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Identification of a Mammalian Golgi Sec1p-like Protein, mVps45*

Overview of attention for article published in Journal of Biological Chemistry, March 1997
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Article details
Title
Identification of a Mammalian Golgi Sec1p-like Protein, mVps45*
Published in
Journal of Biological Chemistry, March 1997
DOI 10.1074/jbc.272.10.6187
Pubmed ID
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Abstract

Our understanding of lysosomal biogenesis and general vesicular transport in animal cells has been greatly enhanced by studies of vacuolar biogenesis in yeast. Genetic screens have identified a number of proteins that play direct roles in the proper sorting of vacuolar hydrolases. These include t-SNARE (soluble N-ethylmaleimide-sensitive factor attachment protein receptor) proteins and Sec1p-like proteins, which have recently been implicated as key regulators of vesicle fusion. In this study we have extended these observations in yeast and have isolated and characterized a novel member of the Sec1p-like family of proteins from mammalian cells, mVps45. mVps45 shares a high level of identity with the Saccharomyces cerevisiae Sec1p-like protein Vps45p that is believed to function with the t-SNARE Pep12p in the fusion of Golgi-derived transport vesicles with a prevacuolar compartment. We found that mVps45 is a ubiquitously expressed peripheral membrane protein that localized to perinuclear Golgi-like and trans-Golgi network compartments in Chinese hamster ovary cells. We found that mVps45 could bind specifically to yeast Pep12p and to the mammalian Pep12p-like protein, syntaxin 6, in vitro.

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The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United Kingdom 2 6%
United States 1 3%
Unknown 28 90%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 7 23%
Professor 6 19%
Student > Ph. D. Student 6 19%
Professor > Associate Professor 4 13%
Student > Bachelor 3 10%
Other 4 13%
Unknown 1 3%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 19 61%
Biochemistry, Genetics and Molecular Biology 7 23%
Medicine and Dentistry 2 6%
Neuroscience 1 3%
Unknown 2 6%