In-silico definition of the Drosophila melanogaster matrisome.
In-silico definition of the Drosophila melanogaster matrisome.
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DOI:
10.1016/j.mbplus.2019.100015
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发表时间:
2019-11
影响因子:
--
通讯作者:
Naba A
中科院分区:
文献类型:
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作者:
Davis MN;Horne-Badovinac S;Naba A
The extracellular matrix (ECM) is an assembly of hundreds of proteins that structurally supports the cells it surrounds and biochemically regulates their functions. Drosophila melanogaster has emerged as a powerful model organism to study fundamental mechanisms underlying ECM protein secretion, ECM assembly, and ECM roles in pathophysiological processes. However, as of today, we do not possess a well-defined list of the components forming the ECM of this organism. We previously reported the development of computational pipelines to define the matrisome - the ensemble of genes encoding ECM and ECM-associated proteins - of humans, mice, zebrafish and C. elegans. Using a similar approach, we report here that our pipeline has identified 641 genes constituting the Drosophila matrisome. We further classify these genes into different structural and functional categories, including an expanded way to classify genes encoding proteins forming apical ECMs. We illustrate how having a comprehensive list of Drosophila matrisome proteins can be used to annotate large proteomic datasets and identify unsuspected roles for the ECM in pathophysiological processes. Last, to aid the dissemination and usage of the proposed definition and categorization of the Drosophila matrisome by the scientific community, our list has been made available through three public portals: The Matrisome Project (http://matrisome.org), The FlyBase (https://flybase.org/), and GLAD (https://www.flyrnai.org/tools/glad/web/). We developed a bioinformatics pipeline combining gene- and protein-sequence analysis to predict the Drosophila matrisome. The in-silico Drosophila matrisome comprises 641 genes. We propose a comprehensive classification of genes encoding proteins forming apical ECMs. The Drosophila matrisome list is now available through three public portals: The Matrisome Project, FlyBase, and GLAD.