COPT2 Antibody

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Description

Target Protein Overview

COPT2 (SLC31A2) is a 143-amino-acid membrane protein with a molecular weight of 15.7 kDa . Key features include:

  • Domains: Three transmembrane domains (TMDs), extracellular N-terminus, cytosolic C-terminus, and conserved motifs (MxxxM, GxxxG) .

  • Function: Regulates copper(1+) transport and modulates SLC31A1 stability, influencing cellular copper and cisplatin accumulation .

  • Localization: Plasma membrane (plants) , cytoplasmic vesicles, lysosomes, and membranes (human) .

Key Research Findings

  • Copper Transport Regulation:

    • COPT2 stabilizes truncated SLC31A1, enhancing endosomal copper export .

    • In vitro, COPT2 acts as a low-affinity copper(1+) importer .

  • Therapeutic Implications:

    • Modulates cisplatin accumulation via SLC31A1, suggesting roles in chemotherapy resistance .

  • Cross-Species Relevance:

    • Arabidopsis COPT2 participates in copper/iron homeostasis and phosphate responses under deficiencies .

    • COPT2 also facilitates gold nanoparticle uptake in plants, expanding its functional scope .

Applications in Research

  • Immunohistochemistry (IHC-P): Used to localize COPT2 in human tissues .

  • Western Blot: Detects COPT2 expression levels in lysates .

  • Functional Studies: Elucidates copper-cisplatin interplay and metal deficiency responses .

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
COPT2; At3g46900; T6H20.70; Copper transporter 2; AtCOPT2
Target Names
COPT2
Uniprot No.

Target Background

Function
COPT2 plays a crucial role in copper transport within the cell.
Gene References Into Functions
  1. Research has indicated that the expression of SPL7 and its associated targets, COPT2 and FSD1, are differentially regulated in various light signaling mutants. Notably, under conditions of copper deficiency, the expression of both targets significantly decreases in continuous darkness. PMID: 26516126
  2. Studies utilizing a copt2-1 line have revealed the involvement of COPT2 in the intricate interplay between copper, iron, and phosphate deficiency responses in Arabidopsis. PMID: 23487432
Database Links

KEGG: ath:AT3G46900

STRING: 3702.AT3G46900.1

UniGene: At.37005

Protein Families
Copper transporter (Ctr) (TC 1.A.56) family, SLC31A subfamily
Subcellular Location
Membrane; Multi-pass membrane protein.
Tissue Specificity
Highly expressed in leaves and at lower levels in roots, stems and flowers.

Q&A

Experimental Design Considerations for COPT2 Antibody Use

Q: What are the key considerations when designing experiments using COPT2 antibodies in research settings?

A: When using COPT2 antibodies, it is crucial to consider several factors:

  • Specificity and Cross-reactivity: Ensure the antibody is specific to COPT2 and does not cross-react with other proteins. This can be verified by using knockout cell lines or orthogonal validation methods .

  • Sample Preparation: Optimize sample preparation to minimize background noise and ensure proper antigen retrieval if necessary .

  • Control Experiments: Include appropriate controls, such as isotype controls or secondary antibody-only controls, to validate the specificity of the antibody binding .

Data Interpretation and Contradiction Analysis

Q: How can researchers address potential contradictions in data obtained using COPT2 antibodies?

A: Contradictions in data can arise from several sources:

  • Antibody Quality: Poor antibody specificity or batch-to-batch variability can lead to inconsistent results. Use high-quality, validated antibodies and consider using recombinant antibodies, which often perform better than traditional monoclonal or polyclonal antibodies .

  • Experimental Conditions: Differences in experimental conditions, such as buffer composition or temperature, can affect antibody performance. Standardize conditions across experiments to ensure comparability .

  • Data Validation: Use orthogonal methods (e.g., RNA expression analysis) to validate protein expression levels and confirm antibody specificity .

Advanced Research Questions: Antibody Design and Engineering

Q: What are the principles for designing and engineering antibodies like those targeting COPT2?

A: Designing antibodies involves several key principles:

  • Sequence and Structural Constraints: Use sequence-design constraints derived from antibody multiple-sequence alignments to maintain stabilizing interactions between the framework and complementarity-determining regions (CDRs) .

  • Backbone Design: Ensure that the antibody backbone is stable and properly configured to support CDRs. This can involve segmenting the backbone into parts and optimizing sequence using algorithms like AbDesign .

  • Validation: Validate designed antibodies using methods such as yeast cell surface display to assess expression levels and binding affinity .

Choosing and Validating Antibodies for Non-Model Organisms

Q: How can researchers choose and validate COPT2 antibodies for use in non-model organisms?

A: When working with non-model organisms:

  • Sequence Alignment: Align the immunogen sequence of the antibody with the protein of interest in your organism. An alignment score of over 85% suggests potential cross-reactivity .

  • Experimental Validation: Perform control experiments to validate the antibody's performance in your specific organism. This may include using knockout or knockdown models if available .

Methodological Considerations for Antibody-Based Assays

Q: What methodological considerations are important when using COPT2 antibodies in assays like western blot or immunofluorescence?

A: Key considerations include:

  • Host Species: Choose primary antibodies raised in a different species than your sample to avoid cross-reactivity with endogenous immunoglobulins .

  • Assay Optimization: Optimize assay conditions (e.g., antibody concentration, incubation time) to maximize signal-to-noise ratio .

  • Quality Control: Use quality control measures such as western blotting with known positive and negative controls to ensure antibody specificity and functionality .

Example Data Table: Quality Control Pass Rates for Antibodies

ApplicationQuality Control Pass Rate
Western Blot49.8%
Immunoprecipitation43.6%
Immunofluorescence (IF)36.5%

This table highlights the importance of validating antibodies across different applications, as performance can vary significantly .

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