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Lipidomics Reveals a Tissue-Specific Fingerprint

Irene Pradas, Kevin Huynh, Rosanna Cabré, Victòria Ayala, Peter J. Meikle, Mariona Jové, Reinald Pamplona

Frontiers in Physiology · 2018 · ▲ 121 citations

Abstract

In biological systems lipids generate membranes and have a key role in cell signaling and energy storage. Therefore, there is a wide diversity of molecular lipid expressed at the compositional level in cell membranes and organelles, as well as in tissues, whose lipid distribution remains unclear. Here, we report a mass spectrometry study of lipid abundance across 7 rat tissues, detecting and quantifying 652 lipid molecular species from the glycerolipid, glycerophospholipid, fatty acyl, sphingolipid, sterol lipid and prenol lipid categories. Our results demonstrate that every tissue analyzed presents a specific lipid distribution and concentration. Thus, glycerophospholipids are the most abundant tissue lipid, they share a similar tissue distribution but differ in particular lipid species between tissues. Sphingolipids are more concentrated in the renal cortex and sterol lipids can be found mainly in both liver and kidney. Both types of white adipose tissue, visceral and subcutaneous, are rich in glycerolipids but differing the amount. Acylcarnitines are mainly in the skeletal muscle, gluteus and soleus, while heart presents higher levels of ubiquinone than other tissues. The present study demonstrates the existence of a rat tissue-specific fingerprint.

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Provenance

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OpenAlex
DOI
10.3389/fphys.2018.01165
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2026-09-09 MST

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APA
Pradas, I., Huynh, K., Cabré, R., Ayala, V., Meikle, P.J., Jové, M., &amp; Pamplona, R. (2018). Lipidomics Reveals a Tissue-Specific Fingerprint. <em>Frontiers in Physiology</em>. https://doi.org/10.3389/fphys.2018.01165
Vancouver
Pradas I, Huynh K, Cabré R, Ayala V, Meikle PJ, Jové M, et al. Lipidomics Reveals a Tissue-Specific Fingerprint. Frontiers in Physiology. 2018. doi:10.3389/fphys.2018.01165.
BibTeX
@article{irene2018Lipido, title = {Lipidomics Reveals a Tissue-Specific Fingerprint}, author = {Irene Pradas and Kevin Huynh and Rosanna Cabré and Victòria Ayala and Peter J. Meikle and Mariona Jové and Reinald Pamplona}, journal = {Frontiers in Physiology}, year = {2018}, doi = {10.3389/fphys.2018.01165}, }

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