Evidence map›Paper›PMID 24816817›Full record

ArticlePloS one2014

Massively parallel sequencing of human urinary exosome/microvesicle RNA reveals a predominance of non-coding RNA.

Kevin C Miranda, Daniel T Bond, Joshua Z Levin, Xian Adiconis, Andrey Sivachenko, Carsten Russ, Dennis Brown, Chad Nusbaum, Leileata M Russo

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 81 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
81citing papers in PubMed, 2 pooled it
5.3field-weighted citation impact, top 4% 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

81 citing papers in PubMed, 2 syntheses or guidelines pooled it, 126 citations in OpenAlex.

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21 more citing papers are in PubMed but not listed here.

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

9 authors at 4 institutions in 1 country.

Kevin C MirandaProgram in Membrane Biology, Division of Nephrology & Center for Systems Biology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America.
Daniel T BondProgram in Membrane Biology, Division of Nephrology & Center for Systems Biology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America.
Joshua Z LevinBroad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, Massachusetts, United States of America.
Xian AdiconisBroad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, Massachusetts, United States of America.
Andrey SivachenkoBroad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, Massachusetts, United States of America.
Carsten RussBroad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, Massachusetts, United States of America.
Dennis BrownProgram in Membrane Biology, Division of Nephrology & Center for Systems Biology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America.
Chad NusbaumBroad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, Massachusetts, United States of America.
Leileata M RussoProgram in Membrane Biology, Division of Nephrology & Center for Systems Biology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America.
Broad Institute · USHarvard University · USCenter for Systems Biology · USMassachusetts General Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intact RNA from exosomes/microvesicles (collectively referred to as microvesicles) has sparked much interest as potential biomarkers for the non-invasive analysis of disease. Here we use the Illumina Genome Analyzer to determine the comprehensive array of nucleic acid reads present in urinary microvesicles. Extraneous nucleic acids were digested using RNase and DNase treatment and the microvesicle inner nucleic acid cargo was analyzed with and without DNase digestion to examine both DNA and RNA sequences contained in microvesicles. Results revealed that a substantial proportion (∼87%) of reads aligned to ribosomal RNA. Of the non-ribosomal RNA sequences, ∼60% aligned to non-coding RNA and repeat sequences including LINE, SINE, satellite repeats, and RNA repeats (tRNA, snRNA, scRNA and srpRNA). The remaining ∼40% of non-ribosomal RNA reads aligned to protein coding genes and splice sites encompassing approximately 13,500 of the known 21,892 protein coding genes of the human genome. Analysis of protein coding genes specific to the renal and genitourinary tract revealed that complete segments of the renal nephron and collecting duct as well as genes indicative of the bladder and prostate could be identified. This study reveals that the entire genitourinary system may be mapped using microvesicle transcript analysis and that the majority of non-ribosomal RNA sequences contained in microvesicles is potentially functional non-coding RNA, which play an emerging role in cell regulation.

Indexed as

Chromosome MappingExosomesGenome, HumanHigh-Throughput Nucleotide SequencingHumansMaleOligonucleotide Array Sequence AnalysisRepetitive Sequences, Nucleic AcidRNARNA, RibosomalRNA, UntranslatedTranscriptomeUrogenital SystemRNARNA, RibosomalRNA, Untranslated

Identifiers

PMID24816817
PMCPMC4015934
OpenAlexW2005432294

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.