MKRN Antibody

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Description

Definition and Biological Context

MKRN antibodies target members of the Makorin RING finger protein (MKRN) family, which includes MKRN1, MKRN2, MKRN3, and MKRN4. These proteins are characterized by zinc finger domains and RING finger motifs, enabling roles in ubiquitination, RNA metabolism, and transcriptional regulation . MKRN1, the most extensively studied, functions as an E3 ubiquitin ligase and ribonucleoprotein (RNP) component, influencing apoptosis, stress responses, and stem cell pluripotency .

Key Domains

ProteinZinc Finger Domains (C3H)RING DomainRNA-Binding MotifsKey Functions
MKRN14C3HC4YesmRNA stability, ubiquitination, apoptosis regulation
MKRN24C3HC4YesTranscriptional regulation, spermatogenesis
MKRN33C3HC4NoPuberty regulation, tumor suppression
MKRN44C3HC4YesImmune regulation, antiviral activity

Data compiled from .

MKRN1 uniquely associates with stress granule components under genotoxic stress, binding mRNAs encoding apoptosis-related proteins (e.g., FADD, p21) and secretory pathway proteins . Its RING domain facilitates ubiquitination of substrates like adenomatous polyposis coli (APC) and viral capsid proteins, impacting Wnt signaling and pathogen resistance .

Molecular Interactions

  • MKRN1 in mRNA Metabolism:

    • Binds RNA-binding proteins (HuR, IGF2BP1) and mRNAs localized to the endoplasmic reticulum (ER), suggesting roles in translational control .

    • UV crosslinking experiments confirm direct RNA-binding activity, particularly to low-abundance transcripts involved in differentiation or apoptosis .

  • Ubiquitination Targets:

    SubstrateBiological EffectDisease Relevance
    APCEnhances Wnt/β-catenin signalingColorectal cancer
    FADDInhibits death receptor apoptosisCervical cancer
    PCV2 CapPromotes viral protein degradationAntiviral defense
    p21Reduces ROS-induced apoptosisCardiovascular disease

    Sources: .

Disease Associations

  • Cancer: MKRN1 overexpression correlates with tumor progression via APC degradation and Wnt pathway activation .

  • Neurodegeneration: MKRN2 regulates synaptic plasticity and is implicated in neuroblastoma .

  • Infections: MKRN1 ubiquitinates viral proteins (e.g., West Nile virus capsid), limiting viral replication .

Antibody Engineering Strategies

  • Recombinant Antibodies: Platforms like NeuroMab and NABOR use IgG subclass switching (e.g., IgG1 to IgG2a) to optimize effector functions .

  • Validation Protocols:

    • KO cell lines: Essential for confirming specificity in Western blot and immunofluorescence .

    • ELISA + Immunohistochemistry: Dual screening improves predictive accuracy for in vivo applications .

Clinical Relevance

ApplicationTargetMechanismStatus
Cancer immunotherapyMKRN1Block APC degradationPreclinical
Antiviral therapyMKRN1/4Enhance viral protein turnoverExperimental
NeurodegenerationMKRN2Modulate synaptic protein levelsResearch

Data from .

Challenges in MKRN Antibody Development

  • Specificity Issues: Cross-reactivity with homologous zinc finger proteins (e.g., MKRN2 vs. MKRN1) .

  • Structural Complexity: Multi-domain architecture complicates epitope targeting .

  • Validation Gaps: Only ~50% of commercial antibodies pass KO-based validation, risking reproducibility .

Product Specs

Buffer
Preservative: 0.03% Proclin 300
Constituents: 50% Glycerol, 0.01M Phosphate Buffered Saline (PBS), pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
MKRN antibody; Os06g0318700 antibody; LOC_Os06g21390 antibody; OsJ_21146 antibody; P0468A12.33 antibody; P0592B08.7 antibody; E3 ubiquitin-protein ligase makorin antibody; EC 2.3.2.27 antibody; RING-type E3 ubiquitin transferase makorin antibody; Zinc finger CCCH domain-containing protein 41 antibody; OsC3H41 antibody
Target Names
MKRN
Uniprot No.

