MAP3K11 Antibody

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Description

Introduction to MAP3K11 Antibody

MAP3K11 antibodies are monoclonal or polyclonal reagents that bind specifically to the MAP3K11 protein (also called MLK3 or SPRK). These antibodies enable researchers to investigate the protein's expression, localization, and functional roles in cellular signaling pathways, particularly the JNK, p38, and ERK cascades .

Functional Significance of MAP3K11

MAP3K11 regulates stress-activated kinase pathways by phosphorylating downstream targets like JNK1, p38, and ERK. Key roles include:

  • Cell Proliferation: Required for serum-stimulated growth via MAPK activation .

  • Leukemogenesis: Acts as a tumor suppressor in pre-B-cell leukemia, with repression by miR-125b linked to oncogenic transformation .

  • NF-κB Signaling: Directly phosphorylates IκB kinase α/β, influencing inflammatory and immune responses .

Cancer Biology

  • Tumor Suppression: MAP3K11 loss (via miR-125b overexpression) drives pre-B-cell leukemia by conferring growth factor independence and apoptosis resistance. Reconstituting MAP3K11 reverses leukemic phenotypes in vitro and in vivo .

  • Mechanistic Insights: MAP3K11 knockdown does not impair JNK/p38/ERK activation under basal conditions but disrupts stress-induced signaling in cancer models .

Signaling Pathway Analysis

  • Kinase Activation: Antibodies enable detection of MAP3K11 expression changes in response to cytokines or Rho GTPase activation .

  • Protein Interactions: Used to study binding partners like MAP2K4/MKK4 and MAP2K7/MKK7 in kinase cascades .

Validation and Technical Considerations

  • Specificity: Both clones 3T1 and 3D11 show high specificity for human MAP3K11, validated via transfected lysate WB .

  • Limitations: None are recommended for diagnostic use or in vivo functional studies without additional validation .

Product Specs

Buffer
PBS with 0.02% Sodium Azide, 50% Glycerol, pH 7.3. Store at -20°C. Avoid freeze/thaw cycles.
Lead Time
Typically, we can ship products within 1-3 business days after receiving your order. Delivery time may vary depending on the purchasing method or location. Please consult your local distributors for specific delivery times.
Synonyms
2610017K16Rik antibody; EC 2.7.11.25 antibody; M3K11_HUMAN antibody; Map3k11 antibody; MEKK11 antibody; MGC17114 antibody; Mitogen-activated protein kinase kinase kinase 11 antibody; Mixed lineage kinase 3 antibody; Mixed lineage protein kinase 3 antibody; Mlk-3 antibody; Mlk3 antibody; Protein tyrosine kinase PTK1 antibody; PTK1 antibody; RHOE antibody; SH3 domain containing proline rich kinase antibody; SPRK antibody; Src-homology 3 domain-containing proline-rich kinase antibody
Target Names
Uniprot No.

