Gc-ms Metabolomics
Gc-ms Metabolomics - Related Videos
07:21
Preparation of Drosophila Larval Samples for Gas Chromatography-Mass Spectrometry (GC-MS)-based Metabolomics
0 Views •
Cited by 26 •
2018
This protocol describes how to prepare Drosophila larvae for GC-MS-based metabolomic analysis.
09:22
Gas Chromatography (GC) with Flame-Ionization Detection
0 Views •
2023
Source: Laboratory of Dr. B. Jill Venton - University of Virginia Gas chromatography (GC) is used to separate and detect small molecular weight compounds in the gas phase. The sample is either a gas or a liquid that is vaporized in the injection port. Typically, the compounds analyzed are less than 1,000 Da, because it is difficult to vaporize larger compounds. GC is popular for environmental monitoring and industrial applications because it is very reliable and can be run nearly continuously.
07:34
Large Scale Non-targeted Metabolomic Profiling of Serum by Ultra Performance Liquid Chromatography-Mass Spectrometry (UPLC-MS)
0 Views •
Cited by 18 •
2013
Non-targeted metabolite profiling by ultra performance liquid chromatography coupled with mass spectrometry (UPLC-MS) is a powerful technique to investigate metabolism. This article outlines a typical workflow utilized for non-targeted metabolite profiling of serum including sample organization and preparation, data acquisition, data analysis, quality control, and metabolite identification.
14:18
A Strategy for Sensitive, Large Scale Quantitative Metabolomics
0 Views •
Cited by 28 •
2014
Metabolite profiling has been a valuable asset in the study of metabolism in health and disease. Utilizing normal-phased liquid chromatography coupled to high-resolution mass spectrometry with polarity switching and a rapid duty cycle, we describe a protocol to analyze the polar metabolic composition of biological material with high sensitivity, accuracy, and resolution.
13:02
The Terroir Concept Interpreted through Grape Berry Metabolomics and Transcriptomics
0 Views •
Cited by 10 •
2016
This article describes the application of untargeted metabolomics, transcriptomics and multivariate statistical analysis to grape berry transcripts and metabolites in order to gain insight into the terroir concept, i.e., the impact of the environment on berry quality traits.
FAQs
Gas chromatography separates extracted compounds before they enter the mass spectrometer, reducing overlap among metabolites in the analytical stream. The mass spectrometer then records characteristic mass spectra for the separated compounds, allowing profiles to support metabolite identification or quantification. Together, these stages connect chemical separation with molecular pattern recognition, making developmental differences visible as changes in metabolite profiles.
Derivatization can improve a metabolite’s volatility and thermal stability, properties needed for effective gas-chromatographic analysis. This preparation step therefore determines whether certain extracted small molecules can be handled during separation and subsequent mass-spectral measurement. Including or omitting it can influence which metabolites are represented in a developmental profile and how chemical changes across stages are interpreted.
Comparing profiles from successive developmental stages can reveal coordinated changes in energy metabolism, signaling molecules, and biosynthetic pathways. These patterns help connect gene regulation with functional physiology rather than treating developmental progression as a purely genetic process. A metabolite shift that consistently accompanies maturation may also serve as a candidate biomarker of a developmental transition.
The workflow begins with metabolite extraction from the biological sample. Compounds requiring improved volatility or thermal stability are chemically derivatized, after which the prepared material undergoes gas-chromatographic separation and mass-spectral measurement. The resulting data support metabolite identification or quantification and enable comparisons across samples. These stages link preparation choices with the final chemical profile.
This approach is useful when researchers need to determine how cellular, tissue, or organismal chemistry changes as development proceeds. Profiles from different stages can characterize maturation-associated energy metabolism, signaling, and biosynthesis. They also provide a way to examine functional physiology alongside gene regulation and to identify metabolite patterns associated with developmental transitions.
Profiles collected under different environmental conditions can show whether development is accompanied by altered energy metabolism, signaling chemistry, or biosynthetic activity. Comparing these chemical patterns across developmental stages and conditions helps researchers examine how environmental influences interact with maturation. The resulting data connect external conditions with measurable changes in functional physiology during development.