UGT76C2 Antibody

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Description

Functional Role of UGT76C2 in Plant Biology

UGT76C2 (UDP-glucosyl transferase 76C2) catalyzes the N-glucosylation of cytokinins, converting active cytokinins into inactive or storage forms. Key findings include:

  • Cytokinin Homeostasis: UGT76C2 modulates cytokinin levels by glucosylating trans-zeatin, dihydrozeatin, and other cytokinins at N7 and N9 positions . Loss-of-function mutants (ugt76c2) show hypersensitivity to cytokinin, while overexpressors exhibit reduced sensitivity .

  • Stress Adaptation: UGT76C2 is induced by drought, ABA, and osmotic stress. Overexpression in rice enhances drought and salinity tolerance by improving root growth, ROS scavenging, and stress-responsive gene expression (e.g., OsDREB2A, OsSOS1) .

  • Developmental Regulation: UGT76C2 affects seed size and chlorophyll retention, with mutants producing smaller seeds and altered cytokinin-related gene expression (e.g., ARR1, CKX3) .

Applications of UGT76C2 Antibody in Research

The antibody is critical for:

  • Protein Localization: Detecting UGT76C2 expression patterns, which peak in seedlings and developing seeds .

  • Mutant Validation: Confirming knockout (ugt76c2) or overexpression lines via Western blot .

  • Mechanistic Studies: Linking cytokinin dynamics to phenotypes like root architecture or stress responses .

Table: UGT76C2-Related Studies and Outcomes

Study FocusMethodologyKey ResultsSource
Cytokinin HomeostasisKnockout/overexpression analysisReduced N-glucosides in mutants; altered cytokinin sensitivity
Drought ResponseqRT-PCR, stress assays in riceEnhanced root growth, upregulated OsDREB2A, and proline accumulation
Enzyme ActivityHPLC and LC-MS assaysHigher trans-zeatin-7/9-N-Glc production in overexpressors
Gene ExpressionTranscript profilingDownregulation under ABA; altered AHK2, ARR1 expression

Technical Considerations for UGT76C2 Antibody

  • Specificity: Validated in Arabidopsis and heterologous systems (e.g., transgenic rice) .

  • Cross-Reactivity: No reported cross-reactivity with other UGTs (e.g., UGT76C1) .

  • Experimental Use: Employed in immunoblots, enzyme activity assays, and tissue staining .

Implications for Agricultural Biotechnology

UGT76C2 overexpression in rice demonstrates its biotechnological potential:

  • Stress-Resilient Crops: Improved drought/salt tolerance via cytokinin reduction and root optimization .

  • Yield Modulation: Smaller seed size in mutants suggests a role in yield engineering .

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
UGT76C2 antibody; At5g05860 antibody; MJJ3.28 antibody; UDP-glycosyltransferase 76C2 antibody; EC 2.4.1.- antibody; Cytokinin-N-glucosyltransferase 2 antibody
Target Names
UGT76C2
Uniprot No.

Target Background

Function
UGT76C2 plays a critical role in the N-glucosylation of cytokinins. This enzyme catalyzes the formation of both the 7-N and the 9-N-glucosides.
Gene References Into Functions
  1. UGT76C2 expression was downregulated by drought, osmotic stress, and abscisic acid. Transgenic Arabidopsis lines ectopically expressing UGT76C2 exhibited reduced tolerance to ABA and osmotic stress during postgermination growth. PMID: 26025529
  2. UGT76C2 is involved in cytokinin homeostasis and cytokinin response in plants through cytokinin N-glucosylation. PMID: 22051886
Database Links

KEGG: ath:AT5G05860

STRING: 3702.AT5G05860.1

UniGene: At.25866

Protein Families
UDP-glycosyltransferase family

Q&A

What is UGT76C2 and what is its primary function in biological systems?

