Evidence map›Paper›PMID 38415010›Full record

ArticleFrontiers in cellular and infection microbiology2024

Transcriptome and proteomic analysis of mpox virus F3L-expressing cells.

Yihao Wang, Junzhe Zhang, Mingzhi Li, Mengle Jia, Lingdi Yang, Ting Wang, Yu Wang, Lumei Kang, Meifeng Li, Lingbao Kong

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
4.4field-weighted citation impact, top 5% 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

11 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Frontiers in microbiology · 2025
    Article
  7. Article
  8. Monkeypox (Mpox): Diagnosis and Emerging Challenges.The Yale journal of biology and medicine · 2024
    Review
  9. Article
  10. Article
  11. 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 at 1 institution in 1 country.

Yihao WangInstitute of Pathogenic Microorganism, Jiangxi Agricultural University, Nanchang, Jiangxi, China.
Junzhe ZhangInstitute of Pathogenic Microorganism, Jiangxi Agricultural University, Nanchang, Jiangxi, China.
Mingzhi LiInstitute of Pathogenic Microorganism, Jiangxi Agricultural University, Nanchang, Jiangxi, China.
Mengle JiaInstitute of Pathogenic Microorganism, Jiangxi Agricultural University, Nanchang, Jiangxi, China.
Lingdi YangInstitute of Pathogenic Microorganism, Jiangxi Agricultural University, Nanchang, Jiangxi, China.
Ting WangInstitute of Pathogenic Microorganism, Jiangxi Agricultural University, Nanchang, Jiangxi, China.
Yu WangInstitute of Pathogenic Microorganism, Jiangxi Agricultural University, Nanchang, Jiangxi, China.
Lumei KangInstitute of Pathogenic Microorganism, Jiangxi Agricultural University, Nanchang, Jiangxi, China.
Meifeng LiInstitute of Pathogenic Microorganism, Jiangxi Agricultural University, Nanchang, Jiangxi, China.
Lingbao KongInstitute of Pathogenic Microorganism, Jiangxi Agricultural University, Nanchang, Jiangxi, China.
Jiangxi Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Monkeypox or mpox virus (mpox) is a double-stranded DNA virus that poses a significant threat to global public health security. The F3 protein, encoded by mpox, is an apoenzyme believed to possess a double-stranded RNA-binding domain (dsRBD). However, limited research has been conducted on its function. In this study, we present data on the transcriptomics and proteomics of F3L-transfected HEK293T cells, aiming to enhance our comprehension of F3L. Methods: The gene expression profiles of pCAGGS-HA-F3L transfected HEK293T cells were analyzed using RNA-seq. Proteomics was used to identify and study proteins that interact with F3L. Real-time PCR was used to detect mRNA levels of several differentially expressed genes (DEGs) in HEK293T cells (or Vero cells) after the expression of F3 protein. Results: A total of 14,822 genes were obtained in cells by RNA-Seq and 1,672 DEGs were identified, including 1,156 up-regulated genes and 516 down-regulated genes. A total of 27 cellular proteins interacting with F3 proteins were identified by liquid chromatography-tandem mass spectrometry (LC-MS/MS), and 19 cellular proteins with large differences in abundance ratios were considered to be candidate cellular proteins. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses showed that the DEGs were significantly enriched in immune-related pathways, including type I interferon signaling pathway, response to virus, RIG-I-like receptor signaling pathway, NOD-like receptor signaling pathway, etc. Moreover, some selected DEGs were further confirmed by real-time PCR and the results were consistent with the transcriptome data. Proteomics data show that cellular proteins interacting with F3 proteins are mainly related to RNA splicing and protein translation. Conclusions: Our analysis of transcriptomic and proteomic data showed that (1) F3L up-regulates the transcript levels of key genes in the innate immune signaling pathway, such as

Indexed as

Mpox, MonkeypoxTranscriptomeAnimalsChlorocebus aethiopsChromatography, LiquidGene Expression ProfilingHEK293 CellsHumansMonkeypox virusProteomicsRibonucleoprotein, U1 Small NuclearTandem Mass SpectrometryVero CellsRibonucleoprotein, U1 Small NuclearSNRNP70 protein, humanF3Linnate immune signaling pathwaympox virusproteomictranscriptome

Identifiers

PMID38415010
PMCPMC10896956
OpenAlexW4391784902

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LicenceCC BY
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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.