Target Background

Function
E3 ubiquitin ligase catalyzes the covalent attachment of ubiquitin moieties onto substrate proteins.
Database Links
Tissue Specificity
Expressed in primary roots and leaves. Detected in vascular bundle tissues.

Q&A

What is MKRN3 and what are its alternative nomenclatures in scientific literature?

MKRN3 encodes the makorin ring finger protein 3 in humans and belongs to the MKRN family of proteins. The protein is also known by several alternative names including CPPB2, D15S9, RNF63, ZFP127, probable E3 ubiquitin-protein ligase makorin-3, and RING finger protein 63. Structurally, the protein has a reported molecular mass of approximately 55.6 kilodaltons . Understanding these alternative nomenclatures is essential when conducting comprehensive literature searches and database analyses for MKRN3-related research.

When designing experiments involving MKRN3 antibodies, it's important to recognize that this protein belongs to a family of RING finger proteins with potential E3 ubiquitin ligase activity. The structural features of MKRN3, including its zinc finger domains, influence epitope accessibility and may affect antibody binding characteristics in different experimental conditions.

What experimental applications are supported by commercially available MKRN3 antibodies?

MKRN3 antibodies support multiple experimental applications critical for different research objectives. Based on available product information, these applications include:

  • Western Blotting (WB): For detecting and quantifying MKRN3 protein in cell or tissue lysates

  • Enzyme-Linked Immunosorbent Assay (ELISA): For quantitative detection of MKRN3 in solution

  • Immunofluorescence (IF): For visualizing subcellular localization of MKRN3

  • Immunohistochemistry (IHC): For detecting MKRN3 in tissue sections

The specific methodological approach varies depending on the application. For Western blotting, researchers typically use denaturing conditions with SDS-PAGE to separate proteins by molecular weight before antibody detection. For immunofluorescence, both fixed and permeabilized cells can be used, with optimization required for each specific antibody to balance signal intensity with background reduction.

What species cross-reactivity should be considered when selecting MKRN antibodies?

When designing experiments involving multiple model organisms, species cross-reactivity becomes a critical consideration. Commercial MKRN3 antibodies are available with reactivity to various species including:

SpeciesAbbreviationCommon MKRN3 Antibody Availability
HumanHuHigh
MouseMsHigh
RatRtModerate
RabbitRbLimited
Guinea PigGPLimited
PigPgLimited

Based on gene homology, orthologs of MKRN3 can be found in canine, porcine, monkey, mouse, and rat species . The degree of epitope conservation across species determines cross-reactivity. When designing cross-species studies, validation in each target species is necessary even when cross-reactivity is claimed by manufacturers.

How should researchers approach MKRN antibody selection for specific experimental applications?

Selecting the appropriate MKRN antibody requires a systematic evaluation of several technical parameters:

  • Application compatibility: Verify that the antibody has been validated for your intended application (WB, ELISA, IF, IHC)

  • Epitope location: Consider whether the antibody targets a specific region (e.g., N-terminal, middle region, C-terminal) and how this might affect detection of splice variants or post-translationally modified proteins

  • Antibody format: Determine whether a monoclonal (higher specificity) or polyclonal (potentially higher sensitivity) antibody is more suitable for your application

  • Validation data: Evaluate the quality and comprehensiveness of validation data provided by the manufacturer

  • Literature citations: Assess if the antibody has been successfully used in published research similar to your application

The selection process should involve critical evaluation of antibody characteristics in relation to the specific research question. For example, when studying protein-protein interactions, an antibody targeting an interaction domain might interfere with complex formation .

What rigorous validation strategies ensure MKRN antibody specificity and reliability?

