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Citation
Fabre, B., Korona, D., Groen, A., Vowinckel, J., Gatto, L., Deery, M.J., Ralser, M., Russell, S., Lilley, K.S. (2016). Analysis of Drosophila melanogaster proteome dynamics during embryonic development by a combination of label-free proteomics approaches.  Proteomics 16(15-16): 2068--2080.
FlyBase ID
FBrf0233225
Publication Type
Research paper
Abstract
During embryogenesis, organisms undergo considerable cellular remodelling requiring the combined action of thousands of proteins. In case of the well-studied model Drosophila melanogaster, transcriptomic studies, most notably from the modENCODE project, have described in detail changes in gene expression at the mRNA level across development. Although such data are clearly very useful to understand how the genome is regulated during embryogenesis, it is important to understand how changes in gene expression are reflected at the level of the proteome. In this study, we describe a combination of two quantitative label-free approaches, SWATH and data-dependent acquisition, to monitor changes in protein expression across a timecourse of D. melanogaster embryonic development. We demonstrate that both approaches provide robust and reproducible methods for the analysis of proteome changes. In a preliminary analysis of Drosophila embryogenesis, we identified several pathways, including the heat-shock response, nuclear protein import and energy production that are regulated during embryo development. In some cases changes in protein expression mirrored transcript levels across development, whereas other proteins showed signatures of post-transcriptional regulation. Taken together, our pilot study provides a solid platform for a more detailed exploration of the embryonic proteome.
PubMed ID
PubMed Central ID
PMC5737838 (PMC) (EuropePMC)
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Secondary IDs
    Language of Publication
    English
    Additional Languages of Abstract
    Parent Publication
    Publication Type
    Journal
    Abbreviation
    Proteomics
    Title
    Proteomics
    Publication Year
    2001-
    ISBN/ISSN
    1615-9853
    Data From Reference
    Genes (7)