Time course transcriptome data analysis for in vitro modeling of dilated cardiomyopathy using patient-derived induced pluripotent stem cells
| Autor: | Sybil C. L. Hrstka, Andre Terzic, Timothy M. Olson, Saranya P. Wyles, Xing Li, Jean Pierre A. Kocher, Timothy J. Nelson |
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| Jazyk: | angličtina |
| Rok vydání: | 2015 |
| Předmět: |
Applied Mathematics
Dilated cardiomyopathy Biology medicine.disease Bioinformatics Biochemistry In vitro Computer Science Applications Cell biology Transcriptome Dermal fibroblast Structural Biology Time course Gene expression Poster Presentation cardiovascular system medicine DNA microarray Induced pluripotent stem cell Molecular Biology |
| Zdroj: | BMC Bioinformatics |
| ISSN: | 1471-2105 |
| Popis: | Background Induced pluripotent stem cells (iPSCs) derived from dilated cardiomyopathy (DCM) patients offer an unprecedented platform for in vitro disease modeling[1]. Time course transcriptome analysis on the differentiation process from iPSCs to beating cardiomyocytes will reveal the holistic dynamic gene expression landscapes and pinpoint molecular deficiencies in cardiogenesis for DCM patients. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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