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Versioning biological cells for trustworthy cell engineering.

Jonathan Tellechea-Luzardo1, Leanne Hobbs1, Elena Velázquez2

  • 1Interdisciplinary Computing and Complex Biosystems (ICOS) Research Group, Newcastle University, Newcastle Upon Tyne, NE4 5TG, UK.

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Summary
This summary is machine-generated.

A new cloud-based system provides version control for biotechnology, linking digital data to living cell samples. This enhances traceability and trustworthiness in engineering biology, making research more open and reproducible.

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Area of Science:

  • Biotechnology
  • Synthetic Biology
  • Bioinformatics

Background:

  • Full-stack biotechnology platforms for cell line reprogramming are emerging.
  • Advances in gene synthesis, editing, and integration with informatics drive this progress.
  • Traceability and trustworthiness are crucial for engineered cell lines and processes.

Purpose of the Study:

  • To develop a cloud-based version control system for biotechnology.
  • To organize digital data from cell engineering and link it to living samples.
  • To enhance transparency and reproducibility in engineering biology.

Main Methods:

  • Implementation of a cloud-based version control system.
  • Development of barcoding protocols for molecular linking.
  • Application to six species, including bacteria and eukaryote cells.

Main Results:

  • The system effectively tracks and organizes digital data from cell engineering.
  • Molecular links were established between digital data and living cell samples.
  • Protocols were demonstrated across diverse species.

Conclusions:

  • Version control is a significant step toward open and reproducible engineering biology.
  • The system improves traceability, sharing, and trustworthiness of engineered cell lines.
  • This approach supports the acceleration of biological product development.