Antibody validation is essential for ensuring experimental reproducibility and reliable data interpretation. For MKRN antibodies, implement these validation strategies:

  • Knockout/knockdown validation:

    • Test antibody in MKRN knockout or knockdown models

    • A specific antibody should show significantly reduced or absent signal

  • Orthogonal target validation:

    • Compare protein detection with detection of corresponding mRNA

    • Correlate protein levels detected by antibody with mRNA expression data

  • Independent antibody validation:

    • Use multiple antibodies targeting different epitopes of the same MKRN protein

    • Consistent results with different antibodies increase confidence in specificity

  • Recombinant expression validation:

    • Test antibody against recombinant MKRN protein

    • Establish detection limits and linear range of detection

  • Mass spectrometry validation:

    • Perform immunoprecipitation followed by mass spectrometry

    • Confirm that the pulled-down protein is indeed the intended MKRN protein

Validation should be application-specific, as an antibody that works well in Western blotting may not necessarily perform well in immunohistochemistry .

What methodological approaches determine optimal MKRN antibody concentrations for different assays?

Determining optimal antibody concentration requires systematic titration experiments tailored to each application:

  • Western blotting optimization:

    • Prepare a dilution series (e.g., 1:500, 1:1000, 1:2000, 1:5000)

    • Process identical samples with each dilution

    • Quantify signal-to-noise ratio for each concentration

    • Select concentration with highest specific signal and lowest background

  • Immunofluorescence titration:

    • Test dilution series starting at manufacturer's recommendation

    • Evaluate both signal intensity and background at each concentration

    • Consider cell type-specific adjustments, as some cells have higher autofluorescence

  • ELISA optimization:

    • Perform checkerboard titration with coating antigen at different concentrations

    • Test primary and secondary antibody concentration matrices

    • Generate standard curves at each antibody concentration

    • Select concentration providing best sensitivity and widest dynamic range

The empirical determination of optimal concentration should be documented in laboratory protocols to ensure reproducibility across experiments and between researchers .

What specialized protocol modifications improve Western blot detection of MKRN proteins?

Western blot detection of MKRN proteins can be optimized with these methodological refinements:

  • Sample preparation considerations:

    • Include deubiquitinase inhibitors if studying ubiquitin ligase activity

    • Use phosphatase inhibitors to preserve phosphorylation states

    • Extract in denaturing conditions (8M urea) to fully solubilize MKRN proteins

  • Technical optimization steps:

    • Transfer longer for high molecular weight proteins (>100 kDa)

    • Use PVDF membranes for stronger protein binding

    • Consider 8-10% gels for optimal resolution of the 55.6 kDa MKRN3 protein

    • Add 0.05% SDS to transfer buffer to enhance transfer of hydrophobic domains

  • Signal enhancement approaches:

    • Increase antibody binding with overnight incubation at 4°C

    • Use signal amplification systems for low abundance detection

    • Optimize blocking conditions (BSA vs. milk) based on background patterns

  • Expected molecular weight considerations:

    • MKRN3 should appear at approximately 55.6 kDa

    • Higher molecular weight bands may indicate ubiquitinated forms

    • Lower molecular weight bands may represent degradation products or splice variants

These specialized modifications should be systematically tested and incorporated based on empirical results rather than adopted wholesale without validation in your specific experimental system.

What are the critical parameters for optimizing immunofluorescence detection of MKRN proteins?

Immunofluorescence optimization for MKRN proteins requires careful attention to several parameters:

  • Fixation method comparison:

    • Test 4% paraformaldehyde (preserves protein structure)

    • Compare with methanol fixation (better nuclear protein detection)

    • Evaluate fixation time (10-30 minutes) on signal quality

  • Permeabilization optimization:

    • Titrate Triton X-100 (0.1-0.5%) or Saponin (0.1-0.3%)

    • Balance membrane permeabilization against epitope preservation

    • Consider sequential permeabilization for difficult-to-access nuclear proteins

  • Signal amplification strategies:

