Abstract
MicroRNAs are small non-coding RNAs that regulate gene expression at the transcriptional or posttranscriptional level. They are involved in cellular development, differentiation, proliferation and apoptosis and play a significant role in cancer. Examination of tumor-specific microRNA expression profiles has revealed widespread deregulation of these molecules in diverse cancers. Several studies have shown that microRNAs function either as tumor suppressor genes or oncogenes, whose loss or overexpression respectively has diagnostic and prognostic significance. It seems that microRNAs act as major regulators of gene expression. In this review, we discuss microRNAs role in cancer and how microRNAs exert their functions through regulation of their gene targets. Bioinformatic analysis of putative miRNA binding sites has indicated several novel potential gene targets involved in apoptosis, angiogenesis and metastatic mechanisms. Matching computational prediction analysis together with microarray data seems the best method for microRNA gene target identification. MicroRNAs together with transcription factors generate a complex combinatorial code regulating gene expression. Thus, manipulation of microRNA-transcription factor gene networks may be provides a novel approach for developing cancer therapies.
Keywords: microRNAs, gene regulation, gene networks, carcinogenesis
Current Genomics
Title: MicroRNA Gene Networks in Oncogenesis
Volume: 10 Issue: 1
Author(s): Alexandra Drakaki and Dimitrios Iliopoulos
Affiliation:
Keywords: microRNAs, gene regulation, gene networks, carcinogenesis
Abstract: MicroRNAs are small non-coding RNAs that regulate gene expression at the transcriptional or posttranscriptional level. They are involved in cellular development, differentiation, proliferation and apoptosis and play a significant role in cancer. Examination of tumor-specific microRNA expression profiles has revealed widespread deregulation of these molecules in diverse cancers. Several studies have shown that microRNAs function either as tumor suppressor genes or oncogenes, whose loss or overexpression respectively has diagnostic and prognostic significance. It seems that microRNAs act as major regulators of gene expression. In this review, we discuss microRNAs role in cancer and how microRNAs exert their functions through regulation of their gene targets. Bioinformatic analysis of putative miRNA binding sites has indicated several novel potential gene targets involved in apoptosis, angiogenesis and metastatic mechanisms. Matching computational prediction analysis together with microarray data seems the best method for microRNA gene target identification. MicroRNAs together with transcription factors generate a complex combinatorial code regulating gene expression. Thus, manipulation of microRNA-transcription factor gene networks may be provides a novel approach for developing cancer therapies.
Export Options
About this article
Cite this article as:
Drakaki Alexandra and Iliopoulos Dimitrios, MicroRNA Gene Networks in Oncogenesis, Current Genomics 2009; 10 (1) . https://dx.doi.org/10.2174/138920209787581299
DOI https://dx.doi.org/10.2174/138920209787581299 |
Print ISSN 1389-2029 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-5488 |
Call for Papers in Thematic Issues
Advanced AI Techniques in Big Genomic Data Analysis
The thematic issue on "Advanced AI Techniques in Big Genomic Data Analysis" aims to explore the cutting-edge methodologies and applications of artificial intelligence (AI) in the realm of genomic research, where vast amounts of data pose both challenges and opportunities. This issue will cover a broad spectrum of AI-driven strategies, ...read more
Genomic Insights into Oncology: Harnessing Machine Learning for Breakthroughs in Cancer Genomics.
