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Proceedings of the National Academy of Sciences
Article . 2008 . Peer-reviewed
Data sources: Crossref
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Transcriptome-based systematic identification of extracellular matrix proteins

Authors: Mina Kimura; Yoshikazu Sado; Yasuko Oguri; Yutaka Furutani; Tomiko Yamada; Yoshihide Hayashizaki; H. Senoo; +15 Authors

Transcriptome-based systematic identification of extracellular matrix proteins

Abstract

Extracellular matrix (ECM), which provides critical scaffolds for all adhesive cells, regulates proliferation, differentiation, and apoptosis. Different cell types employ customized ECMs, which are thought to play important roles in the generation of so-called niches that contribute to cell-specific functions. The molecular entities of these customized ECMs, however, have not been elucidated. Here, we describe a strategy for transcriptome-wide identification of ECM proteins based on computational screening of >60,000 full-length mouse cDNAs for secreted proteins, followed by in vitro functional assays. These assays screened the candidate proteins for ECM-assembling activities, interactions with other ECM molecules, modifications with glycosaminoglycans, and cell-adhesive activities, and were then complemented with immunohistochemical analysis. We identified 16 ECM proteins, of which seven were localized in basement membrane (BM) zones. The identification of these previously unknown BM proteins allowed us to construct a body map of BM proteins, which represents the comprehensive immunohistochemistry-based expression profiles of the tissue-specific customization of BMs.

Keywords

Extracellular Matrix Proteins, Mice, Inbred ICR, Gene Expression Profiling, Computational Biology, Immunohistochemistry, Basement Membrane, Epithelium, Cell Line, Mice, Protein Transport, Animals, Humans, Tooth

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
131
Top 1%
Top 10%
Top 10%
bronze