ECM13 Antibody

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Description

ECM13 as a Yeast Protein

The term "ECM13" refers to a protein in Saccharomyces cerevisiae (budding yeast) associated with extracellular matrix (ECM) organization.

Antibody Relevance:

No commercially available or research-grade antibodies targeting ECM13 in yeast are documented in the provided sources. The Saccharomyces Genome Database (SGD) does not list antibodies against ECM13 in its curated mutant allele or protein interaction datasets .

Potential Misinterpretation: CD13 (Aminopeptidase N) Antibodies

The query may conflate "ECM13" with CD13 (Cluster of Differentiation 13), a well-characterized cell surface antigen also known as aminopeptidase N. CD13 antibodies are extensively studied and commercialized.

CD13 Antibody Overview:

PropertyDetailsSource(s)
TargetCD13/ANPEP (160 kDa transmembrane glycoprotein with aminopeptidase activity)
Functions- Dendritic cell maturation
- Viral neutralization (e.g., cytomegalovirus)
- Tumor cell phagocytosis
Commercial Clones- ER-BMDM1 (Mouse IgG2a, reacts with murine CD13)
- 38C12 (Human CD13, IgG1)
ApplicationsWestern blot (1:3,000–1:8,000), IHC (1:5,000–1:20,000), IF/ICC (1:400–1:1,600)

Research Findings for CD13 Antibodies:

  • Viral Neutralization: Anti-CD13 antibodies inhibit cytomegalovirus (CMV) infection by binding directly to virions, blocking cellular entry .

  • Therapeutic Potential: CD13-targeting antibodies are under investigation for myeloid leukemia and inflammatory diseases due to their role in immune cell regulation .

  • Cross-Reactivity: Antibodies like ER-BMDM1 show specificity for murine CD13, while 38C12 targets human CD13 on monocytes and granulocytes .

ECM-Related Antibody Technologies

While ECM13-specific antibodies are not documented, advanced antibody discovery platforms (e.g., phage display) enable rapid development of antibodies against ECM components:

Phage Display Workflow for ECM Targets:

  1. Library Construction: scFv or Fab libraries displayed on M13 phage surfaces .

  2. Panning: Selection against ECM antigens (e.g., collagens, proteoglycans).

  3. Validation: Screening for binding affinity and functional blocking .

Approved ECM-Targeting Antibodies via Phage Display:

AntibodyTargetIndicationCompany
Tremfya™IL-23PsoriasisMorphoSys
Cyramza®VEGFR2Colorectal cancerDyax

Product Specs

Buffer
Preservative: 0.03% Proclin 300
Constituents: 50% Glycerol, 0.01M Phosphate Buffered Saline (PBS), pH 7.4
Form
Liquid
Lead Time
Made-to-order (14-16 weeks)
Synonyms
ECM13 antibody; YBL043W antibody; YBL0405Protein ECM13 antibody; Extracellular mutant protein 13 antibody
Target Names
ECM13
Uniprot No.

Target Background

Function
ECM13 may play a role in cell wall organization and biogenesis.
Database Links

KEGG: sce:YBL043W

STRING: 4932.YBL043W

Q&A

How can I validate the specificity of ECM13 antibody for my research?

Antibody specificity validation is crucial for generating reliable research data. A comprehensive validation approach should include multiple complementary techniques:

  • Knockout/knockdown cell line testing: The gold standard for antibody validation involves comparing antibody reactivity between wild-type and knockout cell lines. This approach allows you to confirm that signals detected in wild-type cells are absent in cells lacking the target protein . When working with ECM13 antibody, generate knockout cell lines using CRISPR-Cas9 or use commercially available knockout lines matched with parental controls.

  • Western blot analysis: Run protein extracts from both wild-type and knockout cells side-by-side. A specific antibody should detect a band of the appropriate molecular weight in wild-type samples that is absent in knockout samples. Evaluate multiple positive and negative control cell lines to confirm specificity across different cellular contexts .

  • Immunoprecipitation followed by mass spectrometry: Perform immunoprecipitation with your ECM13 antibody and analyze the precipitated proteins by mass spectrometry. This approach can identify both the target protein and potential cross-reactive proteins .

  • Multiple antibody concordance: Compare results using different antibodies targeting distinct epitopes of the same protein. Concordant results from multiple antibodies increase confidence in specificity .

