Mass Spectrometry-Based Technology for Metabolic Profiling
A special issue of Metabolites (ISSN 2218-1989). This special issue belongs to the section "Metabolomic Profiling Technology".
Deadline for manuscript submissions: 30 September 2025 | Viewed by 456
Special Issue Editors
Interests: mass spectrometry imaging; metabolomics; lipidomics; pharmaceuticals
Interests: mass spectrometry imaging; proteomics; metabolomics; lipidomics and metallomics in 3D cell culture models and human tissue
Interests: metabolic analysis; metabolic imaging
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The upcoming Special Issue on “Mass Spectrometry-Based Technology for Metabolic Profiling” seeks to showcase pioneering research and reviews that propel the understanding and utilization of mass spectrometry (MS) in the field of metabolomics.
This Special Issue covers a wide array of topics illustrating the versatile applications of MS in metabolic profiling. Key highlights include innovations in MS instrumentation and methodologies, such as high-resolution mass spectrometry and novel ionization techniques that improve the detection of low-abundance metabolites. Contributions focusing on the integration of MS data with computational tools to understand metabolic networks and pathways are particularly encouraged. Another theme is the integration of spatial and biofluids/bulk metabolomics. Spatial metabolomics, using mass spectrometry imaging, offers insights by mapping the spatial distribution of metabolites within tissues, thereby complementing bulk metabolomics, which provides an overall view of metabolite composition. Submissions that explore the combined use of these techniques aim to demonstrate how spatial context adds depth to bulk analysis, offering a comprehensive understanding of intricate metabolic phenomena.
Submissions are welcomed from various fields, including clinical metabolomics, where MS aids in biomarker discovery and personalized medicine. Manuscripts exploring aspects like cancer metabolism, pharmaco-metabolomics, and environmental metabolomics will provide valuable insights into the broad applications of MS technology. This Special Issue aims to present a vital resource for researchers and practitioners, highlighting state-of-the-art advancements and fostering dialogue that inspires future innovations in MS-based metabolic profiling, bridging the gap between technological advancements and biomedical research applications.
Dr. Gregory Hamm
Dr. Laura Cole
Dr. Lin Wang
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Metabolites is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- metabolomics
- lipidomic
- high-resolution mass spectrometry
- untargeted and targeted
- data processing
- pathway mapping
- fluxomic
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