Evidence map›Paper›PMID 32426333›Full record

ArticleFrontiers in bioengineering and biotechnology2020

Dysregulation of Signaling Pathways Due to Differentially Expressed Genes From the B-Cell Transcriptomes of Systemic Lupus Erythematosus Patients - A Bioinformatics Approach.

S Udhaya Kumar, D Thirumal Kumar, R Siva, C George Priya Doss, Salma Younes, Nadin Younes, Mariem Sidenna, Hatem Zayed

Open access · goldAbstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
9.5field-weighted citation impact, top 1% 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

35 citing papers in PubMed, 68 citations in OpenAlex.

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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

8 authors at 2 institutions in 2 countries.

S Udhaya KumarSchool of Biosciences and Technology, Vellore Institute of Technology, Vellore, India.
D Thirumal KumarSchool of Biosciences and Technology, Vellore Institute of Technology, Vellore, India.
R SivaSchool of Biosciences and Technology, Vellore Institute of Technology, Vellore, India.
C George Priya DossSchool of Biosciences and Technology, Vellore Institute of Technology, Vellore, India.
Salma YounesDepartment of Biomedical Sciences, College of Health and Sciences, QU Health, Qatar University, Doha, Qatar.
Nadin YounesDepartment of Biomedical Sciences, College of Health and Sciences, QU Health, Qatar University, Doha, Qatar.
Mariem SidennaDepartment of Biomedical Sciences, College of Health and Sciences, QU Health, Qatar University, Doha, Qatar.
Hatem ZayedDepartment of Biomedical Sciences, College of Health and Sciences, QU Health, Qatar University, Doha, Qatar.
Qatar University · QAVellore Institute of Technology University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Systemic lupus erythematosus (SLE) is an autoimmune inflammatory disorder that is clinically complex and has increased production of autoantibodies. Via emerging technologies, researchers have identified genetic variants, expression profiling of genes, animal models, and epigenetic findings that have paved the way for a better understanding of the molecular and genetic mechanisms of SLE. Our current study aimed to illustrate the essential genes and molecular pathways that are potentially involved in the pathogenesis of SLE. This study incorporates the gene expression profiling data of the microarray dataset GSE30153 from the Gene Expression Omnibus (GEO) database, and differentially expressed genes (DEGs) between the B-cell transcriptomes of SLE patients and healthy controls were screened using the GEO2R web tool. The identified DEGs were subjected to STRING analysis and Cytoscape to explore the protein-protein interaction (PPI) networks between them. The MCODE (Molecular Complex Detection) plugin of Cytoscape was used to screen the cluster subnetworks that are highly interlinked between the DEGs. Subsequently, the clustered DEGs were subjected to functional annotation with ClueGO/CluePedia to identify the significant pathways that were enriched. For integrative analysis, we used GeneGo Metacore

Indexed as

biomarkersexpression profiling datafunctional enrichment analysisMetacoremicroarray and bioinformaticsprotein–protein interactionssystemic lupus erythematosus

Identifiers

PMID32426333
PMCPMC7203449
OpenAlexW3022714562

What OpenQuestion holds

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LicenceCC BY
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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.