Longitudinal Single‐Cell Imaging of Engineered Strains with Stimulated Raman Scattering to Characterize Heterogeneity in Fatty Acid Production
Abstract: Understanding metabolic heterogeneity is critical for optimizing microbial production of valuable chemicals, but requires tools that can quantify metabolites at the single‐cell level over time. Here, longitudinal hyperspectral stimulated Raman scattering (SRS) chemical imaging is developed to directly visualize free fatty acids in engineered Escherichia coli over many cell cycles. Compositional analysis is also developed to estimate the chain length and unsaturation of the fatty acids in living cells. This method reveals substantial heterogeneity in fatty acid production among and within colonies that emerges over the course of many generations. Interestingly, the strains display distinct types of production heterogeneity in an enzyme‐dependent manner. By pairing time‐lapse and SRS imaging, the relationship between growth and production at the single‐cell level are examined. The results demonstrate that cell‐to‐cell production heterogeneity is pervasive and provides a means to link single‐cell and population‐level production.
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Erschienen in
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Longitudinal Single‐Cell Imaging of Engineered Strains with Stimulated Raman Scattering to Characterize Heterogeneity in Fatty Acid Production ; day:08 ; month:06 ; year:2023 ; extent:15
Advanced science ; (08.06.2023) (gesamt 15)
- Urheber
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Tague, Nathan
Lin, Haonan
Lugagne, Jean‐Baptiste
O'Connor, Owen M.
Burman, Deeya
Wong, Wilson W.
Cheng, Ji‐Xin
Dunlop, Mary J.
- DOI
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10.1002/advs.202206519
- URN
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urn:nbn:de:101:1-2023060815245266924229
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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14.08.2025, 10:48 MESZ
Datenpartner
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Tague, Nathan
- Lin, Haonan
- Lugagne, Jean‐Baptiste
- O'Connor, Owen M.
- Burman, Deeya
- Wong, Wilson W.
- Cheng, Ji‐Xin
- Dunlop, Mary J.
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