한빛사논문
Jie Liua,b,1, Ji Yong Janga,1, Mehdi Piroozniac, Shihui Liua,d, and Toren Finkela,b,2
aAging Institute, University of Pittsburgh School of Medicine/UPMC, Pittsburgh, PA 15219; bDepartment of Medicine, Division of Cardiology, University of Pittsburgh/UPMC, Pittsburgh, PA 15219; cBioinformatics and Computational Core Facility, National Heart, Lung, and Blood Institute, NIH, Bethesda, MD 20892; and dDepartment of Medicine, Division of Infectious Disease, University of Pittsburgh/UPMC, Pittsburgh, PA 15219
1J.L. and J.Y.J. contributed equally to this work.
2To whom correspondence may be addressed.
Abstract
At present, it remains difficult to deconvolute serum in order to identify the cell or tissue origin of a given circulating protein. Here, by exploiting the properties of proximity biotinylation, we describe a mouse model that enables the elucidation of the in vivo tissue-specific secretome. As an example, we demonstrate how we can readily identify in vivo endothelial-specific secretion as well as how this model allows for the characterization of muscle-derived serum proteins that either increase or decrease with exercise. This genetic platform should, therefore, be of wide utility in understanding normal and disease physiology and for the rational design of tissue-specific disease biomarkers.
protein secretion, biotinylation, mouse model
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