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Identification of gene products that control lipid droplet size in yeast using a high-throughput quantitative image analysis.
Lv, Xuchao; Liu, Jiaming; Qin, Yiran; Liu, Yizhang; Jin, Meijun; Dai, Junbiao; Chua, Boon Tin; Yang, Hongyuan; Li, Peng.
Afiliación
  • Lv X; State Key Laboratory of Membrane Biology and Tsinghua-Peking Center for Life Sciences, School of Life Sciences, Tsinghua University, Beijing 100084, China.
  • Liu J; State Key Laboratory of Membrane Biology and Tsinghua-Peking Center for Life Sciences, School of Life Sciences, Tsinghua University, Beijing 100084, China.
  • Qin Y; MOE Key Laboratory of Bioinformatics and Centre for Synthetic and Systems Biology, School of Life Sciences, Tsinghua University, Beijing 100084, China.
  • Liu Y; State Key Laboratory of Membrane Biology and Tsinghua-Peking Center for Life Sciences, School of Life Sciences, Tsinghua University, Beijing 100084, China.
  • Jin M; State Key Laboratory of Membrane Biology and Tsinghua-Peking Center for Life Sciences, School of Life Sciences, Tsinghua University, Beijing 100084, China.
  • Dai J; MOE Key Laboratory of Bioinformatics and Centre for Synthetic and Systems Biology, School of Life Sciences, Tsinghua University, Beijing 100084, China.
  • Chua BT; Institute of Metabolism and Integrative Biology, Fudan University, Shanghai 200438, China.
  • Yang H; School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW 2052, Australia.
  • Li P; State Key Laboratory of Membrane Biology and Tsinghua-Peking Center for Life Sciences, School of Life Sciences, Tsinghua University, Beijing 100084, China. Electronic address: li-peng@mail.tsinghua.edu.cn.
Biochim Biophys Acta Mol Cell Biol Lipids ; 1864(2): 113-127, 2019 02.
Article en En | MEDLINE | ID: mdl-30414449
Lipid droplets (LDs) are important organelles involved in energy storage and expenditure. LD dynamics has been investigated using genome-wide image screening methods in yeast and other model organisms. For most studies, genes were identified using two-dimensional images with LD enlargement as readout. Due to imaging limitation, reduction of LD size is seldom explored. Here, we aim to set up a screen that specifically utilizes reduced LD size as the readout. To achieve this, a novel yeast screen is set up to quantitatively and systematically identify genes that regulate LD size through a three-dimensional imaging-based approach. Cidea which promotes LD fusion and growth in mammalian cells was overexpressed in a yeast knockout library to induce large LD formation. Next, an automated, high-throughput image analysis method that monitors LD size was utilized. With this screen, we identified twelve genes that reduced LD size when deleted. The effects of eight of these genes on LD size were further validated in fld1 null strain background. In addition, six genes were previously identified as LD-regulating genes. To conclude, this methodology represents a promising strategy to screen for players in LD size control in both yeast and mammalian cells to aid in the investigation of LD-associated metabolic diseases.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Imagenología Tridimensional / Metabolismo de los Lípidos / Gotas Lipídicas Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Animals Idioma: En Revista: Biochim Biophys Acta Mol Cell Biol Lipids Año: 2019 Tipo del documento: Article País de afiliación: China Pais de publicación: Países Bajos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Imagenología Tridimensional / Metabolismo de los Lípidos / Gotas Lipídicas Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Animals Idioma: En Revista: Biochim Biophys Acta Mol Cell Biol Lipids Año: 2019 Tipo del documento: Article País de afiliación: China Pais de publicación: Países Bajos