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Imaging and Spatial Lipidomic Analysis

A special issue of Molecules (ISSN 1420-3049). This special issue belongs to the section "Analytical Chemistry".

Deadline for manuscript submissions: closed (30 November 2023) | Viewed by 7530

Special Issue Editor


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Guest Editor
State Key Lab. of Environmental & Biological Analysis, Department of Chemistry, Hong Kong Baptist University, Hongkong, China
Interests: high-performance mass spectrometry imaging; spatial lipidomics; ion mobility mass spectrometry; multimodality imaging

Special Issue Information

Dear Colleagues,

A key challenge for mass spectrometry-based lipidome analysis is high sensitivity and stability to meet the need for high-resolution molecular imaging, single-cell analysis, and in situ structural elucidation. Current analysis based on mass spectrometry imaging and spatial lipidomics has made fruitful progress and has achieved or surpassed cellular resolution. Significant progress has also been made in lipid isomer imaging and high-throughput single-cell analysis. In addition, it can be seen that the introduction of ion mobility mass spectrometry, multimodality imaging, and artificial intelligence techniques will further advance the development of imaging and spatial lipidomic analysis.

Through this Special Issue, “Imaging and Spatial Lipidomic Analysis”, we aim to highlight primary research studies and literature reviews that focus on lipid mass spectrometry imaging, spatial, and structural lipidomics, and their applications. We welcome a wide range of research areas and interests, including and not limited to analytical chemistry, biomedical sciences, environmental health sciences, pharmaceuticals, food analysis, and plant sciences.

The Special Issue is open for submission now. We invite leading researchers to submit their previously unpublished and novel research in this area. A proper extension may be granted. Please kindly let us know in advance.

Dr. Jianing Wang
Guest Editor

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. Molecules is an international peer-reviewed open access semimonthly 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

  • mass spectrometry imaging
  • shotgun lipidomics
  • single-cell analysis
  • ion mobility mass spectrometry
  • spatial lipidomics
  • deep lipidomics

Published Papers (3 papers)

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Research

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10 pages, 2886 KiB  
Article
Lipidomic Characterization of Oocytes at Single-Cell Level Using Nanoflow Chromatography-Trapped Ion Mobility Spectrometry-Mass Spectrometry
by Pujia Zhu, Guowei Bu, Ruifeng Hu, Xianqin Ruan, Rongrong Fu, Zhourui Zhang, Qiongqiong Wan, Xin Liu, Yiliang Miao and Suming Chen
Molecules 2023, 28(10), 4202; https://doi.org/10.3390/molecules28104202 - 19 May 2023
Cited by 1 | Viewed by 1404
Abstract
Mass spectrometry (MS)-based lipidomic has become a powerful tool for studying lipids in biological systems. However, lipidome analysis at the single-cell level remains a challenge. Here, we report a highly sensitive lipidomic workflow based on nanoflow liquid chromatography and trapped ion mobility spectrometry [...] Read more.
Mass spectrometry (MS)-based lipidomic has become a powerful tool for studying lipids in biological systems. However, lipidome analysis at the single-cell level remains a challenge. Here, we report a highly sensitive lipidomic workflow based on nanoflow liquid chromatography and trapped ion mobility spectrometry (TIMS)-MS. This approach enables the high-coverage identification of lipidome landscape at the single-oocyte level. By using the proposed method, comprehensive lipid changes in porcine oocytes during their maturation were revealed. The results provide valuable insights into the structural changes of lipid molecules during porcine oocyte maturation, highlighting the significance of sphingolipids and glycerophospholipids. This study offers a new approach to the single-cell lipidomic. Full article
(This article belongs to the Special Issue Imaging and Spatial Lipidomic Analysis)
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Review

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13 pages, 3543 KiB  
Review
Evaluating Software Tools for Lipid Identification from Ion Mobility Spectrometry–Mass Spectrometry Lipidomics Data
by Dylan H. Ross, Jian Guo, Aivett Bilbao, Tao Huan, Richard D. Smith and Xueyun Zheng
Molecules 2023, 28(8), 3483; https://doi.org/10.3390/molecules28083483 - 14 Apr 2023
Cited by 2 | Viewed by 2472
Abstract
The unambiguous identification of lipids is a critical component of lipidomics studies and greatly impacts the interpretation and significance of analyses as well as the ultimate biological understandings derived from measurements. The level of structural detail that is available for lipid identifications is [...] Read more.
The unambiguous identification of lipids is a critical component of lipidomics studies and greatly impacts the interpretation and significance of analyses as well as the ultimate biological understandings derived from measurements. The level of structural detail that is available for lipid identifications is largely determined by the analytical platform being used. Mass spectrometry (MS) coupled with liquid chromatography (LC) is the predominant combination of analytical techniques used for lipidomics studies, and these methods can provide fairly detailed lipid identification. More recently, ion mobility spectrometry (IMS) has begun to see greater adoption in lipidomics studies thanks to the additional dimension of separation that it provides and the added structural information that can support lipid identification. At present, relatively few software tools are available for IMS-MS lipidomics data analysis, which reflects the still limited adoption of IMS as well as the limited software support. This fact is even more pronounced for isomer identifications, such as the determination of double bond positions or integration with MS-based imaging. In this review, we survey the landscape of software tools that are available for the analysis of IMS-MS-based lipidomics data and we evaluate lipid identifications produced by these tools using open-access data sourced from the peer-reviewed lipidomics literature. Full article
(This article belongs to the Special Issue Imaging and Spatial Lipidomic Analysis)
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16 pages, 2678 KiB  
Review
Mass Spectrometry Imaging for Single-Cell or Subcellular Lipidomics: A Review of Recent Advancements and Future Development
by Dan Li, Zheng Ouyang and Xiaoxiao Ma
Molecules 2023, 28(6), 2712; https://doi.org/10.3390/molecules28062712 - 17 Mar 2023
Cited by 7 | Viewed by 3058
Abstract
Mass Spectrometry Imaging (MSI) has emerged as a powerful imaging technique for the analysis of biological samples, providing valuable insights into the spatial distribution and structural characterization of lipids. The advancements in high-resolution MSI have made it an indispensable tool for single-cell or [...] Read more.
Mass Spectrometry Imaging (MSI) has emerged as a powerful imaging technique for the analysis of biological samples, providing valuable insights into the spatial distribution and structural characterization of lipids. The advancements in high-resolution MSI have made it an indispensable tool for single-cell or subcellular lipidomics. By preserving both intracellular and intercellular information, MSI enables a comprehensive analysis of lipidomics in individual cells and organelles. This enables researchers to delve deeper into the diversity of lipids within cells and to understand the role of lipids in shaping cell behavior. In this review, we aim to provide a comprehensive overview of recent advancements and future prospects of MSI for cellular/subcellular lipidomics. By keeping abreast of the cutting-edge studies in this field, we will continue to push the boundaries of the understanding of lipid metabolism and the impact of lipids on cellular behavior. Full article
(This article belongs to the Special Issue Imaging and Spatial Lipidomic Analysis)
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