At3g28270 Antibody

What is the At3g28270 antibody and what organism does it target?

The At3g28270 antibody is a polyclonal antibody raised against the Arabidopsis thaliana protein coded by the At3g28270 gene. It specifically targets proteins from Arabidopsis thaliana (Mouse-ear cress), making it a valuable tool for plant molecular biology research . The antibody is generated using recombinant Arabidopsis thaliana At3g28270 protein as the immunogen and is raised in rabbits . This antibody is part of a broader collection of antibodies developed for the plant scientific community to facilitate functional studies in Arabidopsis .

What are the recommended applications for At3g28270 antibody?

The At3g28270 antibody has been tested and validated for specific applications including ELISA (Enzyme-Linked Immunosorbent Assay) and Western Blotting (WB) . These applications enable researchers to detect and quantify the At3g28270 protein in various experimental contexts. When using antibodies for Arabidopsis research, validation through appropriate controls is essential, as demonstrated in comprehensive studies of Arabidopsis antibody resources where antibody specificity was verified against respective mutant backgrounds .

How should the At3g28270 antibody be stored and handled for optimal performance?

For optimal performance and longevity, the At3g28270 antibody should be stored at -20°C or -80°C upon receipt . It's crucial to avoid repeated freeze-thaw cycles as these can compromise antibody integrity and performance. The antibody is supplied in liquid form in a storage buffer consisting of 0.03% Proclin 300 as a preservative, 50% Glycerol, and 0.01M PBS at pH 7.4 . These storage conditions help maintain antibody stability and functionality for research applications.

What purification method is used for the At3g28270 antibody?

The At3g28270 antibody undergoes antigen affinity purification , a technique that significantly enhances antibody specificity and performance. This purification method is crucial for improving detection rates and reducing background signal, as demonstrated in studies on Arabidopsis antibody resources where "affinity purification of antibodies massively improved the detection rate" . The purification process helps isolate antibodies that specifically bind to the target antigen, thereby increasing signal-to-noise ratio in experimental applications.

How can I validate the specificity of At3g28270 antibody in my experimental system?

Validating antibody specificity for At3g28270 requires a multi-faceted approach. The gold standard involves comparing antibody signals between wild-type plants and At3g28270 knockout/knockdown mutants. For Western blot validation, the antibody should detect a single band of the expected molecular weight in wild-type samples that is absent or significantly reduced in mutant samples . For immunolocalization studies, conduct parallel experiments with wild-type and mutant tissues under identical conditions, where specific signals should be absent in the mutant background .

Additional validation approaches include:

• Peptide competition assays where pre-incubation of the antibody with the immunizing peptide should abolish specific signals

• Testing across multiple independent experimental replicates

• Verifying subcellular localization patterns against known localization data for the protein

As demonstrated in comprehensive Arabidopsis antibody resources, "all the antibodies that were checked against their mutant background for cross reactivity by in situ immunolocalization gave no detectable signal in the mutants" , indicating the importance of this validation approach.

What considerations should be taken when designing immunocytochemistry experiments with At3g28270 antibody?

When designing immunocytochemistry experiments with At3g28270 antibody, researchers should address several critical factors:

• Fixation protocol: The choice between paraformaldehyde, glutaraldehyde, or combined fixatives significantly impacts epitope preservation and accessibility. For Arabidopsis root tissues, paraformaldehyde fixation often preserves both structure and antigenicity.

• Permeabilization methods: Plant cell walls require appropriate permeabilization using enzymes like driselase or pectinase, balanced with detergents like Triton X-100 that don't overly disrupt membrane proteins.

• Antigen retrieval: Consider heat-induced or enzymatic antigen retrieval methods if initial staining attempts show weak signals.

• Blocking parameters: Optimize blocking solutions (typically with BSA or normal serum) to minimize background while preserving specific binding.

