At3g05160 Antibody

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Product Specs

Buffer
Preservative: 0.03% ProClin 300; Constituents: 50% Glycerol, 0.01M PBS, pH 7.4
Form
Liquid
Lead Time
14-16 week lead time (made-to-order)
Synonyms
At3g05160 antibody; T12H1.13 antibody; Sugar transporter ERD6-like 10 antibody
Target Names
At3g05160
Uniprot No.

Target Background

Function
Targets a sugar transporter protein.
Database Links

KEGG: ath:AT3G05160

STRING: 3702.AT3G05160.1

UniGene: At.70075

Protein Families
Major facilitator superfamily, Sugar transporter (TC 2.A.1.1) family
Subcellular Location
Membrane; Multi-pass membrane protein.

Q&A

What is the At3g05160 gene and what protein does it encode?

At3g05160 is a gene located on chromosome 3 of Arabidopsis thaliana that encodes a Sugar transporter ERD6-like 10 protein. This protein belongs to the major facilitator superfamily (MFS) of membrane transport proteins, which facilitate the movement of substrates across cell membranes. The gene is also known by alternative identifiers including T12H1.12, and the protein functions as part of the plant's carbohydrate transport systems. The encoded protein is classified under the major facilitator superfamily with roles in sugar transport processes that are particularly relevant during plant stress responses .

What types of At3g05160 antibodies are commercially available?

Currently, researchers can access polyclonal antibodies targeting At3g05160 from Arabidopsis thaliana. The primary commercial option is a rabbit polyclonal antibody that specifically targets the At3g05160 protein. According to available information, these antibodies are typically affinity-purified and designed for high specificity against the target protein. They are available in formats suitable for various experimental applications. The most common form is the rabbit anti-Arabidopsis thaliana At3g05160 polyclonal antibody, which has been validated for specificity against the target protein .

What are the standard storage and handling conditions for At3g05160 antibodies?

At3g05160 antibodies should be stored at -20°C or below to maintain their activity and specificity. Many commercial antibodies are provided in a lyophilized format, which requires reconstitution before use. For reconstitution, typically 50 μl of sterile water is recommended. After reconstitution, it's advisable to create aliquots to avoid repeated freeze-thaw cycles, which can degrade antibody quality. Before opening antibody tubes, a brief centrifugation is recommended to collect any material that might adhere to the cap or sides of the tube. These storage and handling practices are consistent with those for other plant antibodies and are crucial for maintaining antibody performance over time .

What are the validated experimental applications for At3g05160 antibodies?

At3g05160 antibodies have been validated for several experimental applications in plant molecular biology research. The primary validated applications include:

  • Western blot (WB): Typically used at dilutions of 1:1000, allowing detection of the At3g05160 protein in plant protein extracts.

  • Immunoprecipitation (IP): Effective at dilutions of approximately 1:100, enabling isolation of At3g05160 protein complexes.

  • Chromatin Immunoprecipitation (ChIP): Used at approximately 6 μg per reaction to study protein-DNA interactions involving At3g05160.

These applications enable researchers to investigate protein expression, protein-protein interactions, and protein-DNA interactions related to At3g05160 function in Arabidopsis thaliana .

What is the recommended protocol for Western blot detection using At3g05160 antibodies?

For optimal Western blot detection using At3g05160 antibodies, follow this protocol:

  • Sample preparation: Extract total protein from Arabidopsis tissue using an extraction buffer optimized for plant proteins. For histone-associated proteins like At3g05160, acid extraction methods may improve results.

  • Protein denaturation: Denature samples in SDS-PAGE buffer at 90°C for 2 minutes.

  • Gel electrophoresis: Separate proteins on a 15% SDS-PAGE gel.

  • Transfer: Perform tank transfer to PVDF membrane for 1 hour.

  • Blocking: Block membrane with PBS + 3% BSA overnight at 4°C with gentle agitation.

  • Primary antibody: Incubate membrane with At3g05160 antibody at 1:1000 dilution in PBS + 3% BSA for 1 hour at room temperature.

