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寻找大麦、小麦、水稻和玉米蛋白质的亚细胞定位:带注释定位的作物蛋白质汇编(cropPAL)。

Finding the Subcellular Location of Barley, Wheat, Rice and Maize Proteins: The Compendium of Crop Proteins with Annotated Locations (cropPAL).

作者信息

Hooper Cornelia M, Castleden Ian R, Aryamanesh Nader, Jacoby Richard P, Millar A Harvey

机构信息

ARC Centre of Excellence in Plant Energy Biology, The University of Western Australia, Crawley, WA 6009, Australia

ARC Centre of Excellence in Plant Energy Biology, The University of Western Australia, Crawley, WA 6009, Australia.

出版信息

Plant Cell Physiol. 2016 Jan;57(1):e9. doi: 10.1093/pcp/pcv170. Epub 2015 Nov 9.

Abstract

Barley, wheat, rice and maize provide the bulk of human nutrition and have extensive industrial use as agricultural products. The genomes of these crops each contains >40,000 genes encoding proteins; however, the major genome databases for these species lack annotation information of protein subcellular location for >80% of these gene products. We address this gap, by constructing the compendium of crop protein subcellular locations called crop Proteins with Annotated Locations (cropPAL). Subcellular location is most commonly determined by fluorescent protein tagging of live cells or mass spectrometry detection in subcellular purifications, but can also be predicted from amino acid sequence or protein expression patterns. The cropPAL database collates 556 published studies, from >300 research institutes in >30 countries that have been previously published, as well as compiling eight pre-computed subcellular predictions for all Hordeum vulgare, Triticum aestivum, Oryza sativa and Zea mays protein sequences. The data collection including metadata for proteins and published studies can be accessed through a search portal http://crop-PAL.org. The subcellular localization information housed in cropPAL helps to depict plant cells as compartmentalized protein networks that can be investigated for improving crop yield and quality, and developing new biotechnological solutions to agricultural challenges.

摘要

大麦、小麦、水稻和玉米提供了大部分人类营养,并且作为农产品有广泛的工业用途。这些作物的基因组各自包含超过40,000个编码蛋白质的基因;然而,这些物种的主要基因组数据库中,超过80%的这些基因产物缺乏蛋白质亚细胞定位的注释信息。我们通过构建名为作物带注释位置蛋白质(cropPAL)的作物蛋白质亚细胞定位汇编来填补这一空白。亚细胞定位最常见的确定方法是通过活细胞的荧光蛋白标记或亚细胞纯化中的质谱检测,但也可以从氨基酸序列或蛋白质表达模式进行预测。cropPAL数据库整理了来自30多个国家300多个研究机构先前发表的556项已发表研究,以及为所有大麦、小麦、水稻和玉米蛋白质序列汇编的八个预先计算的亚细胞预测结果。包括蛋白质元数据和已发表研究的数据收集可通过搜索门户http://crop-PAL.org访问。cropPAL中包含的亚细胞定位信息有助于将植物细胞描绘为可进行研究以提高作物产量和质量、并开发应对农业挑战的新生物技术解决方案的分区蛋白质网络。

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