UGT76C2 belongs to the UDP-glucuronosyltransferase family, which catalyzes the transfer of glucuronic acid from UDP-glucuronic acid to various substrates, including xenobiotics and endogenous compounds. Based on research with related UGTs, these enzymes play crucial roles in detoxification processes and homeostasis of endogenous compounds. UGT76C2, like its family member UGT76B1, likely functions as a glycosyltransferase that catalyzes glucosylation of specific substrates in plant systems . In UGT76B1, this activity has been shown to influence immune signaling and basal pathogen defense by controlling levels of immune-active small molecules . UGT enzymes generally participate in the conjugation of potentially harmful lipophilic substances to form more hydrophilic glucuronides that can be more easily eliminated from the body .

How do researchers distinguish between UGT76C2 and other UGT family members?

Distinguishing UGT76C2 from other UGT family members requires careful attention to enzyme specificity and structural characteristics. Similar to how UGT76B1 is distinguished from other UGT enzymes, researchers should focus on substrate specificity profiles, sequence homology analysis, and tissue-specific expression patterns . For antibody-based differentiation, selecting epitopes unique to UGT76C2 is essential. When generating antibodies against UGT76C2, researchers should perform extensive cross-reactivity testing with other UGT isoforms, especially those with high sequence similarity. This typically involves immunoblotting against recombinant UGT proteins and tissue samples from knockout models to confirm specificity.

What are the common applications of UGT76C2 antibodies in research?

UGT76C2 antibodies serve numerous research applications, similar to antibodies against other UGT family members. These include:

  • Western blotting for protein expression analysis

  • Immunohistochemistry (IHC) and immunofluorescence for localization studies

  • Immunoprecipitation for protein interaction studies

  • ELISA for quantitative analysis

  • ChIP assays for studying regulatory mechanisms

Drawing from research on UGT1A4, which has been detected in human placenta, antibodies allow researchers to investigate tissue-specific expression patterns and their physiological significance . Similarly, studies on UGT76B1 have used antibody-based techniques to understand its role in plant immune signaling pathways .

What validation techniques should be employed to confirm UGT76C2 antibody specificity?

Rigorous validation of UGT76C2 antibodies is essential for reliable research outcomes. Recommended validation techniques include:

  • Positive and negative controls: Use tissues or cells known to express or lack UGT76C2

  • Peptide competition assays: Pre-incubate antibodies with the immunizing peptide to demonstrate binding specificity

  • Knockout/knockdown validation: Test antibodies in UGT76C2 knockout or knockdown models

  • Multiple antibody verification: Use antibodies targeting different epitopes of UGT76C2

  • Cross-reactivity testing: Test against other UGT family members

When studying UGTs, validation is particularly important due to the high sequence homology between family members. For example, in studies of UGT76B1, researchers needed to ensure antibodies didn't cross-react with related plant UGTs .

What are the optimal protocols for using UGT76C2 antibodies in Western blot applications?

Based on general protocols for UGT antibodies and specific considerations for the UGT family:

  • Sample preparation:

    • Extract proteins under non-denaturing conditions if possible

    • Include protease inhibitors to prevent degradation

    • For membrane-bound UGTs like those in the UGT family, use appropriate detergents for solubilization

  • Gel electrophoresis:

    • Use 8-12% SDS-PAGE gels

    • Load 20-40 μg of total protein per lane

  • Transfer and blocking:

    • Transfer to PVDF membranes at 100V for 1 hour or 30V overnight

    • Block with 5% non-fat dry milk or BSA in TBST

  • Antibody incubation:

    • Primary antibody: 1:500-1:2000 dilution, incubate overnight at 4°C

    • Secondary antibody: 1:5000-1:10000, incubate for 1 hour at room temperature

  • Detection and controls:

    • Include positive controls (tissue known to express UGT76C2)

    • Include negative controls (tissue known to lack UGT76C2)

    • Consider peptide competition controls

How can researchers troubleshoot non-specific binding issues with UGT76C2 antibodies?

Non-specific binding is a common challenge when working with antibodies against UGT family members due to their structural similarities. Troubleshooting approaches include:

  • Optimize blocking conditions:

    • Test different blocking agents (BSA, non-fat milk, casein)

    • Increase blocking time or concentration

  • Adjust antibody conditions:

    • Titrate antibody concentration

    • Test different incubation times and temperatures

    • Add detergents like Tween-20 to reduce non-specific interactions

  • Increase washing stringency:

    • Use higher salt concentration in wash buffers

    • Increase number and duration of washes

  • Pre-adsorb antibodies:

    • Incubate with tissues lacking UGT76C2 to remove cross-reactive antibodies

  • Consider alternative antibodies:

    • Test monoclonal instead of polyclonal antibodies for higher specificity

    • Try antibodies targeting different epitopes

How do post-translational modifications of UGT76C2 impact antibody recognition?

