Chemical engineering: a root of systems biology and its impacts on biology, biotechnology, and medicine

Jens Nielsen

Front. Chem. Sci. Eng. ›› 2025, Vol. 19 ›› Issue (10) : 100

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Front. Chem. Sci. Eng. ›› 2025, Vol. 19 ›› Issue (10) : 100 DOI: 10.1007/s11705-025-2597-3
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Chemical engineering: a root of systems biology and its impacts on biology, biotechnology, and medicine

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Jens Nielsen. Chemical engineering: a root of systems biology and its impacts on biology, biotechnology, and medicine. Front. Chem. Sci. Eng., 2025, 19(10): 100 DOI:10.1007/s11705-025-2597-3

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References

[1]

Bird R B , Stewart W E , Lightfoot E N . Transport Phenomena. Hoboken: John Wiley & Sons, 1960,

[2]

Aris R . Vectors, Tensors, and the Basic Equations of Fluid Mechanics. Sudbury: Prentice-Hall, 1962,

[3]

Aris R . Elementary Chemical Reactor Analysis. Sudbury: Prentice-Hall, 1965,

[4]

Tsuchiya H M , Fredrickson A G , Aris R . Dynamics of microbial cell populations. Advances in Chemical Engineering, 1966, 6: 125–206

[5]

NielsenJVilladsenJ. Bioreaction Engineering Principles. Cambridge: Academic Press, 1994

[6]

Klipp E , Nordlander B , Krüger R , Gennemark P , Hohmann S . Integrative model of the response of yeast to osmotic shock. Nature Biotechnology, 2005, 23(8): 975–982

[7]

Karr J R , Sanghvi J C , Macklin D N , Gutschow M V , Jacobs J M , Bolival B Jr , Assad-Garcia N , Glass J I , Covert M W . A whole-cell computational model predicts phenotype from genotype. Cell, 2012, 150(2): 389–401

[8]

Nielsen J , Petranovic D . Modeling for understanding and engineering metabolism. QRB Discovery, 2025, 6: e11

[9]

Lu H , Li F , Yuan L , Domenzain I , Yu R , Wang H , Li G , Chen Y , Ji B , Kerkhoven E J . . Yeast metabolic innovations emerged via expanded metabolic network and gene positive selection. Molecular Systems Biology, 2021, 17(10): e10427

[10]

Wang H , Robinson J L , Kocabas P , Gustafsson J , Anton M , Cholley P E , Huang S , Gobom J , Svensson T , Uhlen M . . Genome-scale metabolic network reconstruction of model animals as a platform for translational research. Proceedings of the National Academy of Sciences of the United States of America, 2021, 118(30): e2102344118

[11]

Nielsen J , Tillegreen C B , Petranovic D . Innovation trends in industrial biotechnology. Trends in Biotechnology, 2022, 40(10): 1160–1172

[12]

Gatto F , Nookaew I , Nielsen J . Chromosome 3p loss of heterozygosity is associated with a unique metabolic network in clear cell renal carcinoma. Proceedings of the National Academy of Sciences of the United States of America, 2014, 111(9): E866–E875

[13]

Gatto F , Nookaew I , Nilsson H , Maruzzo M , Roma A , Johansson M E , Steiner U , Lundstam S , Volpi N , Basso U . . Measurements of glycosaminoglycans in plasma and urine for diagnosis of clear cell renal cell carcinoma. Cell Reports, 2016, 15: 1–15

[14]

Bratulic S , Limeta A , Dabestani S , Birgisson H , Enblad G , Stålberg K , Hesselager G , Häggman M , Höglund M , Simonson O E . . Noninvasive detection of any-stage cancer using free glycosaminoglycans. Proceedings of the National Academy of Sciences of the United States of America, 2022, 119(50): e2115328119

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The Author(s) 2025. This article is published with open access at link.springer.com and journal.hep.com.cn

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