Evidence map›Paper›PMID 31134586›Full record

ArticleVirologica Sinica2019

Proteomics Profiling of Host Cell Response via Protein Expression and Phosphorylation upon Dengue Virus Infection.

Meng Miao, Fei Yu, Danya Wang, Yongjia Tong, Liuting Yang, Jiuyue Xu, Yang Qiu, Xi Zhou, Xiaolu Zhao

Abstract read
In one paragraph

Article in Virologica Sinica, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Viral Modulation of Host Splicing.Annual review of virology · 2025
    Review
  6. Article
  7. Review
  8. Subgenomic flaviviral RNAs and human proteins:Computational and structural biotechnology journal · 2024
    Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. DNA-PKcs restrictsFrontiers in immunology · 2022
    Article
  17. Review
  18. Article
  19. Article
  20. 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

9 authors.

Meng MiaoState Key Laboratory of Virology, College of Life Sciences, Wuhan University, Wuhan, 430072, China.
Fei YuState Key Laboratory of Virology, College of Life Sciences, Wuhan University, Wuhan, 430072, China.
Danya WangState Key Laboratory of Virology, College of Life Sciences, Wuhan University, Wuhan, 430072, China.
Yongjia TongState Key Laboratory of Virology, College of Life Sciences, Wuhan University, Wuhan, 430072, China.
Liuting YangState Key Laboratory of Virology, College of Life Sciences, Wuhan University, Wuhan, 430072, China.
Jiuyue XuLaboratory of RNA Virology, Wuhan Institute of Virology, Chinese Academy of Science, Wuhan, 430071, China.
Yang QiuLaboratory of RNA Virology, Wuhan Institute of Virology, Chinese Academy of Science, Wuhan, 430071, China.
Xi ZhouState Key Laboratory of Virology, College of Life Sciences, Wuhan University, Wuhan, 430072, China. zhouxi@whu.edu.cn.ORCID http://orcid.org/0000-0002-3846-5079
Xiaolu ZhaoState Key Laboratory of Virology, College of Life Sciences, Wuhan University, Wuhan, 430072, China. zhaoxiaolu@whu.edu.cn.ORCID http://orcid.org/0000-0003-1535-3880

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dengue virus (DENV) infection is a worldwide public health threat. To date, the knowledge about the pathogenesis and progression of DENV infection is still limited. Combining global profiling based on proteomic analysis together with functional verification analysis is a powerful strategy to investigate the interplay between the virus and host cells. In the present study, quantitative proteomics has been applied to evaluate host responses (as indicated by altered proteins and modifications) in human cells (using K562 cell line) upon DENV-2 infection, as DENV-2 spreads most widely among all DENV serotypes. Comparative analysis was performed to define differentially expressed proteins in the infected cells compared to the mock-control, and it revealed critical pathogen-induced changes covering a broad spectrum of host cellular compartments and processes. We also discovered more dramatic changes (> 20%, 160 regulated phosphoproteins) in protein phosphorylation compared to protein expression (14%, 321 regulated proteins). Most of these proteins/phosphoproteins were involved in transcription regulation, RNA splicing and processing, immune system, cellular response to stimulus, and macromolecule biosynthesis. Western blot analysis was also performed to confirm the proteomic data. Potential roles of these altered proteins were discussed. The present study provides valuable large-scale protein-related information for elucidating the functional emphasis of host cell proteins and their post-translational modifications in virus infection, and also provides insight and protein evidence for understanding the general pathogenesis and pathology of DENV.

Indexed as

ProteomicsVirus ReplicationComputational BiologyDengue VirusHost-Pathogen InteractionsHumansK562 CellsPhosphorylationProtein Processing, Post-TranslationalDengue virus (DENV)Protein expressionProtein phosphorylationQuantitative proteomicsVirus-host interaction

Identifiers

PMID31134586
PMCPMC6814695

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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.