Evidence map›Paper›PMID 38076406›Full record

ArticleInfectious medicine2023

Analysis of gene expression profile for identification of novel gene signatures during dengue infection.

Jhansi Venkata Nagamani Josyula, Prathima Talari, Agiesh Kumar Balakrishna Pillai, Srinivasa Rao Mutheneni

Abstract read
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Article in Infectious medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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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

4 authors.

Jhansi Venkata Nagamani JosyulaApplied Biology Division, CSIR-Indian Institute of Chemical Technology, Tarnaka, Hyderabad, 500007, Telangana, India.
Prathima TalariApplied Biology Division, CSIR-Indian Institute of Chemical Technology, Tarnaka, Hyderabad, 500007, Telangana, India.
Agiesh Kumar Balakrishna PillaiMGM Advanced Research Institute, Sri Balaji Vidyapeeth (Deemed to be University), Puducherry, 607402, India.
Srinivasa Rao MutheneniApplied Biology Division, CSIR-Indian Institute of Chemical Technology, Tarnaka, Hyderabad, 500007, Telangana, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Dengue is a major arthropod-borne viral disease spreading rapidly across the globe. The absence of vaccines and inadequate vector control measures leads to further expansion of dengue in many regions globally. Hence, the identification of genes involved in the pathogenesis of dengue will help to understand the molecular basis of the disease and the genes responsible for the disease progression. Methods: In the present study, a meta-analysis was carried out using dengue gene expression data obtained from Gene Expression Omnibus repository. The differentially expressed genes such as CCNB1 and CCNB2 (G2/mitotic-specific cyclin-B2 and B1) were upregulated in dengue fever to control (DF-CO) and severe dengue (dengue hemorrhagic fever [DHF]) to control (DHF-CO) were identified as key genes for controlling the major pathways (cell cycle, oocyte meiosis, p53 signaling pathway, cellular senescence and progesterone-mediated oocyte maturation). Similarly, interferon alpha-inducible (IFI27) genes, type-I and type-III interferon (IFN) signaling genes (STAT1 and STAT2), B cell activation and survival genes (TNFSF13B, TNFRSF17) and toll like receptor (TLR7) genes were differentially up activated during DF-CO and DHF-CO. Followed by, Cytoscape was used to identify the immune system process and topological analysis. Results: The results showed that the top differentially expressed genes under the statistical significance Conclusions: The current study could aid in understanding of molecular pathogenesis, genes and corresponding pathway upon dengue infection, and could facilitate for identification of novel drug targets and prognostic markers.

Indexed as

Data analysisDengue feverGene expressionGene signaturesMicroarraySevere dengue

Identifiers

PMID38076406
PMCPMC10699721

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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.