Target Background

Function
MAP3K11, also known as MLK3 (Mixed Lineage Kinase 3), is a serine/threonine kinase that plays a crucial role in various cellular processes. It activates the JUN N-terminal pathway, which is essential for serum-stimulated cell proliferation and mitogen and cytokine activation of MAPK14 (p38), MAPK3 (ERK) and MAPK8 (JNK1). This activation occurs through phosphorylation and activation of MAP2K4/MKK4 and MAP2K7/MKK7. MLK3 is also involved in mitogen-stimulated phosphorylation and activation of BRAF, although it does not directly phosphorylate BRAF. Furthermore, MLK3 influences microtubule organization during the cell cycle.
Gene References Into Functions
  1. Research suggests that in the initial response to stressful stimuli, the interaction between MLK4beta and MLK3 is critical for regulating MLK3 activity and MAPK signaling. However, after prolonged stress exposure, MLK4beta and MLK3 proteins decline through CHIP-dependent degradation. PMID: 28757353
  2. This investigation identifies an EGFR-DOCK180-RAC1-MLK3-JNK signaling axis that drives glioblastoma cell migration and dissemination. These findings suggest that MLK3 may be a promising therapeutic target for treating glioblastoma. PMID: 28487380
  3. Chronic hypoxia can reduce MLK3 expression through posttranscriptional regulatory mechanisms. PMID: 28555332
  4. Data indicate that BTG2, MAP3K11, RPS6KA1 and PRDM1 are potential targets of microRNA miR-125b. PMID: 27613090
  5. Elevated expression of MAP3K11 is associated with esophageal cancer. PMID: 26717044
  6. MLK3 serves as a common upstream kinase of AMPK and JNK and functions as a direct upstream kinase for AMPK independent of LKB1. PMID: 25874865
  7. MLK3 is a newly recognized integral component of HER2 biology in HER2+ breast tumors. PMID: 26152725
  8. MLK3 is a critical factor in controlling the activity of kinase networks that regulate cellular responses to varying concentrations of reactive oxygen species. PMID: 24894995
  9. Signaling pathways associated with the Pro252His mutation in MLK3 are located in the kinase domain, which is crucial for regulating downstream signaling pathways. PMID: 24628919
  10. CHIP modulates MLK3 protein levels in response to Geldanamycin and stress stimuli. CHIP-dependent regulation of MLK3 is essential for suppressing SKOV3 ovarian cancer cell invasion. PMID: 24912674
  11. Data indicate URMC-099 as an orally bioavailable, potent mixed lineage kinase 3 (MLK3) inhibitor. PMID: 24044867
  12. NS5A targets MLK3 with multiple downstream consequences for both apoptosis and K+ homeostasis. PMID: 23857585
  13. Lysine 63-linked ubiquitination modulates mixed lineage kinase-3 interaction with JIP1 scaffold protein in cytokine-induced pancreatic beta cell death. PMID: 23172226
  14. High MAP3K11 expression is associated with prostate cancer. PMID: 22761715
  15. Findings suggest that the MLK3-JNK-paxillin signaling axis may serve as a potential prognostic marker in breast cancer metastasis. PMID: 22700880
  16. Data suggest that MEKK2 and MLK3 represent untargeted kinases in tumor biology that may hold potential for therapeutic development. PMID: 22139075
  17. The findings establish MLK3 as an important regulator of MMP expression and invasion in ovarian cancer cells. PMID: 22652451
  18. These findings collectively suggest that the MLK3-Pin1 signaling cascade plays a critical role in regulating the cell cycle, centrosome numbers, and oncogenesis. PMID: 22566623
  19. Data show that HBx can induce HepG2 cell apoptosis via a novel active MLK3-MKK7-JNKs signaling module to upregulate FasL protein expression. PMID: 22509080
  20. Co-expression of MLK3 and beta-catenin resulted in significant G(2)/M arrest. PMID: 21880738
  21. These results establish merlin as a potent inhibitor of mixed lineage kinase 3, extracellular signal-regulated kinase, and c-jun N-terminal kinase activation in cancer. PMID: 20890305
  22. MLK3 is critical for breast cancer cell migration and promotes cell transformation. PMID: 20514022
  23. Studies indicate that the MLK3/JNK1 axis mediates G17-induced gastric cancer cell migration, which can be targeted for designing novel therapeutic strategies for treating gastric malignancies. PMID: 20150185
  24. Novel proteolytic processing of MLK3 may negatively control MLK3 signaling to JNK. PMID: 20158498
  25. MLK3 mutations are associated with the mismatch repair deficiency in gastrointestinal cancer. PMID: 19955118
  26. Estradiol inhibits the proapoptotic function of MLK3 as a mechanism to limit cytotoxic drug-induced death of ER(+) breast cancer cells. PMID: 20145118
  27. MLK3 functions to limit IKK activity, and depleting MLK3 helps protect cells from etoposide-induced cell death through activation of IKK-dependent signaling. PMID: 19782705
  28. MLK3 may be a negative regulator of the growth-promoting and transforming properties of Rac1. PMID: 11713255
  29. Twelve in vivo MLK3 phosphorylation sites have been identified. PMID: 11969422
  30. Negative regulation by protein kinase B leads to cell survival. PMID: 12458207
  31. Ceramide and TNF-alpha are agonists. PMID: 12504027
  32. MLK3 is phosphorylated by Akt2, resulting in the disassembly of the JNK complex bound to POSH and down-regulation of the JNK signaling pathway. PMID: 14504284
  33. MLK3 signaling requires Hsp90/p50cdc37. PMID: 15001580
  34. These observations support a role for mixed lineage kinases, including MLK3, in the TGF-beta1-induced cell death mechanism. PMID: 15069087
  35. MLK3 is required for mitogen activation of B-Raf, ERK, and cell proliferation. PMID: 15258589
  36. MLK3 might be a unique target for selectively inhibiting transformed cell proliferation by disrupting mitotic spindle formation, leading to mitotic arrest. PMID: 15923109
  37. Cdc42 induces activation loop phosphorylation and membrane targeting of mixed lineage kinase 3. PMID: 16253996
  38. Merlin and MLK3 can interact in situ, and merlin can disrupt the interactions between B-Raf and Raf-1 or those between MLK3 and either B-Raf or Raf-1. PMID: 16537381
  39. JNK-mediated feedback phosphorylation of MLK3 regulates its activation and deactivation states by cycling between Triton-soluble and Triton-insoluble forms. PMID: 16687404
  40. This research establishes a direct link between GSK-3beta and MLK3 activation in a neuronal cell death pathway and identifies MLK3 as a direct downstream target of GSK-3beta. PMID: 17711861
  41. The p38 MAPK inhibitors SB202190 and SB203580 activated JNK via the MLK-3/MKK7 pathway. PMID: 18222647
  42. These findings demonstrate a scaffolding role for MLK3 in controlling the extent of Rho activation, which modulates cell migration. PMID: 18851832
  43. K48-linked ubiquitination directs Mixed lineage kinase 3 for proteosomal degradation, while K63-linked ubiquitination is important for Mixed lineage kinase 3 kinase activity. PMID: 19586614

