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Phasor Fluorescence Lifetime Microscopy of Free and Protein-Bound NADH Reveals Neural Stem Cell Differentiation Potential

Overview of attention for article published in PLOS ONE, November 2012
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Title
Phasor Fluorescence Lifetime Microscopy of Free and Protein-Bound NADH Reveals Neural Stem Cell Differentiation Potential
Published in
PLOS ONE, November 2012
DOI 10.1371/journal.pone.0048014
Pubmed ID
Authors

Chiara Stringari, Jamison L. Nourse, Lisa A. Flanagan, Enrico Gratton

Abstract

In the stem cell field there is a lack of non invasive and fast methods to identify stem cell's metabolic state, differentiation state and cell-lineage commitment. Here we describe a label-free method that uses NADH as an intrinsic biomarker and the Phasor approach to Fluorescence Lifetime microscopy to measure the metabolic fingerprint of cells. We show that different metabolic states are related to different cell differentiation stages and to stem cell bias to neuronal and glial fate, prior the expression of lineage markers. Our data demonstrate that the NADH FLIM signature distinguishes non-invasively neurons from undifferentiated neural progenitor and stem cells (NPSCs) at two different developmental stages (E12 and E16). NPSCs follow a metabolic trajectory from a glycolytic phenotype to an oxidative phosphorylation phenotype through different stages of differentiation. NSPCs are characterized by high free/bound NADH ratio, while differentiated neurons are characterized by low free/bound NADH ratio. We demonstrate that the metabolic signature of NPSCs correlates with their differentiation potential, showing that neuronal progenitors and glial progenitors have a different free/bound NADH ratio. Reducing conditions in NPSCs correlates with their neurogenic potential, while oxidative conditions correlate with glial potential. For the first time we show that FLIM NADH metabolic fingerprint provides a novel, and quantitative measure of stem cell potential and a label-free and non-invasive means to identify neuron- or glial- biased progenitors.

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Geographical breakdown

Country Count As %
Netherlands 1 <1%
France 1 <1%
Italy 1 <1%
Australia 1 <1%
United Kingdom 1 <1%
United States 1 <1%
Unknown 186 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 46 24%
Researcher 33 17%
Student > Master 16 8%
Student > Bachelor 14 7%
Student > Postgraduate 10 5%
Other 27 14%
Unknown 46 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 37 19%
Biochemistry, Genetics and Molecular Biology 32 17%
Engineering 27 14%
Physics and Astronomy 17 9%
Medicine and Dentistry 9 5%
Other 18 9%
Unknown 52 27%