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Special Issue "Mass Spectrometry: A Powerful Tool for Comprehensive Metabolomic Profiling of Cells and Tissues"
A special issue of Metabolites (ISSN 2218-1989). This special issue belongs to the section "Metabolomic Profiling Technology".
Deadline for manuscript submissions: 30 June 2023 | Viewed by 3124
Special Issue Editors
Interests: mass spectrometry; LC-MS; metabolomics; metabolic flux
Interests: functional near-infrared spectroscopy; diffuse correlation spectroscopy; cerebral hemodynamics; multimodal neuromonitoring; neurocritical care bioinformatics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Comprehensive metabolomic profiling of cells and tissues can help us discover new drug targets, find biomarkers for disease diagnosis, and study absorption, distribution, metabolism and excretion (ADME) of drugs. MS is one of the most powerful analytical platforms. However, achieving high-coverage analysis of metabolites in cells and tissues is still very challenging. In a real-world situation, a limited amount of tissues can be collected from animal models or patients. Although a large number of cells can be acquired from cell culturing, only a small number of primary cells, which are more useful in biological study, can be isolated from patients. Profiling single cell metabolome in tumors can provide valuable information regarding cancer heterogeneity. Therefore, it is desirable to develop more sensive MS technique for realizing comprehensive metabolomic analysis of cells and tissues. More than that, there are various of other challenges in cell and tissue metabolomic profiling: data processing (e.g., efficiently extract meaningful signal sfrom raw data), linking with other -omics techniques (e.g., genomics, transcriptomics, proteomics) and metabolite identification. This Special Issue highlights the development of MS for comprehensive analysis of metabolites in cells and tissues. The Special Issue covers, but is not limited to, untargeted metabolomic profiling of cells and tissues, targeted metabolites analysis in cells and tissues, single cell metabolomics, developing new algorithms to improve data processing and metabolite identification rate, novel chemical derivatization method development, and application of cellular and tissue metabolomics in clinical diagnosis.
Dr. Xian Luo
Dr. Wesley Baker
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 2200 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.
- mass spectrometry
- tissue analysis
- cellular metabolomics