Kumar Manish, Mohanty Ajeet Kumar, Dey Gourav, Sreenivasamurthy Sreelakshmi K, Kumar Ashwani, Prasad Keshava
Institute of Bioinformatics, International Technology Park, Bangalore 560066, Karnataka, India.
Manipal Academy of Higher Education, Manipal 576104, Karnataka, India.
Data Brief. 2019 Jan 11;22:1068-1073. doi: 10.1016/j.dib.2019.01.016. eCollection 2019 Feb.
Fat body from female mosquitoes were dissected and processed for proteomic analysis. Both SDS-PAGE and basic Reverse Phase Liquid Chromatography-based fractionation strategies were used to achieve a broad coverage of protein identification. The fractionated peptides were then analyzed on a high-resolution mass spectrometer. Searching the raw data against the protein database of resulted in identification of 4535 proteins, which is, to our knowledge, the largest catalog of fat body proteome in any mosquito vector species reported so far. Bioinformatics analysis on these fat body proteins suggested the enrichment of biological processes including carbon and lipid metabolism, amino acid metabolism, signal peptide processing and oxidation-reduction. In addition, using proteogenomic approaches, 43 novel proteins were identified, which were not listed in the annotated gene annotations of . The data used in the analysis are related to the article 'Integrating transcriptomic and proteomic data for accurate assembly and annotation of genomes' (Prasad et al., 2017).
解剖雌性蚊子的脂肪体并进行处理以进行蛋白质组学分析。采用SDS-PAGE和基于反相液相色谱的分级分离策略，以实现蛋白质鉴定的广泛覆盖。然后在高分辨率质谱仪上分析分级分离的肽段。将原始数据与……的蛋白质数据库进行比对，鉴定出4535种蛋白质，据我们所知，这是迄今为止报道的任何蚊媒物种中最大的脂肪体蛋白质组目录。对这些脂肪体蛋白质的生物信息学分析表明，包括碳和脂质代谢、氨基酸代谢、信号肽加工和氧化还原在内的生物过程得到了富集。此外，使用蛋白质基因组学方法，鉴定出43种新蛋白质，这些蛋白质未列在……的注释基因注释中。分析中使用的数据与文章《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）相关。
