MicroRNAs Analysis of Neural Stem Cell Differentiation on POMA Fibers
碩士 === 中原大學 === 生物科技研究所 === 101 === The application of nanofibers in tissue engineering offers an option and hope of cellular therapy, especially in the central nervous system. A novel nano substrate poly-(o-methoxyaniline)(POMA) were seeded with neural stem cells and found to have more differential...
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ndltd-TW-101CYCU51110082015-10-13T22:40:30Z http://ndltd.ncl.edu.tw/handle/44212149210284852921 MicroRNAs Analysis of Neural Stem Cell Differentiation on POMA Fibers 神經幹細胞於奈米基材POMA上分化之MicroRNAs表現分析 Meng-Te Lin 林孟德 碩士 中原大學 生物科技研究所 101 The application of nanofibers in tissue engineering offers an option and hope of cellular therapy, especially in the central nervous system. A novel nano substrate poly-(o-methoxyaniline)(POMA) were seeded with neural stem cells and found to have more differential efficiency compared with PDL. The epigenetic mechanism of neural stem cells differentiation on POMA had been analyzed by PSSH before. Hence, to understand its properties, differentially expressed miRNAs targets of neural stem cells on POMA, PDL-coated glass were identified by microRNA microarray. We clustered miRNA target genes via Ingenuity Pathway Analysis (IPA) based on their functions and roles in neural cell differentiation. Sixteen differentially expressed genes were selected with significant role in neural stem cells differentiation in both POMA and PDL: eight (CYTH2, DOCK1, FGFR1, FNBP1, MSN, PACSIN1, SEPT11, RIMS4) in neuritogenesis, four (ERBB2, RB1, CPEB1, IGF-1) in proliferation and four (ERBB2, NCAM1, RIMS4, IGF-1) in differentiation. However, three genes had opposite regulation direction in POMA and PDL, which are L1CAM, NFASC and NTRK2. These predicted genes need further confirmations. In conclusion, POMA fibers could be a candidate as a scaffold for NSC differentiation in miRNAs level. Chung-Yung Chen 陳中庸 2013 學位論文 ; thesis 73 en_US |
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碩士 === 中原大學 === 生物科技研究所 === 101 === The application of nanofibers in tissue engineering offers an option and hope of cellular therapy, especially in the central nervous system. A novel nano substrate poly-(o-methoxyaniline)(POMA) were seeded with neural stem cells and found to have more differential efficiency compared with PDL. The epigenetic mechanism of neural stem cells differentiation on POMA had been analyzed by PSSH before. Hence, to understand its properties, differentially expressed miRNAs targets of neural stem cells on POMA, PDL-coated glass were identified by microRNA microarray. We clustered miRNA target genes via Ingenuity Pathway Analysis (IPA) based on their functions and roles in neural cell differentiation. Sixteen differentially expressed genes were selected with significant role in neural stem cells differentiation in both POMA and PDL: eight (CYTH2, DOCK1, FGFR1, FNBP1, MSN, PACSIN1, SEPT11, RIMS4) in neuritogenesis, four (ERBB2, RB1, CPEB1, IGF-1) in proliferation and four (ERBB2, NCAM1, RIMS4, IGF-1) in differentiation. However, three genes had opposite regulation direction in POMA and PDL, which are L1CAM, NFASC and NTRK2. These predicted genes need further confirmations. In conclusion, POMA fibers could be a candidate as a scaffold for NSC differentiation in miRNAs level.
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author2 |
Chung-Yung Chen |
author_facet |
Chung-Yung Chen Meng-Te Lin 林孟德 |
author |
Meng-Te Lin 林孟德 |
spellingShingle |
Meng-Te Lin 林孟德 MicroRNAs Analysis of Neural Stem Cell Differentiation on POMA Fibers |
author_sort |
Meng-Te Lin |
title |
MicroRNAs Analysis of Neural Stem Cell Differentiation on POMA Fibers |
title_short |
MicroRNAs Analysis of Neural Stem Cell Differentiation on POMA Fibers |
title_full |
MicroRNAs Analysis of Neural Stem Cell Differentiation on POMA Fibers |
title_fullStr |
MicroRNAs Analysis of Neural Stem Cell Differentiation on POMA Fibers |
title_full_unstemmed |
MicroRNAs Analysis of Neural Stem Cell Differentiation on POMA Fibers |
title_sort |
micrornas analysis of neural stem cell differentiation on poma fibers |
publishDate |
2013 |
url |
http://ndltd.ncl.edu.tw/handle/44212149210284852921 |
work_keys_str_mv |
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