• Antibody dilution optimization: Systematic testing of different antibody dilutions (typically starting at 1:100 to 1:1000) is essential for determining optimal signal-to-noise ratio .

When evaluating results, remember that among recombinant protein-derived antibodies for Arabidopsis, approximately 55% of antibodies detect signals with high confidence, and only about 31% are suitable for immunocytochemistry applications .

How does the success rate of At3g28270 antibody compare with other Arabidopsis antibodies derived from recombinant proteins?

The success rate of antibodies derived from recombinant proteins for Arabidopsis targets provides important context for researchers working with At3g28270 antibody. In comprehensive studies of Arabidopsis antibody resources, researchers found that from 70 antibodies raised against Arabidopsis root proteins using the recombinant protein approach, 38 (55%) could detect a signal with high confidence, and only 22 (31%) were qualified as immunocytochemistry grade .

This relatively modest success rate highlights the challenges in developing effective plant antibodies and emphasizes the importance of thorough validation. Researchers working with At3g28270 antibody should design experiments with these success rates in mind, incorporating appropriate controls and potentially using complementary approaches to verify findings.

The success rates also suggest that when antibodies do work well, as demonstrated for several key proteins involved in hormone synthesis, transport, membrane trafficking, and subcellular markers, they represent particularly valuable resources for the scientific community .

What bioinformatic approaches were likely used in selecting the immunogenic region for At3g28270 antibody production?

The development of effective At3g28270 antibody likely followed established bioinformatic strategies for selecting optimal immunogenic regions:

• Antigenicity prediction: Computational algorithms identified potentially antigenic regions within the At3g28270 protein sequence based on parameters such as hydrophilicity, flexibility, accessibility, and presence of turns.

• Cross-reactivity assessment: The largest antigenic subsequence was evaluated for potential cross-reactivity through database searches using blastX. For Arabidopsis antibody development, "A cut off of 40% similarity score (at amino acid level) was used as a guide to accept a given antigenic region for antibody production" .

• Refinement strategy: When blast results exceeded the similarity threshold, researchers either chose alternative antigenic regions or employed a "sliding window" approach to obtain smaller regions with less than 40% sequence similarity to other proteins .

• Family-specific considerations: For proteins within multi-gene families where obtaining a unique ~100 amino acid sequence was challenging, researchers sometimes opted for more generic family-specific antibodies .

This methodical bioinformatic approach to immunogen selection significantly enhances the likelihood of producing specific and effective antibodies for plant research.

What are the best practices for using At3g28270 antibody in Western blotting applications?

For optimal Western blotting with At3g28270 antibody, researchers should follow these methodological best practices:

• Sample preparation:

  • Extract proteins from Arabidopsis tissues using a buffer containing protease inhibitors

  • Determine protein concentration using Bradford or BCA assays

  • Normalize loading to ensure equal amounts across samples (typically 10-30 µg total protein)

• Gel electrophoresis optimization:

  • For optimal resolution near the expected molecular weight of At3g28270, adjust acrylamide percentage accordingly

  • Include molecular weight markers to verify band size

• Transfer parameters:

  • For plant proteins, semi-dry or wet transfer systems with PVDF membranes often yield better results

  • Verify transfer efficiency with reversible staining (Ponceau S)

• Blocking and antibody incubation:

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

  • Incubate with primary antibody (At3g28270) at optimized dilutions (typically start at 1:1000)

  • Use extended incubation times (overnight at 4°C) to enhance specific binding

• Signal development:

  • Use appropriate secondary antibody conjugated to HRP or fluorophores

  • For enhanced sensitivity with minimal background, consider ECL-Plus detection systems

• Controls:

  • Include wild-type and mutant/knockout samples to verify specificity

  • Consider including recombinant protein as a positive control when available

These methodologies align with validation approaches used in comprehensive Arabidopsis antibody resources where researchers successfully detected single bands of expected sizes on Western blots .

How can I optimize immunolocalization protocols for At3g28270 antibody in Arabidopsis root tissues?

