At5g44480 Antibody

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Description

Molecular Characterization of At5g44480

At5g44480 encodes a NAD(P)-binding Rossmann-fold superfamily protein with UDP-glucose epimerase (UGE) activity. Key features include:

FeatureDescription
Gene IdentifierAT5G44480 (TAIR)
Protein ClassUDP-glucose 4-epimerase (putative)
Mutant PhenotypeAltered lateral root development in dur mutants
Subcellular LocalizationLikely Golgi apparatus (inferred from homologous UGEs in Arabidopsis)

Functional Role in Plant Systems

At5g44480 is implicated in:

  • Cell wall polysaccharide biosynthesis: Homologs like MUR4 (At2g27820) and GAEs (e.g., GAE1-6) catalyze UDP-sugar interconversions critical for arabinogalactan and pectin synthesis .

  • Root development: Mutations in dur disrupt lateral root formation, suggesting UDP-glucose metabolism influences root architecture .

Antibody-Based Detection Strategies

Though no direct reports of At5g44480-specific antibodies exist, analogous studies on related enzymes provide methodological insights:

Epitope Tagging

  • GFP/myc fusions: Localization studies for UGEs (e.g., MUR4-GFP) rely on epitope tags detected via anti-GFP/myc antibodies .

  • Immunoblotting: SDS-PAGE and western blotting using tag-specific antibodies (e.g., anti-myc) confirm recombinant protein expression .

Homology-Based Antibody Design

Sequence alignment reveals conserved regions across UDP-sugar epimerases:

ProteinIdentity to At5g44480Functional Domain
MUR4 (At2g27820)~30%Rossmann-fold NAD(P)-binding domain
GAE1 (At4g30440)~25%UDP-GlcUA 4-epimerase catalytic site

Antibodies targeting these conserved motifs could cross-react with At5g44480, enabling indirect detection.

Research Applications and Gaps

  • Genetic studies: dur mutants highlight the gene’s role in root development but lack biochemical validation of enzyme activity .

  • Antibody development: No commercial or literature-reported antibodies exist, necessitating custom production using peptide antigens from variable regions (e.g., CDR-like loops in Rossmann-fold domains) .

Future Directions

  • Structural profiling: Computational tools (e.g., Rosetta Antibody) could model At5g44480’s paratope for antibody design .

  • Functional assays: Epitope-tagged At5g44480 lines would enable cell-specific localization studies using existing tag antibodies .

Product Specs

Buffer
Preservative: 0.03% Proclin 300
Composition: 50% Glycerol, 0.01M Phosphate Buffered Saline (PBS), pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
At5g44480 antibody; MFC16.15Putative UDP-arabinose 4-epimerase 4 antibody; EC 5.1.3.5 antibody; UDP-D-xylose 4-epimerase 4 antibody
Target Names
At5g44480
Uniprot No.

Target Background

Database Links

KEGG: ath:AT5G44480

STRING: 3702.AT5G44480.1

UniGene: At.55356

Protein Families
NAD(P)-dependent epimerase/dehydratase family
Subcellular Location
Golgi apparatus, Golgi stack membrane; Single-pass type II membrane protein.

Q&A

What is At5g44480 and why is it studied?

At5g44480 refers to a specific gene locus in Arabidopsis thaliana (Mouse-ear cress), a widely used model organism in plant biology. This gene encodes a protein that is the target of the antibody discussed in this FAQ. Understanding the expression, localization, and function of this protein contributes to our knowledge of plant molecular biology and physiology. Researchers study At5g44480 to investigate various aspects of plant development, stress responses, or specific cellular pathways, depending on the protein's function. Antibodies against this protein allow for its detection, quantification, and localization within plant tissues or cells .

What applications is the At5g44480 antibody validated for?

The At5g44480 antibody has been validated for Enzyme-Linked Immunosorbent Assay (ELISA) and Western Blot (WB) applications. These techniques allow researchers to detect and quantify the target protein in various experimental contexts. ELISA provides quantitative data about protein abundance in solution, while Western Blot enables visualization of the protein's molecular weight and relative abundance in complex mixtures. Both applications ensure proper identification of the antigen of interest . When designing experiments, researchers should consider these validated applications and avoid assuming functionality in non-validated applications without proper controls.

