0% Complete
صفحه اصلی
/
4th international edition and 13th Iranian Conference on Bioinformatics
Exploring Genetic Variability: A Bioinformatics Approach to Analyzing Reported SNPs in the cagA Gene of Helicobacter pylori
نویسندگان :
Aria Soltani
1
1- Faculty of Life Sciences and Biotechnology, Shahid Beheshti University, Tehran, Iran
کلمات کلیدی :
Helicobacter pylori،SNP،cagA
چکیده :
Introduction: Single nucleotide polymorphisms (SNPs) within the cagA gene of Helicobacter pylori influence the bacterium’s virulence by altering the amino acid sequence and phosphorylation sites of the CagA protein, affecting its interactions with host proteins. These variations are linked to clinical outcomes such as increased gastric cancer risk and severe inflammatory responses. Understanding cagA SNPs aids in unraveling H. pylori pathogenic mechanisms and developing targeted therapies and vaccines, emphasizing the need for personalized treatment approaches. Methods: In this study, SNPs in the cagA gene were identified by comparing the sequences obtained from 30 gastric biopsy samples of patients diagnosed with H. pylori infection to validated SNPs with known positions on the reference gene HP0547. The analysis of these sequences, which were acquired through next-generation sequencing, was conducted using BLAST to detect the SNPs. Results: The analysis revealed a mix of conserved and variable SNP patterns among the sequences. It was found that SNPs such as G2701A and G3100A were consistently present in all samples, while others, such as C1279A and C581T, were uniformly absent. Additionally, it was observed that some SNPs exhibited variable distribution; for instance, G154A was identified in only one sample, whereas A1280G was detected in all but one sequence. Discussion: Variations in SNPs within the cagA gene can result in structural and functional changes in the CagA protein, which is a critical virulence factor of H. pylori. An understanding of these genetic differences is provided, offering valuable insights for the tailoring of antibiotic treatments and the development of vaccines aimed at specific H. pylori strains prevalent in Iran. The need for region-specific studies to enhance
لیست مقالات
لیست مقالات بایگانی شده
Molecular docking study of some herbal compounds as potential inhibitors of SARS-CoV-2 spike receptor
Mohammad Satari - Alireza Karami - Samin Saleh
Multi-Target Drug Discovery for Rheumatoid Arthritis: A Comprehensive Computational Approach Using Bioactive Compounds
Pegah Mansouri - Pardis Mansouri - Sohrab Najafipour - Seyed Amin Kouhpayeh - Akbar Farjadfar - Esmaeil Behmard
Using interpretable deep learning models and multi-objective data for computational discovery of new drugs
Masoud Ahmadlou
Computational study on the inhibitory potential of fungal metabolites against HIV-1 RT
Zohreh Sahhaf Razavi - Ali Ramazani - Armin Zarei
Identification of Antigenic Proteins of Acinetobacter baumannii as Potential Novel Vaccine Candidates Through a Reverse Vaccinology Approach
Amirhossein Ghadiri - Abbas Doosti - Mostafa Shakhsi-Niaei
Fully Convolutional Neural Networks for Volumetric Segmentation of Ultrasound Images: An Effective Tool for Automated Estimation of Fetal Head Circumference
Seyed Vahab Shojaedini - Mohammad Momenian
Dysregulated genes in the fat tissue of children confer a risk of cancer
Armita Kakavand Hamidi - Mahsa Mohammad Amoli
Investigation of Potent Inhibitors to Control Bacillus anthracis by Targeting Its Anthrax Toxin: A Molecular Docking Study
Melika Sadat Samadi - Ghazal Shirdel - Amir Mohammad Akbarian khujin - Elnaz Afshari
Phylogenetic Insights into Enzybiotic with Novel Properties
Arman Hasannejad - Arad Ariaeenejad - Donya Afshar Jahanshahi - Mohammad Reza Zabihi - Shohreh Ariaeenejad - Kaveh Kavousi
Bioinformatics and computational Studies on Highly Conserved Neurocalcin Protein
Ali Eyvazi - Khosrow Khalifeh - Emran Heshmati
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 40.4.1