Evidence map›Paper›PMID 20634878›Full record

ArticleJournal of biomedicine & biotechnology2010

High-throughput sequencing of microRNAs in adenovirus type 3 infected human laryngeal epithelial cells.

Yuhua Qi, Jing Tu, Lunbiao Cui, Xiling Guo, Zhiyang Shi, Shuchun Li, Wenting Shi, Yunfeng Shan, Yiyue Ge, Jun Shan and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of biomedicine & biotechnology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.9field-weighted citation impact, top 13% 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

21 citing papers in PubMed, 37 citations in OpenAlex.

  1. Article
  2. Review
  3. Bioselection Reveals miR-99b and miR-485 as Enhancers of Adenoviral Oncolysis in Pancreatic Cancer.Molecular therapy : the journal of the American Society of Gene Therapy · 2019
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  19. Next-generation sequencing of microRNAs for breast cancer detection.Journal of biomedicine & biotechnology · 2011
    Article
  20. Potential pitfalls in microRNA profiling.Wiley interdisciplinary reviews. RNA
    Review
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

12 authors at 3 institutions in 1 country.

Yuhua QiState Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, SiPaiLou2#, Nanjing 210096, China.
Jing Tu
Lunbiao Cui
Xiling Guo
Zhiyang Shi
Shuchun Li
Wenting Shi
Yunfeng Shan
Yiyue Ge
Jun Shan
Hua Wang
Zuhong Lu
Jiangsu Provincial Center for Disease Control and Prevention · CNSoutheast University · CNState Key Laboratory of Digital Medical Engineering

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adenovirus infection can cause various illnesses depending on the infecting serotype, such as gastroenteritis, conjunctivitis, cystitis, and rash illness, but the infection mechanism is still unknown. MicroRNAs (miRNA) have been reported to play essential roles in cell proliferation, cell differentiation, and pathogenesis of human diseases including viral infections. We analyzed the miRNA expression profiles from adenovirus type 3 (AD3) infected Human laryngeal epithelial (Hep2) cells using a SOLiD deep sequencing. 492 precursor miRNAs were identified in the AD3 infected Hep2 cells, and 540 precursor miRNAs were identified in the control. A total of 44 miRNAs demonstrated high expression and 36 miRNAs showed lower expression in the AD3 infected cells than control. The biogenesis of miRNAs has been analyzed, and some of the SOLiD results were confirmed by Quantitative PCR analysis. The present studies may provide a useful clue for the biological function research into AD3 infection.

Indexed as

Adenoviruses, HumanAdenovirus Infections, HumanCell LineEpithelial CellsGene Expression ProfilingHigh-Throughput Screening AssaysHost-Pathogen InteractionsHumansLaryngeal MucosaMicroRNAsReproducibility of ResultsReverse Transcriptase Polymerase Chain ReactionSequence Analysis, RNAVirus ReplicationMicroRNAs

Identifiers

PMID20634878
PMCPMC2896912
OpenAlexW2126430312

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.