植物细胞中叶绿体蛋白质的亚细胞定位方法
Progress on Methods of Subcellular Localization of Chloroplast Protein in Plant Cells
DOI: 10.12677/BR.2020.93032, PDF,   
作者: 王 颜, 那 杰：辽宁师范大学生命科学学院，辽宁 大连
关键词: 叶绿体蛋白质；亚细胞定位方法；Chloroplast Protein； Subcellular Localization Methods
摘要: 叶绿体是植物光合作用的重要场所。根据不同的功能，叶绿体蛋白分布在叶绿体的不同区域。只有当蛋白质运输到特定的位置时，才能发挥其功能并参与细胞的生命活动。因此，确定蛋白质在细胞中的位置对于理解蛋白质的功能和结构是重要的。近年来，在植物蛋白质定位研究中，常用生物信息学预测法辅助实验方法，增加蛋白质定位的研究的准确性。本文对近几年来常用的叶绿体蛋白质定位研究的预测方法以及实验方法的主要进展进行综述，为高效进行叶绿体蛋白亚细胞定位方法提供参考。
Abstract: Chloroplast plays an important role in photosynthesis. Chloroplast proteins distribute in different structures in chloroplast according to their various functions. Proteins could be effective and take part in cell activities only after they are transported to special loci. Therefore, it is necessary to know the subcellular localization of chloroplast protein to understand the relationship between chloroplast structure and function. Recently, in the research of plant protein localization, some experimental methods assisted by bioinformatic prediction were used to increase the accuracy of protein localization analysis. Basic theory and main steps of these two methods were summarized in this paper in order to provide an effective method for chloroplast protein subcellular localization research.
文章引用：王颜, 那杰. 植物细胞中叶绿体蛋白质的亚细胞定位方法[J]. 植物学研究, 2020, 9(3): 268-273. https://doi.org/10.12677/BR.2020.93032

参考文献

[1] Van Wijk, K.J. (2000) Proteomics of the Chloroplast: Experimentation and Prediction. Trends in Plant Science, 5, 420-425. [Google Scholar] [CrossRef] 
[2] 齐欣, 崔继哲, 朱宏. 叶绿体的蛋白质组学研究进展[J]. 现代生物医学进展, 2007, 7(3): 440-442.
[3] Ouyang, M., Li, X., Ma, J., et al. (2011) LTD Is a Protein Required for Sorting Light-Harvesting Chlorophyll-Binding Proteins to the Chloroplast SRP Pathway. Nature Com-munications, 2, 277. [Google Scholar] [CrossRef] [PubMed]
[4] 王金辉, 李轶女, 刘惠芬, 等. 叶绿体蛋白质组学研究进展[J]. 生物技术通报, 2011(2): 1-6.
[5] Nair, R. and Rost, B. (2008) Protein Subcellular Localization Pre-diction Using Artificial Intelligence Technology. Methods in Molecular Biology, 484, 435-463. [Google Scholar] [CrossRef] [PubMed]
[6] Fujiwara, Y. and Asogawa, M. (2001) Prediction of Subcel-lular Localizations Using Amino Acid Composition and Order. Genome Informatics, 12, 103-112.
[7] 张松, 黄波, 夏学峰, 等. 蛋白质亚细胞定位的生物信息学研究[J]. 生物化学与生物物理进展, 2007, 34(6): 573-579.
[8] Du, P., Li, T. and Wang, X. (2011) Recent Progress in Predicting Protein Sub-Subcellular Locations. Expert Review of Proteomics, 8, 391-404. [Google Scholar] [CrossRef] [PubMed]
[9] Chou K C, Shen H B. (2007) Recent Progress in Protein Subcellular Location Prediction. Analytical Biochemistry, 370, 1-16. [Google Scholar] [CrossRef] [PubMed]
[10] 项新媛. 基于融合信息的蛋白质亚叶绿体定位预测研究[D]: [硕士学位论文]. 呼和浩特: 内蒙古大学, 2014.
[11] 邢浩然, 刘丽娟, 刘国振. 植物蛋白质的亚细胞定位研究进展[J]. 华北农学报, 2006, 21(s2): 1-6.
