Abstract
An estimated 9 to 22 % of the pediatric age group are affected by the extremely broad range of childhood neurological disorders, which includes autism and other pervasive developmental disorders (PDD). As with most all of the neurodevelopmental disorders, the PDD spectrum disorders demonstrate a tremendous degree of clinical, biochemical, and genetic heterogeneity. In the great majority of cases, the underlying molecular defects are not known and both diagnosis and appropriate treatment remain challenging. Gene expression profiling using DNA microarrays is a useful tool to characterize cellular samples from patients with childhood neurological disorders. There are two principal goals in the characterization of transcriptional changes in these disorders: 1) Accurate molecular diagnosis of disorders in the absence of clear clinical or biochemical diagnostic markers. Additionally, analysis of transcriptional patterns can be used to generate sub-classifications of individual disorders. 2) Identificat ion of cellular systems that are disrupted in the disorder. Changes in the expression of individual genes as well as functionally related groups of genes can delineate biochemical pathways that are perturbed in a disorder. Both of these goals are ultimately directed at the development of effective therapeutic strategies. This review describes recent advances in these areas, discussing issues relevant to the study of gene expression in pediatric neurodevelopmental disorders.
Keywords: Microarrays, Brain Disorders, pervasive devleopment disorder pdd, hyperactivity disorder adhd, obseeive-compulsive disorder ocd
Call for Papers in Thematic Issues
Advanced Computational Algorithms and Artificial Intelligence in Clinical Pharmacogenomics
In the era of personalized medicine, understanding the relationship between genetics and drug response is crucial. This issue delves into innovative methodologies, leveraging deep computational analysis and artificial intelligence, to enhance the field of Clinical Pharmacogenomics. The interdisciplinary approach harnesses the power of advanced high-throughput genotyping technologies, sophisticated computational analysis, ...read more
Applications of Single-cell Sequencing Technology in Reproductive Medicine
Single cell sequencing (SCS) technology utilizes individual cells' genetic material to sequence their genome, transcriptome, and epigenetics at the molecular level. It offers insights into cell heterogeneity and enables the study of limited biological materials. Since its recognition as a valuable technique in 2011, single cell sequencing has yielded numerous ...read more
Big Data in Cancer Research
Cancer is a significant threat to human life and health, remaining a highly aggressive killer. It is a leading cause of death worldwide and represents a crucial medical issue for humanity. However, in the past decade, the effectiveness of new synthetic anticancer agents has not matched the current clinical speculation. ...read more
Current Genomics in Cardiovascular Research
Cardiovascular diseases are the main cause of death in the world, in recent years we have had important advances in the interaction between cardiovascular disease and genomics. In this Research Topic, we intend for researchers to present their results with a focus on basic, translational and clinical investigations associated with ...read more
Related Journals
Related Books
In Vitro Propagation and Secondary Metabolite Production from Medicinal Plants: Current Trends (Part 2)
Micropropagation of Medicinal Plants
Software and Programming Tools in Pharmaceutical Research
Biotechnology and Drug Development for Targeting Human Diseases
In Vitro Propagation and Secondary Metabolite Production from Medicinal Plants: Current Trends (Part 1)
Molecular and Physiological Insights into Plant Stress Tolerance and Applications in Agriculture- Part 2
Micropropagation of Medicinal Plants
Genome Editing in Bacteria (Part 1)
Data Science for Agricultural Innovation and Productivity
Animal Models In Experimental Medicine
10