Carbon 13 Metabolic Imaging
Carbon 13 Metabolic Imaging - Related Videos
11:43
Hyperpolarized 13C Metabolic Magnetic Resonance Spectroscopy and Imaging
0 Views •
Cited by 7 •
2016
Dynamic nuclear polarization with subsequent sample dissolution has enabled real-time studies of metabolism in biological systems. Hyperpolarized [1-13C]pyruvate was used to study lactate dehydrogenase activity in a prostate carcinoma cell line in vitro.
07:26
Metabolic Pathway Confirmation and Discovery Through 13C-labeling of Proteinogenic Amino Acids
0 Views •
Cited by 53 •
2012
13C-isotope labeling is a useful technique for determining the cell central metabolism for various types of microorganisms. After cells have been cultured with a specific labeled substrate, GC-MS measurement can reveal functional metabolic pathways based on unique labeling patterns in proteinogenic amino acids.
01:10
Carbon-13 (¹³C) NMR: Overview
0 Views •
2024
Carbon-13 is a naturally occurring NMR-active isotope of carbon with a low natural abundance of 1.1%. In contrast, carbon-12 is the most abundant isotope of carbon with zero nuclear spin. Therefore, it is NMR inactive. The gyromagnetic ratio of carbon-13 is smaller than that of protons. As a result, carbon-13 resonance is about 6000 times weaker than proton resonance. For a given magnetic field strength, the resonance frequency of carbon-13 is about one-fourth of the resonance frequency for...
10:16
Design and Operation of a Continuous 13C and 15N Labeling Chamber for Uniform or Differential, Metabolic and Structural, Plant Isotope Labeling
0 Views •
Cited by 39 •
2014
This method explains how to build and operate a continuous 13C and 15N isotope labeling chamber for uniform or differential plant tissue labeling. Representative results from metabolic and structural labeling of Andropogon gerardii are discussed.
11:14
Fatty Acid 13C Isotopologue Profiling Provides Insight into Trophic Carbon Transfer and Lipid Metabolism of Invertebrate Consumers
0 Views •
Cited by 6 •
2018
The fatty acid trophic marker approach, i.e., the assimilation of fatty acids as entire molecule and transfer into consumer tissue with no or minor modification, is hampered by knowledge gaps in fatty acid metabolism of small soil invertebrates. Isotopologue profiling is provided as a valuable tool to disentangle trophic interactions.
FAQs
They provide labeled carbon substrates whose fate can be followed as they move through downstream metabolic pathways. In cancer imaging, pyruvate serves as an example, and its conversion into lactate supplies a measurable metabolic signal. Because these changes are captured in real time, the approach can assess metabolic activity rather than relying only on tissue structure.
The pyruvate-to-lactate conversion links a detected downstream metabolite to how tissue processes a carbon-containing nutrient. Comparing this signal across regions can reveal metabolic differences between healthy and malignant tissue. The resulting information complements anatomical imaging by showing functional variation that may not be apparent from structural features alone.
Magnetic resonance detection records metabolic conversions while preserving spatial information about where they occur. This combination allows researchers to relate a biochemical signal, such as downstream lactate production, to particular tissue regions. Spatially resolved measurements therefore support comparisons within a tumor and between malignant and healthy areas, rather than providing only a whole-tissue metabolic average.
The process begins by introducing a hyperpolarized 13C-labeled compound, such as pyruvate, into the body. Magnetic resonance imaging then detects the labeled material and its rapid conversion into downstream metabolites. The resulting measurements are interpreted as spatially localized metabolic information, allowing investigators to examine how different tissues process the introduced carbon source.
Researchers can use the method when anatomical images alone do not show enough about tumor function. Measurements of altered metabolism may help distinguish malignant from healthy tissue and provide a way to examine changes during treatment. Tracking these metabolic differences can therefore support tumor characterization and assessment of treatment responses through functional information.
The technique connects a treatment strategy with measurable changes in tumor metabolism. By showing how cancerous and healthy tissues process labeled nutrients, it can provide functional evidence for evaluating metabolic differences and treatment effects. This information supports research aimed at developing therapies that target cancer metabolism and at determining whether metabolic activity changes during intervention.