脂滴
生物物理学
化学
纳米技术
材料科学
色谱法
细胞生物学
生物
生物化学
作者
Shamroop Kumar Mallela,Dhruti Patel,G. Michelle Ducasa,Sandra Merscher,Alessia Fornoni,Hassan Al-Ali
出处
期刊:Methods in molecular biology
日期:2019-01-01
卷期号:: 199-206
被引量:8
标识
DOI:10.1007/978-1-4939-9488-5_17
摘要
Lipid droplets (LDs) are dynamic organelles that regulate the storage and homeostasis of intracellular triglycerides and other neutral lipids. Studies show that the number, morphology, and subcellular localization of LDs are altered in a growing number of diseases. As such, methodologies for imaging and quantifying LDs have become essential tools for detecting changes in cellular lipid metabolism, which could be an important indicator of disease onset or progression. We previously reported on the accumulation of LDs in podocytes of the kidney glomerulus in nephrological diseases of metabolic and non-metabolic origin. Here, we describe a high-content analysis (HCA) method for automated detection and quantification of LDs in differentiated human podocytes.
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