  • Washing: Rinse once with PBS-T for 5 minutes.

  • Secondary antibody: Incubate with anti-rabbit IgG HRP-conjugated secondary antibody at 1:25,000 dilution in PBS + 3% BSA for 1 hour at room temperature.

  • Washing: Perform multiple washes with PBS-T.

  • Detection: Visualize using an appropriate chemiluminescence detection system.

This protocol has been shown to provide specific detection of At3g05160 protein in Arabidopsis samples .

How can I optimize chromatin immunoprecipitation (ChIP) experiments using At3g05160 antibodies?

To optimize ChIP experiments with At3g05160 antibodies:

  • Crosslinking: Use 1% formaldehyde for 10-15 minutes for efficient crosslinking of protein-DNA complexes.

  • Chromatin shearing: Optimize sonication conditions to generate DNA fragments of 200-500 bp.

  • Antibody amount: Use approximately 6 μg of At3g05160 antibody per ChIP reaction.

  • Pre-clearing: Pre-clear chromatin with protein A/G beads to reduce background.

  • Immunoprecipitation: Incubate chromatin with antibody overnight at 4°C with rotation.

  • Controls: Always include a negative control (no antibody or IgG) and a positive control (antibody against a known DNA-binding protein).

  • Washing: Use increasingly stringent washing buffers to reduce non-specific binding.

  • Elution and reversal of crosslinks: Carefully elute immunoprecipitated complexes and reverse crosslinks.

  • DNA purification: Purify DNA using column-based methods for the best results.

  • qPCR validation: Design primers for known or suspected binding regions for validation.

This approach maximizes the specificity and efficiency of ChIP experiments targeting At3g05160 .

How can I address weak or absent signals when using At3g05160 antibodies in Western blots?

When encountering weak or absent signals with At3g05160 antibodies in Western blots, consider these troubleshooting steps:

  • Protein extraction: Ensure efficient protein extraction using optimized buffers. For membrane proteins like At3g05160, specialized extraction buffers may be required.

  • Protein loading: Increase the amount of total protein loaded (4-5 μg recommended for wild-type Arabidopsis).

  • Transfer efficiency: Verify transfer efficiency using reversible protein stains.

  • Blocking optimization: Test different blocking agents (BSA vs. milk) and concentrations.

  • Antibody concentration: Increase primary antibody concentration (try 1:500 instead of 1:1000).

  • Incubation time: Extend primary antibody incubation to overnight at 4°C.

  • Detection sensitivity: Use a more sensitive detection system or substrate.

  • Expression levels: Verify that your experimental conditions induce At3g05160 expression, as levels may vary under different conditions.

  • Sample degradation: Check for protein degradation by including protease inhibitors during extraction.

  • Antibody quality: Verify antibody quality with a positive control sample known to express At3g05160.

These approaches help address common issues affecting antibody-based detection of plant proteins .

What are the common sources of non-specific binding with At3g05160 antibodies and how can they be minimized?

Non-specific binding with At3g05160 antibodies can arise from several sources:

  • Cross-reactivity: At3g05160 antibodies may cross-react with related sugar transporters or other proteins with similar epitopes.

  • Inadequate blocking: Insufficient blocking can lead to high background signals.

  • Secondary antibody issues: Non-specific binding of secondary antibodies can contribute to background.

  • Sample preparation problems: Incomplete protein denaturation can cause aggregation and non-specific binding.

  • Membrane issues: Improper membrane handling can increase non-specific binding.

To minimize these issues:

  • Use higher dilutions of primary and secondary antibodies

  • Extend blocking time (overnight at 4°C)

  • Include 0.1-0.3% Tween-20 in wash buffers

  • Perform additional washing steps

  • Pre-absorb antibodies with total protein extract from knockout/knockdown plants

  • Use highly purified antibodies (immunogen affinity purified)

  • Include competitive peptides to confirm specificity

  • Use genetically modified plants (knockouts of At3g05160) as negative controls

These strategies significantly reduce non-specific binding and improve experimental outcomes .

What experimental considerations are important when comparing wild-type and mutant plants using At3g05160 antibodies?

