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Anna-Lena Heins

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Articles 14
Citations 116
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Recent Articles
1.
Nguyen T, Meleski L, Belavatta M, Gurumoorthi S, Zhang C, Heins A, et al.
Eng Life Sci . 2025 Jan; 25(1):e202400026. PMID: 39801562
is a microorganism for production of 1,3-propanediol (1,3-PDO) and butanol, but suffers from lacking genetic tools for metabolic engineering to improve product titers. Furthermore, previous studies of have mainly focused...
2.
Hoang M, Polte I, Frantzmann L, von den Eichen N, Heins A, Weuster-Botz D
Microb Cell Fact . 2023 Aug; 22(1):153. PMID: 37574555
Background: The omnipresence of population heterogeneity in industrial bioprocesses originates from prevailing dynamic bioprocess conditions, which promote differences in the expression of cellular characteristics. Despite the awareness, the concrete consequences...
3.
Hoang M, Riessner S, Oropeza Vargas J, von den Eichen N, Heins A
Microorganisms . 2023 Jul; 11(7). PMID: 37512936
When targeting robust, high-yielding bioprocesses, phenomena such as population heterogeneity have to be considered. Therefore, the influence of the conditions which the cells experience prior to the main culture should...
4.
Hoang M, Doan D, Schmidt M, Kranz H, Kremling A, Heins A
Eng Life Sci . 2023 Jan; 23(1):e2100162. PMID: 36619877
Biotechnological production processes are sustainable approaches for the production of biobased components such as amino acids for food and feed industry. Scale-up from ideal lab-scale bioreactors to large-scale processes is...
5.
Heins A, Hoang M, Weuster-Botz D
Eng Life Sci . 2022 Apr; 22(3-4):260-278. PMID: 35382548
Flow cytometry and its technological possibilities have greatly advanced in the past decade as analysis tool for single cell properties and population distributions of different cell types in bioreactors. Along...
6.
Doan D, Hoang M, Heins A, Kremling A
Front Mol Biosci . 2022 Mar; 9:806213. PMID: 35350716
Mathematical modeling is a promising tool for better understanding of cellular processes. In recent years, the development of coarse-grained models has gained attraction since these simple models are able to...
7.
Heins A, Reyelt J, Schmidt M, Kranz H, Weuster-Botz D
Microb Cell Fact . 2020 Jan; 19(1):14. PMID: 31992282
Background: Today there is an increasing demand for high yielding robust and cost efficient biotechnological production processes. Although cells in these processes originate from isogenic cultures, heterogeneity induced by intrinsic...
8.
Heins A, Johanson T, Han S, Lundin L, Carlquist M, Gernaey K, et al.
Front Bioeng Biotechnol . 2019 Aug; 7:187. PMID: 31448270
Microbial cells in bioprocesses are usually described with averaged parameters. But in fact, single cells within populations vary greatly in characteristics such as stress resistance, especially in response to carbon...
9.
Heins A, Lundin L, Nunes I, Gernaey K, Sorensen S, Lantz A
Biotechnol Prog . 2019 Mar; 35(3):e2796. PMID: 30816011
Acetate as the major by-product in industrial-scale bioprocesses with Escherichia coli is found to decrease process efficiency as well as to be toxic to cells, which has several effects like...
10.
Heins A, Weuster-Botz D
Bioprocess Biosyst Eng . 2018 Mar; 41(7):889-916. PMID: 29541890
Population heterogeneity is omnipresent in all bioprocesses even in homogenous environments. Its origin, however, is only so well understood that potential strategies like bet-hedging, noise in gene expression and division...