Evidence map›Paper›PMID 23663360›Full record

ArticleBMC genomics2013

Characterization of human plasma-derived exosomal RNAs by deep sequencing.

Xiaoyi Huang, Tiezheng Yuan, Michael Tschannen, Zhifu Sun, Howard Jacob, Meijun Du, Meihua Liang, Rachel L Dittmar, Yong Liu, Mingyu Liang and 4 more

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 599 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
599citing papers in PubMed, 1 pooled it
27.7field-weighted citation impact, top 1% 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

599 citing papers in PubMed, 1 synthesis or guideline pooled it, 1,061 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Frontiers in cellular neuroscience · 2026
    Review
  12. MicroRNA Extraction from Extracellular Vesicles by Nanowire Devices.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  13. Article
  14. Review
  15. Role of Exosomal Non-Coding RNAsMicroRNA (Shariqah, United Arab Emirates) · 2026
    Review
  16. Article
  17. Review
  18. Review
  19. Review
  20. Article

539 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

14 authors at 4 institutions in 2 countries.

Xiaoyi HuangDepartment of Pathology and Cancer Center, Medical College of Wisconsin, Milwaukee, WI 53226, USA.
Tiezheng Yuan
Michael Tschannen
Zhifu Sun
Howard Jacob
Meijun Du
Meihua Liang
Rachel L Dittmar
Yong Liu
Mingyu Liang
Manish Kohli
Stephen N Thibodeau
Lisa Boardman
Liang Wang
Medical College of Wisconsin · USHarbin Medical University · CNMayo Clinic · USMayo Clinic in Arizona · US

Funding

PILOT AND FEASIBILTY PROGRAMP30DK084567 · NIDDK · MAYO CLINIC ROCHESTER · PI GREGORY J. GORES · 2009 to 2026
$22.2M
Research ServicesP01HL082798 · NHLBI · MEDICAL COLLEGE OF WISCONSIN · PI GREENE, ANDREW S. · 2006 to 2015
$22.0M
MicroRNA Ribonucleoprotein ComplexesR21HL111580 · NHLBI · MEDICAL COLLEGE OF WISCONSIN · PI LIANG, MINGYU · 2012 to 2013
$412k
NHLBI NIH HHS HL082798NHLBI NIH HHS HL111580NHLBI NIH HHS P01 HL082798NIDDK NIH HHS P30 DK084567
6 · The paper itself

Abstract

backgroundExosomes, endosome-derived membrane microvesicles, contain specific RNA transcripts that are thought to be involved in cell-cell communication. These RNA transcripts have great potential as disease biomarkers. To characterize exosomal RNA profiles systemically, we performed RNA sequencing analysis using three human plasma samples and evaluated the efficacies of small RNA library preparation protocols from three manufacturers. In all we evaluated 14 libraries (7 replicates).

resultsFrom the 14 size-selected sequencing libraries, we obtained a total of 101.8 million raw single-end reads, an average of about 7.27 million reads per library. Sequence analysis showed that there was a diverse collection of the exosomal RNA species among which microRNAs (miRNAs) were the most abundant, making up over 42.32% of all raw reads and 76.20% of all mappable reads. At the current read depth, 593 miRNAs were detectable. The five most common miRNAs (miR-99a-5p, miR-128, miR-124-3p, miR-22-3p, and miR-99b-5p) collectively accounted for 48.99% of all mappable miRNA sequences. MiRNA target gene enrichment analysis suggested that the highly abundant miRNAs may play an important role in biological functions such as protein phosphorylation, RNA splicing, chromosomal abnormality, and angiogenesis. From the unknown RNA sequences, we predicted 185 potential miRNA candidates. Furthermore, we detected significant fractions of other RNA species including ribosomal RNA (9.16% of all mappable counts), long non-coding RNA (3.36%), piwi-interacting RNA (1.31%), transfer RNA (1.24%), small nuclear RNA (0.18%), and small nucleolar RNA (0.01%); fragments of coding sequence (1.36%), 5' untranslated region (0.21%), and 3' untranslated region (0.54%) were also present. In addition to the RNA composition of the libraries, we found that the three tested commercial kits generated a sufficient number of DNA fragments for sequencing but each had significant bias toward capturing specific RNAs.

conclusionsThis study demonstrated that a wide variety of RNA species are embedded in the circulating vesicles. To our knowledge, this is the first report that applied deep sequencing to discover and characterize profiles of plasma-derived exosomal RNAs. Further characterization of these extracellular RNAs in diverse human populations will provide reference profiles and open new doors for the development of blood-based biomarkers for human diseases.

Indexed as

High-Throughput Nucleotide SequencingSequence Analysis, RNABase SequenceBlood DonorsChromosome MappingExosomesExtracellular SpaceHumansMicroRNAsPlasmaRNA StabilityTranscriptomeMicroRNAs

Identifiers

PMID23663360
PMCPMC3653748
OpenAlexW2105726520

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.