Asset Details
Do you wish to reserve the book?
Quantification of sterol-specific response in human macrophages using automated imaged-based analysis
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Quantification of sterol-specific response in human macrophages using automated imaged-based analysis
Do you wish to request the book?
Quantification of sterol-specific response in human macrophages using automated imaged-based analysis
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Journal Article
Quantification of sterol-specific response in human macrophages using automated imaged-based analysis
2017
Overview
Background
The transformation of normal macrophage cells into lipid-laden foam cells is an important step in the progression of atherosclerosis. One major contributor to foam cell formation in vivo is the intracellular accumulation of cholesterol.
Methods
Here, we report the effects of various combinations of low-density lipoprotein, sterols, lipids and other factors on human macrophages, using an automated image analysis program to quantitatively compare single cell properties, such as cell size and lipid content, in different conditions.
Results
We observed that the addition of cholesterol caused an increase in average cell lipid content across a range of conditions. All of the sterol-lipid mixtures examined were capable of inducing increases in average cell lipid content, with variations in the distribution of the response, in cytotoxicity and in how the sterol-lipid combination interacted with other activating factors. For example, cholesterol and lipopolysaccharide acted synergistically to increase cell lipid content while also increasing cell survival compared with the addition of lipopolysaccharide alone. Additionally, ergosterol and cholesteryl hemisuccinate caused similar increases in lipid content but also exhibited considerably greater cytotoxicity than cholesterol.
Conclusions
The use of automated image analysis enables us to assess not only changes in average cell size and content, but also to rapidly and automatically compare population distributions based on simple fluorescence images. Our observations add to increasing understanding of the complex and multifactorial nature of foam-cell formation and provide a novel approach to assessing the heterogeneity of macrophage response to a variety of factors.
Publisher
BioMed Central,BioMed Central Ltd,BMC
Subject
/ Atherosclerosis - metabolism
/ Biomedical and Life Sciences
/ Cell Differentiation - drug effects
/ Cholesterol Esters - pharmacology
/ Fluorescent Dyes - chemistry
/ Humans
/ Image Processing, Computer-Assisted - methods
/ Image Processing, Computer-Assisted - statistics & numerical data
/ Lipopolysaccharides - pharmacology
/ Lipoproteins, LDL - pharmacology
/ Macrophages - ultrastructure
/ Mitogens
