Evidence map›Paper›PMID 34718748›Full record

ArticleNucleic acids research2022

MVIP: multi-omics portal of viral infection.

Zhidong Tang, Weiliang Fan, Qiming Li, Dehe Wang, Miaomiao Wen, Junhao Wang, Xingqiao Li, Yu Zhou

Abstract readDataset
In one paragraph

Article in Nucleic acids research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. GIDISdb: a gene expression database for exploring human immune responses in infectious diseases.Database : the journal of biological databases and curation · 2026
    Article
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  5. Review
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  7. Knowledge-guided learning methods for integrative analysis of multi-omics data.Computational and structural biotechnology journal · 2024
    Review
  8. Article
  9. Article
  10. Review
  11. Review
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  18. Article
  19. TargetMine 2022: a new vision into drug target analysis.Bioinformatics (Oxford, England) · 2022
    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

8 authors.

Zhidong TangState Key Laboratory of Virology, College of Life Sciences, Wuhan University, Wuhan 430072, China.
Weiliang FanState Key Laboratory of Virology, College of Life Sciences, Wuhan University, Wuhan 430072, China.
Qiming LiState Key Laboratory of Virology, College of Life Sciences, Wuhan University, Wuhan 430072, China.
Dehe WangState Key Laboratory of Virology, College of Life Sciences, Wuhan University, Wuhan 430072, China.ORCID 0000-0002-9465-0957
Miaomiao WenInstitute for Advanced Studies, Wuhan University, Wuhan 430072, China.
Junhao WangState Key Laboratory of Virology, College of Life Sciences, Wuhan University, Wuhan 430072, China.
Xingqiao LiState Key Laboratory of Virology, College of Life Sciences, Wuhan University, Wuhan 430072, China.
Yu ZhouState Key Laboratory of Virology, College of Life Sciences, Wuhan University, Wuhan 430072, China.ORCID 0000-0002-2102-9377

Funding

Fundamental Research Funds for the Central Universities 2042020kf1069Hubei Provincial Natural Science Foundation 2020CFA057National Key Research and Development Program of China 2017YFA0504400National Natural Science Foundation of China 31922039
6 · The paper itself

Abstract

Virus infections are huge threats to living organisms and cause many diseases, such as COVID-19 caused by SARS-CoV-2, which has led to millions of deaths. To develop effective strategies to control viral infection, we need to understand its molecular events in host cells. Virus related functional genomic datasets are growing rapidly, however, an integrative platform for systematically investigating host responses to viruses is missing. Here, we developed a user-friendly multi-omics portal of viral infection named as MVIP (https://mvip.whu.edu.cn/). We manually collected available high-throughput sequencing data under viral infection, and unified their detailed metadata including virus, host species, infection time, assay, and target, etc. We processed multi-layered omics data of more than 4900 viral infected samples from 77 viruses and 33 host species with standard pipelines, including RNA-seq, ChIP-seq, and CLIP-seq, etc. In addition, we integrated these genome-wide signals into customized genome browsers, and developed multiple dynamic charts to exhibit the information, such as time-course dynamic and differential gene expression profiles, alternative splicing changes and enriched GO/KEGG terms. Furthermore, we implemented several tools for efficiently mining the virus-host interactions by virus, host and genes. MVIP would help users to retrieve large-scale functional information and promote the understanding of virus-host interactions.

Indexed as

Databases, FactualHost Microbial InteractionsVirus DiseasesAnimalsChromatin Immunoprecipitation SequencingGene OntologyGenome, ViralHigh-Throughput Nucleotide SequencingHumansMetadataSequence Analysis, RNASoftwareTranscriptomeUser-Computer InterfaceWeb Browser

Identifiers

PMID34718748
PMCPMC8689837

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.