한빛사논문
Abstract
Jung-Bum Shin1,2,8, Jocelyn F Krey2,8, Ahmed Hassan3, Zoltan Metlagel3, Andrew N Tauscher3, James M Pagana1,2, Nicholas E Sherman4, Erin D Jeffery4, Kateri J Spinelli2, Hongyu Zhao2, Phillip A Wilmarth5, Dongseok Choi6, Larry L David5, Manfred Auer3 & Peter G Barr-Gillespie2,7,*
1Department of Neuroscience, University of Virginia, Charlottesville, Virginia, USA. 2Oregon Hearing Research Center, Oregon Health & Science University, Portland, Oregon, USA. 3Life Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA. 4W.M. Keck Biomedical Mass Spectrometry Laboratory, University of Virginia, Charlottesville, Virginia, USA. 5Department of Biochemistry & Molecular Biology, Oregon Health & Science University, Portland, Oregon, USA. 6Department of Public Health & Preventive Medicine, Oregon Health & Science University, Portland, Oregon, USA. 7Vollum Institute, Oregon Health & Science University, Portland, Oregon, USA. 8These authors contributed equally to this work.
*Correspondence to: Peter G Barr-Gillespie
Abstract
Hair bundles of the inner ear have a specialized structure and protein composition that underlies their sensitivity to mechanical stimulation. Using mass spectrometry, we identified and quantified >1,100 proteins, present from a few to 400,000 copies per stereocilium, from purified chick bundles; 336 of these were significantly enriched in bundles. Bundle proteins that we detected have been shown to regulate cytoskeleton structure and dynamics, energy metabolism, phospholipid synthesis and cell signaling. Three-dimensional imaging using electron tomography allowed us to count the number of actin-actin cross-linkers and actin-membrane connectors; these values compared well to those obtained from mass spectrometry. Network analysis revealed several hub proteins, including RDX (radixin) and SLC9A3R2 (NHERF2), which interact with many bundle proteins and may perform functions essential for bundle structure and function. The quantitative mass spectrometry of bundle proteins reported here establishes a framework for future characterization of dynamic processes that shape bundle structure and function.
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