AI Article Synopsis
- * Traditional methods of mass spectrometry currently lack the capability to create datasets for future analysis, which limits understanding of unknown compounds present in samples.
- * The article argues for using non-targeted data acquisition methods to build comprehensive digital libraries, enabling long-term data mining and deeper analysis as new questions arise in the field.
Article Abstract
Targeted mass spectrometry is extensively used for the quantitative measurement of various molecules present in complex matrices. It is certainly one of the most important analytical duties in a mass spectrometry laboratory. Systematic development of selected-reaction monitoring (SRM), multiple-reaction monitoring (MRM) and parallel-reaction monitoring (PRM) methods for targeted mass spectrometry-based analysis was performed without considering future opportunities. The advancement of hardware and software technologies has resulted in greater resolution, accuracy, speed and depth. For sure, SRM, MRM or PRM acquisitions can quantify molecules very accurately at trace levels. However, they do not provide datasets allowing future data mining. Obviously, we cannot truly quantify something that we do not know is there. However, using non-targeted data acquisition for target analysis, we can generate a MS and MS digital libraries of each sample, providing future proof datasets. This is instrumental for data mining following new questions potentially arising in time permitting new and deeper processing and interpretation. This perspective article provides thoughts on why we believe it is time to question the status quo in targeted mass spectrometry.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1002/bmc.5531 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Fecal metabolomic analysis of the role of gut microbiota and short-chain fatty acids in the therapeutic mechanism of Timosaponin AIII in Sjögren's syndrome.
Clin Rheumatol
January 2025
Department of Rheumatology, Guang'anmen Hospital, Chinese Academy of Chinese Medical Sciences, Beijing, People's Republic of China.
Introduction/objectives: Sjogren's syndrome (SS) is a chronic inflammatory and difficult-to-treat autoimmune disease. Timosaponin AIII (TAIII), a plant-derived steroidal saponin, effectively inhibits cell proliferation, induces apoptosis, and exhibits anti-inflammatory properties. This study explored the mechanisms of action of TAIII in SS treatment by studying gut microbiota and short-chain fatty acids (SCFAs) using fecal metabolomics.
View Article and Find Full Text PDFSubstrate stiffness dictates unique doxorubicin-induced senescence-associated secretory phenotypes and transcriptomic signatures in human pulmonary fibroblasts.
Geroscience
January 2025
Buck Institute for Research On Aging, Novato, CA, 94945, USA.
Cells are subjected to dynamic mechanical environments which impart forces and induce cellular responses. In age-related conditions like pulmonary fibrosis, there is both an increase in tissue stiffness and an accumulation of senescent cells. While senescent cells produce a senescence-associated secretory phenotype (SASP), the impact of physical stimuli on both cellular senescence and the SASP is not well understood.
View Article and Find Full Text PDFUltrafast Dissociation Dynamics of the Sensitive Explosive Ethylene Glycol Dinitrate.
J Phys Chem Lett
January 2025
Department of Chemistry, Virginia Commonwealth University, Richmond, Virginia 23284, United States.
Ethylene glycol dinitrate (EGDN) is a nitrate ester explosive widely used in military ordnance and missile systems. This study investigates the decomposition dynamics of the EGDN cation using a comprehensive approach that combines femtosecond time-resolved mass spectrometry (FTRMS) experiments with electronic structure and molecular dynamics computations. We identify three distinct dissociation time scales for the metastable EGDN cation of approximately 40-60 fs, 340-450 fs, and >2 ps.
View Article and Find Full Text PDFNew Numerical Inversion Method to Improve the Spatial Accuracy of Elemental Imaging for LA-ICP-MS.
Anal Chem
January 2025
State Key Laboratory of Geological Processes and Mineral Resources, China University of Geosciences, Wuhan 430074, PR China.
The elemental imaging of laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) provides spatial information on elements and therefore can further investigate the growth or evolution processes of an analyte. However, the accurate determination of spatial information is limited by the decoupling between the elemental distribution and mass spectrometry signals. This phenomenon, which is more distinct when high-diffusion ablation cells are used, arises from the overlap of ablation and the transport dispersion of aerosols.
View Article and Find Full Text PDFUnsaturated Fatty Acids Are Decreased in Aβ Plaques in Alzheimer's Disease.
J Neurochem
January 2025
Center for Protein Diagnostics (PRODI) Biospectroscopy, Ruhr University Bochum, Bochum, Germany.
Alzheimer's disease (AD) is characterized by the accumulation of amyloid-beta (Aβ) plaques in the brain, contributing to neurodegeneration. This study investigates lipid alterations within these plaques using a novel, label-free, multimodal approach. Combining infrared (IR) imaging, machine learning, laser microdissection (LMD), and flow injection analysis mass spectrometry (FIA-MS), we provide the first comprehensive lipidomic analysis of chemically unaltered Aβ plaques in post-mortem human AD brain tissue.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!