Evidence map›Paper›PMID 28440408›Full record

ArticleMolecular medicine reports2017

Identification of potential gene targets in systemic vasculitis using DNA microarray analysis.

Yiwen Feng, Miao Zheng, Shujie Gan, Lei Zhang, Zhong Wan, Yanping Zhang, Qin Qian, Jingdong Tang

Open access · hybridAbstract read
In one paragraph

Article in Molecular medicine reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.1field-weighted citation impact, top 51% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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 3 institutions in 1 country.

Yiwen FengVascular Surgery Department, Shanghai General Hospital of Nanjing Medical University, Shanghai 200080, P.R. China.
Miao ZhengVascular Surgery Department, Shanghai General Hospital of Nanjing Medical University, Shanghai 200080, P.R. China.
Shujie GanVascular Surgery Department, Shanghai General Hospital of Nanjing Medical University, Shanghai 200080, P.R. China.
Lei ZhangVascular Surgery Department, Shanghai General Hospital of Nanjing Medical University, Shanghai 200080, P.R. China.
Zhong WanVascular Surgery Department, Shanghai General Hospital of Nanjing Medical University, Shanghai 200080, P.R. China.
Yanping ZhangVascular Surgery Department, Shanghai General Hospital of Nanjing Medical University, Shanghai 200080, P.R. China.
Qin QianVascular Surgery Department, Shanghai General Hospital of Nanjing Medical University, Shanghai 200080, P.R. China.
Jingdong TangVascular Surgery Department, Shanghai General Hospital of Nanjing Medical University, Shanghai 200080, P.R. China.
Nanjing Medical University · CNShanghai Medical College of Fudan University · CNShanghai First People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study aimed to identify the involvement of critical genes in systemic vasculitis, to gain an improved understanding of the molecular circuity and to investigate novel potential gene targets for systemic vasculitis treatment. The dual‑color cDNA microarray data of GSE16945, consisting of peripheral mononuclear blood cell specimens from 13 patients with systemic vasculitis and 16 healthy controls, was downloaded from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) were screened in systemic vasculitis compared with controls using BRB ArrayTools, followed by the construction of a protein‑protein interaction (PPI) network using the clusterProfiler package, and significant functional interaction (FI) module selection. Furthermore, transcriptional factors (TFs) among the identified DEGs were predicted and a transcriptional regulation network was constructed. A total of 173 up- and 93 downregulated genes were identified, which were mainly associated with immune response pathways. FBJ murine osteosarcoma viral oncogene homolog (FOS), ubiquitin B (UBB), signal transducer and activator of transcription 1 (STAT1) and MX dynamin‑like GTPase 1 (MX1) were identified as hub proteins in the PPI network. Furthermore, UBB, FOS, and STAT1 were hub proteins in the three identified FI modules, respectively. In total, nine TFs were predicted among the DEGs. Of the DEGs that were predicted to be TFs, STAT1, v‑maf avian musculoaponeurotic fibrosarcoma oncogene homolog B (MAFB) and tyrosine 3‑monooxygenase/tryptophan 5‑monooxygenase activation protein Z (YWHAZ), which interacted with each other, were identified to regulate further DEGs as target genes. Various genes, including FOS, UBB, MX1, STAT1, MAFB, and YWHAZ may be potential targets useful for the treatment of systemic vasculitis.

Indexed as

Genetic Predisposition to DiseaseComputational BiologyDatabases, GeneticGene Expression ProfilingGene Expression RegulationGene OntologyGene Regulatory NetworksHumansOligonucleotide Array Sequence AnalysisProtein Interaction MapsSystemic Vasculitis

Identifiers

PMID28440408
PMCPMC5436278
OpenAlexW2606081447

What OpenQuestion holds

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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.