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Database Links

HGNC: 6850

OMIM: 600050

KEGG: hsa:4296

STRING: 9606.ENSP00000309597

UniGene: Hs.502872

Protein Families
Protein kinase superfamily, STE Ser/Thr protein kinase family, MAP kinase kinase kinase subfamily
Subcellular Location
Cytoplasm, cytoskeleton, microtubule organizing center, centrosome. Note=Location is cell cycle dependent.
Tissue Specificity
Expressed in a wide variety of normal and neoplastic tissues including fetal lung, liver, heart and kidney, and adult lung, liver, heart, kidney, placenta, skeletal muscle, pancreas and brain.

Q&A

What is MAP3K11 and why is it significant in cellular signaling research?

MAP3K11/MLK3 functions as a regulatory kinase in mitogen- and stress-activated signaling pathways. Its significance extends to both tumor biology and immune regulation. In certain contexts, MAP3K11 acts as a tumor suppressor targeted by oncogenic microRNAs such as miR-125b . MAP3K11 also negatively regulates T cell activation and cytotoxicity by controlling NFATc1 nuclear translocation through phosphorylation of a prolyl isomerase called Ppia . Understanding MAP3K11's dual role in cancer progression and immune function makes it a compelling target for research in cancer immunotherapy and signaling biology.

What considerations should guide MAP3K11 antibody selection for specific applications?

When selecting a MAP3K11 antibody, researchers should consider:

  • Target epitope location: N-terminal, C-terminal, or internal domains may yield different results depending on protein interactions or post-translational modifications

  • Clonality: Monoclonal antibodies offer higher specificity but may be sensitive to epitope masking, while polyclonals provide broader recognition

  • Species reactivity: Ensure cross-reactivity with your experimental model system

  • Validated applications: Confirm the antibody has been validated for your specific application (Western blot, IHC, IF, flow cytometry, or IP)

  • Phospho-specificity: For signaling studies, determine if phospho-specific antibodies are required

Each experimental approach requires different antibody characteristics. For instance, MAP3K11's role in leukemogenesis investigation would benefit from antibodies that can detect subtle changes in protein levels following miR-125b overexpression .

What are the critical considerations for MAP3K11 antibody validation?

Thorough validation is essential due to the complex regulatory networks involving MAP3K11:

  • Specificity testing: Validate using MAP3K11 knockout/knockdown systems similar to those employed in MAP3K11 functional studies

  • Cross-reactivity assessment: Test against related kinases, particularly other MAP3K family members

  • Context-dependent validation: Verify performance in systems where MAP3K11 levels are manipulated (e.g., miR-125b overexpression systems or following MLK3 inhibitor treatment)

  • Positive controls: Include samples with known MAP3K11 expression (e.g., pre-B cells or T cell populations)

  • Batch testing: Assess lot-to-lot variability, particularly for polyclonal antibodies

Research has shown that MAP3K11 protein levels can be reduced to approximately 25% of normal amounts in cells overexpressing miR-125b , providing a useful benchmark for sensitivity testing.

