Evidence map›Paper›PMID 32512385›Full record

ArticleiScience2020

Profiling Extracellular Long RNA Transcriptome in Human Plasma and Extracellular Vesicles for Biomarker Discovery.

Rodosthenis S Rodosthenous, Elizabeth Hutchins, Rebecca Reiman, Ashish S Yeri, Srimeenakshi Srinivasan, Timothy G Whitsett, Ionita Ghiran, Michael G Silverman, Louise C Laurent, Kendall Van Keuren-Jensen and 1 more

Open access · goldAbstract read
In one paragraph

Article in iScience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

26 citing papers in PubMed, 40 citations in OpenAlex.

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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

11 authors at 4 institutions in 1 country.

Rodosthenis S RodosthenousCardiovascular Research Center, Massachusetts General Hospital, Harvard Medical School, 185 Cambridge Street, Simches 3(rd) Floor, Boston, MA 02114, USA.
Elizabeth HutchinsDivision of Neurogenomics, The Translational Genomics Research Institute, Phoenix, AZ 85004, USA.
Rebecca ReimanDivision of Neurogenomics, The Translational Genomics Research Institute, Phoenix, AZ 85004, USA.
Ashish S YeriCardiovascular Research Center, Massachusetts General Hospital, Harvard Medical School, 185 Cambridge Street, Simches 3(rd) Floor, Boston, MA 02114, USA.
Srimeenakshi SrinivasanDepartment of Obstetrics, Gynecology, and Reproductive Sciences, Sanford Consortium for Regenerative Medicine, University of California, San Diego, La Jolla, CA 92093, USA.
Timothy G WhitsettDivision of Neurogenomics, The Translational Genomics Research Institute, Phoenix, AZ 85004, USA.
Ionita GhiranDepartment of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA.
Michael G SilvermanCardiovascular Research Center, Massachusetts General Hospital, Harvard Medical School, 185 Cambridge Street, Simches 3(rd) Floor, Boston, MA 02114, USA.
Louise C LaurentDepartment of Obstetrics, Gynecology, and Reproductive Sciences, Sanford Consortium for Regenerative Medicine, University of California, San Diego, La Jolla, CA 92093, USA.
Kendall Van Keuren-JensenDivision of Neurogenomics, The Translational Genomics Research Institute, Phoenix, AZ 85004, USA. Electronic address: kjensen@tgen.com.
Saumya DasCardiovascular Research Center, Massachusetts General Hospital, Harvard Medical School, 185 Cambridge Street, Simches 3(rd) Floor, Boston, MA 02114, USA. Electronic address: sdas@mgh.harvard.edu.
Harvard University · USTranslational Genomics Research Institute · USUniversity of California San Diego · USBeth Israel Deaconess Medical Center · US

Funding

TRAINING IN REPRODUCTIVE SCIENCEST32HD007203 · NICHD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PAMELA L MELLON · 1988 to 2026
$4.8M
NICHD NIH HHS T32 HD007203
6 · The paper itself

Abstract

The recent discovery of extracellular RNAs in blood, including RNAs in extracellular vesicles (EVs), combined with low-input RNA-sequencing advances have enabled scientists to investigate their role in human disease. To date, most studies have been focusing on small RNAs, and methodologies to optimize long RNAs measurement are lacking. We used plasma RNA to assess the performance of six long RNA sequencing methods, at two different sites, and we report their differences in reads (%) mapped to the genome/transcriptome, number of genes detected, long RNA transcript diversity, and reproducibility. Using the best performing method, we further compare the profile of long RNAs in the EV- and no-EV-enriched RNA plasma compartments. These results provide insights on the performance and reproducibility of commercially available kits in assessing the landscape of long RNAs in human plasma and different extracellular RNA carriers that may be exploited for biomarker discovery.

Indexed as

Medical Laboratory TechnologyOmicsTranscriptomics

Identifiers

PMID32512385
PMCPMC7283149
OpenAlexW3027856535

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.