A5033846330- Bioinformatics and Genomic Networks
- MicroRNA in disease regulation
- Immune Cell Function and Interaction
- RNA modifications and cancer
- Glycosylation and Glycoproteins Research
- Molecular Biology Techniques and Applications
- Respiratory viral infections research
- Gene expression and cancer classification
- Circular RNAs in diseases
- Cancer Genomics and Diagnostics
- RNA Research and Splicing
- Curcumin's Biomedical Applications
- Wnt/β-catenin signaling in development and cancer
- Cell Adhesion Molecules Research
- Viral Infections and Vectors
- Peptidase Inhibition and Analysis
- Artificial Intelligence in Healthcare
- Cancer, Hypoxia, and Metabolism
- Cancer Cells and Metastasis
- Machine Learning in Healthcare
- Cancer-related molecular mechanisms research
- Artificial Intelligence in Healthcare and Education
- COVID-19 Clinical Research Studies
- Chronic Lymphocytic Leukemia Research
- Microtubule and mitosis dynamics
Technical University of Munich
2023-2024
Klinikum rechts der Isar
2024
Tabriz University of Medical Sciences
2017-2023
Tehran University of Medical Sciences
2020
Gene expression profiling is a powerful tool that has been extensively used to investigate the underlying biology and etiology of diseases, including cancer. Microarray gene analysis enables simultaneous measurement thousands mRNA levels. Sophisticated computational approaches have evolved in parallel with rapid progress bioassay technologies, enabling more effective large complex datasets these technologies produce.In this study, we utilized systems examine profiles across different grades...
Abstract Growing evidence demonstrated the presence of an association between IL1A rs3783553 polymorphism and risk various cancers. We aimed to evaluate whether 4‐bp insertion/deletion (rs3783553) within 3′ untranslated region (3′UTRs) was associated prostate cancer (PCa) in a sample Iranian population. A case‐control study, including 150 patients 155 healthy men, done examine possible ins/del PCa southeast Mismatched polymerase chain reaction‐restriction fragment length (PCR‐RFLP) designed...
Abstract The response to respiratory viruses varies substantially between individuals, and there are currently no known molecular predictors from the early stages of infection. Here we conduct a community-based analysis determine whether pre- or post-exposure factors could predict physiologic responses viral exposure. Using peripheral blood gene expression profiles collected healthy subjects prior exposure one four (H1N1, H3N2, Rhinovirus, RSV), as well up 24 h following exposure, find that...
Abstract Objective Applications of machine learning in healthcare are high interest and have the potential to improve patient care. Yet, real-world accuracy these models clinical practice on different subpopulations remains unclear. To address important questions, we hosted a community challenge evaluate methods that predict outcomes. We focused prediction all-cause mortality as question. Materials Using Model-to-Data framework, 345 registered participants, coalescing into 25 independent...
B-cell malignancies, such as chronic lymphocytic leukemia (CLL) and multiple myeloma (MM), remain incurable, with MM particularly prone to relapse. Our study introduces a novel mouse model active RANK signaling the TCL1 oncogene, displaying both CLL phenotypes. In younger mice, expression expands CLL-like B1-lymphocytes, while originates from B2-cells, becoming predominant in later stages leading severe disease progression mortality. The induced mimics human disease, exhibiting features like...
Objective: To date, numerous studies have been conducted to search for reasons chemoresistance and differences in survival rates of patients receiving chemotherapy. We sought identify differentially expressed genes (DEGs) between predicted chemotherapy resistance sensitive phenotypes by a network as well gene enrichment approach. Methods: Functional modules were explored with analysis DEGs neoadjuvant taxane-anthracycline versus cases the GSE25066 dataset, including 508 samples. A linear...
Colorectal cancer (CRC) is one of the most malignant cancers and results in a substantial rate morbidity mortality. Diagnosis this malignancy early stages increases chance effective treatment. High-throughput data analyses reveal omics signatures also provide possibility developing computational models for detection disease. Such would be able to use as complementary tools different types including CRC. In study, using gene expression data, Flux balance analysis (FBA) applied decode...
Hashimoto thyroiditis (HT) is a common autoimmune disorder with strong genetic background. Several factors have been suggested, yet numerous contributors remain to be fully understood in HT pathogenesis. MicroRNAs (miRs) are gene expression regulators critically involved biological processes, of which polymorphisms can alter their function, leading pathologic conditions, including diseases. We examined whether miR-499 rs3746444 polymorphism associated susceptibility an Iranian subpopulation....
Abstract The small G protein signaling modulator 3 (SGSM3) has been shown to be associated with G‐protein‐coupled receptor signaling. There is little data regarding the impact of SGSM3 polymorphisms on cancer risk. In present study, we aimed evaluate 4‐bp insertion/deletion (rs56228771) polymorphism in 3′UTR and susceptibility bladder a sample Iranian population. This case‐control study included 143 pathologically confirmed patients 144 healthy subjects. ins/del variant was determined by...
Abstract Introduction: Epithelial-to-mesenchymal transition (EMT) is widely recognized as the primary mechanism regulating invasion and metastatic dissemination in carcinomas. In contrast, mechanisms triggering single disseminated cancer cells (DCC) to reacquire their epithelial identity at ectopic sites, initiating metastasis formation, remain unclear. Since we had previously noted that HER2 expression levels cellular density impact on migration proliferation, sought determine whether they...
MicroRNAs by their structural complementarity capabilities have canonical roles in gene regulation. In this paper; we investigate expression of EGFR, MAP2K4 and E2F3 genes targeted miR-141, a member miR-200 family. were predicted as the potential targets mir-141 using online miRNA bioinformatics tools. MCF-7 cells transfected with mir-141-precursor inhibitor vectors. Expression miR-141 target was determined qRT-PCR. To see most relevant pathways regulated constructed two separate networks...
The majority of cancer evolution studies involve individual-based approaches that neglect the population dynamics necessary to build a global picture for each type. Here, we conducted population-based study in breast understand timing malignancy and its correlation genetic pathological stages. In an omics integrative approach, integrated gene expression genomic aberration data pre-invasive (ductal carcinoma situ; DCIS, early-stage) post-invasive (invasive ductal carcinoma; IDC, late-stage)...
Abstract Background The majority of cancer evolution studies are done on individual-based approaches that neglect population dynamics necessity for the global picture in each type. Here, we conducted a population-based study breast to understand timing malignancy and its correlation genetic pathological stages. Results In an omics integrative approach, integrated gene expression genomic aberration data pre-invasive (DCIS, early-stage) post-invasive (IDC, late-stage) samples investigated...
Abstract Phenotypic plasticity in HER2+ breast cancer presents a significant challenge comprehending and treating early-stage metastasis. We conducted an extensive study employing vitro models patient samples to investigate the relationships among cell density, HER2 expression, cellular localization, their impact on program of cells. Our research reveals previously unexplored facet biology. In conditions low endoplasmic reticulum (ER) undergoes remarkable transformation, shifting its...
Breast cancer (BC) is a complex disease caused by molecular events that disrupt cellular survival and death. Discovering novel biomarkers still required to better understand treat BC. The reticulon-4 (RTN4) gene, encoding Nogo proteins, plays critical role in apoptosis development, with genetic variations affecting its function. We investigated the rs34917480 RTN4 association BC risk an Iranian population sample. also predicted effect on mRNA structure explored RTN4's protein-protein...