How should Western blot protocols be optimized for MAP3K11 detection?

For optimal MAP3K11 detection by Western blot:

  • Sample preparation: Use RIPA or NP-40 buffer with phosphatase and protease inhibitors, particularly when studying MAP3K11's role in phosphorylation cascades

  • Protein loading: Load 30-50μg of total protein per lane

  • Gel percentage: Use 8-10% SDS-PAGE gels for optimal resolution of MAP3K11 (~96 kDa)

  • Transfer conditions: Transfer to PVDF membrane at 100V for 60-90 minutes using wet transfer for best results

  • Blocking: Block with 5% BSA in TBST for phospho-specific detection or 5% non-fat milk for total MAP3K11

  • Antibody dilution: Generally use 1:1000 for primary antibody incubation overnight at 4°C

  • Washing: Perform 3-5 five-minute TBST washes before and after secondary antibody incubation

  • Detection controls: Include samples with modulated MAP3K11 expression

Research has demonstrated that MAP3K11 expression can be reliably detected and quantified in pre-B cells and that miR-125b expression causes a reduction to approximately 25% of normal levels .

What approaches are recommended for studying MAP3K11 protein interactions?

MAP3K11 interactions with other proteins are critical to its function in signaling pathways:

  • Co-immunoprecipitation (Co-IP): Use antibodies against MAP3K11 to pull down protein complexes, followed by Western blotting for suspected interaction partners

  • Reciprocal Co-IP: Perform the reverse experiment using antibodies against the suspected binding partner

  • Crosslinking: Consider mild crosslinking to stabilize transient interactions

  • Proximity ligation assay (PLA): Visualize protein-protein interactions in situ with high sensitivity

  • FRET/BRET approaches: For live-cell analysis of dynamic interactions

Research has identified critical interactions between MAP3K11 and Ppia (peptidylprolyl isomerase A), which plays a role in regulating NFATc1 nuclear translocation in T cells . These interactions can be studied using the approaches above.

How can MAP3K11 antibodies be utilized in cancer research studies?

For cancer research applications:

  • Tissue microarrays: Assess MAP3K11 expression across multiple patient samples using validated IHC protocols

  • Correlation studies: Analyze MAP3K11 expression in relation to clinical outcomes or molecular subtypes

  • miRNA-MAP3K11 axis investigation: Evaluate inverse expression patterns between miR-125b and MAP3K11 in cancer samples

  • Functional studies: Compare MAP3K11 levels before and after treatment with targeted therapies

Research has identified MAP3K11 as a tumor suppressor in certain contexts, such as in B-cell leukemia where it is targeted by the oncomiR miR-125b . Conversely, in breast cancer, MAP3K11 may have different roles, making antibody-based detection in different cancer types particularly valuable .

What protocols are recommended for MAP3K11 detection in immune cells?

For immune cell applications:

  • Flow cytometry: Use permeabilization protocols optimized for intracellular kinases

  • Immunofluorescence: Employ fixation methods that preserve epitope accessibility

  • Phospho-flow: For detecting activated MAP3K11 and downstream targets in immune cell subpopulations

  • Cell sorting + Western blot: For quantitative analysis of MAP3K11 in specific immune cell subsets

Research has shown that MAP3K11 is abundantly expressed in T cells and plays a role in regulating their activation and cytotoxicity . The detection of MAP3K11 in CD8+ T cells can be particularly revealing of its function in anti-tumor immunity.

How can researchers investigate the MAP3K11-miRNA regulatory axis?

To study miRNA-mediated regulation of MAP3K11:

  • Reporter assays: Construct luciferase reporters containing MAP3K11 3'UTR with wild-type or mutated miRNA binding sites

  • miRNA overexpression/inhibition: Transfect cells with miRNA mimics or inhibitors and assess MAP3K11 protein levels by Western blot

  • RNA-protein correlation: Perform qPCR for miRNA expression alongside Western blot for MAP3K11 protein

  • RISC-IP: Immunoprecipitate RISC components and analyze for bound MAP3K11 mRNA

Research has demonstrated that miR-125b directly targets MAP3K11, and disruption of the putative binding site within the MAP3K11 3′-UTR abolishes the suppressive effect of miR-125b in reporter assays .

What techniques can reveal MAP3K11's role in T cell function and immunotherapy response?