Post-translational modifications (PTMs) can significantly affect antibody recognition of UGT proteins. For UGT76C2, researchers should consider:

  • Phosphorylation: May alter protein conformation and epitope accessibility

  • Glycosylation: Can sterically hinder antibody binding to specific epitopes

  • Ubiquitination: May signal protein degradation and affect detection levels

When selecting or developing antibodies, researchers should determine whether they need antibodies that recognize specific PTM states or those that bind regardless of modification status. Drawing from studies on other UGT family members, the functional state of the enzyme may be influenced by PTMs, potentially affecting substrate specificity and catalytic activity . Researchers may need to use phospho-specific or other PTM-specific antibodies to distinguish between different functional states of UGT76C2.

What are the best experimental designs for studying UGT76C2 interactions with other proteins?

To effectively study UGT76C2 protein interactions, researchers should consider multiple complementary approaches:

  • Co-immunoprecipitation (Co-IP):

    • Use UGT76C2 antibodies to pull down protein complexes

    • Analyze co-precipitated proteins by mass spectrometry

    • Verify interactions with reciprocal Co-IP

  • Proximity labeling techniques:

    • BioID or APEX2 fusion proteins to identify proximal proteins

    • Particularly useful for membrane-associated proteins like UGTs

  • Yeast two-hybrid screening:

    • Identify potential interaction partners in a high-throughput manner

    • Validate with more physiologically relevant methods

  • Fluorescence resonance energy transfer (FRET):

    • Visualize protein interactions in living cells

    • Quantify interaction dynamics

  • Cross-linking mass spectrometry:

    • Identify interaction interfaces

    • Map structural relationships

As seen with UGT76B1 in plants, UGTs can interact with multiple substrates competitively, influencing signaling pathways . Therefore, studying both protein-protein and protein-substrate interactions is crucial for understanding UGT76C2's biological functions.

How can active learning approaches improve experimental design for UGT76C2 antibody characterization?

Active learning techniques can significantly enhance the efficiency of UGT76C2 antibody characterization by optimizing experimental design and resource allocation:

  • Iterative experimental design:

    • Begin with a small set of carefully selected experiments

    • Use results to inform subsequent experimental decisions

    • Prioritize experiments that will provide maximum information

  • Machine learning-guided epitope selection:

    • Use computational models to predict optimal epitopes for antibody generation

    • Iteratively improve predictions based on experimental outcomes

  • Bayesian optimization of assay conditions:

    • Systematically explore parameter space for optimal antibody performance

    • Efficiently identify ideal conditions for specificity and sensitivity

  • Sequential hypothesis testing:

    • Formulate competing hypotheses about antibody binding characteristics

    • Design experiments that can discriminate between hypotheses

As highlighted in recent research on antibody-antigen interactions, active learning approaches can "reduce the number of experiments needed to accurately predict" binding characteristics, which is "crucial for efficient therapeutic antibody development and immune research" .

How should researchers interpret contradictory results when using different UGT76C2 antibodies?

When faced with contradictory results from different UGT76C2 antibodies, researchers should systematically investigate potential causes:

  • Epitope differences:

    • Antibodies targeting different epitopes may give different results if:

      • The protein undergoes conformational changes

      • Certain epitopes are masked by protein-protein interactions

      • Post-translational modifications affect specific regions

  • Antibody quality and validation:

    • Assess the validation history of each antibody

    • Consider lot-to-lot variability

    • Evaluate specificity using knockout controls

  • Experimental conditions:

    • Different fixation methods may affect epitope accessibility

    • Buffer conditions may influence antibody performance

    • Sample preparation methods may expose different epitopes

  • Isotype and format differences:

    • Compare monoclonal vs. polyclonal antibodies

    • Consider differences between full IgG, Fab fragments, or other formats

  • Resolution through independent methods:

    • Use non-antibody-based methods to resolve contradictions

    • Consider mass spectrometry, RNA-seq, or functional assays

Research on other UGT enzymes has shown that they can exist in multiple functional states and cellular compartments , which may contribute to apparently contradictory antibody results.