    • Implement tyramide signal amplification for low abundance proteins

    • Consider biotin-streptavidin systems for enhanced detection

    • Extend primary antibody incubation to overnight at 4°C

  • Background reduction techniques:

    • Use filtered antibody solutions to remove aggregates

    • Pre-absorb antibodies with cell/tissue lysates

    • Implement image acquisition settings to optimize signal-to-noise ratio

  • Controls implementation:

    • Include peptide competition controls

    • Use MKRN knockdown cells as negative controls

    • Apply secondary antibody-only controls to assess non-specific binding

These parameters should be systematically optimized with careful documentation to establish reproducible protocols for specific cell types and experimental conditions.

How can researchers develop quantitative ELISA protocols for MKRN protein detection?

Developing a quantitative ELISA for MKRN proteins requires methodological precision at multiple steps:

  • Antibody pair qualification:

    • Test multiple capture and detection antibody combinations

    • Select pairs recognizing non-overlapping epitopes

    • Validate using recombinant MKRN proteins and native samples

  • Assay format determination:

    • Direct ELISA: Coat plate with sample, detect with anti-MKRN antibody

    • Sandwich ELISA: Coat with capture antibody, add sample, detect with second antibody

    • Competition ELISA: Pre-incubate sample with detector antibody, measure unbound antibody

  • Standard curve development:

    • Use purified recombinant MKRN protein for absolute quantification

    • Prepare standards in the same buffer as samples

    • Establish 8-point standard curve with 2-fold serial dilutions

    • Include blank and zero standard controls

  • Performance characteristics determination:

    • Calculate detection limit (blank + 3SD)

    • Determine assay range (linear portion of standard curve)

    • Assess precision (intra and inter-assay CV <15%)

    • Validate accuracy (spike recovery 80-120%)

    • Test specificity (cross-reactivity with related proteins <5%)

  • Sample matrix considerations:

    • Optimize sample dilutions to minimize matrix effects

    • Establish parallelism between standards and samples

    • Validate consistent recovery across different sample types

The development process should be iterative, with systematic troubleshooting of each parameter to achieve reliable quantification of MKRN proteins in experimental samples .

How can researchers design experiments to characterize the E3 ubiquitin ligase activity of MKRN proteins?

MKRN3 is described as a probable E3 ubiquitin-protein ligase . Investigating this activity requires sophisticated experimental approaches:

  • In vitro ubiquitination assay design:

    • Immunoprecipitate MKRN using validated antibodies

    • Add purified E1, appropriate E2 enzymes, tagged ubiquitin, and ATP

    • Incubate with potential substrates

    • Detect ubiquitination via Western blot with anti-ubiquitin or anti-tag antibodies

    • Include controls lacking individual components to validate specificity

  • Substrate identification methodology:

    • Perform tandem affinity purification with tagged MKRN

    • Use stable isotope labeling with amino acids in cell culture (SILAC)

    • Compare ubiquitinated proteome in MKRN overexpression versus knockdown

    • Validate candidates with in vitro ubiquitination assays

    • Confirm with cycloheximide chase experiments to assess protein stability

  • Domain function analysis:

    • Generate MKRN mutants lacking key domains (RING finger, zinc fingers)

    • Compare ubiquitination activity between wild-type and mutant proteins

    • Determine domains required for substrate binding versus catalytic activity

    • Map critical residues for ubiquitin transfer

  • Ubiquitin chain architecture determination:

    • Use linkage-specific antibodies to identify ubiquitin chain types (K48, K63, etc.)

    • Employ mass spectrometry to map ubiquitination sites on substrates

    • Correlate chain type with substrate fate (degradation vs. signaling)

These experimental approaches combine MKRN antibodies with established techniques in ubiquitin research to elucidate the E3 ligase function and substrate specificity of MKRN proteins .

What methodological approaches can identify and validate MKRN protein interaction partners?