Optimizing immunolocalization with At3g28270 antibody in Arabidopsis root tissues requires attention to several critical parameters:

• Sample fixation and embedding:

  • For whole-mount preparations: Fix tissues in 4% paraformaldehyde in PBS or MTSB buffer for 60-90 minutes

  • For sectioned material: Consider progressive lowering of temperature embedding in LR White resin to preserve antigenicity

• Cell wall digestion and permeabilization:

  • Treat fixed roots with cell wall-degrading enzymes (2% driselase or pectolyase)

  • Follow with membrane permeabilization using 0.1-0.5% Triton X-100

• Blocking and antibody application:

  • Block with 3% BSA in PBS with 0.1% Triton X-100 for at least 30 minutes

  • Apply primary antibody at optimized dilution (typically 1:50 to 1:200 for immunocytochemistry)

  • Incubate for extended periods (overnight at 4°C) to maximize specific binding

• Detection system selection:

  • For fluorescence microscopy: Use appropriate fluorophore-conjugated secondary antibodies

  • For confocal imaging: Select fluorophores compatible with available laser lines

  • Consider signal amplification systems like tyramide signal amplification for low-abundance proteins

• Controls and counterstaining:

  • Include wild-type and mutant tissues processed in parallel

  • Counterstain with DAPI for nuclear visualization

  • Consider co-localization with established subcellular markers

This protocol framework is based on successful approaches used for immunolocalization of various Arabidopsis proteins, where careful optimization has yielded specific subcellular localization data .

What techniques can address cross-reactivity issues when working with At3g28270 antibody?

Addressing potential cross-reactivity with At3g28270 antibody requires implementing multiple technical approaches:

• Pre-absorption controls:

  • Incubate antibody with excess immunizing peptide/protein prior to application

  • Apply pre-absorbed antibody in parallel with regular antibody

  • Specific signals should be eliminated or significantly reduced in pre-absorbed samples

• Dilution optimization:

  • Test systematic dilution series (e.g., 1:100, 1:500, 1:1000, 1:5000)

  • Identify dilution that maximizes specific signal while minimizing background

• Enhanced blocking strategies:

  • Use tissue-matched blocking agents (e.g., extract from At3g28270 knockout plants)

  • Include 5-10% normal serum from the secondary antibody host species

  • Add 0.1-0.2% Tween-20 to reduce hydrophobic interactions

• Cross-adsorption:

  • For polyclonal antibodies, consider cross-adsorption against related proteins

  • This process can remove antibodies recognizing shared epitopes

• Alternative detection systems:

  • Compare results using different visualization methods (e.g., colorimetric vs. fluorescent)

  • Enzyme-based detection systems may sometimes produce artifacts not present in fluorescent systems

These approaches align with strategies used in the development and validation of Arabidopsis antibody resources, where researchers implemented rigorous controls to confirm antibody specificity .

How can At3g28270 antibody data be integrated with other -omics approaches in Arabidopsis research?

Integrating At3g28270 antibody data with other -omics approaches creates powerful multi-dimensional insights:

• Proteomics integration:

  • Combine immunoprecipitation using At3g28270 antibody with mass spectrometry

  • Identify protein interaction partners and post-translational modifications

  • Compare antibody-based quantification with label-free quantitative proteomics data

• Transcriptomics correlation:

  • Correlate protein abundance (detected via At3g28270 antibody) with transcript levels

  • Identify potential post-transcriptional regulation mechanisms

  • Map protein expression against tissue-specific transcriptome datasets

• Phenomics connections:

  • Link subcellular localization patterns (from immunolocalization) with phenotypic data

  • Correlate protein expression levels with developmental or stress-response phenotypes

  • Establish cause-effect relationships through temporal studies

• Data visualization and analysis:

  • Apply machine learning approaches to integrate multiple data types

  • Use statistical methods to identify significant correlations across datasets

  • Implement network analysis to position At3g28270 within functional pathways

This integrated approach leverages the strengths of antibody-based detection while addressing limitations through complementary methodologies, creating a more comprehensive understanding of protein function in plant systems .

