Literature DB >> 31953714

Mammalian ovarian lipid distributions by desorption electrospray ionization-mass spectrometry (DESI-MS) imaging.

Fernanda Bertuccez Cordeiro1, Alan K Jarmusch2,3, Marisol León4, Christina Ramires Ferreira5,6, Valentina Pirro2, Livia S Eberlin7, Judy Hallett8, Maria Angelica Miglino4, Robert Graham Cooks2.   

Abstract

Merging optical images of tissue sections with the spatial distributions of molecules seen by imaging mass spectrometry is a powerful approach to better understand the metabolic roles of the mapped molecules. Here, we use histologically friendly desorption electrospray ionization-mass spectrometry (DESI-MS) to map the lipid distribution in tissue sections of ovaries from cows (N = 8), sows (N = 3), and mice (N = 12). Morphologically friendly DESI-MS imaging allows the same sections to be examined for morphological information. Independent of the species, ovarian follicles, corpora lutea, and stroma could be differentiated by principal component analysis, showing that lipid profiles are well conserved among species. As examples of specific findings, arachidonic acid and the phosphatidylinositol PI(38:4), were both found concentrated in the follicles and corpora lutea, structures that promoted ovulation and implantation, respectively. Adrenic acid was spatially located in the corpora lutea, suggesting the importance of this fatty acid in the ovary luteal phase. In summary, lipid information captured by DESI-MS imaging could be related to ovarian structures and data were all conserved among cows, sows, and mice. Further application of DESI-MS imaging to either physiological or pathophysiological models of reproductive conditions will likely expand knowledge of the roles of specific lipids and pathways in ovarian activity and mammalian fertility. Graphical abstract Desorption electrospray ionization-mass spectrometry (DESI-MS) is performed directly from frozen ovarian tissue sections placed onto glass slides. Because the desorption and ionization process of small molecules is so gentle, the tissue architecture is preserved. The sample can then be stained and tissue morphology information can be overlaid with the chemical information obtained by DESI-MS.

Entities:  

Keywords:  DESI-MS imaging; Folliculogenesis; Lipid; Mass spectrometry; Ovary

Mesh:

Year:  2020        PMID: 31953714     DOI: 10.1007/s00216-019-02352-6

Source DB:  PubMed          Journal:  Anal Bioanal Chem        ISSN: 1618-2642            Impact factor:   4.142


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3.  Docosahexaenoic acid (DHA) effects on proliferation and steroidogenesis of bovine granulosa cells.

Authors:  Virginie Maillard; Alice Desmarchais; Maeva Durcin; Svetlana Uzbekova; Sebastien Elis
Journal:  Reprod Biol Endocrinol       Date:  2018-04-26       Impact factor: 5.211

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  5 in total

Review 1.  Multimodal Imaging Mass Spectrometry: Next Generation Molecular Mapping in Biology and Medicine.

Authors:  Elizabeth K Neumann; Katerina V Djambazova; Richard M Caprioli; Jeffrey M Spraggins
Journal:  J Am Soc Mass Spectrom       Date:  2020-09-04       Impact factor: 3.262

2.  Direct Liquid Extraction and Ionization Techniques for Understanding Multimolecular Environments in Biological Systems (Secondary Publication).

Authors:  Yoichi Otsuka
Journal:  Mass Spectrom (Tokyo)       Date:  2021-06-30

3.  Metabolic profiles of human brain parenchyma and glioma for rapid tissue diagnosis by targeted desorption electrospray ionization mass spectrometry.

Authors:  Rong Chen; Hannah Marie Brown; R Graham Cooks
Journal:  Anal Bioanal Chem       Date:  2021-08-09       Impact factor: 4.478

4.  Spatially resolved metabolomic characterization of muscle invasive bladder cancer by mass spectrometry imaging.

Authors:  Anqi Tu; Neveen Said; David C Muddiman
Journal:  Metabolomics       Date:  2021-07-21       Impact factor: 4.747

5.  MALDI-TOF Mass Spectrometry Revealed Significant Lipid Variations in Follicular Fluid and Somatic Follicular Cells but Not in Enclosed Oocytes between the Large Dominant and Small Subordinate Follicles in Bovine Ovary.

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Journal:  Int J Mol Sci       Date:  2020-09-11       Impact factor: 5.923

  5 in total

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