Evidence map›Paper›PMID 30128086›Full record

ArticleJournal of extracellular vesicles2018

Bioinformatic analysis of endogenous and exogenous small RNAs on lipoproteins.

Ryan M Allen, Shilin Zhao, Marisol A Ramirez Solano, Wanying Zhu, Danielle L Michell, Yuhuan Wang, Yu Shyr, Praveen Sethupathy, MacRae F Linton, Gregory A Graf and 2 more

Open access · goldAbstract read
In one paragraph

Article in Journal of extracellular vesicles, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

57 citing papers in PubMed, 83 citations in OpenAlex.

  1. Article
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  13. Article
  14. Gut microbiota and atrial cardiomyopathy.Frontiers in cardiovascular medicine · 2025
    Review
  15. Article
  16. Article
  17. Transfer ofExtracellular vesicles and circulating nucleic acids · 2024
    Article
  18. Article
  19. Article
  20. Review
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

12 authors at 3 institutions in 1 country.

Ryan M AllenDepartment of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
Shilin ZhaoDepartment of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA.
Marisol A Ramirez SolanoDepartment of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA.
Wanying ZhuDepartment of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
Danielle L MichellDepartment of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.ORCID 0000-0002-2048-4191
Yuhuan WangDepartment of Pharmaceutical Sciences, University of Kentucky, Lexington, KY, USA.
Yu ShyrDepartment of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA.
Praveen SethupathyDepartment of Biomedical Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY, USA.
MacRae F LintonDepartment of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
Gregory A GrafDepartment of Pharmaceutical Sciences, University of Kentucky, Lexington, KY, USA.
Quanhu ShengDepartment of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA.ORCID 0000-0001-8951-9295
Kasey C VickersDepartment of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
Vanderbilt University Medical Center · USUniversity of Kentucky · USCornell University · US

Funding

Translational Analysis CoreP30DK058404 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI RICHARD M. PEEK · 2002 to 2026
$29.9M
Non-coding RNA & Bioinformatics CoreP01HL116263 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI VICKERS, KASEY C · 2014 to 2025
$24.7M
The role of IKKß in linking obesity to adipose tissue inflammation and adipogeneP20GM103527 · NIGMS · UNIVERSITY OF KENTUCKY · PI MORRIS, ANDREW J · 2012 to 2017
$13.7M
THROMBOSPONDIN1 MEDIATES MACROPHAGE INFILTRATION INTO ADIPOSE TISSUE AND PROMOTEP20RR021954 · NCRR · UNIVERSITY OF KENTUCKY · PI ECKHARDT, ERIK · 2008 to 2011
$8.3M
Trafficking of eRNAs in K-Ras Mutant Colon CancerU19CA179514 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI COFFEY, ROBERT J. · 2013 to 2017
$5.3M
Contributions of Hepatic and Intestinal Pathways to Cholesterol ExcretionR01DK113625 · NIDDK · UNIVERSITY OF KENTUCKY · PI Gregory A Graf · 2017 to 2026
$4.2M
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
NCI NIH HHS U19 CA179514NCRR NIH HHS P20 RR021954NHLBI NIH HHS K22 HL113039NHLBI NIH HHS P01 HL116263NHLBI NIH HHS R01 HL127173NHLBI NIH HHS R01 HL128996NIDDK NIH HHS P30 DK058404NIDDK NIH HHS R01 DK113625NIGMS NIH HHS P20 GM103527
6 · The paper itself

Abstract

To comprehensively study extracellular small RNAs (sRNA) by sequencing (sRNA-seq), we developed a novel pipeline to overcome current limitations in analysis entitled, "Tools for Integrative Genome analysis of Extracellular sRNAs (TIGER)". To demonstrate the power of this tool, sRNA-seq was performed on mouse lipoproteins, bile, urine and livers. A key advance for the TIGER pipeline is the ability to analyse both host and non-host sRNAs at genomic, parent RNA and individual fragment levels. TIGER was able to identify approximately 60% of sRNAs on lipoproteins and >85% of sRNAs in liver, bile and urine, a significant advance compared to existing software. Moreover, TIGER facilitated the comparison of lipoprotein sRNA signatures to disparate sample types at each level using hierarchical clustering, correlations, beta-dispersions, principal coordinate analysis and permutational multivariate analysis of variance. TIGER analysis was also used to quantify distinct features of exRNAs, including 5' miRNA variants, 3' miRNA non-templated additions and parent RNA positional coverage. Results suggest that the majority of sRNAs on lipoproteins are non-host sRNAs derived from bacterial sources in the microbiome and environment, specifically rRNA-derived sRNAs from Proteobacteria. Collectively, TIGER facilitated novel discoveries of lipoprotein and biofluid sRNAs and has tremendous applicability for the field of extracellular RNA.

Indexed as

APOBbileexogenous RNAextracellular RNAHDLhigh-throughput sequencinglipoproteinMicroRNAsmall RNAurine

Identifiers

PMID30128086
PMCPMC6095027
OpenAlexW2952595797

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.