Additional file 1 of The knowledge driven DBTL cycle provides mechanistic insights while optimising dopamine production in Escherichia coli

Supplementary Material 1: S1. Primer used in this study. S2. DNA sequences of the extracted genes (hpaBC, ddc). S3: Library of different high throughput constructs and the different RBS sequences of hpaBC and ddc. S4. Host strain construction of E. coli FUS4.T1 and FUS4.T2. S5. Overview of the semi-automated DBTL workflow. S6. Evaluation of different RBS combinations. S7: Proteomics data.

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Publication Details

Journal
Figshare
Published
2025-01-01
DOI
https://doi.org/10.6084/m9.figshare.29091553
Primary Topic
Bacterial Genetics and Biotechnology
Type
article
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0.00
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article

Additional file 1 of The knowledge driven DBTL cycle provides mechanistic insights while optimising dopamine production in Escherichia coli

Figshare
Bacterial Genetics and Biotechnology
article

Additional file 1 of The knowledge driven DBTL cycle provides mechanistic insights while optimising dopamine production in Escherichia coli

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Abstract

Supplementary Material 1: S1. Primer used in this study. S2. DNA sequences of the extracted genes (hpaBC, ddc). S3: Library of different high throughput constructs and the different RBS sequences of hpaBC and ddc. S4. Host strain construction of E. coli FUS4.T1 and FUS4.T2. S5. Overview of the semi-automated DBTL workflow. S6. Evaluation of different RBS combinations. S7: Proteomics data.

Figshare
University of Stuttgart (DE), A.E. Arbuzov Institute of Organic and Physical Chemistry (RU)
Openalex Percentile: Top 47%
Bacterial Genetics and Biotechnology
DOIOpen Access PDFOpenAlex
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Additional file 1 of The knowledge driven DBTL cycle provides mechanistic insights while optimising dopamine production in Escherichia coli · Figshare (2025) | TGRS Research Map | TGRS