Intricate interplay between astrocytes and motor neurons in ALS
ALS results from the selective and progressive degeneration of motor neurons. Although the underlying disease mechanisms remain unknown, glial cells have been implicated in ALS disease progression. Here, we examine the effects of glial cell/motor neuron interactions on gene expression using the hSOD...
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Published in | Proceedings of the National Academy of Sciences - PNAS Vol. 110; no. 8; pp. E756 - E765 |
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Main Authors | , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
National Academy of Sciences
19.02.2013
National Acad Sciences |
Series | PNAS Plus |
Subjects | |
Online Access | Get full text |
ISSN | 0027-8424 1091-6490 1091-6490 |
DOI | 10.1073/pnas.1222361110 |
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Summary: | ALS results from the selective and progressive degeneration of motor neurons. Although the underlying disease mechanisms remain unknown, glial cells have been implicated in ALS disease progression. Here, we examine the effects of glial cell/motor neuron interactions on gene expression using the hSOD1 ᴳ⁹³ᴬ (the G93A allele of the human superoxide dismutase gene) mouse model of ALS. We detect striking cell autonomous and nonautonomous changes in gene expression in cocultured motor neurons and glia, revealing that the two cell types profoundly affect each other. In addition, we found a remarkable concordance between the cell culture data and expression profiles of whole spinal cords and acutely isolated spinal cord cells during disease progression in the G93A mouse model, providing validation of the cell culture approach. Bioinformatics analyses identified changes in the expression of specific genes and signaling pathways that may contribute to motor neuron degeneration in ALS, among which are TGF-β signaling pathways. |
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Bibliography: | http://dx.doi.org/10.1073/pnas.1222361110 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 ObjectType-Article-1 ObjectType-Feature-2 content type line 23 2Present address: Department of Bioinformatics and Computational Biology, Genentech, Inc., South San Francisco, CA 94080. 1P.G. and B.A.F. contributed equally to this work. Author contributions: H.P.P., J.C.T., and T.M. designed research; H.P.P., P.G., B.A.F., M.A.C., C.N., K.M.N., S.K.M., and J.C.T. performed research; H.P.P., P.G., B.A.F., M.A.C., M.M., S.O., F.P.-B., and R.M.M. contributed new reagents/analytic tools; H.P.P., P.G., B.A.F., M.A.C., M.M., S.O., F.P.-B., J.C.T., R.M.M., and T.M. analyzed data; and H.P.P., P.G., B.A.F., J.C.T., R.M.M., and T.M. wrote the paper. Contributed by Tom Maniatis, January 2, 2013 (sent for review December 6, 2012) |
ISSN: | 0027-8424 1091-6490 1091-6490 |
DOI: | 10.1073/pnas.1222361110 |