How should the At5g44480 antibody be stored to maintain its efficacy?

Proper storage is crucial for maintaining antibody functionality. Upon receipt, the At5g44480 antibody should be stored at -20°C or -80°C to ensure long-term stability. Repeated freeze-thaw cycles can significantly damage antibody structure and functionality, so it's recommended to prepare small aliquots before freezing. The antibody is supplied in a storage buffer containing 50% glycerol, 0.01M PBS (pH 7.4), and 0.03% Proclin 300 as a preservative. This formulation helps maintain antibody stability during storage . When planning long-term experiments, researchers should consider the impact of storage conditions on antibody performance and include appropriate controls to verify antibody activity.

What is the species reactivity of the At5g44480 antibody?

The At5g44480 antibody has been specifically designed to react with Arabidopsis thaliana proteins. This specificity is important when designing experiments, as the antibody may not recognize homologous proteins from other plant species, even those closely related to Arabidopsis . When studying conserved proteins across multiple plant species, researchers should first validate cross-reactivity experimentally rather than assuming recognition based on sequence similarity. Negative controls using tissues from other plant species can help confirm specificity.

How can I validate the specificity of the At5g44480 antibody in my experimental system?

Antibody validation is critical for ensuring reliable experimental results. To validate the At5g44480 antibody's specificity, implement a multi-pronged approach:

  • Knockout/knockdown controls: Compare antibody signal between wild-type Arabidopsis and plants with reduced or eliminated expression of At5g44480 (using T-DNA insertion lines, CRISPR-Cas9 editing, or RNAi approaches).

  • Recombinant protein control: Use purified recombinant At5g44480 protein as a positive control.

  • Peptide competition assay: Pre-incubate the antibody with excess immunizing peptide before application to your samples. Specific binding should be significantly reduced, as demonstrated in similar approaches with other antibodies .

  • Orthogonal detection methods: Compare protein expression patterns using independent methods like mass spectrometry or RNA expression analysis.

  • Molecular weight verification: Confirm that the detected protein band appears at the expected molecular weight.

What are potential cross-reactivity concerns with the At5g44480 antibody?

Cross-reactivity is a significant concern when working with antibodies. Although the At5g44480 antibody has been affinity-purified to improve specificity, researchers should be aware of potential cross-reactivity with proteins that share similar epitope structures . As demonstrated in studies with other antibodies, cross-reactivity can occur with proteins of similar size, complicating data interpretation .

To address this concern:

  • Always include appropriate negative controls (non-expressing tissues or knockout lines).

  • Consider performing immunoprecipitation followed by mass spectrometry to identify all proteins recognized by the antibody.

  • If using the antibody in a new context or with different experimental conditions, revalidate specificity.

  • Be particularly cautious when analyzing proteins of similar molecular weight to At5g44480, as they might represent cross-reactive species rather than isoforms or post-translationally modified versions of the target protein .

Understanding that cross-reactivity often results from conformational homology of epitope regions can help in troubleshooting specificity issues .

How can I optimize the At5g44480 antibody for detecting low-abundance proteins in plant tissues?

Detecting low-abundance proteins requires optimization strategies:

  • Sample preparation enhancement:

    • Use phosphatase and protease inhibitors during extraction

    • Enrich the target protein through subcellular fractionation

    • Consider using plant-specific extraction buffers optimized for Arabidopsis

  • Signal amplification methods:

    • For Western blotting, use high-sensitivity chemiluminescent substrates

    • For immunohistochemistry, employ tyramide signal amplification

    • Consider biotin-streptavidin amplification systems

  • Detection optimization:

    • Increase antibody concentration (titrate to determine optimal concentration)

    • Extend primary antibody incubation time (overnight at 4°C)

    • Optimize blocking conditions to reduce background while preserving specific signal

