Course Outcomes |
Learning and teaching strategies |
Assessment Strategies |
Upon completion of the course the learner will: CO108: Correlate the role of Genome in drug interaction CO109: Use various Genome resolution and detection tools in disease diagnosis CO110: Design metabolite profile for biomarker detection CO111: Connect detection and identification of Microbial Diseases using genotypic markers CO112: Devise methods to detect inherited disease CO113: Identify methods for molecular Oncology and quality assurance |
Class lectures Seminars Tutorials Group discussions and Workshops Question preparation
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Class test, Semester end examinations, Quiz, Solving problems in tutorials, Assignments, Presentation, Individual and group projects |
DNA, RNA, Protein: An overview; chromosomal structure & mutations; DNA polymorphism: human identity; clinical variability and genetically determined adverse reactions to drugs.
PCR: Real-time; ARMS; Multiplex; ISH; FISH; ISA; RFLP; DHPLC; DGGE; CSCE; SSCP; Nucleic acid sequencing: new generations of automated sequencers; Microarray chips; EST; SAGE; microarray data normalization & analysis; molecular markers: 16S rRNA typing; Diagnostic proteomics: SELDI-TOF-MS; Bioinformatics data acquisition & analysis.
Metabolite profile for biomarker detection of the body fluids/tissues in various metabolic disorders by using LCMS & NMR technological platforms.
Direct detection and identification of pathogenic-organisms that are slow growing or currently lacking a system of in vitro cultivation as well as genotypic markers of microbial resistance to specific antibiotics.
Exemplified by two inherited diseases for which molecular diagnosis has provided a dramatic improvement of quality of medical care: Fragile X Syndrome: Paradigm of new mutational mechanism of unstable triplet repeats, von-Hippel Lindau disease: recent acquisition in growing number of familial cancer syndromes.
Detection of recognized genetic aberrations in clinical samples from cancer patients; types of cancer-causing alterations revealed by next-generation sequencing of clinical isolates; predictive biomarkers for personalized onco-therapy of human diseases such as chronic myeloid leukemia, colon, breast, lung cancer and melanoma as well as matching targeted therapies with patients and preventing toxicity of standard systemic therapies.Quality oversight; regulations and approved testing.
· Campbell, A. M., & Heyer, L. J. (2006). Discovering Genomics, Proteomics, and Bioinformatics. San Francisco: Benjamin Cummings.
· Brooker, R. J. (2009). Genetics: Analysis & Principles. New York, NY: McGraw-Hill.
· Glick, B. R., Pasternak, J. J., & Patten, C. L. (2010). Molecular Biotechnology:
· Principles and Applications of Recombinant DNA. Washington, DC: ASM Press.
· Coleman, W. B., & Tsongalis, G. J. (2010). Molecular Diagnostics: for the Clinical Laboratorian. Totowa, NJ: Humana Press.
SUGGESTED READING:
· Molecular Diagnostics: Fundamentals, Methods and Clinical Applications by Lela Buckingham
· Molecular Diagnostics: Fundamentals, Methods and Clinical Applications
e-RESOURCES:
· https://www.youtube.com/watch?v=EB5xA2iytWM
JOURNALS:
· Analytical and Bioanalytical Chemistry, Springer
· Trends in Analytical Chemistry, Elseviers