Evidence map›Paper›PMID 27066498›Full record

ArticleBioMed research international2016

Using Small RNA Deep Sequencing Data to Detect Human Viruses.

Fang Wang, Yu Sun, Jishou Ruan, Rui Chen, Xin Chen, Chengjie Chen, Jan F Kreuze, ZhangJun Fei, Xiao Zhu, Shan Gao

Abstract read
In one paragraph

Article in BioMed research international, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Pathogenic viruses: Molecular detection and characterization.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2020
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. The Role of miRNAs in Virus-Mediated Oncogenesis.International journal of molecular sciences · 2018
    Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Utilizing Selected Di- and Trinucleotides of siRNA to Predict RNAi Activity.Computational and mathematical methods in medicine · 2017
    Article
  16. 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

10 authors.

Fang WangDepartment of Gynaecology, The Second Hospital, Tianjin Medical University, Tianjin 300211, China.
Yu SunCollege of Life Sciences, Nankai University, Tianjin 300071, China.
Jishou RuanSchool of Mathematical Sciences, Nankai University, Tianjin 300071, China.
Rui ChenTianjin Institute of Agricultural Quality Standard and Testing Technology, Tianjin Academy of Agricultural Sciences, Tianjin 300381, China.
Xin ChenCollege of Life Sciences, Nankai University, Tianjin 300071, China.
Chengjie ChenCollege of Horticulture, South China Agricultural University, Guangzhou, Guangdong 510642, China.
Jan F KreuzeInternational Potato Center (CIP), Apartado 1558, Lima 12, Peru.
ZhangJun FeiBoyce Thompson Institute for Plant Research, Cornell University, Ithaca, NY 14853, USA.
Xiao ZhuGuangdong Provincial Key Laboratory of Medical Molecular Diagnostics, Dongguan Scientific Research Center, Guangdong Medical University, Dongguan, Guangdong 523808, China.
Shan GaoCollege of Life Sciences, Nankai University, Tianjin 300071, China.ORCID 0000-0002-8919-1338

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Small RNA sequencing (sRNA-seq) can be used to detect viruses in infected hosts without the necessity to have any prior knowledge or specialized sample preparation. The sRNA-seq method was initially used for viral detection and identification in plants and then in invertebrates and fungi. However, it is still controversial to use sRNA-seq in the detection of mammalian or human viruses. In this study, we used 931 sRNA-seq runs of data from the NCBI SRA database to detect and identify viruses in human cells or tissues, particularly from some clinical samples. Six viruses including HPV-18, HBV, HCV, HIV-1, SMRV, and EBV were detected from 36 runs of data. Four viruses were consistent with the annotations from the previous studies. HIV-1 was found in clinical samples without the HIV-positive reports, and SMRV was found in Diffuse Large B-Cell Lymphoma cells for the first time. In conclusion, these results suggest the sRNA-seq can be used to detect viruses in mammals and humans.

Indexed as

Carcinoma, HepatocellularHeLa CellsHepatitis BHumansLiverLiver NeoplasmsRNA, ViralSequence Analysis, RNAVirus DiseasesVirusesRNA, Viral

Identifiers

PMID27066498
PMCPMC4811048

What OpenQuestion holds

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Registered trials

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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.