Integration of GC–MS and LC–MS for untargeted metabolomics profiling
Recently, metabolomics analyses have become increasingly common in the general
scientific community as it is applied in several researches relating to diseases diagnosis …
scientific community as it is applied in several researches relating to diseases diagnosis …
Cardiovascular metabolomics
Disturbances in cardiac metabolism underlie most cardiovascular diseases. Metabolomics,
one of the newer omics technologies, has emerged as a powerful tool for defining changes …
one of the newer omics technologies, has emerged as a powerful tool for defining changes …
Activation of RAS/MAPK pathway confers MCL-1 mediated acquired resistance to BCL-2 inhibitor venetoclax in acute myeloid leukemia
Despite high initial response rates, acute myeloid leukemia (AML) treated with the BCL-2–
selective inhibitor venetoclax (VEN) alone or in combinations commonly acquires …
selective inhibitor venetoclax (VEN) alone or in combinations commonly acquires …
Missing value imputation approach for mass spectrometry-based metabolomics data
Missing values exist widely in mass-spectrometry (MS) based metabolomics data. Various
methods have been applied for handling missing values, but the selection can significantly …
methods have been applied for handling missing values, but the selection can significantly …
MetaboAnalystR 2.0: from raw spectra to biological insights
Global metabolomics based on high-resolution liquid chromatography mass spectrometry
(LC-MS) has been increasingly employed in recent large-scale multi-omics studies …
(LC-MS) has been increasingly employed in recent large-scale multi-omics studies …
Machine learning applications for mass spectrometry-based metabolomics
The metabolome of an organism depends on environmental factors and intracellular
regulation and provides information about the physiological conditions. Metabolomics helps …
regulation and provides information about the physiological conditions. Metabolomics helps …
metaX: a flexible and comprehensive software for processing metabolomics data
B Wen, Z Mei, C Zeng, S Liu - BMC bioinformatics, 2017 - Springer
Background Non-targeted metabolomics based on mass spectrometry enables high-
throughput profiling of the metabolites in a biological sample. The large amount of data …
throughput profiling of the metabolites in a biological sample. The large amount of data …
Nutrimetabolomics: an integrative action for metabolomic analyses in human nutritional studies
MM Ulaszewska, CH Weinert… - Molecular nutrition & …, 2019 - Wiley Online Library
The life sciences are currently being transformed by an unprecedented wave of
developments in molecular analysis, which include important advances in instrumental …
developments in molecular analysis, which include important advances in instrumental …
Use of metabolomics in improving assessment of dietary intake
BACKGROUND Nutritional metabolomics is rapidly evolving to integrate nutrition with
complex metabolomics data to discover new biomarkers of nutritional exposure and status …
complex metabolomics data to discover new biomarkers of nutritional exposure and status …
Analytical opportunities and challenges for data handling with chemometrics strategies from LC-MS based food metabolomics
Z Qin, J Wang, D Wang, H **ao, X Lv, H Chen… - Trends in Food Science & …, 2024 - Elsevier
Background Liquid chromatography-mass spectrometry-based metabolomics allows us to
measure thousands of small metabolites from food matrixes, focused on understanding in …
measure thousands of small metabolites from food matrixes, focused on understanding in …