4.8 Article

Spatially resolved isotope tracing reveals tissue metabolic activity

期刊

NATURE METHODS
卷 19, 期 2, 页码 223-+

出版社

NATURE PORTFOLIO
DOI: 10.1038/s41592-021-01378-y

关键词

-

资金

  1. National Institutes of Health [1DP1DK113643]
  2. Paul G. Allen Family Foundation [0034665]
  3. Rutgers Cancer Institute of New Jersey New Investigator Award from the Cancer Center Support Grant [P30 CA072720]

向作者/读者索取更多资源

Isotope imaging enables quantification of metabolic activity in mammalian tissues with spatial resolution, revealing metabolic heterogeneity in the kidney and brain and spatial gradients in metabolic processes.
Isotope tracing has helped to determine the metabolic activities of organs. Methods to probe metabolic heterogeneity within organs are less developed. We couple stable-isotope-labeled nutrient infusion to matrix-assisted laser desorption ionization imaging mass spectrometry (iso-imaging) to quantitate metabolic activity in mammalian tissues in a spatially resolved manner. In the kidney, we visualize gluconeogenic flux and glycolytic flux in the cortex and medulla, respectively. Tricarboxylic acid cycle substrate usage differs across kidney regions; glutamine and citrate are used preferentially in the cortex and fatty acids are used in the medulla. In the brain, we observe spatial gradations in carbon inputs to the tricarboxylic acid cycle and glutamate under a ketogenic diet. In a carbohydrate-rich diet, glucose predominates throughout but in a ketogenic diet, 3-hydroxybutyrate contributes most strongly in the hippocampus and least in the midbrain. Brain nitrogen sources also vary spatially; branched-chain amino acids contribute most in the midbrain, whereas ammonia contributes in the thalamus. Thus, iso-imaging can reveal the spatial organization of metabolic activity. Iso-imaging integrates stable-isotope infusions with imaging mass spectrometry to enable quantitative analysis of metabolic activity in mammalian tissues with spatial resolution. IsoScope software facilitates analysis of iso-imaging data.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据