  • Extraction optimization table:

Tissue TypeRecommended BufferSuggested DetergentSpecial Considerations
Leaf50mM Tris-HCl pH 7.5, 150mM NaCl0.5% Triton X-100Add 5% PVPP for phenolic compounds
Root50mM HEPES pH 7.5, 100mM NaCl1% NP-40Extensive washing to remove soil contaminants
Seedlings50mM Tris-HCl pH 8.0, 150mM NaCl0.1% SDS + 0.5% sodium deoxycholateConsider gentle sonication
Flowers25mM MES pH 6.5, 150mM NaCl0.5% DigitoninAdd extra protease inhibitors

Remember that optimization is an iterative process, and conditions may need to be adjusted based on your specific experimental system .

What are the recommended protocols for Western blotting with At5g44480 antibody?

A successful Western blot protocol for the At5g44480 antibody involves several critical steps:

  • Sample preparation:

    • Extract total protein from Arabidopsis tissues using a buffer containing 50mM Tris-HCl pH 7.5, 150mM NaCl, 1mM EDTA, 1% Triton X-100, and protease inhibitors

    • Determine protein concentration using Bradford or BCA assay

    • Denature samples in Laemmli buffer (containing SDS and β-mercaptoethanol) at 95°C for 5 minutes

  • Gel electrophoresis and transfer:

    • Load 20-40μg protein per lane on 10-12% SDS-PAGE gels

    • Transfer to PVDF membrane (preferred over nitrocellulose for plant proteins)

    • Verify transfer efficiency with reversible staining (Ponceau S)

  • Immunoblotting:

    • Block membrane with 5% non-fat milk in TBST (TBS + 0.1% Tween-20) for 1 hour at room temperature

    • Incubate with At5g44480 antibody diluted 1:500 to 1:2000 in blocking buffer overnight at 4°C

    • Wash extensively with TBST (4 times, 5 minutes each)

    • Incubate with HRP-conjugated secondary antibody (anti-rabbit IgG) diluted 1:5000 for 1 hour

    • Wash as before

    • Develop using ECL substrate and image using appropriate detection system

  • Controls to include:

    • Positive control: Arabidopsis wild-type tissue known to express At5g44480

    • Negative control: Tissue from knockout/knockdown line or non-expressing tissue

    • Loading control: Probe for constitutively expressed protein (e.g., actin or tubulin)

This protocol incorporates lessons from antibody validation studies emphasizing the importance of proper controls and methodological rigor in ensuring specificity .

How should I troubleshoot non-specific bands or high background when using At5g44480 antibody?

Non-specific binding and high background are common challenges when working with antibodies:

  • Non-specific bands in Western blot:

    • Increase blocking stringency (try 5% BSA instead of milk, or increase blocking time)

    • Optimize antibody dilution (test a dilution series to find optimal concentration)

    • Add 0.1-0.5% Tween-20 to antibody dilution buffer

    • Consider using gradient gels to better separate proteins of similar molecular weight

    • Perform peptide competition assay to identify which bands are specific

    • Consider pre-adsorbing the antibody with non-target tissue lysate

  • High background in immunostaining:

    • Increase washing duration and frequency

    • Reduce primary and secondary antibody concentrations

    • Use more stringent blocking (add 0.1-0.5% Triton X-100 to blocking buffer)

    • Ensure tissues are properly fixed and permeabilized

    • Consider autofluorescence quenching methods for plant tissues

  • General troubleshooting approaches:

    • Test different blocking agents (milk, BSA, normal serum, commercial blockers)

    • Optimize incubation temperature (4°C vs. room temperature)

    • Check for cross-reactivity with closely related proteins

    • Consider the impact of post-translational modifications on antibody recognition

Research on antibody specificity has shown that cross-reactivity can occur due to conformational homology between the antibody's epitope region and proteins unrelated to the target, highlighting the importance of rigorous controls and optimization .

What strategies can be used to analyze At5g44480 expression in different plant tissues or developmental stages?

