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Secretomics : ウィキペディア英語版
Secretomics
Secretomics is a subset of proteomics in which all of the secreted proteins of a cell, tissue, or organism are analyzed. Secreted proteins are involved in a variety of physiological processes, including cell signaling and matrix remodeling, but are also integral to invasion and metastasis of malignant cells. Secretomics has thus been especially important in the discovery of biomarkers for cancer.
==History of the secretome==
In 2000 Tjalsma et al. coined the term ‘secretome’ in their study of the eubacterium ''B. subtilis''. They defined the secretome as all of the secreted proteins and secretory machinery of the bacteria. Using a database of protein sequences in ''B. subtilis'' and an algorithm that looked at cleavage sites and amino-terminal signal peptides characteristic of secreted proteins they were able to predict what fraction of the proteome is secreted by the cell. In 2001 the same lab set a standard of secretomics – predictions based on amino acid sequence alone are not enough to define the secretome. They used two-dimensional gel electrophoresis and mass spectrometry to identify 82 proteins secreted by ''B. subtilis'', only 48 of which had been predicted using the genome-based method of their previous paper. This demonstrates the need for protein verification of predicted findings.
As the complicated nature of secretory pathways was revealed – namely that there are many non-classical pathways of secretion and there are many non-secreted proteins that are a part of the classical secretory pathway – a more in-depth definition of the secretome became necessary. In 2010, Agrawal et al. suggested defining the secretome as “the global group of secreted proteins into the extracellular space by a cell, tissue, organ, or organism at any given time and conditions through known and unknown secretory mechanisms involving constitutive and regulated secretory organelles.”

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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