光谱学与光谱分析 |
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Sorts and Disaccharide Composition Analysis of Glycosaminoglycans from Rat Kidney |
WANG Hao, YU Guang-li*, ZHAO Xia, HAO Cui, LI Guang-sheng, WANG Pei-pei |
Key Laboratory of Glycoscience and Glycoengineering of Shandong Province, School of Medicine and Pharmacy, Ocean University of China, Qingdao 266003, China |
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Abstract Glycosaminoglycans(GAGs) were extracted and purified from Wistar rat kidneys by two-step enzymatic hydrolysis and ion exchange chromatography. The sorts of GAGs were identified by electrophoresis on cellulose acetate membrane and separated on a weak anion-exchange column. Those purified GAGs were further totally hydrolyzed with specific glycosaminoglycan lyases. Their disaccharides composition and fine structures were analyzed with SAX-HPLC. The results indicated that GAGs in rat kindeys were mainly composed of heparan sulfate and small amount of dermatan sulfate. Eight kinds of disaccharides were found in heparan sulfate, and the content of acetyl-containing disaccharides was 77.6%, while nonsulfated disaccharides were 59.7%. In dermatan sulfate, six kinds of disaccharides were found. The content of monosulfated disaccharides was 49.8%, and nonsulfated disaccharides were 32.9%.
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Received: 2009-09-27
Accepted: 2009-11-03
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Corresponding Authors:
YU Guang-li
E-mail: glyu@ouc.edu.cn
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[1] Knudson W, Biswas C, Li X Q, et al. Ciba. Found. Symp., 1989, 143: 159. [2] Iozzo R V. Annu. Rev. Biochem., 1998, 67: 609. [3] Capila I, Linhardt R J. Angew. Chem. Int. Ed. Engl., 2002, 41: 391. [4] Warda M, Linhardt R J. Comparative Biochemistry and Physiology, 2006, 143: 37. [5] Vongchan P, Warda M, Toyoda H, et al. Biochim. Biophys. Acta, 2005, 1721: 1. [6] Zhang F, Zhang Z, Thistle R, et al. Glycoconj. J., 2009, 26: 211. [7] Lü Huizhong, Yu Guangli, Sun Lingling, et al. Oncology, 2007, 72: 347. [8] Wijnhoven T J, Lensen J F, Rops A L, et al. Am. J. Kidney Dis., 2006, 48(2): 250. [9] Poplawska-Kita A, Mierzejewska-Iwanowska B, Szelachowska M, et al. Diabetes Metab. Res. Rev., 2008, 24(4): 310. [10] WANG Hao, YU Guang-li, ZHAO Xia, et al(王 皓,于广利,赵 峡, 等). Chin. J. Biochem. Mol. Biol.(中国生物化学与分子生物学报), 2009, 25(2): 193. [11] Bitter T, Muir H M. Analytical Biochemistry, 1962, 4: 330. [12] WANG Hao, YU Guang-li, ZHAO Xia, et al(王 皓,于广利,赵 峡, 等). Chinese J. Anal. Chem.(分析化学), 2009, 37(8): 1147. [13] Theocharis A D, Vynios D H, Papageorgakopoulou N, et al. Int. J. Biochem. Cell Biol., 2003, 35: 376.
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