Evidence map›Paper›PMID 29257335›Full record

ArticleMolecular medicine reports2018

Bioinformatics analysis of differentially expressed gene profiles associated with systemic lupus erythematosus.

Chengjiang Wu, Yangjing Zhao, Yu Lin, Xinxin Yang, Meina Yan, Yujiao Min, Zihui Pan, Sheng Xia, Qixiang Shao

Open access · hybridAbstract read
In one paragraph

Article in Molecular medicine reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

7 citing papers in PubMed, 16 citations in OpenAlex.

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  6. IFN-BioMed research international · 2020
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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

9 authors at 2 institutions in 2 countries.

Chengjiang WuDepartment of Immunology, Key Laboratory for Laboratory Medicine of Jiangsu Province, Jiangsu University Medical School, Zhenjiang, Jiangsu 212013, P.R. China.
Yangjing ZhaoDepartment of Immunology, Key Laboratory for Laboratory Medicine of Jiangsu Province, Jiangsu University Medical School, Zhenjiang, Jiangsu 212013, P.R. China.
Yu LinCenter for Computational Science, University of Miami, Coral Gables, FL 33146, USA.
Xinxin YangDepartment of Immunology, Key Laboratory for Laboratory Medicine of Jiangsu Province, Jiangsu University Medical School, Zhenjiang, Jiangsu 212013, P.R. China.
Meina YanDepartment of Immunology, Key Laboratory for Laboratory Medicine of Jiangsu Province, Jiangsu University Medical School, Zhenjiang, Jiangsu 212013, P.R. China.
Yujiao MinDepartment of Immunology, Key Laboratory for Laboratory Medicine of Jiangsu Province, Jiangsu University Medical School, Zhenjiang, Jiangsu 212013, P.R. China.
Zihui PanDepartment of Immunology, Key Laboratory for Laboratory Medicine of Jiangsu Province, Jiangsu University Medical School, Zhenjiang, Jiangsu 212013, P.R. China.
Sheng XiaDepartment of Immunology, Key Laboratory for Laboratory Medicine of Jiangsu Province, Jiangsu University Medical School, Zhenjiang, Jiangsu 212013, P.R. China.
Qixiang ShaoDepartment of Immunology, Key Laboratory for Laboratory Medicine of Jiangsu Province, Jiangsu University Medical School, Zhenjiang, Jiangsu 212013, P.R. China.
Jiangsu University · CNUniversity of Miami · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DNA microarray and high-throughput sequencing have been widely used to identify the differentially expressed genes (DEGs) in systemic lupus erythematosus (SLE). However, the big data from gene microarrays are also challenging to work with in terms of analysis and processing. The presents study combined data from the microarray expression profile (GSE65391) and bioinformatics analysis to identify the key genes and cellular pathways in SLE. Gene ontology (GO) and cellular pathway enrichment analyses of DEGs were performed to investigate significantly enriched pathways. A protein‑protein interaction network was constructed to determine the key genes in the occurrence and development of SLE. A total of 310 DEGs were identified in SLE, including 193 upregulated genes and 117 downregulated genes. GO analysis revealed that the most significant biological process of DEGs was immune system process. Kyoto Encyclopedia of Genes and Genome pathway analysis showed that these DEGs were enriched in signaling pathways associated with the immune system, including the RIG‑I‑like receptor signaling pathway, intestinal immune network for IgA production, antigen processing and presentation and the toll‑like receptor signaling pathway. The current study screened the top 10 genes with higher degrees as hub genes, which included 2'‑5'‑oligoadenylate synthetase 1, MX dynamin like GTPase 2, interferon induced protein with tetratricopeptide repeats 1, interferon regulatory factor 7, interferon induced with helicase C domain 1, signal transducer and activator of transcription 1, ISG15 ubiquitin‑like modifier, DExD/H‑box helicase 58, interferon induced protein with tetratricopeptide repeats 3 and 2'‑5'‑oligoadenylate synthetase 2. Module analysis revealed that these hub genes were also involved in the RIG‑I‑like receptor signaling, cytosolic DNA‑sensing, toll‑like receptor signaling and ribosome biogenesis pathways. In addition, these hub genes, from different probe sets, exhibited significant co‑expressed tendency in multi‑experiment microarray datasets (P<0.01). In conclusion, these key genes and cellular pathways may improve the current understanding of the underlying mechanism of development of SLE. These key genes may be potential biomarkers of diagnosis, therapy and prognosis for SLE.

Indexed as

TranscriptomeComputational BiologyGene Expression RegulationGene Regulatory NetworksHumansLupus Erythematosus, SystemicOligonucleotide Array Sequence AnalysisProtein Interaction MapsUser-Computer Interfacedifferentially expressed genesgene ontologypathway enrichment analysisprotein-protein interaction networkSLE

Identifiers

PMID29257335
PMCPMC5802164
OpenAlexW2777961560

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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.