Dey Gourav, Mohanty Ajeet Kumar, Kumar Manish, Sreenivasamurthy Sreelakshmi K, Kumar Ashwani, Prasad T S Keshava
Center for Systems Biology and Molecular Medicine, Yenepoya Research Centre, Yenepoya (Deemed to be University), Mangalore 575018, India.
Institute of Bioinformatics, Discoverer Building, International Tech Park, Bangalore 560066, India.
Data Brief. 2018 Apr 24;18:1441-1447. doi: 10.1016/j.dib.2018.04.031. eCollection 2018 Jun.
The article provides insights into the protein expression in hemolymph. We carried out data acquisition using a high-resolution LTQ-Orbitrap Velos mass spectrometer to identify the hemolymph proteins of . Experimentally derived mass spectrometry data was analyzed using Proteome Discoverer 2.1 software using two different search algorithms SEQUEST and MASCOT. A total of 1091 proteins were identified from the hemolymph. The identified proteins were categorized for their role in biological processes and molecular functions. The interactions between these proteins were predicted using STRING online tool. Relation can be drawn between the data provided in this study to the already published article "Integrating transcriptomics and proteomics data for accurate assembly and annotation of genomes" (Prasad et al., 2017) [1].
本文对血淋巴中的蛋白质表达进行了深入研究。我们使用高分辨率LTQ-Orbitrap Velos质谱仪进行数据采集，以鉴定[具体研究对象]的血淋巴蛋白质。实验获得的质谱数据使用Proteome Discoverer 2.1软件，通过两种不同的搜索算法SEQUEST和MASCOT进行分析。从血淋巴中总共鉴定出1091种蛋白质。对鉴定出的蛋白质根据其在生物过程和分子功能中的作用进行了分类。使用STRING在线工具预测了这些蛋白质之间的相互作用。本研究提供的数据与已发表的文章《整合转录组学和蛋白质组学数据以进行基因组的准确组装和注释》（Prasad等人，2017年）[1]之间可以建立联系。
