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Epitope Mapping on a Microfluidic Peptide Microarray

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Creative Biolabs provides high throughput and specific, but cost-effective, comprehensive epitope mapping services. We created our high-density peptide microarrays for high throughput detection, concentration titration, and screening applications, in combination of the flexibility of customizable parallel synthesis and high data quality of microfluidic technologies.

Our Microfluidic Peptide Microarray can also be applied for, but is not limited to:

  1. Identify specific substrate for a known antibody
  2. Identify immunodominant regions in antigens
  3. Make quantitative measurement of binding curves
  4. Perform multiplex antigen binding assays

Figure 1: Principle of microarray technology (Adapted with modification from Chandra K. Dixit and Gerson R. Aguirre, Protein microarrays with novel microfluidic methods: current advances. Microarrays, 2014, 3, 180-202; doi:10.3390/microarrays 3030180)

Our microfluidic platform provides effective and accurate identification of antibody or other protein: protein binding epitopes as well as their characterization at the amino acid level. It is extensively used in identification of specific substrate for a known antibody and identification of immunodominant regions in antigens. Additionally, it can also be applied in quantitative measurement of binding curves and perform multiplex antigen binding assays.

Mapping epitope on the microfluidic platform help us to understand the specificity of a given antibody, which enables optimizing their use in research and medical diagnostic and therefore improves their application as therapeutic agents. Creative Biolabs uses microfluidic technology in conjugation with flexible customizable parallel synthesis, which can provide high precision of identification the recognition elements in restricted micrometer scale areas. Additionally, it also saves valuable time and materials.

References: Chandra K. Dixit and Gerson R. Aguirre, Protein microarrays with novel microfluidic methods: current advances. Microarrays, 2014, 3, 180-202; doi:10.3390/microarrays 3030180


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