To comprehensively analyze At5g44480 expression across tissues or developmental stages:

  • Quantitative approaches:

    • Quantitative Western blot with tissue-specific protein extracts

    • ELISA analysis with standardized protein amounts from different tissues

    • Immunohistochemistry followed by quantitative image analysis

    • Protein mass spectrometry for absolute quantification

  • Spatial analysis:

    • Immunohistochemistry on tissue sections to visualize protein localization

    • Whole-mount immunostaining for seedlings or small organs

    • Tissue clearing techniques combined with immunofluorescence for 3D visualization

    • Subcellular fractionation followed by Western blot to determine compartmentalization

  • Temporal analysis:

    • Time-course experiments sampling at defined developmental stages

    • Inducible systems to track protein expression after stimulus application

    • Comparison with transcriptional data (qRT-PCR or RNA-seq) to correlate protein with mRNA levels

  • Experimental conditions for reliable quantification:

ParameterRecommendationRationale
Sample sizeMinimum n=3 biological replicatesAccounts for natural variation
Reference proteinUse multiple references (actin, tubulin, GAPDH)Single references may vary across tissues
NormalizationTotal protein normalization (Stain-Free, Ponceau)More reliable than single housekeeping proteins
Quantification methodDensitometry using linear rangeEnsures measurements within dynamic range
Statistical analysisANOVA with post-hoc testsAppropriate for multi-group comparisons

The combination of these approaches provides a comprehensive view of protein expression patterns, similar to methods used in plant studies conducted in both terrestrial and spaceflight conditions .

How can I determine if post-translational modifications affect antibody recognition of At5g44480?

Post-translational modifications (PTMs) can significantly impact antibody recognition:

  • Assessing PTM impact:

    • Compare antibody signal between native protein samples and those treated with modification-removing enzymes (phosphatases, deglycosylases, etc.)

    • Use modification-specific inhibitors during sample preparation

    • Compare antibody recognition in samples from plants grown under different conditions known to induce specific modifications

    • Test recombinant protein with and without specific modifications

  • Analysis of PTM-dependent recognition:

    • If the antibody was raised against a recombinant protein, determine if the expression system introduced modifications not present in plants

    • Consider whether the epitope region contains potential modification sites

    • Analyze antibody performance in samples treated with chemicals that preserve specific modifications

  • Experimental approaches:

    • Two-dimensional gel electrophoresis to separate protein isoforms followed by Western blotting

    • Immunoprecipitation followed by mass spectrometry to identify modifications on the captured protein

    • Parallel analysis with antibodies specifically targeting modified forms of the protein

These approaches build on the understanding that antibody specificity can be influenced by the conformational state of the target protein, which in turn is affected by post-translational modifications .

How can I use the At5g44480 antibody for co-immunoprecipitation studies?

Co-immunoprecipitation (Co-IP) can identify protein interaction partners of At5g44480:

  • Optimized Co-IP protocol:

    • Extract proteins under non-denaturing conditions (avoid SDS, use mild detergents like 0.5% NP-40)

    • Pre-clear lysate with Protein A/G beads to reduce non-specific binding

    • Incubate cleared lysate with At5g44480 antibody (typically 2-5μg antibody per 500μg protein)

    • Capture antibody-protein complexes with Protein A-conjugated beads (the antibody is rabbit-derived )

    • Wash extensively with decreasing detergent concentrations

    • Elute bound proteins and analyze by mass spectrometry or Western blot

  • Critical controls:

    • Negative control: Perform parallel IP with non-specific rabbit IgG

    • Specificity control: Include samples from At5g44480 knockout/knockdown plants

    • Input control: Analyze a small portion of the starting material

    • Validation control: Confirm interactions with reciprocal Co-IP using antibodies against identified partners

  • Distinguishing true interactions from contaminants:

    • Use quantitative proteomics to compare IP samples with controls

    • Apply statistical thresholds for enrichment (typically >2-fold enrichment with p<0.05)

    • Consider using proximity-dependent labeling methods (BioID, APEX) for validation

    • Check literature for common contaminants in plant Co-IP experiments

When analyzing Co-IP data, be aware that some proteins may appear in IP samples due to antibody cross-reactivity rather than true interaction with the target, as demonstrated in studies of other antibodies .

