Evidence map›Paper›PMID 29738525›Full record

ArticlePloS one2018

Optimizing exosomal RNA isolation for RNA-Seq analyses of archival sera specimens.

Emily N Prendergast, Marcos Abraão de Souza Fonseca, Felipe Segato Dezem, Jenny Lester, Beth Y Karlan, Houtan Noushmehr, Xianzhi Lin, Kate Lawrenson

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

33 citing papers in PubMed, 54 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Article
  6. Review
  7. Review
  8. Endothelial derived, secreted long non-coding RNAsMolecular therapy. Nucleic acids · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Extracellular vesicles derived from inflammatory-educated stem cells reverse brain inflammation-implication of miRNAs.Molecular therapy : the journal of the American Society of Gene Therapy · 2022
    Article
  20. Article
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

8 authors at 3 institutions in 2 countries.

Emily N PrendergastWomen's Cancer Program at the Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, California, United States of America.
Marcos Abraão de Souza FonsecaDepartment of Genetics, University of Sao Paulo, Ribeirao Preto, SP, Brazil.
Felipe Segato DezemDepartment of Genetics, University of Sao Paulo, Ribeirao Preto, SP, Brazil.
Jenny LesterWomen's Cancer Program at the Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, California, United States of America.
Beth Y KarlanWomen's Cancer Program at the Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, California, United States of America.
Houtan NoushmehrDepartment of Genetics, University of Sao Paulo, Ribeirao Preto, SP, Brazil.
Xianzhi LinWomen's Cancer Program at the Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, California, United States of America.ORCID 0000-0001-9802-9896
Kate LawrensonWomen's Cancer Program at the Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, California, United States of America.
Cedars-Sinai Medical Center · USUniversidade de São Paulo · BRHenry Ford Health System · US

Funding

UCLA Clinical and Translational Science InstituteUL1TR000124 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DUBINETT, STEVEN M. · 2012 to 2015
$57.0M
Functional Analysis of LncRNAs in Epithelial Ovarian CancerR00CA184415 · NCI · CEDARS-SINAI MEDICAL CENTER · PI LAWRENSON, KATE · 2015 to 2017
$720k
Functional Analysis of LncRNAs in Epithelial Ovarian CancerK99CA184415 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI LAWRENSON, KATE · 2014 to 2014
$97k
NCATS NIH HHS UL1 TR000124NCI NIH HHS K99 CA184415NCI NIH HHS R00 CA184415NIH HHS UL1TR000124
6 · The paper itself

Abstract

Exosomes are endosome-derived membrane vesicles that contain proteins, lipids, and nucleic acids. The exosomal transcriptome mediates intercellular communication, and represents an understudied reservoir of novel biomarkers for human diseases. Next-generation sequencing enables complex quantitative characterization of exosomal RNAs from diverse sources. However, detailed protocols describing exosome purification for preparation of exosomal RNA-sequence (RNA-Seq) libraries are lacking. Here we compared methods for isolation of exosomes and extraction of exosomal RNA from human cell-free serum, as well as strategies for attaining equal representation of samples within pooled RNA-Seq libraries. We compared commercial precipitation with ultracentrifugation for exosome purification and confirmed the presence of exosomes via both transmission electron microscopy and immunoblotting. Exosomal RNA extraction was compared using four different RNA purification methods. We determined the minimal starting volume of serum required for exosome preparation and showed that high quality exosomal RNA can be isolated from sera stored for over a decade. Finally, RNA-Seq libraries were successfully prepared with exosomal RNAs extracted from human cell-free serum, cataloguing both coding and non-coding exosomal transcripts. This method provides researchers with strategic options to prepare RNA-Seq libraries and compare RNA-Seq data quantitatively from minimal volumes of fresh and archival human cell-free serum for disease biomarker discovery.

Indexed as

BiomarkersCell-Free Nucleic AcidsExosomesHumansSequence Analysis, RNASpecimen HandlingTranscriptomeBiomarkersCell-Free Nucleic Acids

Identifiers

PMID29738525
PMCPMC5940186
OpenAlexW2800062219

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.