When comparing wild-type and mutant plants using At3g05160 antibodies, several critical experimental considerations ensure reliable results:

  • Loading controls: Use appropriate loading controls (actin, tubulin, or total protein stains) to normalize protein levels across samples.

  • Sample normalization: Load different amounts of protein from different genotypes to account for expression differences (e.g., 1 μg from double mutants, 2 μg from single mutants, and 2-5 μg from wild-type).

  • Extraction consistency: Use identical extraction protocols for all samples to avoid methodology-based variations.

  • Genetic background: Ensure mutants and wild-type plants have the same genetic background to minimize non-specific variations.

  • Growth conditions: Maintain identical growth conditions for all plants to prevent environment-induced expression changes.

  • Biological replicates: Include multiple biological replicates to account for plant-to-plant variation.

  • Technical replicates: Perform technical replicates to ensure methodological consistency.

  • Developmental stage: Compare plants at equivalent developmental stages.

  • Tissue specificity: Analyze the same tissues across genotypes, as expression may vary between tissues.

  • Quantification methods: Use digital imaging and quantification software for objective analysis of band intensities.

Research has shown that using these considerations allows for meaningful comparison between wild-type Arabidopsis plants and hta9, hta11 single and double mutants when analyzing protein expression patterns .

How does the specificity of At3g05160 antibodies compare to other Arabidopsis antibodies?

The specificity of At3g05160 antibodies is comparable to other well-characterized Arabidopsis antibodies when properly validated. Compared to antibodies targeting other plant proteins like HTA9 (histone H2A variant 3), At3g05160 antibodies show similar specificity profiles. Both types of antibodies typically require careful optimization of experimental conditions to achieve maximal specificity.

In cross-reactivity comparisons, At3g05160 antibodies, like many plant protein antibodies, may show limited cross-reactivity with related proteins in Arabidopsis but generally do not cross-react with proteins from evolutionarily distant plants. For example, while HTA9 antibodies do not react with proteins from Nicotiana tabacum or Zea mays, similar species-specificity would be expected for At3g05160 antibodies.

When evaluating antibody performance across different experimental techniques, At3g05160 antibodies and other Arabidopsis antibodies generally require technique-specific optimization but show comparable reliability when properly validated for each application .

What are the key differences in experimental protocols between At3g05160 antibodies and other plant antibodies?

While the general principles of antibody-based techniques remain consistent across different plant antibodies, several key differences in experimental protocols exist when working with At3g05160 antibodies compared to other plant antibodies:

  • Extraction methods: At3g05160, being a sugar transporter in the major facilitator superfamily, may require specialized membrane protein extraction protocols, unlike soluble proteins or nuclear proteins like histones.

  • Buffer compositions: Optimal buffer compositions for At3g05160 antibodies may differ from those used for other plant antibodies, particularly in terms of detergent types and concentrations.

  • Dilution factors: At3g05160 antibodies may require different working dilutions compared to other antibodies (1:1000 for Western blot versus 1:5000 for some highly abundant proteins).

  • Incubation conditions: The optimal temperature and duration for primary antibody incubation may vary between different antibody types.

  • Blocking agents: While BSA (3%) works well for At3g05160 antibodies, other plant antibodies may perform better with different blocking agents or concentrations.

  • Cross-reactivity profiles: Each antibody has unique cross-reactivity profiles requiring different validation strategies.

  • Sample preparation: Membrane proteins like At3g05160 often require different sample preparation methods compared to soluble or nuclear proteins.

  • Epitope accessibility: Post-translational modifications or protein-protein interactions may differentially affect epitope accessibility across protein types.

These differences highlight the importance of optimizing protocols specifically for each antibody rather than applying standardized approaches across all plant antibodies .

How can computational-experimental approaches improve the design and application of At3g05160 antibodies?

Computational-experimental approaches offer significant potential for improving At3g05160 antibody design and application:

  • Epitope prediction: Advanced computational algorithms can predict optimal epitope regions within the At3g05160 protein, enhancing antibody specificity and reducing cross-reactivity.

