Towards mapping mouse metabolic tissue atlas by mid-infrared imaging with heavy water labeling

Xinwen Liu; Lixue Shi; Wei Min

doi:10.1117/12.2608014

2 March 2022 Towards mapping mouse metabolic tissue atlas by mid-infrared imaging with heavy water labeling

Xinwen Liu, Lixue Shi, Wei Min

Proceedings Volume PC11973, Advanced Chemical Microscopy for Life Science and Translational Medicine 2022; PC1197315 (2022) https://doi.org/10.1117/12.2608014
Event: SPIE BiOS, 2022, San Francisco, California, United States

Abstract

Understanding metabolism is of great significance to decipher various physiological and pathogenic processes. While great progress has been made to profile gene expression, how to capture organ-, tissue-, and cell-type-specific metabolic profile (i.e. metabolic tissue atlas) in complex mammalian systems is lagging behind, largely owing to the lack of metabolic imaging tools with high resolution and high throughput. Here, we applied mid-infrared imaging coupled with heavy water (D2O) metabolic labeling to a scope of mouse organs and tissues. Our premise is that, as D2O participates in the biosynthesis of various macromolecules, the resulting broad C-D vibrational spectrum should interrogate a wide range of metabolic pathways. Applying multivariate analysis to the C-D spectrum, we successfully identified both inter-organ and intra-tissue metabolic signatures of mice. A large-scale metabolic atlas map between different organs from the same mice was thus generated. Moreover, leveraging the power of unsupervised clustering methods, spatially-resolved metabolic signatures of brain tissues were discovered, revealing tissue and cell-type specific metabolic profile in situ. As a demonstration of this technique, we characterized metabolic changes during brain development and captured intratumoral metabolic heterogeneity of glioblastoma. Altogether, the integrated platform paves a way to map the metabolic tissue atlas for complex mammalian systems.

Conference Presentation

Citation Download Citation

Xinwen Liu, Lixue Shi, and Wei Min "Towards mapping mouse metabolic tissue atlas by mid-infrared imaging with heavy water labeling", Proc. SPIE PC11973, Advanced Chemical Microscopy for Life Science and Translational Medicine 2022, PC1197315 (2 March 2022); https://doi.org/10.1117/12.2608014

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KEYWORDS

Infrared imaging

Tissues

FT-IR spectroscopy

Proteins

Brain

Imaging systems

Infrared radiation

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