0% Complete
صفحه اصلی
/
4th international edition and 13th Iranian Conference on Bioinformatics
Comprehensive integrated single-cell RNA sequencing analysis of brain metastasis and glioma microenvironment: Contrasting heterogeneity landscapes
نویسندگان :
Seyedeh Fatemeh Sajjadi
1
Najmeh Salehi
2
Mehdi Sadeghi
3
1- 1. School of Biological Science, Institute for Research in Fundamental Sciences (IPM), Tehran, Iran
2- University of Tehran
3- 2National Institute of Genetic Engineering and Biotechnology (NIGEB), Tehran, Iran
کلمات کلیدی :
brain metastasis،tumor microenvironment،single-cell RNA sequencing
چکیده :
Understanding the specific type of brain malignancy, source of brain metastasis, and underlying transformation mechanisms can help provide better treatment and less harm to patients. The tumor microenvironment plays a fundamental role in cancer progression and affects both primary and metastatic cancers. The use of single-cell RNA sequencing to gain insights into the heterogeneity profiles in the microenvironment of brain malignancies is useful for guiding treatment decisions. To comprehensively investigate the heterogeneity in gliomas and brain metastasis originating from different sources (lung and breast), we integrated data from three groups of single-cell RNA-sequencing datasets obtained from GEO. We gathered and processed single-cell RNA sequencing data from 90,168 cells obtained from 17 patients. We then employed the R package Seurat for dataset integration. Next, we clustered the data within the UMAP space and acquired differentially expressed genes for cell categorization. Our results underscore the significance of macrophages as abundant and pivotal constituents of gliomas. In contrast, lung-to-brain metastases exhibit elevated numbers of AT2, cytotoxic CD4+ T, and exhausted CD8+ T cells. Conversely, breast-to-brain metastases are characterized by an abundance of epithelial and myCAF cells. Our study not only illuminates the variation in the TME between brain metastasis with different origins but also opens the door to utilizing established markers for these cell types to differentiate primary brain metastatic cancers.
لیست مقالات
لیست مقالات بایگانی شده
Distribution and Allelic Diversity of Outer Membrane Proteins in Helicobacter pylori: Implications for Vaccine Development and Therapeutic Approach
Mohammadreza Najafi Disfani - Mahyar Abdi - Sarvin Rezvani Bafroyeh - SeyedehRomina Lavasani - Parastoo Saniee
Physical parametric study of bacterial biofilm disruption and removal by jet impingement: A CFD investigation
Fatemeh Ebrahimi Tarki - Mahboobeh Zarrabi - Mahkame Sharbatdar - Ahya Abdi Ali
Predicting drug response using omics data and artificial intelligence approach in cancer
Abdolhamid Nazerpanahi - Mohammad Ali Hossein Beigy - Amirhossein Keyhanipour - Kaveh Kavousi - Siavash Kavousi
Integrating Biological Networks and Deep Learning for Microbe-Disease Prediction
Sobhan Ahmadian Moghadam - Zahra Ghorbanali - Fatemeh Zare-Mirakabad - Hesam Montazeri
Development of a Multi-Epitope Vaccine Candidate for Brucella: An Immunoinformatics Approach to Achieve Cross-Protection
Zohre Sadeghi - Zahra Davoudi
Tissue-Specific Gene Co-Expression Analysis in Pediatric Ependymomas Across Different Anatomical Regions
Zahra Eghbali - Mohammad Reza Zabihi - Pedram Jahangiri - Zahra Salehi
Single-Cell Transcriptomic Analysis Reveals Cellular Heterogeneity and Molecular Markers in Acute Leukemia Subtypes
Fatemeh Mohagheghian - Zahra Salehi - Najmeh Salehi
Combination therapy synergism prediction for virus treatment using machine learning models
Shayan Majidifar - Arash Zabihian - Mohsen Hooshmand
Herbal Drug Candidate as DNA Gyrase Inhibitor in M. Tuberculosis (Causative Agent of Tuberculosis)
Ali Abolhasanzadeh Parizi
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
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 42.7.0