For immunology applications:

  • Ex vivo T cell activation: Isolate T cells from peripheral blood, treat with MAP3K11 inhibitors, and assess activation markers

  • Cytotoxicity assays: Measure killing capacity of T cells following MAP3K11 inhibition or knockdown

  • Immune checkpoint analysis: Correlate MAP3K11 levels with checkpoint receptor expression

  • Cytokine profiling: Measure changes in cytokine production following MAP3K11 modulation

Research has shown that inhibition of MAP3K11 with URMC-099 in T cells from breast cancer patients increases the CD8+ cytotoxic T cell population, suggesting potential immunotherapeutic applications .

How should researchers approach inconsistent or contradictory MAP3K11 antibody results?

When facing contradictory results:

  • Antibody validation: Re-validate antibody specificity using knockout/knockdown controls

  • Epitope accessibility: Consider whether protein interactions or modifications might mask epitopes

  • Multiple antibody approach: Use antibodies targeting different epitopes

  • Alternative methodologies: Confirm findings using complementary techniques (e.g., mass spectrometry)

  • Cell-type specificity: Determine if MAP3K11 function differs between cell types

MAP3K11 has shown seemingly contradictory roles in different cancers. For example, it functions as a tumor suppressor when targeted by miR-125b in B-cell leukemia , but shows different roles in breast cancer contexts , highlighting the importance of cellular context in interpretation.

What approaches can detect MAP3K11 kinase activity rather than just protein levels?

To assess functional kinase activity:

  • Phospho-specific antibodies: Detect MAP3K11 auto-phosphorylation or phosphorylation of known substrates

  • In vitro kinase assays: Immunoprecipitate MAP3K11 and measure phosphorylation of substrates

  • Phosphoproteomics: Analyze global phosphorylation changes following MAP3K11 inhibition/knockdown

  • Live-cell kinase sensors: Employ FRET-based sensors for real-time activity monitoring

Research has shown that MLK3/MAP3K11 directly phosphorylates Ppia and NFATc1, regulating their function and subcellular localization in T cells .

What protocols yield optimal MAP3K11 staining in tissue samples?

For tissue-based detection:

  • Fixation: Use 10% neutral buffered formalin for 24-48 hours

  • Antigen retrieval: Typically requires heat-induced epitope retrieval in citrate buffer (pH 6.0)

  • Blocking: Block with 5-10% normal serum from the same species as the secondary antibody

  • Primary antibody: Incubate at 4°C overnight (typically 1:100-1:200 dilution)

  • Detection system: Use polymer-based detection systems for enhanced sensitivity

  • Counterstaining: Use hematoxylin for nuclear visualization

Careful optimization is essential as MAP3K11 expression can vary significantly between tissue types and disease states.

How can researchers quantify MAP3K11 levels in patient-derived samples?

For quantitative analysis:

  • Western blot densitometry: Normalize MAP3K11 signal to loading controls

  • ELISA: Use sandwich ELISA for protein quantification in lysates

  • Mass spectrometry: For absolute quantification and post-translational modification analysis

  • Digital pathology: Employ image analysis software for IHC quantification

  • qPCR: Measure mRNA levels in conjunction with protein analysis

Research has successfully quantified MAP3K11 protein levels in various experimental systems, including a reduction to approximately 25% of normal levels in miR-125b-expressing cells .

What are the most informative controls for MAP3K11 antibody use in clinical specimens?

Essential controls include:

  • Positive tissue controls: Include tissues known to express MAP3K11 (e.g., lymphoid tissues)

  • Negative controls: Include primary antibody omission and isotype controls

  • Peptide competition: Pre-incubate antibody with immunizing peptide

  • Comparative analysis: Use multiple antibodies targeting different epitopes

  • Cell line controls: Include cell lines with known MAP3K11 expression levels

These controls are especially important when studying MAP3K11 in cancer specimens where expression may be altered by genetic or epigenetic mechanisms.

How can MAP3K11 antibodies be incorporated into single-cell analysis workflows?

For single-cell applications:

  • Single-cell Western blot: Detect MAP3K11 protein in individual cells

  • Mass cytometry (CyTOF): Incorporate metal-conjugated MAP3K11 antibodies in high-parameter panels

  • Imaging mass cytometry: Visualize MAP3K11 in tissue context with subcellular resolution

  • Proximity extension assays: Detect MAP3K11 protein with high sensitivity at single-cell level

These approaches are particularly valuable for heterogeneous samples such as tumor-infiltrating lymphocytes, where MAP3K11 expression may vary between cell populations.