  • Structural modeling: 3D modeling of the At3g05160 protein structure can identify accessible epitopes, improving antibody binding efficiency.

  • Molecular dynamics simulations: These can predict how antibody-antigen complexes behave under various experimental conditions, optimizing protocols.

  • Glycan-antibody interaction analysis: For sugar transporters like At3g05160, computational modeling of glycan-antibody interactions can improve antibody design.

  • Saturation transfer difference NMR (STD-NMR): This technique, combined with computational modeling, can define the antibody-antigen contact surface with high precision.

  • Automated docking: Generating thousands of plausible antibody-antigen complex models allows selection of optimal binding configurations.

  • Virtual screening: Computational screening against related proteins can predict and minimize cross-reactivity.

  • Integration with experimental validation: Combining computational predictions with site-directed mutagenesis and quantitative glycan microarray screening creates a powerful approach for antibody optimization.

This combined computational-experimental approach allows for rational design of more specific and effective antibodies targeting At3g05160, potentially resolving current limitations in antibody performance .

What emerging technologies might enhance the specificity and applications of At3g05160 antibodies in plant research?

Several emerging technologies show promise for enhancing the specificity and applications of At3g05160 antibodies:

  • Single-domain antibodies (nanobodies): These smaller antibody fragments could provide better access to epitopes in membrane proteins like At3g05160.

  • CRISPR-epitope tagging: Endogenous tagging of At3g05160 with small epitopes using CRISPR/Cas9 would allow the use of highly specific commercial tag antibodies.

  • Proximity labeling techniques: BioID or APEX2 fusions with At3g05160 could enable mapping of protein-protein interactions in native contexts.

  • Super-resolution microscopy: Advanced imaging techniques combined with highly specific antibodies could reveal subcellular localization patterns of At3g05160 with unprecedented detail.

  • Mass spectrometry-based epitope mapping: This could enhance antibody design by precisely defining antibody binding sites.

  • Microfluidic antibody validation platforms: High-throughput screening of antibody specificity across multiple conditions.

  • Machine learning approaches: Algorithms trained on successful antibody-antigen pairs could predict optimal antibody design parameters.

  • Synthetic antibody libraries: These could be screened for improved specificity against At3g05160.

  • In vitro evolution techniques: Directed evolution could optimize antibody affinity and specificity.

  • Multiplexed imaging technologies: These would allow simultaneous detection of At3g05160 and interacting partners.

These technologies represent the frontier of antibody development and application, potentially transforming how researchers study At3g05160 and other plant membrane transporters .

What are the current knowledge gaps in understanding At3g05160 function that improved antibodies could help address?

Several significant knowledge gaps in understanding At3g05160 function could be addressed with improved antibody tools:

  • Tissue-specific expression patterns: More specific antibodies could help map the expression of At3g05160 across different plant tissues and developmental stages.

  • Subcellular localization: Improved antibodies suitable for immunolocalization could clarify the precise subcellular compartments where At3g05160 functions.

  • Post-translational modifications: Modification-specific antibodies could reveal how phosphorylation, glycosylation, or other modifications regulate At3g05160 activity.

  • Protein-protein interactions: Better co-immunoprecipitation-grade antibodies could identify protein complexes involving At3g05160.

  • Stress-responsive regulation: Quantitative applications of At3g05160 antibodies could track protein level changes during various stress conditions.

  • Transporter dynamics: Antibodies suitable for live-cell imaging could help understand the dynamics of At3g05160 trafficking and turnover.

  • Structure-function relationships: Epitope-specific antibodies could probe the relationship between structural domains and transport function.

  • Evolutionary conservation: Cross-reactive antibodies could compare At3g05160 orthologs across plant species.

  • Substrate specificity determinants: Domain-specific antibodies could help identify regions involved in substrate recognition.

  • Regulatory mechanisms: Improved ChIP-grade antibodies could help identify transcription factors regulating At3g05160 expression.

Addressing these knowledge gaps would significantly advance our understanding of sugar transport mechanisms in plants and their roles in plant development and stress responses .

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