Literature DB >> 23384506

Stem cell metabolic and spectroscopic profiling.

Paul Ramm Sander1, Peter Hau, Steffen Koch, Karin Schütze, Ulrich Bogdahn, Hans Robert Kalbitzer, Ludwig Aigner.   

Abstract

Stem cells offer great potential for regenerative medicine because they regenerate damaged tissue by cell replacement and/or by stimulating endogenous repair mechanisms. Although stem cells are defined by their functional properties, such as the potential to proliferate, to self-renew, and to differentiate into specific cell types, their identification based on the expression of specific markers remains vague. Here, profiles of stem cell metabolism might highlight stem cell function more than the expression of single genes/markers. Thus, systematic approaches including spectroscopy might yield insight into stem cell function, identity, and stemness. We review the findings gained by means of metabolic and spectroscopic profiling methodologies, for example, nuclear magnetic resonance spectroscopy (NMRS), mass spectrometry (MS), and Raman spectroscopy (RS), with a focus on neural stem cells and neurogenesis.
Copyright © 2013 Elsevier Ltd. All rights reserved.

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Year:  2013        PMID: 23384506     DOI: 10.1016/j.tibtech.2013.01.008

Source DB:  PubMed          Journal:  Trends Biotechnol        ISSN: 0167-7799            Impact factor:   19.536


  10 in total

Review 1.  Design, synthesis, and characterization of graphene-nanoparticle hybrid materials for bioapplications.

Authors:  Perry T Yin; Shreyas Shah; Manish Chhowalla; Ki-Bum Lee
Journal:  Chem Rev       Date:  2015-02-18       Impact factor: 60.622

2.  Gene expression signatures affected by alcohol-induced DNA methylomic deregulation in human embryonic stem cells.

Authors:  Omar Khalid; Jeffrey J Kim; Hyun-Sung Kim; Michael Hoang; Thanh G Tu; Omid Elie; Connie Lee; Catherine Vu; Steve Horvath; Igor Spigelman; Yong Kim
Journal:  Stem Cell Res       Date:  2014-04-12       Impact factor: 2.020

Review 3.  Serine, glycine and one-carbon units: cancer metabolism in full circle.

Authors:  Jason W Locasale
Journal:  Nat Rev Cancer       Date:  2013-07-04       Impact factor: 60.716

4.  In vivo and ex vivo magnetic resonance spectroscopy of the infarct and the subventricular zone in experimental stroke.

Authors:  Elena Jiménez-Xarrié; Myriam Davila; Sara Gil-Perotín; Andrés Jurado-Rodríguez; Ana Paula Candiota; Raquel Delgado-Mederos; Silvia Lope-Piedrafita; José Manuel García-Verdugo; Carles Arús; Joan Martí-Fàbregas
Journal:  J Cereb Blood Flow Metab       Date:  2015-01-21       Impact factor: 6.200

Review 5.  Methodological Developments for Metabolic NMR Spectroscopy from Cultured Cells to Tissue Extracts: Achievements, Progress and Pitfalls.

Authors:  Norbert W Lutz; Monique Bernard
Journal:  Molecules       Date:  2022-06-30       Impact factor: 4.927

6.  Analytical strategies for studying stem cell metabolism.

Authors:  James M Arnold; William T Choi; Arun Sreekumar; Mirjana Maletić-Savatić
Journal:  Front Biol (Beijing)       Date:  2015-04

7.  Profiling metabolite changes in the neuronal differentiation of human striatal neural stem cells using 1H-magnetic resonance spectroscopy.

Authors:  Yuen-Li Chung; Gehan El Akabawy; Po-Wah So; Bhavana S Solanky; Martin O Leach; Michel Modo
Journal:  Neuroreport       Date:  2013-12-18       Impact factor: 1.837

8.  Multi-platform NMR Study of Pluripotent Stem Cells Unveils Complementary Metabolic Signatures towards Differentiation.

Authors:  Bénédicte Elena-Herrmann; Emilie Montellier; Anne Fages; Reut Bruck-Haimson; Arieh Moussaieff
Journal:  Sci Rep       Date:  2020-01-31       Impact factor: 4.379

Review 9.  Glutathione peroxidases as oncotargets.

Authors:  Yang Jiao; Yirong Wang; Shanchun Guo; Guangdi Wang
Journal:  Oncotarget       Date:  2017-08-16

10.  NMR Metabolomics for Stem Cell type discrimination.

Authors:  Franca Castiglione; Monica Ferro; Evangelos Mavroudakis; Rosalia Pellitteri; Patrizia Bossolasco; Damiano Zaccheo; Massimo Morbidelli; Vincenzo Silani; Andrea Mele; Davide Moscatelli; Lidia Cova
Journal:  Sci Rep       Date:  2017-11-17       Impact factor: 4.379

  10 in total

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