Linking Engineered Cells to Their Digital Twins: A Version Control System for Strain Engineering
- Submitting institution
-
University of Newcastle upon Tyne
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 265753-161494-1292
- Type
- D - Journal article
- DOI
-
10.1021/acssynbio.9b00400
- Title of journal
- ACS synthetic biology
- Article number
- -
- First page
- 536
- Volume
- 9
- Issue
- 3
- ISSN
- 2161-5063
- Open access status
- Compliant
- Month of publication
- February
- Year of publication
- 2020
- URL
-
https://doi.org/10.1021/acssynbio.9b00400
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
5
- Research group(s)
-
B - Interdisciplinary Computing and Complex Biosystems (ICOS)
- Citation count
- 4
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Biotechnologists, whose work is similar to programmers (except that they program living organisms by altering their DNA), utilise suboptimal solutions for tracking their genetic programs and living samples; they lack a tailor-made version control system. In this paper, we introduce the first digital twining and version control system for living cells that rely on a new bio-orthogonal barcoding technique to physically link cell lines to their digital footprint. This work contributes to enhancing reproducibility in science, answer issues of fragmented documentation, mislabelled samples and lack of traceability of engineered cell lines. A startup is being set up to commercialise this.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -