Quantitative Chemometric Phenotyping of Three-dimensional Liver Organoids by Raman Spectral Imaging

Overview

Journal Cell Rep Methods

Specialty Cell Biology

Date 2023 May 9

PMID 37159662

Authors

Vernon LaLone

Aleksandra Aizenshtadt

John Goertz

Froydis Sved Skottvoll

Marco Barbero Mota

Junji You

Xiaoyu Zhao

Henriette Engen Berg

Justyna Stokowiec

Minzhi Yu

Anna Schwendeman

Hanne Scholz

Steven Ray Wilson

Stefan Krauss

Molly M Stevens

Affiliations

Soon will be listed here.

Abstract

Confocal Raman spectral imaging (RSI) enables high-content, label-free visualization of a wide range of molecules in biological specimens without sample preparation. However, reliable quantification of the deconvoluted spectra is needed. Here we develop an integrated bioanalytical methodology, qRamanomics, to qualify RSI as a tissue phantom calibrated tool for quantitative spatial chemotyping of major classes of biomolecules. Next, we apply qRamanomics to fixed 3D liver organoids generated from stem-cell-derived or primary hepatocytes to assess specimen variation and maturity. We then demonstrate the utility of qRamanomics for identifying biomolecular response signatures from a panel of liver-altering drugs, probing drug-induced compositional changes in 3D organoids followed by monitoring of drug metabolism and accumulation. Quantitative chemometric phenotyping constitutes an important step in developing quantitative label-free interrogation of 3D biological specimens.

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