Comparison of human genome sequences from different individuals has unraveled that genes involved in the drug efficacy and metabolism are polymorphic, harboring mutations, splicing variations and other alterations. These data provide a reasonable explanation for the inter-individual variations observed in drug therapy. Thus, a detailed molecular analysis and an in-depth knowledge of these genes is a prerequisite to practice pharmacogenomics-based medicine. We have introduced a 6-week laboratory research rotation to train students in the expression analysis of different pharmacogenes combined with bioinformatics tools. Students were first introduced to the bioinformatics tools to identify appropriate DNA primers to amplify specific pharmacogenes from the laboratory cancer cell lines. The amplified DNA fragments were sequenced. Finally, students were trained in bioinformatics tools to establish the identity of these DNA sequences. The possible implications of this laboratory training in developing problem-solving skills needed in the implementation of pharmacogenomics knowledge in the clinic, are discussed.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1038/s41397-018-0019-3 | DOI Listing |
BMC Plant Biol
January 2025
Bioinformatics Multidisciplinary Environment, IMD, Universidade Federal Do Rio Grande Do Norte, Natal, Brazil.
Significant changes in the proteome highlight essential metabolic adaptations for development and oxidative signaling induced by the treatment of young sugarcane plants with hydrogen peroxide. These adaptations suggest that hydrogen peroxide acts not only as a stressor but primarily as a signaling molecule, triggering specific metabolic pathways that regulate growth and plant resilience. Sugarcane is a crucial crop for sugar and ethanol production, often influenced by environmental signals.
View Article and Find Full Text PDFBMC Genom Data
January 2025
Department of Management Information Systems, National Chung Hsing University, Taichung, 402, Taiwan.
Background: miRNAs (microRNAs) are endogenous RNAs with lengths of 18 to 24 nucleotides and play critical roles in gene regulation and disease progression. Although traditional wet-lab experiments provide direct evidence for miRNA-disease associations, they are often time-consuming and complicated to analyze by current bioinformatics tools. In recent years, machine learning (ML) and deep learning (DL) techniques are powerful tools to analyze large-scale biological data.
View Article and Find Full Text PDFBMC Genomics
January 2025
College of Basic Medicine, Guilin Medical University, Guilin, 541199, P.R. China.
Background: Gyrodactylus von Nordmann, 1832, a genus of viviparous parasites within the family Gyrodactylidae, contains one of the largest nominal species in the world. Gyrodactylus pseudorasborae Ondračková, Seifertová & Tkachenko, 2023 widely distributed in Europe and China, although its mitochondrial genome remains unclear. This study aims to sequence the mitogenome of G.
View Article and Find Full Text PDFImmunol Res
January 2025
Department of Genetics, Maharshi Dayanand University, Rohtak, Haryana, India.
In tropical countries, malaria transmission is the major health issue. To eradicate malaria, health communities depend on the control measure that affects economy and environment of the countries. To overcome these burdens, there is a great need to develop vaccine against malaria, but there is no vaccine to control malaria effectively.
View Article and Find Full Text PDFCommun Med (Lond)
January 2025
Child and Adolescent Psychiatry and Psychotherapy, University Medical Center Göttingen, Leibniz ScienceCampus Primate Cognition and German Center for Child and Adolescent Health (DZKJ), Göttingen, Germany.
Background: To assess the integrity of the developing nervous system, the Prechtl general movement assessment (GMA) is recognized for its clinical value in diagnosing neurological impairments in early infancy. GMA has been increasingly augmented through machine learning approaches intending to scale-up its application, circumvent costs in the training of human assessors and further standardize classification of spontaneous motor patterns. Available deep learning tools, all of which are based on single sensor modalities, are however still considerably inferior to that of well-trained human assessors.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!