Evidence map›Paper›PMID 27929461›Full record

ArticleJournal of visualized experiments : JoVE2016

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

Danielle L Michell, Ryan M Allen, Stuart R Landstreet, Shilin Zhao, Cynthia L Toth, Quanhu Sheng, Kasey C Vickers

Abstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
1.6field-weighted citation impact, top 18% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 40 citations in OpenAlex.

  1. Article
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  4. Improvement of small extracellular vesicle isolation from mouse model blood.Extracellular vesicles and circulating nucleic acids · 2025
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  17. Toward an Understanding of Extracellular tRNA Biology.Frontiers in molecular biosciences · 2021
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Danielle L MichellDepartment of Medicine, Vanderbilt University School of Medicine.
Ryan M AllenDepartment of Medicine, Vanderbilt University School of Medicine.
Stuart R LandstreetDepartment of Medicine, Vanderbilt University School of Medicine.
Shilin ZhaoCenter for Quantitative Sciences, Vanderbilt University School of Medicine.
Cynthia L TothDepartment of Medicine, Vanderbilt University School of Medicine.
Quanhu ShengDepartment of Cancer Biology, Vanderbilt University School of Medicine.
Kasey C VickersDepartment of Medicine, Vanderbilt University School of Medicine; Center for Quantitative Sciences, Vanderbilt University School of Medicine; kasey.c.vickers@vanderbilt.edu.
Vanderbilt University · USQuantitative BioSciences · US

Funding

Non-coding RNA & Bioinformatics CoreP01HL116263 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI DAVIES, SEAN STEPHEN · 2014 to 2025
$24.7M
HDL-microRNA Intercellular Communication in AtherosclerosisR01HL128996 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI VICKERS, KASEY C · 2015 to 2019
$2.3M
Macrophage SR-BI Regulates Autophagy, Angiogenin and tRNA-derived small RNAsR01HL127173 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI LINTON, MACRAE F, VICKERS, KASEY C · 2016 to 2019
$2.1M
Circulating microRNAs Control Cholesterol Homeostasis through hepatic mechanismsK22HL113039 · NHLBI · VANDERBILT UNIVERSITY · PI VICKERS, KASEY C · 2013 to 2015
$746k
NHLBI NIH HHS K22 HL113039NHLBI NIH HHS P01 HL116263NHLBI NIH HHS R01 HL127173NHLBI NIH HHS R01 HL128996
6 · The paper itself

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.

Indexed as

Lipoproteins, HDLRNA, Small UntranslatedGene Expression Regulation, PlantHumansMicroRNAsLipoproteins, HDLMicroRNAsRNA, Small Untranslated

Identifiers

PMID27929461
PMCPMC5226318
OpenAlexW2557964709

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.