What considerations should be taken when using At3g28270 antibody alongside other Arabidopsis antibodies for co-localization studies?

When conducting co-localization studies with At3g28270 antibody and other Arabidopsis antibodies, researchers should consider these methodological factors:

• Primary antibody compatibility:

  • Select antibodies raised in different host species (e.g., rabbit vs. mouse) to enable simultaneous detection

  • If using antibodies from the same species, consider sequential immunolabeling with thorough blocking between steps

• Detection system optimization:

  • Choose secondary antibodies with non-overlapping emission spectra

  • Optimize each antibody independently before combining

  • Establish single-labeling controls to verify specificity of each signal

• Microscopy parameters:

  • Use sequential scanning in confocal microscopy to minimize bleed-through

  • Implement appropriate controls for spectral unmixing

  • Consider superresolution techniques for closely associated proteins

• Quantitative co-localization:

  • Apply rigorous co-localization statistics (Pearson's, Manders' coefficients)

  • Establish threshold values based on biological controls

  • Collect sufficient technical and biological replicates for statistical validity

• Validation with subcellular markers:

  • Include established subcellular marker antibodies as references

  • Particularly valuable are the subcellular markers developed as part of comprehensive Arabidopsis antibody resources, including "BiP, γ-cop, PM-ATPase and MDH" for various cellular compartments

This systematic approach maximizes the reliability of co-localization data while minimizing artifacts that can arise in multi-antibody labeling experiments.

What are the emerging applications of At3g28270 antibody in plant science research?

The At3g28270 antibody represents part of a growing toolkit for plant proteomics that continues to evolve in several promising directions:

• Single-cell protein profiling:

  • Application in emerging plant single-cell proteomics

  • Integration with cell-type specific isolation techniques

  • Correlation with single-cell transcriptomics data

• Super-resolution microscopy applications:

  • Implementation in techniques like STORM and PALM for nanoscale localization

  • Combination with expansion microscopy for enhanced resolution in plant tissues

  • Three-dimensional reconstruction of protein distribution patterns

• Live tissue imaging:

  • Development of compatible tagged nanobodies for live-cell applications

  • Adaptation for plant tissue clearing techniques

  • Integration with light-sheet microscopy for developmental studies

• Functional proteomics:

  • Utilization in large-scale protein interaction studies

  • Application in time-resolved signaling pathway analysis

  • Integration with structural biology approaches

These emerging applications build upon the foundation established by comprehensive Arabidopsis antibody resources, which have proven to be "an extremely valuable communal resource for plant scientific community worldwide" .

How will future Arabidopsis antibody resources likely improve upon current limitations?

Future developments in Arabidopsis antibody resources will likely address current limitations through several innovations:

• Enhanced production strategies:

  • Implementation of sophisticated epitope prediction algorithms

  • Development of plant-optimized synthetic antibodies and nanobodies

  • Standardization of validation protocols across the plant science community

• Technical refinements:

  • Creation of antibodies compatible with multiple applications from a single preparation

  • Development of multiplexed detection systems for simultaneous protein analysis

  • Integration with cryo-electron microscopy for structural studies

• Resource accessibility:

  • Expansion of centralized repositories like the Nottingham Arabidopsis Stock Centre

  • Implementation of community feedback mechanisms to document performance

  • Development of standardized validation datasets for quality assessment

• Application diversification:

  • Extension to non-model plant species through cross-reactivity testing

  • Development of antibodies against modified forms (phosphorylated, glycosylated)

  • Creation of conformation-specific antibodies for protein activation states

These future directions will build upon successful approaches demonstrated in comprehensive Arabidopsis antibody resources, where the "antibodies form an extremely valuable communal resource for plant scientific community worldwide" .