What statistical approaches are recommended for analyzing UGT76C2 antibody binding data?

Robust statistical analysis is essential for interpreting UGT76C2 antibody binding data:

Statistical MethodApplicationAdvantagesLimitations
Student's t-testComparing two experimental conditionsSimple, well-establishedLimited to two groups, assumes normal distribution
ANOVA with post-hoc testsComparing multiple experimental conditionsHandles multiple comparisonsRequires assumptions of normality and equal variance
Non-parametric tests (Mann-Whitney, Kruskal-Wallis)Data not normally distributedNo assumption of normal distributionLess statistical power than parametric tests
Linear regressionDose-response relationshipsQuantifies relationship strengthAssumes linear relationship
Bayesian analysisComplex experimental designs with prior knowledgeIncorporates prior information, handles uncertaintyComputationally intensive, requires prior specification

Regardless of the method chosen, researchers should:

  • Perform power analysis to determine appropriate sample sizes

  • Include biological replicates (not just technical replicates)

  • Report effect sizes, not just p-values

  • Consider multiple hypothesis testing corrections

  • Share raw data and analysis code for reproducibility

For antibody binding studies similar to those examining UGT enzyme interactions with multiple substrates , competitive binding models with appropriate statistical frameworks should be employed.

How can CRISPR/Cas9 gene editing enhance UGT76C2 antibody validation and characterization?

CRISPR/Cas9 gene editing provides powerful tools for UGT76C2 antibody validation and characterization:

  • Knockout validation:

    • Generate UGT76C2 knockout cell lines or organisms

    • Use these as definitive negative controls for antibody validation

    • Compare antibody signals in wild-type vs. knockout samples

  • Epitope tagging:

    • Insert tags (HA, FLAG, etc.) into the endogenous UGT76C2 locus

    • Use well-characterized tag antibodies as reference points

    • Compare signals from UGT76C2 antibodies with tag antibodies

  • Domain mutations:

    • Systematically mutate different domains to map epitopes

    • Determine which regions are essential for antibody recognition

    • Create domain-specific antibody validation panels

  • Isoform-specific validation:

    • Selectively edit specific UGT76C2 isoforms

    • Determine antibody specificity for different isoforms

    • Create isoform-specific knockout lines for validation

  • Humanized models:

    • Similar to humanized UGT1 mice described in the literature , create models expressing human UGT76C2

    • Use these for validating antibodies intended for human studies

CRISPR-based approaches provide definitive validation tools that overcome many limitations of traditional antibody validation methods, offering greater certainty in research findings.

What role might UGT76C2 play in xenobiotic metabolism, and how can antibodies help elucidate this function?

Based on the functions of related UGT enzymes, UGT76C2 likely plays important roles in xenobiotic metabolism. Antibodies can help elucidate these functions through:

  • Tissue and cellular localization studies:

    • Determine where UGT76C2 is expressed using immunohistochemistry

    • Identify subcellular localization using immunofluorescence

    • Compare with other UGT family members to identify unique expression patterns

  • Induction studies:

    • Monitor changes in UGT76C2 expression in response to xenobiotics

    • Similar to how microsomal enzyme inducers (MEI) affect other UGTs

    • Use antibodies to quantify expression changes in different tissues

  • Functional inhibition:

    • Use function-blocking antibodies to inhibit UGT76C2 activity

    • Assess the impact on xenobiotic metabolism

    • Identify specific substrates affected by inhibition

  • Correlation with toxicity:

    • Examine UGT76C2 expression in relation to xenobiotic-induced toxicity

    • Similar to studies showing relationships between UGT activity and drug-induced liver toxicity

    • Use antibodies to monitor expression changes during toxicity

UGT enzymes are known to play critical roles in detoxification at biological barriers, including the blood-brain barrier . Understanding UGT76C2's specific role in these processes could provide insights into drug metabolism and toxicity.

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