What approaches can uncover MAP3K11's role in the tumor microenvironment?

For tumor microenvironment studies:

  • Multiplex immunofluorescence: Simultaneously detect MAP3K11 alongside immune cell markers

  • Spatial transcriptomics: Correlate MAP3K11 protein with gene expression signatures

  • Laser capture microdissection: Isolate specific regions for MAP3K11 analysis

  • Ex vivo tumor slice cultures: Manipulate MAP3K11 in preserved tumor architecture

Research has shown that inhibition of MAP3K11 increases tumor-infiltrating Granzyme B-positive CD8+ T cells in breast cancer models , highlighting the importance of studying MAP3K11 in the tumor-immune interface.

How should researchers approach MAP3K11 post-translational modification analysis?

For PTM studies:

  • Phospho-specific antibodies: Use antibodies that specifically recognize phosphorylated MAP3K11

  • PhosTag gels: Separate phosphorylated from non-phosphorylated MAP3K11

  • IP followed by MS/MS: Immunoprecipitate MAP3K11 and analyze by mass spectrometry

  • 2D gel electrophoresis: Separate MAP3K11 isoforms based on charge and mass

MAP3K11 has been shown to phosphorylate substrates like Ppia and NFATc1 , but comprehensive analysis of its own modification states remains an important research area.

What strategies can integrate MAP3K11 antibody-based detection with functional genomics?

For integrative approaches:

  • CRISPR screens + antibody detection: Analyze MAP3K11 levels following genetic perturbations

  • Pharmacological screens: Assess MAP3K11 expression/activity following compound treatments

  • Correlation with transcriptomics: Link MAP3K11 protein levels to gene expression signatures

  • Synthetic lethality studies: Identify contexts where MAP3K11 inhibition/loss is selectively lethal

The integration of MAP3K11 protein data with genomic and functional datasets can reveal context-specific roles in cancer and immunity.

What are common causes of weak or absent MAP3K11 signal in Western blots?

When troubleshooting weak signals:

  • Protein degradation: Ensure adequate protease inhibitors and proper sample handling

  • Insufficient extraction: Optimize lysis buffers for complete protein extraction

  • Epitope masking: Try denaturing conditions or alternative antibodies

  • Low expression: Increase protein loading or use enrichment methods

  • Transfer efficiency: Optimize transfer conditions for high molecular weight proteins

  • Antibody concentration: Titrate primary antibody to determine optimal concentration

MAP3K11 protein levels can vary significantly between cell types and conditions, with research showing substantial reduction in cells overexpressing miR-125b .

How can researchers address non-specific binding of MAP3K11 antibodies?

To minimize non-specific binding:

  • Blocking optimization: Test different blocking agents (BSA, milk, normal serum)

  • Antibody dilution: Optimize antibody concentration to minimize background

  • Washing stringency: Increase washing steps or detergent concentration

  • Secondary antibody controls: Include controls omitting primary antibody

  • Pre-absorption: Consider pre-absorbing antibodies with irrelevant proteins

The specificity of antibody-based detection is crucial when studying MAP3K11 due to the presence of related kinases in the MAP3K family.

What strategies address variability in MAP3K11 immunostaining patterns?

For consistent immunostaining:

  • Fixation standardization: Standardize fixation type, duration, and conditions

  • Antigen retrieval optimization: Test multiple retrieval methods and parameters

  • Antibody concentration: Perform titration to determine optimal concentration

  • Incubation conditions: Standardize temperature and duration of antibody incubation

  • Automated platforms: Consider automated staining platforms for consistency

Variability in staining can result from technical factors or biological variations in MAP3K11 expression and localization across different tissues and disease states.

How can researchers verify antibody specificity in complex tissue samples?

For specificity verification:

  • Peptide competition: Pre-incubate antibody with immunizing peptide

  • Genetic controls: When possible, include MAP3K11 knockout tissue

  • siRNA validation: Validate in cell lines with MAP3K11 knockdown

  • Multiple antibodies: Use antibodies recognizing different epitopes

  • Correlation with mRNA: Compare protein staining patterns with mRNA expression

Research has utilized MAP3K11 knockout models to validate antibody specificity, providing important validation controls .

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