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Isolation of High-density Lipoproteins for Non-coding Small RNA Quantification

Authors :
Ryan M. Allen
Danielle L. Michell
Quanhu Sheng
Shilin Zhao
Kasey C. Vickers
Cynthia L. Toth
Stuart R Landstreet
Source :
Journal of Visualized Experiments.
Publication Year :
2016
Publisher :
MyJove Corporation, 2016.

Abstract

The diversity of small non-coding RNAs (sRNA) is rapidly expanding and their roles in biological processes, including gene regulation, are emerging. Most interestingly, sRNAs are also found outside of cells and are stably present in all biological fluids. As such, extracellular sRNAs represent a novel class of disease biomarkers and are likely involved in cell signaling and intercellular communication networks. To assess their potential as biomarkers, sRNAs can be quantified in plasma, urine, and other fluids. Nevertheless, to fully understand the impact of extracellular sRNAs as endocrine signals, it is important to determine which carriers are transporting and protecting them in biological fluids (e.g., plasma), which cells and tissues contribute to extracellular sRNA pools, and cells and tissues capable of accepting and utilizing extracellular sRNA. To accomplish these goals, it is critical to isolate highly pure populations of extracellular carriers for sRNA profiling and quantification. We have previously demonstrated that lipoproteins, particularly high-density lipoproteins (HDL), transport functional microRNAs (miRNA) between cells and HDL-miRNAs are significantly altered in disease. Here, we detail a new protocol that utilizes tandem HDL isolation with density-gradient ultracentrifugation (DGUC) and fast-protein-liquid chromatography (FPLC) to obtain highly pure HDL for downstream profiling and quantification of all sRNAs, including miRNAs, using both high-throughput sequencing and real-time PCR approaches. This protocol will be a valuable resource for the investigation of sRNAs on HDL.

Details

ISSN :
1940087X
Database :
OpenAIRE
Journal :
Journal of Visualized Experiments
Accession number :
edsair.doi.dedup.....364de3f709a787358097d8d44a19e4e2
Full Text :
https://doi.org/10.3791/54488-v