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		题名	作者	年代	出处	被引量
	1	Degradation of Gelatin and Collagen by Serine Proteinase of Asperginus sydowi显示文摘	Masaaki Shinozuka Masaru Iizuka	1996	Journal of Fermentation And Bioengineering1996，81，5：	1
	2	Corrigendum to “Lysophosphatidylcholine enhances glucose-dependent insulin secretion via an orphan G-protein-coupled receptor” [Biochem. Biophys. Res. Commun. 326 (2005) 744–751]显示文摘	Takatoshi Soga Takahide Ohishi Tetsuo Matsui Tetsu Saito Mitsuyuki Matsumoto Jun Takasaki Shun-ichiro Matsumoto Masazumi Kamohara Hideki Hiyama Shigeru Yoshida Kazuhiro Momose Yoshitaka Ueda Hitoshi Matsushime Masato Kobori Kiyoshi Furuichi	2005	Biochemical and Biophysical Research Communications2005，，1：	1
	3	Degradation of Gelatin and Collagen by Serine Proteinase of Aspergillus sydowi 显示文摘	Masato Hiyama Masaaki Shinozuka Masaru Iizuka	1996	Journal of Fermentation And Bioengineering1996，81，5：	1
	4	Aldehyde dehydrogenase activity helps identify a subpopulation of murine adipose-derived stem cells with enhanced adipogenic and osteogenic differentiation potential显示文摘AIM To identify and characterize functionally distinct subpopulation of adipose-derived stem cells(ADSCs).METHODS ADSCs cultured from mouse subcutaneous adipose tissue were sorted fluorescence-activated cell sorter based on aldehyde dehydrogenase(ALDH) activity, a widely used stem cell marker. Differentiation potentials were analyzed by utilizing immunocytofluorescece and its quantitative analysis.RESULTS Approximately 15% of bulk ADSCs showed high ALDH activity in flow cytometric analysis. Although significant difference was not seen in proliferation capacity, the adipogenic and osteogenic differentiation capacity was higher in ALDHHi subpopulations than in ALDHLo. Gene set enrichment analysis revealed that ribosome-related gene sets were enriched in the ALDHHi subpopulation. CONCLUSION High ALDH activity is a useful marker for identifying functionally different subpopulations in murine ADSCs. Additionally, we suggested the importance of ribosome for differentiation of ADSCs by gene set enrichment analysis.	Harumichi Itoh Shimpei Nishikawa Tomoya Haraguchi Yu Arikawa Shotaro Eto Masato Hiyama Toshie Iseri Yoshiki Itoh Munekazu Nakaichi Yusuke Sakai Kenji Tani Yasuho Taura Kazuhito Itamoto	2017	World Journal of Stem Cells2017，9，10：	1

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