What are the optimal storage conditions for maintaining ECM13 antibody activity?

Proper storage is essential for maintaining antibody functionality:

  • Temperature considerations: Store antibodies according to manufacturer recommendations, typically at -20°C for long-term storage. Avoid repeated freeze-thaw cycles by preparing small working aliquots.

  • Buffer composition: Most purified antibodies are stable in buffers containing:

    • PBS (pH 7.2-7.4)

    • Small amounts of sodium azide (0.02-0.05%) as preservative

    • Carrier proteins (e.g., BSA, 1-5%) to prevent adsorption to container surfaces

  • Stability monitoring: Periodically test antibody activity using positive control samples to ensure continued functionality. Document lot numbers and prepare standard curves to monitor potential activity loss over time.

How should I optimize ECM13 antibody concentration for Western blotting?

Optimizing antibody concentration is crucial for achieving specific signals while minimizing background:

  • Titration approach: Prepare a dilution series of your antibody (e.g., 1:100, 1:500, 1:1000, 1:5000) and test against a constant amount of positive control lysate. Compare signal-to-noise ratios across dilutions to identify the optimal concentration that provides robust target detection with minimal background .

  • Blocking optimization: If background remains problematic, systematically test different blocking agents (BSA, milk, commercial blockers) and concentrations to identify optimal conditions for your specific antibody-antigen pair.

  • Incubation parameters: Test different antibody incubation times and temperatures. While overnight incubation at 4°C is commonly used, some antibodies perform better with shorter incubations at room temperature.

  • Control experiments: Always include:

    • Positive control (cell line known to express target)

    • Negative control (knockout cell line or tissue)

    • Secondary antibody-only control to assess non-specific binding

How can I resolve discrepancies between immunofluorescence and Western blot results using ECM13 antibody?

Discrepancies between different applications are common and can provide valuable insights:

  • Epitope accessibility: The three-dimensional protein conformation in fixed cells (IF) versus denatured proteins (WB) can affect epitope accessibility. Consider testing:

    • Alternative fixation methods for IF (paraformaldehyde, methanol, acetone)

    • Different antigen retrieval techniques

    • Antibodies targeting different epitopes of the same protein

  • Cross-reactivity analysis: Perform immunoprecipitation followed by mass spectrometry to identify potential cross-reactive proteins that might explain discrepant results .

  • Validation in knockout systems: Compare results in wild-type versus knockout cells across both techniques to determine which application provides specific detection .

  • Expression level considerations: Western blotting may detect low abundance proteins concentrated from many cells, while IF requires sufficient protein per cell for visualization. Consider protein concentration and detection sensitivity limits of each method.

How can I use ECM13 antibody to identify protein interaction partners?

Antibodies are powerful tools for studying protein-protein interactions:

  • Co-immunoprecipitation optimization:

    • Lysis conditions: Test different lysis buffers to preserve protein interactions (mild non-ionic detergents like NP-40 or Triton X-100 at 0.1-1%)

    • Cross-linking: Consider reversible cross-linking (e.g., DSP, formaldehyde) to capture transient interactions

    • Controls: Include isotype controls and perform reverse co-IPs to confirm interactions

  • Proximity ligation assay (PLA):

    • Use ECM13 antibody in combination with antibodies against suspected interaction partners

    • PLA generates fluorescent signals only when proteins are within 40nm of each other

    • Include appropriate controls (single antibody controls, non-interacting protein pairs)

  • Mass spectrometry analysis:

    • Perform immunoprecipitation with your ECM13 antibody

    • Analyze the immunoprecipitate by mass spectrometry to identify co-precipitating proteins

    • Validate interactions using orthogonal methods (co-IP, PLA)

How can I develop an antibody-drug conjugate (ADC) using ECM13 antibody?

