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树鼩全基因组分泌蛋白的预测分析
引用本文:罕园园,马开利.树鼩全基因组分泌蛋白的预测分析[J].中国比较医学杂志,2014,24(4):33-37.
作者姓名:罕园园  马开利
作者单位:中国医学科学院医学生物学研究所,中国医学科学院医学生物学研究所
基金项目:国家自然科学基金(81301073);高等学校博士学科点专项科研基金新教师类资助课题(20121106120056);云南省应用基础项目(2013FZ132);协和青年基金—中央高校基本科研业务费专项资金(3332013083)。
摘    要:目的综合了解树鼩的分泌蛋白的信息。方法利用真核生物分泌蛋白预测流程EuSecPred 2.0对树鼩的分泌蛋白进行全基因组预测,并对获得的分泌蛋白及所携带的信号肽进行系统分析。结果树鼩全基因组蛋白基因中鉴定获得279个分泌蛋白,占基因组全部编码基因的7.2%。对其功能和结构域进行注释分析,发现了以水解酶类、行使蛋白结合与离子结合功能蛋白质及初级代谢过程相关蛋白为主的分泌蛋白。氨基酸组成分析表明,树鼩分泌蛋白及其信号肽主要由疏水性氨基酸组成,信号肽剪切位点有部分亲水性氨基酸的存在。基序分析发现,分泌蛋白信号肽中未存在保守基序,而分泌蛋白内部存在GxHxCGGFSV]LIV]RAS]EP]DWF]VLTAAHC、KG]PPGVYF]TRK]VI]SC]xYF]VL]DS]WIQxTV]MI]RK]、DT]SA]CF]QK]GDSGGPLVCNGVLA]QGIL]V、GYHL]FL]CGGSAT]LILV]SEDP]CR]WVLV]TS]AAHCF、NIV]FI]FSPLV]SIV]SA]TA]ALAMLSLGAT]xNDTLTQIL]LEQ]GV]LGFND]LTES]TSP]E 5种基序。结论在全基因组范围对树鼩分泌蛋白进行预测分析,有助于进一步研究树鼩机体功能调控机制及动物模型的开发。

关 键 词:树鼩  基因组  分泌蛋白  信号肽  基序
收稿时间:2013/12/4 0:00:00
修稿时间:2014/2/18 0:00:00

A Genome-wide Prediction and Analysis on Secreted Proteins of Tupaia Chinensis
HAN Yuan-yuan and MA Kai-li.A Genome-wide Prediction and Analysis on Secreted Proteins of Tupaia Chinensis[J].Chinese Journal of Comparative Medicine,2014,24(4):33-37.
Authors:HAN Yuan-yuan and MA Kai-li
Affiliation:Center for Drug Safety Evaluation and Research, Institute of Medical Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Kunming 650118, China;Center for Drug Safety Evaluation and Research, Institute of Medical Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Kunming 650118, China
Abstract:Objective To better understand the information of secreted proteins of Tupaia Chinensis.Methods The internet-based software EuSecPred 2.0 and other mapping software were collectively used to predict and analyze the genome-wide secreted proteins. Results There were 279 secreted proteins, accounting for 7.2% of the total proteins encoded by genome sequences. The function and structure of the domain annotation analysis found that they were mainly hydrolases, protein/ion binding proteins and the primary metabolic process-associated proteins. Amino acid composition analysis showed that the signal peptide secreted proteins were mainly composed of hydrophobic amino acids, and there existed some hydrophilic amino acids in the signal peptide cleavage site. Motif analysis revealed no presence of conserved motifs in signal peptide, however, five kinds of motifs existed inside the secreted proteins. Conclusion Genome-wide predictive analysis of secreted proteins of tree shrews is helpful for further study of the regulation of body functions in tree shrews, and for developing mechanism studies and animal models researches.
Keywords:Tree shrew  Tupaia chinensis  Genome  Genome sequences  Secreted proteins  Signal peptide
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