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Neural stem cells for spinal cord repair

Overview of attention for article published in Cell and Tissue Research, March 2012
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Title
Neural stem cells for spinal cord repair
Published in
Cell and Tissue Research, March 2012
DOI 10.1007/s00441-012-1363-2
Pubmed ID
Authors

Beatrice Sandner, Peter Prang, Francisco J. Rivera, Ludwig Aigner, Armin Blesch, Norbert Weidner

Abstract

Spinal cord injury (SCI) causes the irreversible loss of spinal cord parenchyma including astroglia, oligodendroglia and neurons. In particular, severe injuries can lead to an almost complete neural cell loss at the lesion site and structural and functional recovery might only be accomplished by appropriate cell and tissue replacement. Stem cells have the capacity to differentiate into all relevant neural cell types necessary to replace degenerated spinal cord tissue and can now be obtained from virtually any stage of development. Within the last two decades, many in vivo studies in small animal models of SCI have demonstrated that stem cell transplantation can promote morphological and, in some cases, functional recovery via various mechanisms including remyelination, axon growth and regeneration, or neuronal replacement. However, only two well-documented neural-stem-cell-based transplantation strategies have moved to phase I clinical trials to date. This review aims to provide an overview about the current status of preclinical and clinical neural stem cell transplantation and discusses future perspectives in the field.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 3%
Chile 1 1%
United Kingdom 1 1%
Italy 1 1%
Spain 1 1%
Korea, Republic of 1 1%
Unknown 84 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 20%
Researcher 18 20%
Student > Bachelor 16 17%
Student > Master 10 11%
Professor 6 7%
Other 13 14%
Unknown 11 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 35 38%
Neuroscience 17 18%
Medicine and Dentistry 12 13%
Biochemistry, Genetics and Molecular Biology 6 7%
Engineering 4 4%
Other 5 5%
Unknown 13 14%