4.5 Article

Qualitative and quantitative analysis of the adult Drosophila melanogaster proteome

期刊

PROTEOMICS
卷 14, 期 2-3, 页码 286-290

出版社

WILEY-BLACKWELL
DOI: 10.1002/pmic.201300121

关键词

Animal proteomics; Drosophila melanogaster; High-coverage proteome; iTRAQ; Label-free; Tandem mass spectrum

资金

  1. Chinese National Basic Research Programs [2011CB910600, 2013CB911201]
  2. National Natural Science Foundation of China [31070673, 31170780, 21105121, 21275160]
  3. National High-Tech Research and Development Program of China [SS2012AA020502, 2011AA02A114, 2012AA020201, 2012AA020409]
  4. National Megaprojects for Key Infectious Diseases [2013zx10003002]
  5. National Science & Technology Pillar Program [2012BAF14B00]
  6. China-EU International Collaboration Program [20111001]
  7. National Natural Science Foundation of Beijing [5112012, 5122013]
  8. Foundation of State Key Lab of Proteomics [SKLP-K200904, SKLP-Y201102]

向作者/读者索取更多资源

Drosophila melanogaster is one of the most widely used model organisms in life sciences. Mapping its proteome is of great significance for understanding the biological characteristics and tissue functions of this species. However, the comprehensive coverage of its proteome remains a challenge. Here, we describe a high-coverage analysis of whole fly through a 1D gel electrophoresis and LC-MS/MS approach. By combining the datasets of two types of SDS-PAGE and two kinds of tagmata, the high-coverage analysis resulted in the identification of 5262 genes, which correspond to 38.23% of the entire coding genes. Moreover, we found that the fly head and body have different molecular weight distributions of their proteomes when the proteins were resolved with SDS-PAGE and image analysis of the stained gel. This phenomenon was further confirmed by both label-free and isobaric tags for relative and absolute quantitation-based quantitative approaches. The consistent results of the two different quantitation methods also demonstrated the stability and accuracy of the LC-MS/MS platform. The MS proteomics data have been deposited to the ProteomeXchange with identifiers PXD000454 and PXD000455 (http://proteomecentral.proteomexchange.org/dataset/PXD000454; (http://proteomecentral.proteomexchange.org/dataset/PXD000455).

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