ANALYSIS OF MYOGENIC MARKERS IN DUCHENNE MUSCULAR DYSTROPHY CELL MODELS
The goal of this study is to compare the in vitro differentiation potential of Duchenne Muscular Dystrophy (DMD) and non-diseased patient-derived skeletal muscle myoblasts during myogenesis. The differentiation and fusion of myoblasts into multinucleate myotubes and the maturity of these myotubes...
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The University of Arizona.
2016
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ndltd-arizona.edu-oai-arizona.openrepository.com-10150-6129632016-06-15T03:05:20Z ANALYSIS OF MYOGENIC MARKERS IN DUCHENNE MUSCULAR DYSTROPHY CELL MODELS HARNOIS, MELISSA Badarinarayana, Vasudeo Miesfeld, Roger The goal of this study is to compare the in vitro differentiation potential of Duchenne Muscular Dystrophy (DMD) and non-diseased patient-derived skeletal muscle myoblasts during myogenesis. The differentiation and fusion of myoblasts into multinucleate myotubes and the maturity of these myotubes was assessed based on morphology, immunohistochemistry (IHC) analysis of myotubes, as well as transcript profiles of myogenic markers. Human skeletal muscle myoblasts derived from three non-diseased and three DMD human patients were evaluated in multiple time course studies. Morphological evaluation as well as IHC analysis indicated that the DMD patient-derived myoblasts have diminished capacity to differentiate and form mature myotubes. Gene expression profiling also revealed significantly reduced basal transcript levels of myogenic markers in DMD patient-derived cells as well as the impaired induction of these transcripts during differentiation. 2016 text Electronic Thesis http://hdl.handle.net/10150/612963 http://arizona.openrepository.com/arizona/handle/10150/612963 en_US Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author. The University of Arizona. |
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language |
en_US |
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NDLTD |
description |
The goal of this study is to compare the in vitro differentiation potential of Duchenne Muscular
Dystrophy (DMD) and non-diseased patient-derived skeletal muscle myoblasts during
myogenesis. The differentiation and fusion of myoblasts into multinucleate myotubes and the
maturity of these myotubes was assessed based on morphology, immunohistochemistry (IHC)
analysis of myotubes, as well as transcript profiles of myogenic markers. Human skeletal muscle
myoblasts derived from three non-diseased and three DMD human patients were evaluated in
multiple time course studies. Morphological evaluation as well as IHC analysis indicated that the
DMD patient-derived myoblasts have diminished capacity to differentiate and form mature
myotubes. Gene expression profiling also revealed significantly reduced basal transcript levels of
myogenic markers in DMD patient-derived cells as well as the impaired induction of these
transcripts during differentiation. |
author2 |
Badarinarayana, Vasudeo |
author_facet |
Badarinarayana, Vasudeo HARNOIS, MELISSA |
author |
HARNOIS, MELISSA |
spellingShingle |
HARNOIS, MELISSA ANALYSIS OF MYOGENIC MARKERS IN DUCHENNE MUSCULAR DYSTROPHY CELL MODELS |
author_sort |
HARNOIS, MELISSA |
title |
ANALYSIS OF MYOGENIC MARKERS IN DUCHENNE MUSCULAR DYSTROPHY CELL MODELS |
title_short |
ANALYSIS OF MYOGENIC MARKERS IN DUCHENNE MUSCULAR DYSTROPHY CELL MODELS |
title_full |
ANALYSIS OF MYOGENIC MARKERS IN DUCHENNE MUSCULAR DYSTROPHY CELL MODELS |
title_fullStr |
ANALYSIS OF MYOGENIC MARKERS IN DUCHENNE MUSCULAR DYSTROPHY CELL MODELS |
title_full_unstemmed |
ANALYSIS OF MYOGENIC MARKERS IN DUCHENNE MUSCULAR DYSTROPHY CELL MODELS |
title_sort |
analysis of myogenic markers in duchenne muscular dystrophy cell models |
publisher |
The University of Arizona. |
publishDate |
2016 |
url |
http://hdl.handle.net/10150/612963 http://arizona.openrepository.com/arizona/handle/10150/612963 |
work_keys_str_mv |
AT harnoismelissa analysisofmyogenicmarkersinduchennemusculardystrophycellmodels |
_version_ |
1718304742586712064 |