0% Complete
the 4th international edition and 13th Iranian Conference on Bioinformatics
international edition and Iranian Conference on Bioinformatics
صفحه اصلی
/
4th international edition and 13th Iranian Conference on Bioinformatics
Dissecting the impact of smoking on epigenetic mechanisms that influencing Lung cancer susceptibility
نویسندگان :
Mahboobeh Golchinpour
1
Alireza Fotuhi Siahpirani
2
1- Laboratory of Bioinformatics and Computational Genomics (LBCG), Department of Bioinformatics, Institute of Biochemistry and Biophysics (IBB), University of Tehran, Tehran, Iran
2- Laboratory of Bioinformatics and Computational Genomics (LBCG), Department of Bioinformatics, Institute of Biochemistry and Biophysics (IBB), University of Tehran, Tehran, Iran
کلمات کلیدی :
Gene Regulation،lung cancer susceptibility،differentially accessible regions
چکیده :
Epigenetic mechanisms play a crucial role in mediating the effects of environmental factors on cell fate and disease. One such environmental factor is smoking which is a major risk factor in lung cancer. To assess how smoking affect lung cancer susceptibility, we used a publicly available dataset (GSE241468), which examines the epigenetic landscapes and gene regulation in human lung cells by using multiome (transcriptome and chromatin accessibility) maps from 117,911 lung cells derived from 4 males and 4 females in each group of smokers and never-smokers (Long et al. 2024). Here, we reanalyzed this dataset, to identify differentially accessible regions (DARs) and differentially expressed genes (DEGs) between smokers and never-smokers. Seurat and Signac were used for preprocessing of the dataset. We then used a correlation-based approach for identifying candidate CREs in DARs and showed enrichment of binding motifs of transcription factors that are activated in these regions in response to smoking. By characterizing cell-type-specific CREs, our analysis showed that smoking-responsive genes predominantly exhibit cell-type-specific differential expression which contribute to lung cancer susceptibility. Results suggests that DARs contribute to augmented transcriptional responses under smoking conditions and affect lung cancer susceptibility. By linking these epigenetic alterations directly to smoking and identifying key target genes and cell types, our findings provide a map of the epigenetic landscape shaping lung cancer risk and open avenues for targeted interventions in these epigenetically altered pathways.
لیست مقالات
لیست مقالات بایگانی شده
In Silico Design and Evaluation of a Multi-Epitope Vaccine Candidate Against Escherichia coli and Staphylococcus aureus Involved in Bovine Clinical Mastitis
Aryan Ghorbani - Negin Khalili-samani - Maryam Amirinia - Faezeh Jazayeri-soreshjani - Faranak Ravanan - Mohammad Oveysi-rastabi - Abbas Doosti
A New LDA-based Genetic Algorithm for Feature Selection and Classification in Gene Expression Data Analysis
Parisa Pouyamanesh - Mahdi Vasighi
Reduced PINK1 Expression in Bladder Cancer: Insights into Autophagy Dysregulation and Therapeutic Potential
Shayan Jahangirzadeh - Mehdi Asghari Vostakolaei - Asadollah Asadi - Masoumeh Valipour
ATIC as a Theranostic Biomarker in Gastrointestinal Cancers: Insights from Autophagy Pathway Analysis
Pooya Jalali - Maryam Eghbali - Zahra Eghabli - Yasaman Gholinezhad - Zahra Salehi
Identification of Therapeutic Biomarkers in Patients with Rheumatoid Arthritis Treated with Methotrexate
Narges Yaghoobi - Tannaz Araei - Sara Abedi - Mohsen Goharinia - Mohammad Mehdi Naghizadeh
An efficient method based on transformers for antimicrobial peptide prediction
Alireza Khorramfard - Jamshid Pirgazi - Ali Ghanbari Sorkhi
Structural and Hydrogen Bonding Characteristics of Natural Deep Eutectic Solvent Choline Chloride/Citric Acid: A Molecular Dynamics Simulation Study
Faezeh Saadatnia - Delara Mohammadaghaie - Fatemeh Mohammadpour - Samane Boromand
In silico analysis of Maize WRKY transcription factors in response to drought and salt stress
Majid NorouzI - Sahar Shahgoli - Bahram Baghban Kohnehrouz
AI-Driven Discovery of Novel AChE Inhibitors for Alzheimer's Disease Treatment: Model Development, Molecular Docking, and MD Simulation
Ahmad Ebadi - Fatemeh Noori
Tailoring Stability of Keratinocyte Growth Factor Variants for Effective Wound Healing in Acidic Conditions
Mansoureh Shahbazi Dastjerdeh - Mohammadtaghi Borjian Boroujeni
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 44.5.0