Expression Burden Analysis is a quantitative framework in protein expression engineering that assesses the metabolic and cellular costs imposed by recombinant protein production on host organisms, distinguishing itself by integrating resource allocation trade-offs and growth dynamics to evaluate the physiological impact of heterologous expression.
12
Publications
1.3K
Citations
52
Authors
22
Institutions
Publications per year
2017–2026
7
Publications
12
Quantifying cellular capacity identifies gene expression designs with reduced burden
Francesca Ceroni, Rhys Algar, Guy‐Bart Stan et al. · Nature Methods · 2015 · 534 citations
Cell-free prediction of protein expression costs for growing cells
Olivier Borkowski, Carlos Bricio, Michela Murgiano et al. · Nature Communications · 2018 · 120 citations · Full text
1–5 of 12
Authors
52
- GS
4
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- TE
3
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- OB
2
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- KK
2
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- HM
2
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1–5 of 52
Institutions
22
Imperial College London
London, United Kingdom
4 h-index
16 publications
3.1K citations
Indian Institute of Technology Delhi
New Delhi, India
2 h-index
3 publications
175 citations
Okayama University
Okayama, Japan
2 h-index
7 publications
375 citations
Meiji University
Tokyo, Japan
2 h-index
3 publications
200 citations
RIKEN Center for Sustainable Resource Science
Yokohama, Japan
1 h-index
1 publications
30 citations
J.C. Bose University of Science & Technology, YMCA
Faridabad, India
1 h-index
1 publications
37 citations
The University of Tokyo
Tokyo, Japan
1 h-index
2 publications
60 citations
Center for Advanced Biomaterials for Healthcare
Naples, Italy
1 h-index
1 publications
170 citations
1–8 of 22
Venues
- Nature Communications
2 publications · 290 citations
2
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- Scientific Reports
2 publications · 76 citations
2
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- eLife
2 publications · 115 citations
2
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- Biotechnology Letters
1 publications · 69 citations
1
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- PLoS ONE
1 publications · 39 citations
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