Metabolomics

Dataset Information

0

Fast and sensitive flow-injection mass spectrometry metabolomics by analyzing sample specific ion distributions


ABSTRACT: Mass spectrometry based metabolomics is a widely used approach in biotechnology and biomedical research. However, current methods coupling mass spectrometry with chromatography are time-consuming and not suitable for high-throughput analysis of thousands of samples. An alternative approach is flow-injection mass spectrometry (FI-MS) in which samples are directly injected to the ionization source. Here, we show that the sensitivity of Orbitrap FI-MS metabolomics methods is limited by ion competition effect in the detection system. We describe an approach for overcoming this effect by analyzing the distribution of ion m/z values and computationally determining a series of optimal scan ranges. This enables reproducible detection of ~9,000 and ~10,000 m/z features in metabolomics and lipidomics analysis of serum samples, respectively, with a sample scan time of ~15 seconds and duty time of ~30 seconds; a ~50% increase versus current spectral-stitching FI-MS. This approach facilitates high-throughput metabolomics for a variety of applications, including biomarker discovery and functional genomics screens.

ORGANISM(S): Human Homo Sapiens

TISSUE(S): Blood

SUBMITTER: Tomer Shlomi  

PROVIDER: ST001380 | MetabolomicsWorkbench | Sun May 17 00:00:00 BST 2020

REPOSITORIES: MetabolomicsWorkbench

Dataset's files

Source:
Action DRS
mwtab Other
Items per page:
1 - 1 of 1

Similar Datasets

2024-07-23 | MODEL2407230001 | BioModels
2024-07-23 | MODEL2407230001 | BioModels
2011-02-08 | E-GEOD-25687 | biostudies-arrayexpress
2016-12-08 | GSE86300 | GEO
| EGAD00010001310 | EGA
2011-02-08 | E-GEOD-21720 | biostudies-arrayexpress
2023-01-18 | GSE208086 | GEO
| 89221 | ecrin-mdr-crc
2010-12-31 | E-GEOD-20218 | biostudies-arrayexpress
2011-02-08 | GSE21720 | GEO