2023
DOI: 10.1016/j.crmeth.2023.100440
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Quantitative chemometric phenotyping of three-dimensional liver organoids by Raman spectral imaging

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Cited by 13 publications
(12 citation statements)
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“…Although tissue models based on human donor material still represent the gold standard for functional and/or metabolic studies, hPSC-derived organoids start to resemble adult functionality and metabolic features thus rendering them suitable for disease modeling while offering better scalability and long-term stability in culture. [105] Throughout a series of improvements, we and others have obtained pluripotent stem cell-derived sc-islets [49,106,107] and sc-liver organoids [54,62,[108][109][110] that approach adult metabolic Figure 7. Anti-diabetic drug testing on-chip.…”
Section: Discussionmentioning
confidence: 99%
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“…Although tissue models based on human donor material still represent the gold standard for functional and/or metabolic studies, hPSC-derived organoids start to resemble adult functionality and metabolic features thus rendering them suitable for disease modeling while offering better scalability and long-term stability in culture. [105] Throughout a series of improvements, we and others have obtained pluripotent stem cell-derived sc-islets [49,106,107] and sc-liver organoids [54,62,[108][109][110] that approach adult metabolic Figure 7. Anti-diabetic drug testing on-chip.…”
Section: Discussionmentioning
confidence: 99%
“…Sc-liver organoids were generated using a previously published 10-step protocol, [53,54] which includes an aggregation step at the stage of hepatic progenitors, ensuring the formation of uniform-size organoids of 150-200 μm in diameter (Figure 4a). Sc-liver organoids were benchmarked to freshly thawed primary human hepatocytes (PHH) characterized by the expression of hepatocytes-specific markers including hepatocyte nuclear factor 4 alpha (HNF4a), genes involved in glucose metabolism including glucose transporter 2 (GLUT2), glucose-6-phosphatase, catalytic subunit (G6PC), and cytochrome P450 genes including CYP3A4, CYP2B6 and CYP2C9 (Figure 4b).…”
Section: Generation Of Sc-islet Organoids and Sc-liver Organoidsmentioning
confidence: 99%
“…Later, they developed a quantitative Ramanomics (qRamanomics) approach for detailed analysis of 3D liver models in response to drug exposure. 152 Their approach involves a robust dataprocessing and calibration pipeline, allowing the label-free, multifactorial, chemometric phenotyping of biospecimens through confocal Raman imaging. With qRamanomics, they compared drug response of 3D primary human hepatocytes (3D PHH) and induced hepatocyte-like cells (3D iHLC), revealing distinct differences in lipid distribution and colocalization of other major biomolecules across drug treatment (Figure 5a).…”
Section: ■ Imaging Drug Response Through Biochemical and Metabolic Ch...mentioning
confidence: 99%
“…Using an inkjet printer to deposit biomolecular components to make microarrays across the surface of silicon chips, the authors were able to monitor the phospholipidosis of cells treated with amiodarone. Later, they developed a quantitative Ramanomics (qRamanomics) approach for detailed analysis of 3D liver models in response to drug exposure . Their approach involves a robust data-processing and calibration pipeline, allowing the label-free, multifactorial, chemometric phenotyping of biospecimens through confocal Raman imaging.…”
Section: Imaging Drug Response Through Biochemical and Metabolic Changesmentioning
confidence: 99%
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