Genome-wide analysis of sterol-lipid storage and trafficking in Saccharomyces cerevisiae

Weihua Fei, Gabriel Alfaro, Baby Periyanayaki Muthusamy, Zachary Klaassen, Todd R. Graham, Hongyuan Yang, Christopher T. Beh

Research output: Contribution to journalArticlepeer-review

42 Scopus citations


The pandemic of lipid-related disease necessitates a determination of how cholesterol and other lipids are transported and stored within cells. The first step in this determination is the identification of the genes involved in these transport and storage processes. Using genome-wide screens, we identified 56 yeast (Saccharomyces cerevisiae) genes involved in sterol-lipid biosynthesis, intracellular trafficking, and/or neutral-lipid storage. Direct biochemical and cytological examination of mutant cells revealed an unanticipated link between secretory protein glycosylation and triacylglycerol (TAG)/steryl ester (SE) synthesis for the storage of lipids. Together with the analysis of other deletion mutants, these results suggested at least two distinct events for the biogenesis of lipid storage particles: a step affecting neutral-lipid synthesis, generating the lipid core of storage particles, and another step for particle assembly. In addition to the lipid storage mutants, we identified mutations that affect the localization of unesterified sterols, which are normally concentrated in the plasma membrane. These findings implicated phospholipase C and the protein phosphatase Ptc1p in the regulation of sterol distribution within cells. This study identified novel sterol-related genes that define several distinct processes maintaining sterol homeostasis.

Original languageEnglish (US)
Pages (from-to)401-414
Number of pages14
JournalEukaryotic Cell
Issue number2
StatePublished - Feb 2008
Externally publishedYes

ASJC Scopus subject areas

  • Microbiology
  • Molecular Biology


Dive into the research topics of 'Genome-wide analysis of sterol-lipid storage and trafficking in Saccharomyces cerevisiae'. Together they form a unique fingerprint.

Cite this