Evidence map›Paper›PMID 29685897›Full record

ArticleClinical chemistry2018

Characterization of Human Salivary Extracellular RNA by Next-generation Sequencing.

Feng Li, Karolina Elżbieta Kaczor-Urbanowicz, Jie Sun, Blanca Majem, Hsien-Chun Lo, Yong Kim, Kikuye Koyano, Shannon Liu Rao, So Young Kang, Su Mi Kim and 7 more

Open access · bronzeAbstract read
In one paragraph

Article in Clinical chemistry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
1.7field-weighted citation impact, top 18% 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

37 citing papers in PubMed, 71 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

17 authors at 4 institutions in 4 countries.

Feng LiInstitute of Diagnostic in Chinese Medicine, Hunan University of Chinese Medicine, Hunan, China.
Karolina Elżbieta Kaczor-UrbanowiczCenter for Oral/Head & Neck Oncology Research, School of Dentistry, University of California at Los Angeles, Los Angeles, CA.
Jie SunMedical School of Shenzhen University, Shenzhen, Guangdong, China.
Blanca MajemBiomedical Research Unit in Gynecology, Vall d'Hebron Research Institute (VHIR) and University Hospital, University Autonoma of Barcelona (UAB), Barcelona, Spain.
Hsien-Chun LoDepartment of Integrative Biology and Physiology, University of California at Los Angeles, Los Angeles, CA.
Yong KimCenter for Oral/Head & Neck Oncology Research, School of Dentistry, University of California at Los Angeles, Los Angeles, CA.
Kikuye KoyanoDepartment of Integrative Biology and Physiology, University of California at Los Angeles, Los Angeles, CA.
Shannon Liu RaoCenter for Oral/Head & Neck Oncology Research, School of Dentistry, University of California at Los Angeles, Los Angeles, CA.
So Young KangDepartment of Pathology and Translational Genomics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Su Mi KimDepartment of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Kyoung-Mee KimDepartment of Pathology and Translational Genomics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Sung KimDepartment of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
David ChiaDepartment of Pathology & Laboratory Medicine, University of California at Los Angeles, Los Angeles, CA.
David ElashoffDepartment of Biostatistics, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA.
Tristan R GroganDepartment of Biostatistics, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA.
Xinshu XiaoDepartment of Integrative Biology and Physiology, University of California at Los Angeles, Los Angeles, CA.
David T W WongCenter for Oral/Head & Neck Oncology Research, School of Dentistry, University of California at Los Angeles, Los Angeles, CA; dtww@ucla.edu.
University of California, Los Angeles · USSungkyunkwan University · KRShenzhen University · CNVall d'Hebron Institut de Recerca · ES

Funding

Clinical Utility of Salivary ExRNA Biomarkers for Gastric Cancer DetectionUH3TR000923 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI WONG, DAVID T · 2015 to 2017
$2.7M
UCLA Dentist-Scientist and Oral Health-Researcher Training ProgramT90DE022734 · NIDCR · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI WONG, DAVID T · 2012 to 2017
$2.3M
Clinical Utility of Salivary ExRNA Biomarkers for Gastric Cancer DetectionUH2TR000923 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI WONG, DAVID T · 2013 to 2014
$996k
NCATS NIH HHS UH2 TR000923NCATS NIH HHS UH3 TR000923NIDCR NIH HHS T90 DE022734
6 · The paper itself

Abstract

backgroundIt was recently discovered that abundant and stable extracellular RNA (exRNA) species exist in bodily fluids. Saliva is an emerging biofluid for biomarker development for noninvasive detection and screening of local and systemic diseases. Use of RNA-Sequencing (RNA-Seq) to profile exRNA is rapidly growing; however, no single preparation and analysis protocol can be used for all biofluids. Specifically, RNA-Seq of saliva is particularly challenging owing to high abundance of bacterial contents and low abundance of salivary exRNA. Given the laborious procedures needed for RNA-Seq library construction, sequencing, data storage, and data analysis, saliva-specific and optimized protocols are essential.

methodsWe compared different RNA isolation methods and library construction kits for long and small RNA sequencing. The role of ribosomal RNA (rRNA) depletion also was evaluated.

resultsThe miRNeasy Micro Kit (Qiagen) showed the highest total RNA yield (70.8 ng/mL cell-free saliva) and best small RNA recovery, and the NEBNext library preparation kits resulted in the highest number of detected human genes [5649-6813 at 1 reads per kilobase RNA per million mapped (RPKM)] and small RNAs [482-696 microRNAs (miRNAs) and 190-214 other small RNAs]. The proportion of human RNA-Seq reads was much higher in rRNA-depleted saliva samples (41%) than in samples without rRNA depletion (14%). In addition, the transfer RNA (tRNA)-derived RNA fragments (tRFs), a novel class of small RNAs, were highly abundant in human saliva, specifically tRF-4 (4%) and tRF-5 (15.25%).

conclusionsOur results may help in selection of the best adapted methods of RNA isolation and small and long RNA library constructions for salivary exRNA studies.

Indexed as

DNA, ComplementaryExtracellular SpaceHumansRNASalivaSequence Analysis, RNADNA, ComplementaryRNA

Identifiers

PMID29685897
PMCPMC7759158
OpenAlexW2801634881

What OpenQuestion holds

Textmetadata
LicenceTDM
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.