Cited by 715

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Exosomes provide a protective and enriched source of miRNA for biomarker profiling compared to intracellular and cell‐free blood

Cheng, Lesley, Sharples, Robyn A., Scicluna, Benjamin J., Hill, Andrew F.·2014·Journal of Extracellular Vesicles

Abstract

Introduction: microRNA (miRNA) are small non‐coding RNA species that are transcriptionally processed in the host cell and released extracellularly into the bloodstream. Normally involved in post‐transcriptional gene silencing, the deregulation of miRNA has been shown to influence pathogenesis of a number of diseases. Background: Next‐generation deep sequencing (NGS) has provided the ability to profile miRNA in biological fluids making this approach a viable screening tool to detect miRNA biomarkers. However, collection and handling procedures of blood needs to be greatly improved for miRNA analysis in order to reliably detect differences between healthy and disease patients. Furthermore, ribonucleases present in blood can degrade RNA upon collection rendering extracellular miRNA at risk of degradation. These factors have consequently decreased sensitivity and specificity of miRNA biomarker assays. Methods: Here, we use NGS to profile miRNA in various blood components and identify differences in profiles within peripheral blood compared to cell‐free plasma or serum and extracellular vesicles known as exosomes. We also analyse and compare the miRNA content in exosomes prepared by ultracentrifugation methods and commercial exosome isolation kits including treating samples with RNaseA. Conclusion: This study demonstrates that exosomal RNA is protected by RNaseA treatment and that exosomes provide a consistent source of miRNA for disease biomarker detection.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.3402/jev.v3.23743

Cites

4 of 4 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Flagged first, then by citations

Research works printed but not linked: 32

  1. 10.1093/nar/gkh023 · DOI
  2. 10.1016/j.cell.2005.06.036 · DOI
  3. 10.1073/pnas.1019055108 · DOI · Paper page
  4. Schipper H, 2007, MicroRNA expression in Alzheimer blood mononuclear cells, Gene Regul Syst Bio, 1, 263
  5. 10.1186/1471-2164-11-288 · DOI
  6. 10.18632/aging.100486 · DOI · Paper page
  7. 10.1038/sj.bjc.6605608 · DOI
  8. 10.1096/fj.11-202077 · DOI
  9. 10.1093/nar/gks832 · DOI
  10. 10.3389/fgene.2013.00150 · DOI
  11. Cheng L, 2013, Characterization and deep sequencing analysis of exosomal and non‐exosomal miRNA in human urine, Kidney Int
  12. 10.1371/journal.pone.0030679 · DOI · Paper page
  13. 10.1371/journal.pone.0075184 · DOI
  14. 10.1002/path.2145 · DOI
  15. 10.3389/fgene.2013.00094 · DOI
  16. 10.3324/haematol.2011.060780 · DOI
  17. Xu S, 2007, Transcriptional profiling of Alzheimer blood mononuclear cells by microarray, Neurobiol Aging, 28, 1795, 10.1016/j.neurobiolaging.2006.08.004 · DOI
  18. 10.1371/journal.pone.0064795 · DOI · Paper page
  19. 10.1371/journal.pone.0041561 · DOI
  20. 10.1101/gad.1942110 · DOI
  21. 10.1084/jem.20100458 · DOI · Paper page
  22. 10.1038/nature06607 · DOI · Paper page
  23. 10.1016/j.expneurol.2011.11.035 · DOI
  24. 10.1093/hmg/ddn201 · DOI · Paper page
  25. 10.1186/2045-8118-10-4 · DOI
  26. 10.1038/nbt.1807 · DOI · Paper page
  27. 10.1016/j.archoralbio.2011.05.015 · DOI
  28. 10.1158/1078-0432.CCR-09-0736 · DOI
  29. Koga Y, 2011, Exosome can prevent RNase from degrading microRNA in feces, J Gastrointest Oncol, 2, 215
  30. 10.1073/pnas.0804549105 · DOI · Paper page
  31. 10.1016/j.leukres.2012.08.021 · DOI
  32. 10.1007/s00432-012-1315-y · DOI

Cited by

Sorted by citations

Metadata

Authors
Cheng, L., Sharples, R. A., Scicluna, B. J., & Hill, A. F.
Affiliations
Department of Biochemistry and Molecular Biology The University of Melbourne Melbourne Australia
Venue
Journal of Extracellular Vesicles
Publisher
Wiley
Published
2014-01
Volume
3
Issue
1
ISSN
2001-3078
Cited by
715
References
4
Language
en

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review