Investigating MKRN protein interactions requires multiple complementary approaches:

  • Immunoprecipitation-mass spectrometry (IP-MS):

    • Optimize lysis conditions to preserve protein complexes

    • Use validated MKRN antibodies for native IP or tag-based approaches

    • Implement SILAC or TMT labeling for quantitative comparison

    • Filter results against CRAPome database to eliminate common contaminants

    • Validate top candidates with reciprocal IP and co-localization studies

  • Proximity-dependent labeling techniques:

    • Generate BioID or TurboID fusions with MKRN proteins

    • Identify proteins in proximity to MKRN through biotinylation

    • Compare results with IP-MS to identify high-confidence interactors

    • Validate with traditional co-IP using MKRN antibodies

  • Protein complementation assays:

    • Design split luciferase or fluorescent protein fusions with MKRN

    • Test interaction with candidate partners in living cells

    • Compare signal intensities to quantify relative interaction strengths

    • Use mutant controls to confirm specificity

  • Domain mapping experiments:

    • Create domain deletion series of MKRN proteins

    • Identify domains required for specific protein interactions

    • Design blocking peptides targeting interaction interfaces

    • Use competition assays to confirm interaction specificity

  • Dynamic interaction analysis:

    • Study interaction changes upon cellular stimulation

    • Analyze post-translational modification effects on interactions

    • Perform time-course experiments to identify transient interactions

These methods provide complementary data about MKRN protein interactions, from discovery to validation and characterization of interaction dynamics .

How can researchers distinguish between MKRN family members in experimental systems?

Distinguishing between MKRN family members requires careful experimental design:

  • Antibody specificity validation:

    • Test antibodies against all recombinant MKRN family proteins

    • Perform peptide competition with unique and shared peptide sequences

    • Validate in knockout/knockdown models of each family member

    • Identify antibodies recognizing unique epitopes for each MKRN protein

  • Comparative protein analysis:

    • Create a table of distinctive features of each MKRN family member:

    PropertyMKRN1MKRN2MKRN3Detection Method
    Molecular Weight~50 kDa~50-55 kDa55.6 kDaWestern blot
    Subcellular LocalizationPrimarily cytoplasmicNuclear/cytoplasmicVariableImmunofluorescence
    Tissue ExpressionWidespreadTissue-specificRestrictedqPCR, tissue IHC
    Post-translational ModificationsMultiple phosphorylation sitesFewer modificationsUnique glycosylationSpecialized antibodies
  • RNA-level discrimination:

    • Design RT-qPCR assays targeting unique regions of each mRNA

    • Correlate mRNA expression with protein levels detected by antibodies

    • Employ RNA-FISH with isoform-specific probes for spatial analysis

  • CRISPR-based approaches:

    • Generate knockouts of individual MKRN family members

    • Create epitope-tagged knockins at endogenous loci

    • Use for definitive identification of antibody specificity

  • Functional discrimination:

    • Characterize distinct functions of each family member

    • Develop assays measuring specific activities

    • Use as functional validation of antibody specificity

These approaches help ensure reliable discrimination between closely related MKRN family members, which is essential for accurate interpretation of experimental results .

What systematic troubleshooting approaches resolve common technical issues with MKRN antibodies?

When encountering problems with MKRN antibodies, implement this systematic troubleshooting framework:

  • Signal intensity problems in Western blot:

    • Issue: Weak or absent signal

    • Diagnostic approach: Run positive control dilution series

    • Resolution strategies:

      • Increase protein loading (10-50 μg)

      • Reduce transfer time for small proteins

      • Switch membrane type (PVDF for hydrophobic proteins)

      • Try alternative antibody concentrations

      • Implement enhanced chemiluminescence detection

  • Background issues in immunostaining:

    • Issue: High non-specific background

    • Diagnostic approach: Run secondary-only controls on different sample types

    • Resolution strategies:

      • Extend blocking time (overnight at 4°C)

      • Try alternative blocking agents (5% BSA, 10% normal serum)

