ArticlePloS one2015
Bioinformatics Analysis of the Effects of Tobacco Smoke on Gene Expression.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 16 papers.
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.
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.
Who cites it
16 citing papers in PubMed, 32 citations in OpenAlex.
- From COPD and asthma to lung cancer: potential candidate genes and their associated biological pathways for the incidence risk of lung cancer.Journal, genetic engineering & biotechnology · 2026Article
- Impact of smoking habit on the subgingival proteome in patients with periodontitis.Journal of periodontology · 2025Article
- Integrative analysis of genetics, epigenetics and RNA expression data reveal three susceptibility loci for smoking behavior in Chinese Han population.Molecular psychiatry · 2024Article
- Gene expression variability in long-term survivors of childhood cancer and cancer-free controls in response to ionizing irradiation.Molecular medicine (Cambridge, Mass.) · 2023Article
- A novel human tau knock-in mouse model reveals interaction of Abeta and human tau under progressing cerebral amyloidosis in 5xFAD mice.Alzheimer's research & therapy · 2023Article
- Construction and Analysis of lncRNA-Associated ceRNA Network in Atherosclerotic Plaque Formation.BioMed research international · 2022Article
- Identifying key genes and drug screening for preeclampsia based on gene expression profiles.Oncology letters · 2020Article
- Dynamic changes in lung responses after single and repeated exposures to cigarette smoke in mice.PloS one · 2019Article
- Proteomic Study of a Parkinson's Disease Model of Undifferentiated SH-SY5Y Cells Induced by a Proteasome Inhibitor.International journal of medical sciences · 2019Article
- Effects of green tea on miRNA and microbiome of oral epithelium.Scientific reports · 2018Article
- Genomic and Bioinformatics Approaches for Analysis of Genes Associated With Cancer Risks Following Exposure to Tobacco Smoking.Frontiers in public health · 2018Review
- Integrated Metabolomics and Network Pharmacology Approach to Explain Possible Action Mechanisms of Xin-Sheng-Hua Granule for Treating Anemia.Frontiers in pharmacology · 2018Article
- Comparative Network Analysis of Patients with Non-Small Cell Lung Cancer and Smokers for Representing Potential Therapeutic Targets.Scientific reports · 2017Article
- NiaoDuQing granules relieve chronic kidney disease symptoms by decreasing renal fibrosis and anemia.Oncotarget · 2017Article
- snoRNA and piRNA expression levels modified by tobacco use in women with lung adenocarcinoma.PloS one · 2017Article
- Correction: Bioinformatics Analysis of the Effects of Tobacco Smoke on Gene Expression.PloS one · 2016Article
Corrections and comments
- Erratum issued
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study was designed to explore the effects of tobacco smoke on gene expression through bioinformatics analyses. Gene expression profile GSE17913 was downloaded from the Gene Expression Omnibus database. The differentially expressed genes (DEGs) in buccal mucosa tissues between 39 active smokers and 40 never smokers were identified. Gene Ontology Specifically, the DEG distribution in the pathway of Metabolism of xenobiotics by cytochrome P450 was shown in Fig 2[corrected] were performed, followed by protein-protein interaction (PPI) network, transcriptional regulatory network as well as miRNA-target regulatory network construction. In total, 88 up-regulated DEGs and 106 down-regulated DEGs were identified. Among these DEGs, cytochrome P450, family 1, subfamily A, polypeptide 1 (CYP1A1) and CYP1B1 were enriched in the Metabolism of xenobiotics by cytochrome P450 pathway. In the PPI network, tyrosine 3-monooxygenase/tryptophan 5-monooxygenase activation protein, zeta (YWHAZ), and CYP1A1 were hub genes. In the transcriptional regulatory network, transcription factors of MYC associated factor X (MAX) and upstream transcription factor 1 (USF1) regulated many overlapped DEGs. In addition, protein tyrosine phosphatase, receptor type, D (PTPRD) was regulated by multiple miRNAs in the miRNA-DEG regulatory network. CYP1A1, CYP1B1, YWHAZ and PTPRD, and TF of MAX and USF1 may have the potential to be used as biomarkers and therapeutic targets in tobacco smoke-related pathological changes.
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What OpenQuestion holds
Registered trials
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.