Patavardhan Sachin S, Awasthi Kriti, Suresh Suhasini, Subba Pratigya, Najar Mohd Altaf, D'Souza Leo, Nivas Shashi Kiran, Prasad Thottethodi Subrahmanya Keshava
Laboratory of Applied Biology, St Aloysius College (Autonomous), Mangalore, India.
Department of Biosciences, Mangalore University, Mangalore, India.
Data Brief. 2021 Apr 25;36:107095. doi: 10.1016/j.dib.2021.107095. eCollection 2021 Jun.
The dataset presented in this article is associated with the TMT (Tandem mass tag) labeled proteomics of chili pepper plant () infested by a broad mite (). Data was captured using a nano liquid chromatography system coupled with high-resolution Orbitrap FusionTribridmass spectrometer. Proteomics data was analyzed using the Proteome Discoverer version 2.4 tool using MASCOT and SequestHT algorithms. We have identified a total of 5,807 proteins supported by 48,555 unique peptides and 1,279,655 peptide-spectrum matches. Individually, 5,186 proteins were detected in healthy leaf samples, 5,193 in infested leaf sample, 5,194 proteins in healthy meristem sample, and 5,196 proteins in infested meristem samples. Datasets obtained from reciprocal blast against the proteome database enabled the prediction of protein-protein interactions, and subcellular localization of differentially expressed proteins, which are also included in this article. Data presented in this article has been deposited in the ProteomeXchange Consortium via the PRIDE repository, which can be accessed through the accession ID: PXD018653.
本文呈现的数据集与受侧多食跗线螨侵染的辣椒植株的串联质谱标签(TMT)标记蛋白质组学相关。数据是使用与高分辨率轨道阱Fusion Tribrid质谱仪联用的纳升液相色谱系统采集的。蛋白质组学数据使用Proteome Discoverer 2.4工具,采用MASCOT和SequestHT算法进行分析。我们总共鉴定出5807种蛋白质,这些蛋白质得到48555条独特肽段和1279655个肽段-谱图匹配的支持。单独来看,在健康叶片样本中检测到5186种蛋白质,在受侵染叶片样本中检测到5193种,在健康分生组织样本中检测到5194种蛋白质,在受侵染分生组织样本中检测到5196种蛋白质。通过与辣椒蛋白质组数据库的相互比对获得的数据集能够预测蛋白质-蛋白质相互作用以及差异表达蛋白质的亚细胞定位,本文也包含这些内容。本文呈现的数据已通过PRIDE资源库存入蛋白质组交换联盟,可通过登录号PXD018653进行访问。