization

How can MEIS3 antibodies be utilized to study cancer progression?

MEIS3 antibodies provide valuable tools for investigating cancer progression through multiple approaches:

  • Prognostic marker analysis: Stratify patients based on MEIS3 expression levels to predict recurrence risk, particularly in colorectal cancer where high MEIS3 expression correlates with higher recurrence rates post-surgery

  • Metastatic potential assessment: Examine MEIS3 levels in conjunction with cell migration assays to correlate expression with metastatic behavior

  • Stage-specific expression analysis: Compare MEIS3 expression across different cancer stages to identify correlations with disease advancement

  • Therapeutic target evaluation: Assess the impact of targeting MEIS3 on cancer cell behavior using knockdown models

Research has demonstrated that when stratified by MEIS3 protein level and clinical stage, patients with higher recurrence risk can be identified beyond what would be discovered by current clinical methods alone .

What methodological approaches can resolve contradictory findings in MEIS3 expression studies?

When faced with contradictory findings in MEIS3 expression studies, researchers should consider these methodological approaches:

  • Multiple antibody validation: Use different MEIS3 antibodies targeting distinct epitopes to confirm findings

  • Cross-platform verification: Validate results using multiple techniques (IHC, WB, RT-PCR)

  • Standardized quantification: Implement rigorous quantification methods like the ratio = (MEIS3c/ACTB c)/(MEIS3p/ACTBp) for comparing cancer tissue (c) to paired normal tissue (p)

  • Statistical analysis: Apply appropriate statistical methods considering sample size and data distribution

  • Gene silencing experiments: Perform knockdown studies to confirm functional relevance of observed expression patterns

  • Temporal assessment: Evaluate expression at multiple time points to account for dynamic changes

How does MEIS3 antibody performance compare across different detection methods?

MEIS3 antibodies demonstrate varying performance characteristics across detection methods:

Detection MethodKey Performance CharacteristicsOptimization Considerations
IHCEnables visualization of spatial distribution in tissues; Some antibodies may not work well for IHC (e.g., CU-P1-1) Optimization of antigen retrieval and antibody dilution critical; 1:100 dilution typically effective
Western BlotProvides molecular weight confirmation; Allows quantitative analysisRequires optimization of blocking conditions; 5% fat-free milk in TBST recommended
ICC-IFAllows subcellular localization studiesSecondary antibody selection important for signal optimization

Specific antibody clones may perform differently across these applications. For example, in one study examining SARS-CoV-2 antibodies (different context but relevant methodologically), some antibodies worked well for IHC while others did not, despite recognizing the same target protein .

What are common challenges when using MEIS3 antibodies and how can they be addressed?

Common challenges with MEIS3 antibodies and their solutions include:

  • Nonspecific binding:

    • Increase blocking time and concentration (5% milk or BSA)

    • Optimize antibody dilution through titration experiments

    • Include additional washing steps

  • Variable staining intensity:

    • Standardize fixation protocols and times

    • Ensure consistent antigen retrieval conditions

    • Validate antibody lot-to-lot consistency

  • Background in IHC:

    • Pretreat sections with hydrogen peroxide (5% for 10 minutes)

    • Increase blocking duration with appropriate serum

    • Optimize primary antibody concentration

  • Low signal strength:

    • Enhance antigen retrieval methods (e.g., microwave method with sodium citrate)

    • Increase antibody concentration or incubation time

    • Utilize signal amplification techniques like the SABC method

How should researchers evaluate specificity of MEIS3 antibodies?

Specificity evaluation for MEIS3 antibodies should include:

  • Western blot analysis: Confirm single band of expected molecular weight

  • Knockdown validation: Compare antibody reactivity in MEIS3-silenced cells versus controls

  • Cross-reactivity assessment: Test antibody against related proteins (MEIS1, MEIS2) to ensure specificity

  • Peptide competition: Pre-incubate antibody with immunizing peptide to block specific binding

  • Antibody validation across applications: Ensure consistent results across IHC, WB, and ICC-IF

  • Positive and negative tissue controls: Include tissues with known MEIS3 expression profiles

The effectiveness of this approach is demonstrated in studies where researchers validated MEIS3 knockdown by analyzing mRNA and protein levels of MEIS1, MEIS2, and MEIS3, confirming that virus particles specifically silenced MEIS3 expression without affecting related proteins .

