Evidence map›Paper›PMID 28803886›Full record

ArticleAnalytical biochemistry2017

A method for extracting and characterizing RNA from urine: For downstream PCR and RNAseq analysis.

Kun Zhou, Monique A Spillman, Kian Behbakht, Julia M Komatsu, Juan E Abrahante, Douglas Hicks, Brent Schotl, Evan Odean, Kenneth L Jones, Michael W Graner and 1 more

Open access · greenAbstract read
In one paragraph

Article in Analytical biochemistry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.3field-weighted citation impact, top 45% 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

6 citing papers in PubMed, 9 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.

Kun ZhouUniversity of Minnesota Medical School - Duluth, 1035 University Drive, Duluth, MN 55812-3031, USA.
Monique A SpillmanTexas A&M University Medical School, Baylor University Medical Center, Dallas, TX, USA.
Kian BehbakhtUniversity of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA.
Julia M KomatsuUniversity of Minnesota Medical School - Duluth, 1035 University Drive, Duluth, MN 55812-3031, USA.
Juan E AbrahanteUniversity of Minnesota Informatics Institute, University of Minnesota, Minneapolis, MN, USA.
Douglas HicksUniversity of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA.
Brent SchotlUniversity of Minnesota Medical School - Duluth, 1035 University Drive, Duluth, MN 55812-3031, USA.
Evan OdeanUniversity of Minnesota Medical School - Duluth, 1035 University Drive, Duluth, MN 55812-3031, USA.
Kenneth L JonesUniversity of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA.
Michael W GranerUniversity of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA.
Lynne T BemisUniversity of Minnesota Medical School - Duluth, 1035 University Drive, Duluth, MN 55812-3031, USA. Electronic address: ltbemis@d.umn.edu.
University of Minnesota, Duluth · USUniversity of Colorado Anschutz Medical Campus · USBaylor University Medical Center · USUniversity of Minnesota · US

Funding

University of Colorado Cancer Center Support Grant - Lung Cancer Patient-Derived Xenografts with Autologous Human Immune SystemsP30CA046934 · NCI · UNIVERSITY OF COLORADO DENVER · PI James V Degregori · 1988 to 2026
$117.0M
NCI NIH HHS P30 CA046934
6 · The paper itself

Abstract

Readily accessible samples such as urine or blood are seemingly ideal for differentiating and stratifying patients; however, it has proven a daunting task to identify reliable biomarkers in such samples. Noncoding RNA holds great promise as a source of biomarkers distinguishing physiologic wellbeing or illness. Current methods to isolate and characterize RNA molecules in urine are limited. In this proof of concept study, we present a method to extract and identify small noncoding RNAs in urine. Initially, quantitative reverse transcription PCR was applied to confirm the presence of microRNAs in total RNA extracted from urine. Once the presence of micro RNA in urine was confirmed, we developed a method to scale up RNA extraction to provide adequate amounts of RNA for next generation sequence analysis. The method described in this study is applicable to detecting a broad range of small noncoding RNAs in urine; thus, they have wide applicability for health and disease analyses.

Indexed as

Reverse Transcriptase Polymerase Chain ReactionSequence Analysis, RNAAgedFemaleHumansMicroRNAsMiddle AgedOvarian NeoplasmsMicroRNAsExtracellular RNA in urineNoncoding RNAOvarian cancerSmall RNA next generation sequencingtRNA fragments

Identifiers

PMID28803886
PMCPMC6278937
OpenAlexW2743074240

What OpenQuestion holds

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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.