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Applications of high-resolution magic angle spinning MRS in biomedical studies I-cell line and animal models
| Content Provider | Scilit |
|---|---|
| Author | Kaebisch, Eva Fuss, Taylor L. Vandergrift, Lindsey A. Toews, Karin Habbel, Piet Cheng, Leo L. |
| Copyright Year | 2017 |
| Description | Journal: NMR in Biomedicine High-resolution magic angle spinning (HRMAS) MRS allows for direct measurements of non-liquid tissue and cell specimens to present valuable insights into the cellular metabolisms of physiological and pathological processes. HRMAS produces high-resolution spectra comparable to those obtained from solutions of specimen extracts but without complex metabolite extraction processes, and preserves the tissue cellular structure in a form suitable for pathological examinations following spectroscopic analysis. The technique has been applied in a wide variety of biomedical and biochemical studies and become one of the major platforms of metabolomic studies. By quantifying single metabolites, metabolite ratios, or metabolic profiles in their entirety, HRMAS presents promising possibilities for diagnosis and prediction of clinical outcomes for various diseases, as well as deciphering of metabolic changes resulting from drug therapies or xenobiotic interactions. In this review, we evaluate HRMAS MRS results on animal models and cell lines reported in the literature, and present the diverse applications of the method for the understanding of pathological processes and the effectiveness of therapies, development of disease animal models, and new progress in HRMAS methodology. |
| Related Links | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5501085/pdf |
| e-ISSN | 10991492 |
| DOI | 10.1002/nbm.3700 |
| Journal | NMR in Biomedicine |
| Issue Number | 6 |
| Volume Number | 30 |
| Language | English |
| Publisher | Wiley-Blackwell |
| Publisher Date | 2017-03-16 |
| Access Restriction | Open |
| Subject Keyword | Journal: NMR in Biomedicine Analytical Chemistry High-resolution Magic Angle Spinning (hrmas) |
| Content Type | Text |
| Resource Type | Article |