What quantification methods are appropriate for MEIS3 expression analysis?

For accurate quantification of MEIS3 expression:

  • Western blot densitometry:

    • Use Quantitative One 4.40 or similar software

    • Calculate relative expression using the formula: ratio = (MEIS3/ACTB)

    • For comparing cancer to normal tissue: ratio = (MEIS3c/ACTB c)/(MEIS3p/ACTBp)

  • IHC quantification:

    • Score staining intensity (0=negative, 1=weak, 2=moderate, 3=strong)

    • Determine percentage of positive cells

    • Calculate H-score or similar composite metrics

    • Use digital image analysis software for more objective assessment

  • Statistical analysis:

    • Apply appropriate statistical tests based on data distribution

    • Consider sample size and use power calculations

    • Implement multiple comparison corrections when necessary

How are MEIS3 antibodies being used in prognostic biomarker development?

MEIS3 antibodies are increasingly valuable in prognostic biomarker development:

  • Recurrence risk stratification: Research demonstrates that MEIS3 expression levels can stratify cancer patients beyond traditional clinical staging. For example, stage II patients with high MEIS3 expression show similar recurrence risk as stage III patients with low MEIS3 expression .

  • Combination biomarker panels: MEIS3 assessment combined with other markers offers improved prognostic value. Studies suggest that "combination of tumor budding/EMT, functional genes, and clinical stage may effectively screen patients with high recurrence risk" .

  • Treatment response prediction: Emerging applications explore correlations between MEIS3 expression and response to specific therapies.

  • Monitoring tools: Sequential analysis of MEIS3 expression during treatment may provide insights into therapeutic efficacy.

  • Molecular subtyping: MEIS3 expression patterns contribute to molecular classification systems for personalized treatment approaches.

What technical advances are improving MEIS3 antibody applications in research?

Technical advances enhancing MEIS3 antibody applications include:

  • Recombinant antibody technology: Moving beyond hybridoma maintenance to recombinant protein expression, as seen in studies where "hybridomas have been sequenced, thereby allowing scientists to express these valuable mAbs as recombinant proteins" .

  • Multiplex immunoassays: Enabling simultaneous detection of MEIS3 with other proteins of interest using multicolor immunofluorescence approaches.

  • Automated image analysis systems: Improving standardization and quantification of MEIS3 expression in tissue samples.

  • Single-cell applications: Adapting MEIS3 antibodies for single-cell protein analysis techniques.

  • Humanized antibody development: Creating versions of research antibodies suitable for potential therapeutic applications, following approaches similar to those used for other targets where "mouse nucleic acids corresponding to the six CDR regions would be grafted into a human IgG immunoglobulin molecule" .

How does MEIS3 expression kinetics inform longitudinal study design?

Understanding MEIS3 expression kinetics is essential for designing effective longitudinal studies:

  • Temporal sampling considerations: While not directly addressing MEIS3, research on antibody responses to other targets suggests critical sampling timepoints. For example, studies examining antibody responses to SARS-CoV-2 found that "IgM and IgA response to all three antigens [showed] rapid decline... following the peak OD between 20- and 30-days" while "IgG OD remained high in the majority of individuals, even up to 94 days" .

  • Disease progression monitoring: Serial sampling strategies should reflect expected changes in MEIS3 expression during disease advancement.

  • Treatment effect assessment: Sampling intervals should be designed to capture both immediate and delayed effects of interventions on MEIS3 expression.

  • Recurrence surveillance: Follow-up protocols should incorporate MEIS3 testing at intervals informed by known recurrence patterns.

  • Control comparisons: Longitudinal studies should include appropriate control groups with matched sampling schedules to distinguish disease-specific from normal temporal variations.

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