Cargando…
NMR Metabolomics for Stem Cell type discrimination
Cell metabolism is a key determinant factor for the pluripotency and fate commitment of Stem Cells (SCs) during development, ageing, pathological onset and progression. We derived and cultured selected subpopulations of rodent fetal, postnatal, adult Neural SCs (NSCs) and postnatal glial progenitors...
Autores principales: | , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5693937/ https://www.ncbi.nlm.nih.gov/pubmed/29150616 http://dx.doi.org/10.1038/s41598-017-16043-8 |
_version_ | 1783280020061421568 |
---|---|
author | Castiglione, Franca Ferro, Monica Mavroudakis, Evangelos Pellitteri, Rosalia Bossolasco, Patrizia Zaccheo, Damiano Morbidelli, Massimo Silani, Vincenzo Mele, Andrea Moscatelli, Davide Cova, Lidia |
author_facet | Castiglione, Franca Ferro, Monica Mavroudakis, Evangelos Pellitteri, Rosalia Bossolasco, Patrizia Zaccheo, Damiano Morbidelli, Massimo Silani, Vincenzo Mele, Andrea Moscatelli, Davide Cova, Lidia |
author_sort | Castiglione, Franca |
collection | PubMed |
description | Cell metabolism is a key determinant factor for the pluripotency and fate commitment of Stem Cells (SCs) during development, ageing, pathological onset and progression. We derived and cultured selected subpopulations of rodent fetal, postnatal, adult Neural SCs (NSCs) and postnatal glial progenitors, Olfactory Ensheathing Cells (OECs), respectively from the subventricular zone (SVZ) and the olfactory bulb (OB). Cell lysates were analyzed by proton Nuclear Magnetic Resonance ((1)H-NMR) spectroscopy leading to metabolites identification and quantitation. Subsequent multivariate analysis of NMR data by Principal Component Analysis (PCA), and Partial Least Square Discriminant Analysis (PLS-DA) allowed data reduction and cluster analysis. This strategy ensures the definition of specific features in the metabolic content of phenotypically similar SCs sharing a common developmental origin. The metabolic fingerprints for selective metabolites or for the whole spectra demonstrated enhanced peculiarities among cell types. The key result of our work is a neat divergence between OECs and the remaining NSC cells. We also show that statistically significant differences for selective metabolites characterizes NSCs of different ages. Finally, the retrived metabolome in cell cultures correlates to the physiological SC features, thus allowing an integrated bioengineering approach for biologic fingerprints able to dissect the (neural) SC molecular specificities. |
format | Online Article Text |
id | pubmed-5693937 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-56939372017-11-27 NMR Metabolomics for Stem Cell type discrimination Castiglione, Franca Ferro, Monica Mavroudakis, Evangelos Pellitteri, Rosalia Bossolasco, Patrizia Zaccheo, Damiano Morbidelli, Massimo Silani, Vincenzo Mele, Andrea Moscatelli, Davide Cova, Lidia Sci Rep Article Cell metabolism is a key determinant factor for the pluripotency and fate commitment of Stem Cells (SCs) during development, ageing, pathological onset and progression. We derived and cultured selected subpopulations of rodent fetal, postnatal, adult Neural SCs (NSCs) and postnatal glial progenitors, Olfactory Ensheathing Cells (OECs), respectively from the subventricular zone (SVZ) and the olfactory bulb (OB). Cell lysates were analyzed by proton Nuclear Magnetic Resonance ((1)H-NMR) spectroscopy leading to metabolites identification and quantitation. Subsequent multivariate analysis of NMR data by Principal Component Analysis (PCA), and Partial Least Square Discriminant Analysis (PLS-DA) allowed data reduction and cluster analysis. This strategy ensures the definition of specific features in the metabolic content of phenotypically similar SCs sharing a common developmental origin. The metabolic fingerprints for selective metabolites or for the whole spectra demonstrated enhanced peculiarities among cell types. The key result of our work is a neat divergence between OECs and the remaining NSC cells. We also show that statistically significant differences for selective metabolites characterizes NSCs of different ages. Finally, the retrived metabolome in cell cultures correlates to the physiological SC features, thus allowing an integrated bioengineering approach for biologic fingerprints able to dissect the (neural) SC molecular specificities. Nature Publishing Group UK 2017-11-17 /pmc/articles/PMC5693937/ /pubmed/29150616 http://dx.doi.org/10.1038/s41598-017-16043-8 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Castiglione, Franca Ferro, Monica Mavroudakis, Evangelos Pellitteri, Rosalia Bossolasco, Patrizia Zaccheo, Damiano Morbidelli, Massimo Silani, Vincenzo Mele, Andrea Moscatelli, Davide Cova, Lidia NMR Metabolomics for Stem Cell type discrimination |
title | NMR Metabolomics for Stem Cell type discrimination |
title_full | NMR Metabolomics for Stem Cell type discrimination |
title_fullStr | NMR Metabolomics for Stem Cell type discrimination |
title_full_unstemmed | NMR Metabolomics for Stem Cell type discrimination |
title_short | NMR Metabolomics for Stem Cell type discrimination |
title_sort | nmr metabolomics for stem cell type discrimination |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5693937/ https://www.ncbi.nlm.nih.gov/pubmed/29150616 http://dx.doi.org/10.1038/s41598-017-16043-8 |
work_keys_str_mv | AT castiglionefranca nmrmetabolomicsforstemcelltypediscrimination AT ferromonica nmrmetabolomicsforstemcelltypediscrimination AT mavroudakisevangelos nmrmetabolomicsforstemcelltypediscrimination AT pellitterirosalia nmrmetabolomicsforstemcelltypediscrimination AT bossolascopatrizia nmrmetabolomicsforstemcelltypediscrimination AT zaccheodamiano nmrmetabolomicsforstemcelltypediscrimination AT morbidellimassimo nmrmetabolomicsforstemcelltypediscrimination AT silanivincenzo nmrmetabolomicsforstemcelltypediscrimination AT meleandrea nmrmetabolomicsforstemcelltypediscrimination AT moscatellidavide nmrmetabolomicsforstemcelltypediscrimination AT covalidia nmrmetabolomicsforstemcelltypediscrimination |