      • Pre-absorb antibody with tissue/cell powder

      • Increase washing stringency (0.1% Tween-20, 6x10 minutes)

      • Filter antibody solutions before use

  • Inconsistent immunoprecipitation results:

    • Issue: Variable pull-down efficiency

    • Diagnostic approach: Analyze supernatant after IP for target depletion

    • Resolution strategies:

      • Optimize lysis buffer composition

      • Increase antibody amount (2-5 μg per reaction)

      • Extend incubation time (overnight at 4°C)

      • Pre-clear lysates with Protein A/G

      • Cross-link antibody to beads to prevent co-elution

  • Specificity concerns:

    • Issue: Multiple bands or unexpected pattern

    • Diagnostic approach: Compare with knockout control and recombinant protein

    • Resolution strategies:

      • Perform peptide competition assay

      • Test multiple antibodies targeting different epitopes

      • Run gradient gels for better resolution

      • Analyze samples from MKRN overexpression systems

This systematic approach to troubleshooting ensures efficient resolution of technical issues while documenting solutions for future reference .

How should researchers interpret complex or contradictory data patterns from MKRN antibody experiments?

Interpreting complex data patterns requires rigorous analytical approaches:

  • Multi-band Western blot interpretation:

    • Analyze band patterns in relation to predicted molecular weight

    • Consider post-translational modifications:

      • Ubiquitination (+8.5 kDa per ubiquitin)

      • Phosphorylation (+80 Da per phosphate)

      • Glycosylation (variable increase)

    • Evaluate potential proteolytic fragments

    • Compare with literature-reported band patterns

    • Validate key bands with additional techniques

  • Subcellular localization contradictions:

    • Compare fixation methods (paraformaldehyde vs. methanol)

    • Evaluate cell type-specific differences

    • Consider cell cycle dependence of localization

    • Assess influence of experimental conditions

    • Validate with complementary approaches (fractionation, proximity labeling)

  • Expression level discrepancies:

    • Compare protein detection with mRNA levels

    • Evaluate post-transcriptional regulation

    • Consider protein stability differences

    • Assess technical variables (antibody affinity, detection method)

    • Validate with orthogonal quantification methods

  • Integration of conflicting data:

    • Create a systematic decision matrix for data evaluation

    • Weight evidence based on methodological rigor

    • Consider biological context and experimental conditions

    • Formulate testable hypotheses to resolve contradictions

    • Design definitive experiments to address key discrepancies

This analytical framework helps distinguish between technical artifacts and genuine biological complexity when interpreting MKRN antibody data .

What comprehensive control strategy ensures valid interpretation of MKRN antibody experiments?

A rigorous control strategy is essential for valid interpretation of MKRN antibody experiments:

  • Technical validation controls:

    • Loading controls for Western blotting (GAPDH, β-actin, total protein stain)

    • Secondary antibody-only controls for immunostaining

    • Isotype controls matching primary antibody species and class

    • Quantification controls (standard curves, calibrators)

  • Biological specificity controls:

    • Genetic controls:

      • CRISPR knockout cell lines

      • siRNA/shRNA knockdown samples

      • Overexpression systems with tagged proteins

    • Biochemical controls:

      • Peptide competition/blocking

      • Recombinant protein standards

      • Purified protein as positive controls

  • Experimental design controls:

    • Biological replicates (different samples/animals)

    • Technical replicates (multiple measurements of same sample)

    • Time course controls (temporal dynamics)

    • Dose-response controls (concentration dependence)

    • Vehicle controls for treatments

  • Cross-validation controls:

    • Multiple antibodies targeting different epitopes

    • Orthogonal detection methods (fluorescence, enzymatic)

    • Complementary techniques (RT-qPCR, mass spectrometry)

    • Independent experimental approaches

  • Documentation controls:

    • Detailed protocol recording

    • Raw data preservation

    • Complete reporting of all controls

    • Transparent disclosure of limitations

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