Abstract
The development of Functional Genomics technologies has opened new avenues to investigate the complexity of the immune system. Microarray technology has been particularly successful because of its relatively low cost and high genome coverage. Consequently to our ability to monitor the expression of a significant proportion of an organism genome, our understanding of the molecular dynamics behind cell differentiation and cell response has greatly improved. Molecular signatures associated to immune cells have provided important tools to investigate the molecular basis of diseases and have been often associated to diagnostic and prognostic markers. The availability of such large collection of data has stimulated the application of complex machine learning techniques in the attempt to link molecular signatures and cell physiology. Here we review the most recent developments in the analysis of molecular signatures in the immune system.
Keywords: microarray, gene expression profiling, immune system, lymphocytes, bioinformatics
Combinatorial Chemistry & High Throughput Screening
Title: Making Sense of Molecular Signatures in The Immune System
Volume: 7 Issue: 3
Author(s): Nicholas J. Davies, Mahlet G. T. Tadesse, Marina Vannucci, Hugh Kikuchi, Victor Trevino, Donatella Sarti, Ilaria Dragoni, Andrea Contestabile, Edward Zanders and Francesco Falciani
Affiliation:
Keywords: microarray, gene expression profiling, immune system, lymphocytes, bioinformatics
Abstract: The development of Functional Genomics technologies has opened new avenues to investigate the complexity of the immune system. Microarray technology has been particularly successful because of its relatively low cost and high genome coverage. Consequently to our ability to monitor the expression of a significant proportion of an organism genome, our understanding of the molecular dynamics behind cell differentiation and cell response has greatly improved. Molecular signatures associated to immune cells have provided important tools to investigate the molecular basis of diseases and have been often associated to diagnostic and prognostic markers. The availability of such large collection of data has stimulated the application of complex machine learning techniques in the attempt to link molecular signatures and cell physiology. Here we review the most recent developments in the analysis of molecular signatures in the immune system.
Export Options
About this article
Cite this article as:
Davies J. Nicholas, Tadesse T. Mahlet G., Vannucci Marina, Kikuchi Hugh, Trevino Victor, Sarti Donatella, Dragoni Ilaria, Contestabile Andrea, Zanders Edward and Falciani Francesco, Making Sense of Molecular Signatures in The Immune System, Combinatorial Chemistry & High Throughput Screening 2004; 7 (3) . https://dx.doi.org/10.2174/1386207043328805
DOI https://dx.doi.org/10.2174/1386207043328805 |
Print ISSN 1386-2073 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-5402 |
Call for Papers in Thematic Issues
Artificial Intelligence Methods for Biomedical, Biochemical and Bioinformatics Problems
Recently, a large number of technologies based on artificial intelligence have been developed and applied to solve a diverse range of problems in the areas of biomedical, biochemical and bioinformatics problems. By utilizing powerful computing resources and massive amounts of data, methods based on artificial intelligence can significantly improve the ...read more
Eco-friendly Agents for Biological Control of Pathogenic Diseases
The discovery of an alternative biological approach to disease management includes work on medicinal products derived from natural sources as a starting point for the development of eco-friendly agents for these diseases and the injuries they cause, as well as reducing human contact with hazardous chemicals and their residues. We ...read more
Emerging trends in diseases mechanisms, noble drug targets and therapeutic strategies: focus on immunological and inflammatory disorders
Recently infectious and inflammatory diseases have been a key concern worldwide due to tremendous morbidity and mortality world Wide. Recent, nCOVID-9 pandemic is a good example for the emerging infectious disease outbreak. The world is facing many emerging and re-emerging diseases out breaks at present however, there is huge lack ...read more
Exploring Spectral Graph Theory in Combinatorial Chemistry
Scope of the Thematic Issue: Combinatorial chemistry involves the synthesis and analysis of a large number of diverse compounds simultaneously. Traditional methods rely on brute force experimentation, which can be time-consuming and resource-intensive. Spectral Graph Theory, a branch of mathematics dealing with the properties of graphs in relation to the ...read more
- Author Guidelines
- 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
Related Articles
-
System Models, Assays and Endpoint Parameters to Evaluate Anticancer Compounds During Preclinical Screening
Current Medicinal Chemistry Insights into the Role of Fc Gamma Receptors (FcγRs) Genetic Variations in Monoclonal Antibody-Based Anti-Cancer Therapy
Recent Patents on Anti-Cancer Drug Discovery The Coordinated Role of CYP450 Enzymes and P-gp in Determining Cancer Resistance to Chemotherapy
Current Drug Metabolism Unveiling the Role of Nuclear Transport in Epithelial-to-Mesenchymal Transition
Current Cancer Drug Targets Natural Medicine:The Genus Angelica
Current Medicinal Chemistry The Blood-Brain Barrier in Multiple Sclerosis: microRNAs as Key Regulators
CNS & Neurological Disorders - Drug Targets “Momordica balsamina: A Medicinal and Neutraceutical Plant for Health care Management”. Comments: Biotechnological Potential of M. balsamina Revealed
Current Pharmaceutical Biotechnology Molecular Targets of Gemcitabine Action: Rationale for Development of Novel Drugs and Drug Combinations
Current Pharmaceutical Design Anthracycline Cardiotoxicity: Prevalence, Pathogenesis and Treatment
Current Cardiology Reviews Epigenetics in Brain Tumors: HDACs Take Center Stage
Current Neuropharmacology Cytokine/Antibody Complexes: An Emerging Class of Immunostimulants
Current Pharmaceutical Design Beyond Stressed Self: Evidence for NKG2D Ligand Expression on Healthy Cells
Current Immunology Reviews (Discontinued) Pharmacogenetics of Thiopurines in Inflammatory Bowel Disease
Current Pharmaceutical Design Lycopene: A Review of Its Potential as an Anticancer Agent
Current Medicinal Chemistry - Anti-Cancer Agents Is There a Clinical Future for Spermatogonial Stem Cells?
Current Stem Cell Research & Therapy Biodegradable Nanoparticles: A Recent Approach and Applications
Current Drug Targets Selective Binding BAFF/APRIL by the In and Outside Conservative Region of BCMA
Protein & Peptide Letters The Impacts of Non-coding RNAs and N<sup>6</sup>-Methyladenosine on Cancer: Past, Present and Future
Current Cancer Drug Targets The Efficacy of Vitamin K, A Member Of Naphthoquinones in the Treatment of Cancer: A Systematic Review and Meta-Analysis
Current Cancer Drug Targets Spongiane Diterpenoids
Current Bioactive Compounds