Antibody-drug conjugates represent an advanced application requiring careful optimization:

  • Internalization assessment: Before developing an ADC, confirm that the antibody-antigen complex is efficiently internalized:

    • Fluorescently label the antibody and track internalization by microscopy

    • Quantify internalization rates by flow cytometry with acid wash to remove surface-bound antibody

    • Optimal internalization rates for ADCs are typically in the intermediate range (40-60% internalization after 3-4 hours)

  • Conjugation chemistry selection:

    • Linker type: Choose between cleavable linkers (sensitive to lysosomal conditions) or non-cleavable linkers based on your target biology

    • Conjugation sites: Consider site-specific conjugation methods to maintain antibody binding properties

    • Drug-to-antibody ratio (DAR): Optimize the number of drug molecules per antibody (typically 2-4) to balance potency with pharmacokinetic properties

  • Characterization requirements:

    • Confirm binding affinity is maintained after conjugation

    • Verify drug release mechanisms function as intended

    • Assess stability in physiological conditions

  • Efficacy testing:

    • Compare cytotoxicity in target-positive versus target-negative cell lines

    • Evaluate bystander killing effects if relevant to your application

How can I address inconsistent results when using ECM13 antibody across different experimental batches?

Batch-to-batch variation can significantly impact experimental outcomes:

  • Standardization practices:

    • Create a reference standard from a single large preparation of positive control lysate

    • Test each new antibody lot against this standard

    • Document lot numbers and prepare standard curves for quantitative comparisons

  • Normalization strategies:

    • For Western blots, normalize to multiple housekeeping proteins

    • For immunofluorescence, use fixed exposure settings and internal controls

    • Consider preparing a large batch of control cells and freezing aliquots

  • Statistical approaches:

    • Perform technical replicates (same sample, multiple measurements)

    • Include biological replicates (independent samples)

    • Use appropriate statistical tests to evaluate significance of observed differences

  • Sample preparation consistency:

    • Standardize all protocols (cell culture conditions, lysis methods, protein quantification)

    • Prepare fresh reagents at consistent intervals

    • Document all deviations from standard protocols

How should I analyze and interpret antibody NGS data for epitope mapping of ECM13 antibody?

Next-generation sequencing provides powerful insights into antibody properties:

  • Data preprocessing workflow:

    • Quality control/trimming of raw reads

    • Assembly and merging of paired-end data

    • Sequence annotation and validation

  • Analysis strategies:

    • Cluster sequences based on similarity

    • Filter sequences according to specific criteria

    • Compare datasets to identify enriched sequences

  • Visualization approaches:

    • Generate scatter plots to identify outliers and sequence distribution

    • Create amino acid composition plots to examine variability

    • Use heat maps to show relationships between genes in sequences

  • Interpretation considerations:

    • Identify high-level trends in large-scale datasets

    • Drill down to examine individual sequences of interest

    • Compare results across different experimental conditions

How can I use ECM13 antibody to study cellular differentiation pathways?

Antibodies can be powerful tools for studying cellular differentiation:

  • Tracking protein expression changes:

    • Design time-course experiments to monitor protein expression during differentiation

    • Combine with phospho-specific antibodies to track signaling pathway activation

    • Use flow cytometry for quantitative analysis of protein expression at the single-cell level

  • Functional manipulation:

    • Evaluate agonist potential of antibodies to induce differentiation

    • Test blocking antibodies to inhibit specific signaling pathways

    • Compare effects of antibodies targeting different epitopes

  • Combinatorial approaches:

    • Use antibody cocktails to simultaneously target multiple pathways

    • Combine with small molecule inhibitors to probe pathway redundancy

    • Apply unbiased screening approaches to identify novel regulators

  • Single-cell analysis:

    • Use antibodies for cell sorting prior to single-cell sequencing

    • Apply computational algorithms to identify differentiation trajectories

    • Validate findings with functional assays using purified antibodies

What considerations are important when designing ECM13 antibody-based targeting for tumor therapy?

Therapeutic antibody development requires careful consideration of target biology:

  • Target expression profiling:

    • Comprehensively profile target expression across normal and tumor tissues

    • Evaluate expression on tumor vasculature and tumor-associated cells

    • Consider accessibility of targets in solid tumors versus hematologic malignancies

  • Internalization kinetics optimization:

    • Measure antibody internalization rates in relevant cell types

    • Consider that excessively fast internalization may impair tumor penetration

    • Aim for intermediate internalization rates (similar to successful ADCs like Mylotarg)

  • Potential toxicity assessment:

    • Map expression patterns in normal tissues, particularly those with vital functions

    • Consider inaccessible expression (e.g., luminal expression in digestive tract) versus accessible expression

    • Evaluate cross-reactivity with related proteins in normal tissues

  • Patient stratification markers:

    • Identify biomarkers that correlate with target expression

    • Consider developing companion diagnostics for patient selection

    • Integrate expression data with clinical outcomes to identify responder populations

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