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SAM Domain-Based Protein Oligomerization Observed by Live-Cell Fluorescence Fluctuation Spectroscopy

Overview of attention for article published in PLOS ONE, April 2008
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Title
SAM Domain-Based Protein Oligomerization Observed by Live-Cell Fluorescence Fluctuation Spectroscopy
Published in
PLOS ONE, April 2008
DOI 10.1371/journal.pone.0001931
Pubmed ID
Authors

Brian D. Slaughter, Joseph M. Huff, Winfried Wiegraebe, Joel W. Schwartz, Rong Li

Abstract

Sterile-alpha-motif (SAM) domains are common protein interaction motifs observed in organisms as diverse as yeast and human. They play a role in protein homo- and hetero-interactions in processes ranging from signal transduction to RNA binding. In addition, mutations in SAM domain and SAM-mediated oligomers have been linked to several diseases. To date, the observation of heterogeneous SAM-mediated oligomers in vivo has been elusive, which represents a common challenge in dissecting cellular biochemistry in live-cell systems. In this study, we report the oligomerization and binding stoichiometry of high-order, multi-component complexes of (SAM) domain proteins Ste11 and Ste50 in live yeast cells using fluorescence fluctuation methods. Fluorescence cross-correlation spectroscopy (FCCS) and 1-dimensional photon counting histogram (1dPCH) confirm the SAM-mediated interaction and oligomerization of Ste11 and Ste50. Two-dimensional PCH (2dPCH), with endogenously expressed proteins tagged with GFP or mCherry, uniquely indicates that Ste11 and Ste50 form a heterogeneous complex in the yeast cytosol comprised of a dimer of Ste11 and a monomer of Ste50. In addition, Ste50 also exists as a high order oligomer that does not interact with Ste11, and the size of this oligomer decreases in response to signals that activate the MAP kinase cascade. Surprisingly, a SAM domain mutant of Ste50 disrupted not only the Ste50 oligomers but also Ste11 dimerization. These results establish an in vivo model of Ste50 and Ste11 homo- and hetero-oligomerization and highlight the usefulness of 2dPCH for quantitative dissection of complex molecular interactions in genetic model organisms such as yeast.

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Mendeley readers

The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 3 5%
Malaysia 1 2%
Canada 1 2%
Singapore 1 2%
Taiwan 1 2%
United States 1 2%
Unknown 57 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 31%
Student > Ph. D. Student 18 28%
Student > Bachelor 5 8%
Professor > Associate Professor 5 8%
Professor 4 6%
Other 9 14%
Unknown 4 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 35 54%
Biochemistry, Genetics and Molecular Biology 11 17%
Chemistry 5 8%
Medicine and Dentistry 3 5%
Physics and Astronomy 3 5%
Other 3 5%
Unknown 5 8%