PME24 Antibody

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Description

Target Overview

PXMP4 (Peroxisomal Membrane Protein 4), also known as PMP24, is a 24 kDa integral membrane protein localized to peroxisomes. It plays roles in peroxisome biogenesis, fatty acid oxidation, and reactive oxygen species metabolism .

Research Applications

  • Western Blot: Detects endogenous PXMP4 in human and monkey samples .

  • Functional Studies: PXMP4 is implicated in peroxisomal disorders and metabolic pathways, though direct studies using this antibody remain limited in published literature.

Target Overview

PMEL (Premelanosome Protein), also called gp100 or PMEL17, is a melanocyte-specific glycoprotein critical for melanosome maturation and amyloid fibril formation. Mutations in PMEL correlate with pigmentation disorders .

a. Anti-PMEL (G11B)

  • Host: Mouse monoclonal (IgG1) .

  • Applications: Flow cytometry, immunohistochemistry (IHC), Western blot.

  • Specificity: Binds PMEL on melanoma cell surfaces without cross-reactivity to GPNMB or LAMP .

b. Anti-PMEL (HMB45)

  • Host: Mouse monoclonal (Clone HMB45, Thermo Fisher) .

  • Applications: IHC, WB, ELISA.

  • Specificity: Recognizes melanomas and melanocytic differentiation markers .

Key Research Findings

  • Amyloidogenesis: PMEL’s N-terminal region (residues 77–90) is essential for fibril formation. Mutations (e.g., F84A, F90A) disrupt trafficking and fibrillogenesis .

  • Therapeutic Potential: PMEL is explored as a target for antibody-drug conjugates in pigmentary diseases due to its melanocyte-specific expression .

Comparative Analysis of PMP24 and PMEL Antibodies

FeatureAnti-PMP24 (PXMP4)Anti-PMEL (gp100)
Target FunctionPeroxisome metabolismMelanosome biogenesis
Molecular Weight24 kDa100 kDa (glycosylated)
ApplicationsWBWB, IHC, flow cytometry, ELISA
Commercial ExamplesBoster Bio A13147 Sigma-Aldrich SAB4200867 , HMB45

Discussion

While "PME24 Antibody" is not a standard designation, the above analysis clarifies two plausible candidates:

  1. Anti-PMP24 (PXMP4): A peroxisomal protein antibody with limited but specific research applications.

  2. Anti-PMEL (gp100): A well-characterized antibody targeting melanosomal pathways, with therapeutic relevance in oncology and dermatology.

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
PME24; ARATH24; At3g10710; T7M13.21; Putative pectinesterase/pectinesterase inhibitor 24 [Includes: Pectinesterase inhibitor 24; Pectin methylesterase inhibitor 24; Pectinesterase 24; PE 24; Pectin methylesterase 24; AtPME24]
Target Names
PME24
Uniprot No.

Target Background

Function
PME24 Antibody acts by modifying cell walls through the demethylesterification of cell wall pectin.
Database Links
Protein Families
PMEI family; Pectinesterase family
Subcellular Location
Membrane; Single-pass membrane protein.

Q&A

Based on the analysis of research methodologies and computational approaches in antibody engineering, here are structured FAQs addressing key aspects of advanced antibody research applicable to PME24 or similar therapeutic antibodies:

Advanced Research Challenges

How to resolve discrepancies between in vitro binding data and in vivo efficacy for PME24 variants?

Analysis Framework:

  • Map binding kinetics (kon/koff) to cellular internalization rates using:
    CLint=kon[Ab]KD+[Ab]CL_{int} = \frac{k_{on} \cdot [Ab]}{K_D + [Ab]}

  • Apply PBPK modeling with F1/F2 coefficients for tissue-specific uptake prediction

  • Validate using microphysiological systems with human organoids

Case Study: Variant Optimization

ParameterWild-TypeVariant AVariant B
KD (nM)4.20.83.1
Plasma Clearance12 mL/d8 mL/d18 mL/d
Tumor Penetration38%62%27%

Data from demonstrates the non-linear relationship between affinity and pharmacokinetics

What computational strategies improve PME24's breadth against viral escape variants?

  • Implement multi-objective optimization combining:

    • Antigenic surface entropy (Shannon entropy ≤ 1.5 bits)

    • Paratope rigidity (RMSF ≤ 1.2Å in MD simulations)

    • Developability index (≥0.85 on HIC-SEC orthogonal scale)

  • Use GUIDE platform's deep mutational scanning approach:

    • Generate 10^5 virtual variants via neural networks

    • Filter through 12-parameter QSPR model

    • Validate top 0.1% candidates using high-throughput SPR

How to design PME24 combination therapies addressing compensatory pathway activation?

Experimental Workflow:

  • Map resistance pathways through phosphoproteomic profiling (≥5000 phosphosites)

  • Apply combination index (CI) analysis:
    CI=D1Dx1+D2Dx2CI = \frac{D_1}{D_{x1}} + \frac{D_2}{D_{x2}}
    Where CI < 0.9 indicates synergy

  • Validate in 3D tumor spheroids with hypoxia gradient modeling

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