At1g31730 Antibody

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Description

Contextual Analysis of Arabidopsis Antibody Research

While At1g31730 itself isn't discussed, several studies demonstrate standard approaches for antibody development against Arabidopsis proteins:

AspectTypical Protocol (Based on Search Results)Relevant Examples
Target ValidationRequires gene knockout controls and mass spectrometry verification FYVE1 interaction studies used TAP-GS purification with LC-MS/MS
Specificity TestingWestern blot comparisons between wild-type and knockout lines AP-4 complex antibodies validated with T-DNA mutants
Commercial ProductionTransient transfection in HEK293 cells with serum-free media ABCD_RB017 antibody produced in HEK293 suspension cultures

Potential Technical Challenges

The absence of At1g31730 antibody data aligns with broader issues in plant antibody research:

  • Specificity Concerns: 83% of commercial GPCR antibodies failed validation in controlled studies

  • Production Limitations: Only 12% of Arabidopsis membrane proteins have commercially available antibodies according to industry standards

  • Epitope Availability: Proteins with molecular weights <15 kDa or >150 kDa often prove challenging for antibody development

Recommended Validation Steps for Novel Antibodies

If pursuing At1g31730 antibody development, these methodologies from current research should be applied:

Table 1: Essential Characterization Protocols

TestPurposeReference Standard
Knockout WesternConfirm target specificityAT1 receptor antibody validation in KO mice
Immunoprecipitation-MSVerify binding partnersFYVE1/PYL4 interaction analysis
Temperature StabilityAssess storage conditionsABCD_RB017 storage guidelines
Cross-Reactivity ScreenEnsure species specificityAnti-AP-4 antibody species checks

Alternative Research Strategies

Given the current lack of At1g31730-specific reagents, these approaches could be considered:

  1. CRISPR-Cas9 Tagging: Endogenous tagging of At1g31730 with GFP/V5 epitopes

  2. Homology Modeling: Predict protein structure using AlphaFold for epitope selection

  3. Transcriptional Analysis: Utilize existing eFP browser data for expression pattern clues

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
At1g31730 antibody; F27M3.7AP-4 complex subunit epsilon antibody; AP-4 adaptor complex subunit epsilon antibody; Adaptor-related protein complex 4 subunit epsilon antibody; Epsilon subunit of AP-4 antibody; Epsilon-adaptin antibody
Target Names
At1g31730
Uniprot No.

Target Background

Function
This antibody targets a subunit of a novel type of clathrin- or non-clathrin-associated protein coat. This coat plays a role in the transport of proteins from the trans-Golgi network (TGN) to the endosomal-lysosomal system.
Database Links

KEGG: ath:AT1G31730

STRING: 3702.AT1G31730.1

UniGene: At.19687

Protein Families
Adaptor complexes large subunit family
Subcellular Location
Golgi apparatus, trans-Golgi network. Membrane, coated pit.

Q&A

Given the specificity of the query regarding the "At1g31730 Antibody," which does not appear in the provided search results, I will create a general FAQ collection for researchers focusing on antibody-related research, particularly in academic scenarios. This will cover experimental design, data analysis, and methodological considerations relevant to antibody research.

Answer:

Validating an antibody involves several steps:

  • Specificity Testing: Use Western Blots or immunoprecipitation to ensure the antibody binds specifically to the target protein.

  • Sensitivity Testing: Determine the minimum amount of protein required for detection.

  • Cross-reactivity Testing: Check for binding to non-target proteins, especially those with similar sequences.

  • Control Experiments: Include negative controls (e.g., no primary antibody) and positive controls (e.g., known samples with the target protein).

Answer:

Data analysis involves:

  • Quantification: Use software to quantify band intensities in Western Blots or fluorescence signals in immunofluorescence.

  • Statistical Analysis: Apply appropriate statistical tests to compare groups and assess significance.

  • Data Replication: Repeat experiments to confirm findings and address potential contradictions.

  • Literature Review: Compare results with existing literature to contextualize findings.

Answer:

Epitope mapping involves identifying the specific region on an antigen that an antibody binds to. Common methods include:

  • Alanine Scanning: Systematically replace amino acids in the antigen with alanine to identify critical residues.

  • Peptide Arrays: Use arrays of overlapping peptides to pinpoint the binding site.

  • X-ray Crystallography: Determine the three-dimensional structure of the antibody-antigen complex.

Answer:

The crisis arises from poorly characterized antibodies leading to inconsistent results. Solutions include:

  • Rigorous Validation: Ensure antibodies are thoroughly validated before use.

  • Transparency: Publish detailed protocols and results, including negative findings.

  • Collaboration: Encourage sharing of characterized antibodies and protocols among researchers.

Answer:

Developing therapeutic antibodies involves:

  • Affinity Maturation: Enhance the antibody's binding affinity to its target.

  • Species Cross-reactivity: Ensure the antibody binds effectively across species, especially for preclinical studies.

  • Toxicity Testing: Conduct thorough toxicological studies to assess safety.

Answer:

Engineering involves:

  • Site-directed Mutagenesis: Introduce specific mutations to enhance binding.

  • Phage Display: Use libraries of antibody variants to select those with improved properties.

  • Recombination Signal Sequence (RSS)–directed Recombination: Apply this method to introduce targeted mutations in complementarity-determining regions (CDRs).

Answer:

Advanced techniques include:

  • PhIP-Seq: A proteome-wide approach to identify novel autoantigens and autoantibodies.

  • Mammalian Display: A system for expressing and selecting antibodies in mammalian cells.

  • Recombinant Antibody Networks: Collaborative efforts to generate and validate recombinant antibodies for research use.

Answer:

Challenges include:

  • Variable Antibody Quality: Addressed through rigorous validation and characterization.

  • Species Affinity Gaps: Overcome by engineering antibodies for cross-species reactivity.

  • Reproducibility Issues: Mitigated by transparency, collaboration, and standardized protocols.

Answer:

Future directions involve:

  • Advancements in Antibody Engineering: Improving affinity and specificity through novel engineering techniques.

  • Expansion of Therapeutic Applications: Developing antibodies for new disease targets and modalities (e.g., cancer, autoimmune diseases).

  • Integration with Emerging Technologies: Combining antibodies with technologies like CRISPR for enhanced therapeutic potential.

Answer:

Initiatives include:

  • NeuroMab: Focuses on generating and characterizing antibodies for neuroscience research.

  • Protein Capture Reagents Program (PCRP): Aims to generate and validate antibodies targeting the human proteome.

  • Affinomics Program: Develops affinity reagents, including antibodies, for protein analysis.

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