This special issue aims to explore the cutting-edge intersection of genomics and oncology, with a strong emphasis on original data and experimental validation. While maintaining the focus on how machine learning and advanced data analysis techniques are revolutionizing our understanding and treatment of cancer, this issue will prioritize contributions that ...read more
Integrating Artificial Intelligence and Omics Approaches in Complex Diseases
Recent advancements in AI and omics methodologies have revolutionized the landscape of biomedical research, enabling us to extract valuable information from vast amounts of complex data. By combining AI algorithms with omics technologies such as genomics, proteomics, metabolomics, and transcriptomics, researchers can obtain a more comprehensive and multi-dimensional analysis of ...read more
Integrating Machine Learning with Genome Science: Pioneering Developments and Future Directions
Integrating machine learning (ML) with genome science is driving transformative advancements in fields such as genomics, personalized medicine, and drug discovery. Genomic data is vast and complex, making traditional analysis methods inadequate for uncovering deep insights. Machine learning, particularly deep learning models like convolutional neural networks (CNNs) and recurrent neural ...read more
Related Journals

- Author Guidelines
- Bentham Author Support Services (BASS)
- Graphical Abstracts
- Fabricating and Stating False Information
- Research Misconduct
- Post Publication Discussions and Corrections
- Publishing Ethics and Rectitude
- Increase Visibility of Your Article
- Archiving Policies
- Peer Review Workflow
- Order Your Article Before Print
- Promote Your Article
- Manuscript Transfer Facility
- Editorial Policies
- Allegations from Whistleblowers
- Announcements
Related Articles
-
Respiratory Tract Manifestations of Rheumatic Diseases in Children
Current Respiratory Medicine Reviews Development of Standardized <i>Cyanthillium cinereum</i> (L.) H.Rob. Extract and Determination of its Biological Activities
The Natural Products Journal High-Resolution CT Imaging Findings of Collagen Vascular Disease- Associated Interstitial Lung Disease
Current Respiratory Medicine Reviews Soy Isoflavones and Cardiovascular Health: An Update
Current Nutrition & Food Science Drug Eluting Stents and Beyond
Current Pharmaceutical Design Editorial (Thematic Issue: Renal and Urological Diseases of the Newborn)
Current Pediatric Reviews Hypoglycemia and Cardiac Arrhythmia; Mechanisms, Evidence Base a nd Current Recommendations
Current Diabetes Reviews Brain Excitatory/Inhibitory Circuits Cross-Talking with Chromogranin A During Hypertensive and Hibernating States
Current Medicinal Chemistry The Discovery and Development of Selective Estrogen Receptor Modulators (SERMs) for Clinical Practice
Current Clinical Pharmacology Nociceptin/Orphanin FQ Peptide Receptor as a Therapeutic Target for Obesity
Mini-Reviews in Medicinal Chemistry Managing the Liabilities Arising from Structural Alerts: A Safe Philosophy for Medicinal Chemists
Current Medicinal Chemistry Studies on Growth Kinetics of Serratia marcescens VITSD2 and Optimization of Fermentation Conditions for Serratiopeptidase Production
Anti-Inflammatory & Anti-Allergy Agents in Medicinal Chemistry Diabetic Cardiovascular Disease – AMP-Activated Protein Kinase (AMPK) as a Therapeutic Target
Cardiovascular & Hematological Agents in Medicinal Chemistry NAD+, Sirtuins, and Cardiovascular Disease
Current Pharmaceutical Design Targeting Stenosis with Nucleotide-Hydrolyzing Enzymes
Current Pharmaceutical Biotechnology What is Tobacco Smoke? Sociocultural Dimensions of the Association with Cardiovascular Risk
Current Pharmaceutical Design Pharmacogenomic Considerations in the Treatment of the Pediatric Cardiomyopathy Called Barth Syndrome
Recent Patents on Biotechnology Adenosine A<sub>2A</sub> Receptor Antagonists as Positron Emission Tomography (PET) Tracers
Current Medicinal Chemistry Repetitive Transient Phosphodiesterase-3 Inhibition Eliminates Non-ischemic Cardiac Remodeling and Failure
Immunology, Endocrine & Metabolic Agents in Medicinal Chemistry (Discontinued) Pitavastatin Combined with Ezetimibe Treatment was an Effective Approach to Non-IRA Lesion of ST-segment Elevation Myocardial Infarction Patients with Primary Percutaneous Coronary Intervention
Current Pharmaceutical Biotechnology