Evidence map›Paper›PMID 29016307›Full record

ArticleThe American journal of tropical medicine and hygiene2017

The Differential Expression and Possible Function of Long Noncoding RNAs in Liver Cells Infected by Dengue Virus.

Xiao-Jun Wang, Shi-Chen Jiang, Hai-Xia Wei, Sheng-Qun Deng, Cheng He, Hong-Juan Peng

Open access · bronzeAbstract read
In one paragraph

Article in The American journal of tropical medicine and hygiene, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

12 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Regulation of Host Innate Immunity by Non-Coding RNAs During Dengue Virus Infection.Frontiers in cellular and infection microbiology · 2020
    Review
  9. Article
  10. RNASeq Analysis ofViruses · 2019
    Article
  11. Review
  12. 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

6 authors at 2 institutions in 1 country.

Xiao-Jun WangDepartment of Epidemiology and Biostatistics, School of Public Health, Guangdong Medical University, Dongguan, Guangdong, People's Republic of China.
Shi-Chen JiangDepartment of Pathogen Biology, Guangdong Provincial Key Laboratory of Tropical Disease Research, and Key Laboratory of Prevention and Control for Emerging Infectious Diseases of Guangdong Higher Institutes, School of Public Health, Southern Medical University, Guangzhou, Guangdong Province, China.
Hai-Xia WeiDepartment of Pathogen Biology, Guangdong Provincial Key Laboratory of Tropical Disease Research, and Key Laboratory of Prevention and Control for Emerging Infectious Diseases of Guangdong Higher Institutes, School of Public Health, Southern Medical University, Guangzhou, Guangdong Province, China.
Sheng-Qun DengDepartment of Pathogen Biology, Guangdong Provincial Key Laboratory of Tropical Disease Research, and Key Laboratory of Prevention and Control for Emerging Infectious Diseases of Guangdong Higher Institutes, School of Public Health, Southern Medical University, Guangzhou, Guangdong Province, China.
Cheng HeDepartment of Pathogen Biology, Guangdong Provincial Key Laboratory of Tropical Disease Research, and Key Laboratory of Prevention and Control for Emerging Infectious Diseases of Guangdong Higher Institutes, School of Public Health, Southern Medical University, Guangzhou, Guangdong Province, China.
Hong-Juan PengDepartment of Pathogen Biology, Guangdong Provincial Key Laboratory of Tropical Disease Research, and Key Laboratory of Prevention and Control for Emerging Infectious Diseases of Guangdong Higher Institutes, School of Public Health, Southern Medical University, Guangzhou, Guangdong Province, China.
Southern Medical University · CNGuangdong Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The function of long noncoding RNAs (lncRNAs) in liver injury resulted by dengue virus (DENV) infection have not yet been explored. The differential expression profiles of lncRNAs (as well as mRNAs) in the L-02 liver cells infected by DENV1, DENV2, or uninfected were compared and analyzed after a high throughput RNA seq. The significantly up-regulated and down-regulated lncRNAs (or mRNAs) resulted by DENV infection were identified with a cutoff value at log2 (ratio) ≥ 1.5 and log2 (ratio) ≤ -1.5 (ratio = the reads of the lncRNAs or mRNAs from the infection groups divided by the reads from the control group). Several differentially expressed lncRNAs were verified with reverse transcription quantitative real-time polymerase chain reaction (RT-qPCR). Target gene analysis, pre-miRNA prediction, and the lncRNA-mRNA co-expression network construction were performed to predict the function of the differentially expressed lncRNAs. The differentially expressed lncRNAs were associated with biosynthesis, DNA/RNA related processes, inhibition of estrogen signaling pathway, sterol biosynthetic process, protein dimerization activity, vesicular fraction in DENV1 infection group; and with protein secretion, methyltransferase process, host cell cytoskeleton reorganization and the small GTPase Ras superfamily, inhibition of cell proliferation, induction of apoptosis in DENV2 infection. LncRNAs might be novel diagnostic markers and targets for further researches on dengue infection and liver injury resulted by dengue virus.

Indexed as

Cell LineCell ProliferationDengueDengue VirusHepatocytesHumansLiverRNA, Long NoncodingSequence Analysis, RNATranscriptomeRNA, Long Noncoding

Identifiers

PMID29016307
PMCPMC5805055
OpenAlexW2764336456

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.