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Retinoic Acid-Dependent Signaling Pathways and Lineage Events in the Developing Mouse Spinal Cord

Overview of attention for article published in PLOS ONE, March 2012
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Title
Retinoic Acid-Dependent Signaling Pathways and Lineage Events in the Developing Mouse Spinal Cord
Published in
PLOS ONE, March 2012
DOI 10.1371/journal.pone.0032447
Pubmed ID
Authors

Marie Paschaki, Song-Chang Lin, Rebecca Lee Yean Wong, Richard H. Finnell, Pascal Dollé, Karen Niederreither

Abstract

Studies in avian models have demonstrated an involvement of retinoid signaling in early neural tube patterning. The roles of this signaling pathway at later stages of spinal cord development are only partly characterized. Here we use Raldh2-null mouse mutants rescued from early embryonic lethality to study the consequences of lack of endogenous retinoic acid (RA) in the differentiating spinal cord. Mid-gestation RA deficiency produces prominent structural and molecular deficiencies in dorsal regions of the spinal cord. While targets of Wnt signaling in the dorsal neuronal lineage are unaltered, reductions in Fibroblast Growth Factor (FGF) and Notch signaling are clearly observed. We further provide evidence that endogenous RA is capable of driving stem cell differentiation. Raldh2 deficiency results in a decreased number of spinal cord derived neurospheres, which exhibit a reduced differentiation potential. Raldh2-null neurospheres have a decreased number of cells expressing the neuronal marker β-III-tubulin, while the nestin-positive cell population is increased. Hence, in vivo retinoid deficiency impaired neural stem cell growth. We propose that RA has separable functions in the developing spinal cord to (i) maintain high levels of FGF and Notch signaling and (ii) drive stem cell differentiation, thus restricting both the numbers and the pluripotent character of neural stem cells.

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Mendeley readers

The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Portugal 1 1%
Sweden 1 1%
France 1 1%
Unknown 69 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 30%
Researcher 14 19%
Student > Master 9 12%
Student > Bachelor 7 10%
Professor > Associate Professor 3 4%
Other 7 10%
Unknown 11 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 34 47%
Biochemistry, Genetics and Molecular Biology 10 14%
Neuroscience 8 11%
Medicine and Dentistry 2 3%
Business, Management and Accounting 1 1%
Other 4 5%
Unknown 14 19%