[12] Garavelli, J.S. (2010) The RESID Database of Protein Modifications as a Resource and Annotation Tool. Proteomics, 4, 1527-1533. [Google Scholar] [CrossRef] [PubMed]
[13] Du, P., Cao, S. and Li, Y. (2009) SubChlo: Predicting Protein Subchloroplast Locations with Pseudo-Amino Acid Composition and the Evidence-Theoretic K-Nearest Neighbor (ET-KNN) Algorithm. Journal of Theoretical Biology, 261, 330-335. [Google Scholar] [CrossRef] [PubMed]
[14] Du, P. and Li, Y. (2006) Prediction of Protein Submitochondria Locations by Hybridizing Pseudo-Amino Acid Composition with Various Physicochemical Features of Segmented Sequence. BMC Bioinformatics, 7, 518. [Google Scholar] [CrossRef] [PubMed]
[15] Huang, C. and Yuan, J.Q. (2013) Predicting Protein Subchloroplast Locations with Both Single and Multiple Sites via Three Different Modes of Chou’s Pseudo Amino Acid Composi-tions. Journal of Theoretical Biology, 335, 205-212. [Google Scholar] [CrossRef] [PubMed]
[16] Nakai, K. and Horton, P. (1999) PSORT: A Program for Detecting Sorting Signals in Proteins and Predicting Their Subcellular Localization. Trends in Biochemical Sciences, 24, 34-36. [Google Scholar] [CrossRef] 
[17] Emanuelsson, O., Nielsen, H., Brunak, S., et al. (2000) Predicting Subcellular Localization of Proteins Based on Their N-Terminal Amino Acid Sequence. Journal of Molecular Biology, 300, 1005-1016. [Google Scholar] [CrossRef] [PubMed]
[18] Chou, K.C. (2000) Prediction of Protein Subcellular Locations by Incorporating Quasi-Sequence-Order Effect. Biochemical and Biophysical Research Communications, 278, 477-483. [Google Scholar] [CrossRef] [PubMed]
[19] 王瑞雪, 李前忠, 闫振河, 等. 基于多信息融合的亚叶绿体定位预测研究[J]. 内蒙古大学学报(自然版), 2017(1): 80-90.
[20] 项新媛, 李前忠. 蛋白质的进化与结构信息对亚叶绿体蛋白定位的预测[J]. 内蒙古大学学报(自然版), 2013(6): 589-596.
[21] Shi, W., Punta, M., Bohon, J., et al. (2011) Characterization of Metalloproteins by High-Throughput X-Ray Absorption Spectroscopy. Genome Research, 21, 898. [Google Scholar] [CrossRef] [PubMed]
[22] 沈金城, 张松, 孙之荣. 一种基于GO分子功能信息的序列编码辅助预测亚细胞定位方法[J]. 科学通报, 2007, 52(13): 1536-1541. [Google Scholar] [CrossRef] 
[23] Smith, M.C.M. (1991) Molecular Biological Methods for Ba-cillus. FEBS Letters, 287, 227. [Google Scholar] [CrossRef] 
[24] 孙琳琳, 佟少明, 侯和胜. 拟南芥叶肉原生质体分离条件的优化[J]. 植物生理学报, 2009, 45(3): 282-284.
[25] 于一帆, 朱小彬, 葛会敏, 等. 基于绿色荧光蛋白瞬时表达的植物亚细胞定位方法[J]. 江苏农业科学, 2014, 42(12): 58-61.
[26] Stülke, J. and Hillen, W. (2000) Regulation of Carbon Catabolism in Bacillus Species. Annual Review of Microbiology, 54, 849-880. [Google Scholar] [CrossRef] [PubMed]
[27] 李楠, 王黎明. 激光共聚焦显微镜的原理和应用[J]. 军医进修学院学报, 1996(3): 232-234.
[28] 赵启韬, 苗俊英. 激光共聚焦显微镜在生物医学研究中的应用[J]. 北京生物医学工程, 2003, 22(1): 52-54. [Google Scholar] [CrossRef] 
[29] 霍霞, 吕建勋, 杨仁东, 等. 激光共聚焦显微镜与光学显微镜之比较[J]. 激光生物学报, 2001, 10(1): 76-79.
[30] 刘玥, 尹悦佳, 梁重阳, 等. 3D-SIM结构照明超分辨率显微镜实现蛋白质在植物亚细胞器内的定位[J]. 植物学报, 2015, 50(4): 495-503.
[31] Zheng, C.Y., Wang, Y.X., Kachar, B., et al. (2011) Differential Localization of SAP102 and PSD-95 Is Revealed in Hippocampal Spines Using Super-Resolution Light Microscopy. Communicative & Integrative Biology, 4, 104-105. [Google Scholar] [CrossRef] [PubMed]
[32] Tanos, B.E., Yang, H.J., Soni, R., et al. (2013) Centriole Distal Appen-dages Promote Membrane Docking, Leading to Cilia Initiation. Genes & Development, 27, 163-168. [Google Scholar] [CrossRef] [PubMed]