What approaches can be used to combine At5g44480 antibody with other detection methods for comprehensive protein analysis?

Integrating multiple detection methods provides robust experimental validation:

  • Complementary approaches:

    • Combine protein detection (antibody-based) with transcriptional analysis (RT-qPCR, RNA-seq)

    • Correlate immunolocalization with fluorescent protein fusions

    • Integrate Western blot data with proteomic mass spectrometry

    • Pair functional assays with quantitative protein detection

  • Multi-scale analysis framework:

ScalePrimary MethodComplementary MethodIntegration Approach
MolecularWestern blotMass spectrometryValidation of antibody specificity
CellularImmunocytochemistryFluorescent protein localizationColocalization analysis
TissueImmunohistochemistryRNA in situ hybridizationCorrelation of protein and transcript patterns
OrganismalQuantitative ELISAPhenotypic analysisAssociation of protein levels with phenotypes
  • Data integration strategies:

    • Use normalization methods to compare data across platforms

    • Apply multivariate statistical approaches to identify patterns

    • Develop computational models incorporating multiple data types

    • Consider temporal dynamics when integrating datasets collected at different timepoints

How should I analyze quantitative data from experiments using the At5g44480 antibody?

These practices align with rigorous scientific approaches employed in studies of antibody specificity, emphasizing the importance of quantitative validation and statistical rigor .

How might the At5g44480 antibody be used in plant stress response studies?

The At5g44480 antibody offers valuable applications in stress response research:

  • Experimental approaches:

    • Track protein abundance changes across stress treatments (drought, salinity, temperature extremes)

    • Analyze protein localization shifts during stress responses

    • Examine post-translational modifications induced by stress conditions

    • Investigate stress-responsive protein-protein interactions through co-immunoprecipitation

  • Integrated experimental design:

    • Combine protein detection with physiological measurements (photosynthesis, respiration)

    • Correlate protein dynamics with transcriptional changes

    • Compare wild-type and mutant responses to identify functional roles

    • Analyze temporal patterns to distinguish early and late responses

  • Advanced applications:

    • Chromatin immunoprecipitation (if At5g44480 has DNA-binding properties)

    • Protein stability assays under different stress conditions

    • Single-cell analysis of protein distribution in complex tissues

    • Comparative analysis across ecotypes to identify adaptive variations

These approaches build on established methodologies in plant biology research, particularly those used to study plant responses in various environmental conditions, including unique environments like microgravity .

What considerations are important when using At5g44480 antibody in combination with other antibodies for multiplex analysis?

Multiplexing requires careful planning to avoid technical artifacts:

  • Primary antibody compatibility:

    • Use antibodies raised in different host species to enable specific secondary detection

    • If using antibodies from the same species, consider direct labeling or sequential detection

    • Test for cross-reactivity between secondary antibodies and primary antibodies

    • Ensure epitope accessibility is not impacted by detection of other targets

  • Optimization strategies:

    • Titrate each antibody individually before combining

    • Determine optimal incubation sequence (simultaneous vs. sequential)

    • Test for signal bleed-through in fluorescence applications

    • Consider differential fixation requirements for each target

  • Technical approaches for multiplexing:

    • Fluorescence multiplexing using spectrally distinct fluorophores

    • Sequential reprobing of Western blots after stripping

    • Use of distinguishable nanoparticle labels

    • Multiplexed detection using differentially labeled secondary antibodies

  • Data analysis considerations:

    • Apply appropriate compensation matrices for spectral overlap

    • Use co-localization coefficients for quantifying spatial relationships

    • Consider how detection of one protein might influence detection of another

    • Implement careful controls to validate multiplex findings

These considerations are important for generating reliable data from multiplex experiments, avoiding artifacts that can arise from antibody cross-reactivity or technical limitations .

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