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使用高分辨率质谱分析的唾液腺蛋白质组数据。

Proteome data of salivary glands using high-resolution mass spectrometry analysis.

作者信息

Dey Gourav, Mohanty Ajeet Kumar, Sreenivasamurthy Sreelakshmi K, Kumar Manish, Keshava Prasad T S, Kumar Ashwani

机构信息

Center for Systems Biology and Molecular Medicine, Yenepoya Research Centre, Yenepoya (Deemed to be University), Mangalore 575018, India.

Institute of Bioinformatics, International Tech Park, Bangalore 560066, India.

出版信息

Data Brief. 2018 Nov 27;21:2554-2561. doi: 10.1016/j.dib.2018.11.070. eCollection 2018 Dec.

DOI:10.1016/j.dib.2018.11.070
PMID:30761337
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6288417/
Abstract

The data article reports data of the proteins expressed in female salivary glands. Proteomic data were acquired using high-resolution mass spectrometers - Orbitrap-Velos and Orbitrap-Elite. Samples derived from adult female salivary glands led to the identification of 4390 proteins. Mass spectrometry data were analyzed on Proteome Discoverer (Version 2.1) platform with Sequest and Mascot search engines. The identified proteins were analyzed for their Gene Ontology annotation, interaction network and their possible roles in vector-parasite interaction. The data provided here are related to our published article "Integrating transcriptomics and proteomics data for accurate assembly and annotation of genomes" (Prasad et al., 2017) [1].

摘要

该数据文章报告了雌性唾液腺中表达的蛋白质的数据。蛋白质组学数据是使用高分辨率质谱仪——Orbitrap-Velos和Orbitrap-Elite获取的。来自成年雌性唾液腺的样本鉴定出了4390种蛋白质。质谱数据在Proteome Discoverer(版本2.1)平台上使用Sequest和Mascot搜索引擎进行分析。对鉴定出的蛋白质进行了基因本体注释、相互作用网络及其在媒介-寄生虫相互作用中可能作用的分析。这里提供的数据与我们发表的文章《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]相关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d246/6288417/415c02fb2ba2/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d246/6288417/e7947e21a522/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d246/6288417/d00dd82891e6/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d246/6288417/6f1ee3b44e06/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d246/6288417/afd035a37366/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d246/6288417/415c02fb2ba2/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d246/6288417/e7947e21a522/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d246/6288417/d00dd82891e6/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d246/6288417/6f1ee3b44e06/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d246/6288417/afd035a37366/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d246/6288417/415c02fb2ba2/gr5.jpg

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本文引用的文献

1
Proteome data of hemolymph using high resolution mass spectrometry.使用高分辨率质谱法分析血淋巴的蛋白质组数据。
Data Brief. 2018 Apr 24;18:1441-1447. doi: 10.1016/j.dib.2018.04.031. eCollection 2018 Jun.
2
Mapping midgut proteome using high-resolution mass spectrometry.使用高分辨率质谱法绘制中肠蛋白质组图谱。
Data Brief. 2018 Feb 21;17:1295-1303. doi: 10.1016/j.dib.2018.02.028. eCollection 2018 Apr.
3
Response to Blood Meal in the Fat Body of Anopheles stephensi Using Quantitative Proteomics: Toward New Vector Control Strategies Against Malaria.
利用定量蛋白质组学研究按蚊脂肪体对血粉的反应:探索疟疾新的病媒控制策略。
OMICS. 2017 Sep;21(9):520-530. doi: 10.1089/omi.2017.0092. Epub 2017 Sep 5.
4
Mosquito-Borne Diseases and Omics: Tissue-Restricted Expression and Alternative Splicing Revealed by Transcriptome Profiling of Anopheles stephensi.蚊媒疾病与组学:通过斯氏按蚊转录组分析揭示的组织特异性表达和可变剪接
OMICS. 2017 Aug;21(8):488-497. doi: 10.1089/omi.2017.0073. Epub 2017 Jul 14.
5
Integrating transcriptomic and proteomic data for accurate assembly and annotation of genomes.整合转录组学和蛋白质组学数据以进行基因组的精确组装和注释。
Genome Res. 2017 Jan;27(1):133-144. doi: 10.1101/gr.201368.115. Epub 2016 Nov 15.
6
The STRING database in 2017: quality-controlled protein-protein association networks, made broadly accessible.2017年的STRING数据库:质量可控的蛋白质-蛋白质相互作用网络,广泛可用。
Nucleic Acids Res. 2017 Jan 4;45(D1):D362-D368. doi: 10.1093/nar/gkw937. Epub 2016 Oct 18.
7
The BioMart community portal: an innovative alternative to large, centralized data repositories.生物信息学集成数据挖掘社区门户:大型集中式数据存储库的创新替代方案。
Nucleic Acids Res. 2015 Jul 1;43(W1):W589-98. doi: 10.1093/nar/gkv350. Epub 2015 Apr 20.
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Nucleic Acids Res. 2015 Jan;43(Database issue):D707-13. doi: 10.1093/nar/gku1117. Epub 2014 Dec 15.
9
Annotation of the zebrafish genome through an integrated transcriptomic and proteomic analysis.通过整合转录组学和蛋白质组学分析对斑马鱼基因组进行注释。
Mol Cell Proteomics. 2014 Nov;13(11):3184-98. doi: 10.1074/mcp.M114.038299. Epub 2014 Jul 24.
10
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OMICS. 2014 Jul;18(7):421-37. doi: 10.1089/omi.2014.0007. Epub 2014 Jun 17.