Evidence map›Paper›PMID 28961734›Full record

ArticleBioinformatics (Oxford, England)2018

Novel approaches for bioinformatic analysis of salivary RNA sequencing data for development.

Karolina Elzbieta Kaczor-Urbanowicz, Yong Kim, Feng Li, Timur Galeev, Rob R Kitchen, Mark Gerstein, Kikuye Koyano, Sung-Hee Jeong, Xiaoyan Wang, David Elashoff and 8 more

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Salivary Exosomes in Health and Disease: Future Prospects in the Eye.International journal of molecular sciences · 2023
    Review
  10. Review
  11. Article
  12. One-Year Update on Salivary Diagnostic of COVID-19.Frontiers in public health · 2021
    Review
  13. Article
  14. Microbial extracellular RNAs and their roles in human diseases.Experimental biology and medicine (Maywood, N.J.) · 2020
    Review
  15. Clinical validity of saliva and novel technology for cancer detection.Biochimica et biophysica acta. Reviews on cancer · 2019
    Review
  16. Article
  17. Article
  18. 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

18 authors.

Karolina Elzbieta Kaczor-UrbanowiczCenter for Oral/Head & Neck Oncology Research, School of Dentistry, Division of Oral Biology & Medicine University of California at Los Angeles, Los Angeles, CA 90095, USA.
Yong KimCenter for Oral/Head & Neck Oncology Research, School of Dentistry, Division of Oral Biology & Medicine University of California at Los Angeles, Los Angeles, CA 90095, USA.
Feng LiCenter for Oral/Head & Neck Oncology Research, School of Dentistry, Division of Oral Biology & Medicine University of California at Los Angeles, Los Angeles, CA 90095, USA.
Timur GaleevDepartment of Molecular Biophysics and Biochemistry, Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06520, USA.
Rob R KitchenDepartment of Molecular Biophysics and Biochemistry, Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06520, USA.
Mark GersteinDepartment of Molecular Biophysics and Biochemistry, Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06520, USA.
Kikuye KoyanoDepartment of Integrative Biology and Physiology, University of California at Los Angeles, Los Angeles, CA 90095-1570, USA.
Sung-Hee JeongDepartment of Oral Medicine, School of Dentistry, Pusan National University, Beomeo-ri, Mulgeum-eup, Yangsan-si, Gyeongsangnam-do 626-770, Korea.
Xiaoyan WangDepartment of Biostatistics, University of California at Los Angeles, Los Angeles, CA 90024, USA.
David ElashoffDepartment of Biostatistics, University of California at Los Angeles, Los Angeles, CA 90024, USA.
So Young KangDepartment of Pathology & Translational Genomics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Gangnam-gu, Seoul, Korea.
Su Mi KimDepartment of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Gangnam-gu, Seoul, Korea.
Kyoung KimDepartment of Pathology & Translational Genomics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Gangnam-gu, Seoul, Korea.
Sung KimDepartment of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Gangnam-gu, Seoul, Korea.
David ChiaDepartment of Pathology & Laboratory Medicine, University of California at Los Angeles, Los Angeles, CA 90095, USA.
Xinshu XiaoDepartment of Integrative Biology and Physiology, University of California at Los Angeles, Los Angeles, CA 90095-1570, USA.
Joel RozowskyDepartment of Molecular Biophysics and Biochemistry,Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06520, USA.
David T W WongCenter for Oral/Head & Neck Oncology Research, School of Dentistry, Division of Oral Biology & Medicine University of California at Los Angeles, Los Angeles, CA 90095, USA.

Funding

Women's CancersP30CA016042 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Samuel Wheeler French · 1985 to 2026
$134.5M
UCLA Clinical Translational Science InstituteUL1TR001881 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ARLEEN F. BROWN, ARASH NAEIM · 2016 to 2026
$118.1M
SOC CoreU54DA036134 · NIDA · BAYLOR COLLEGE OF MEDICINE · PI GALAS, DAVID J., GERSTEIN, MARK BENDER · 2013 to 2018
$15.0M
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
NCATS NIH HHS UH3 TR000923NCATS NIH HHS UL1 TR001881NCI NIH HHS P30 CA016042NIDA NIH HHS U54 DA036134NIDCR NIH HHS T90 DE022734
6 · The paper itself

Abstract

Motivation: Analysis of RNA sequencing (RNA-Seq) data in human saliva is challenging. Lack of standardization and unification of the bioinformatic procedures undermines saliva's diagnostic potential. Thus, it motivated us to perform this study. Results: We applied principal pipelines for bioinformatic analysis of small RNA-Seq data of saliva of 98 healthy Korean volunteers including either direct or indirect mapping of the reads to the human genome using Bowtie1. Analysis of alignments to exogenous genomes by another pipeline revealed that almost all of the reads map to bacterial genomes. Thus, salivary exRNA has fundamental properties that warrant the design of unique additional steps while performing the bioinformatic analysis. Our pipelines can serve as potential guidelines for processing of RNA-Seq data of human saliva. Availability and implementation: Processing and analysis results of the experimental data generated by the exceRpt (v4.6.3) small RNA-seq pipeline (github.gersteinlab.org/exceRpt) are available from exRNA atlas (exrna-atlas.org). Alignment to exogenous genomes and their quantification results were used in this paper for the analyses of small RNAs of exogenous origin. Contact: dtww@ucla.edu.

Indexed as

SoftwareComputational BiologyHigh-Throughput Nucleotide SequencingHumansRNASalivaSequence Analysis, RNARNA

Identifiers

PMID28961734
PMCPMC5859991

What OpenQuestion holds

Textmetadata
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.