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AntigenApp: a laboratory data management system for nanobody generation and sequence analysis.

Alexander L R Lubbock1, Lauren E-A Eyssen1, Kelly Parker1

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AntigenApp is a new laboratory data management system designed to streamline nanobody generation and sequence analysis. This tool aids researchers in managing experimental data and performing essential analyses for nanobody discovery.

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Area of Science:

  • Biotechnology
  • Immunology
  • Bioinformatics

Background:

  • Nanobodies are single-domain antibodies from camelids with diverse bioscience applications, including diagnostics and imaging.
  • The generation of nanobodies is a complex, multi-step experimental process.

Purpose of the Study:

  • To introduce AntigenApp, a laboratory data management system for nanobody generation and sequence analysis.
  • To provide a centralized platform for capturing and analyzing data throughout the nanobody discovery pipeline.

Main Methods:

  • Developed AntigenApp as a web application and database.
  • Integrated data capture for ELISA optical density, sequencing results, and nanobody domain labeling.
  • Incorporated Protein BLAST for search and clustering capabilities.

Main Results:

  • AntigenApp captures experimental data from nanobody discovery.
  • The system offers built-in analysis tools, including BLAST.
  • A standardized naming convention is automatically applied to stored nanobodies.

Conclusions:

  • AntigenApp facilitates efficient nanobody generation and data analysis.
  • The tool is designed for in-house use by the nanobody research community.
  • This system supports the broader application of nanobodies in biosciences.