Biochemistry for Diagnosis and Prognosis
Objectives
By the end of this course, the student will have acquired knowledge, skills, and competencies that enable them to:
- Deeply understand the biochemical processes involved in proteomics and metabolomics, and master the use of contemporary analytical technologies and methods for diagnosis and prognosis.
- Apply omics knowledge in diagnosis and prognosis, with a focus on precision medicine and personalized treatments.
- Understand the main biochemical mechanisms and bioinformatics methods that underpin the analysis and interpretation of omics data.
- Use case studies and practical projects to address challenges in omics diagnostics and prognostics.
- Stay updated with emerging innovations and trends in omics sciences, promoting adaptation and innovation.
- Work effectively in teams.
- Develop the ability to communicate and discuss results with specialists and non-specialists, using appropriate scientific language, concisely and clearly.
- Use English as the international scientific language.
General characterization
Code
13327
Credits
6.0
Responsible teacher
Hugo Miguel Baptista Carreira dos Santos, José Luís Capelo Martinez
Hours
Weekly - 3
Total - Available soon
Teaching language
Português
Prerequisites
Conhecimentos de Bioquimica.
Conhecimentos de Ingles. Fluente em ingles cientifico escrito (livros publicações). Fluente em comprehensão de inglés.
Posuir comptador portail.
Bibliography
Multi-omics approaches in cancer research with applications in tumour subtyping, prognosis, and diagnosis. Computational and Structural Biotechnology Journal
Volume 19, 2021, Pages 949-960
"Integrative Multi-Omics in Biomedical Research" by Christopher Gerner and Michelle Hill, published in December 2021.
Omics Technologies for Clinical Diagnosis and Gene Therapy: Medical Applications in Human Genetics. DOI: 10.2174/97898150795171220101
Omics Data Integration towards Mining of Phenotype Specific Biomarkers in Cancers and Diseases Chuan-Xing Li, Lei Deng, Liang Cheng, Mingxiang Teng, Yan Zhang 9782889718061, 2889718069, Published: February 16, 2022
Integration of Omics Approaches and Systems Biology for Clinical Applications. Antonia Vlahou, Fulvio Magni, Harald Mischak, Jerome Zoidakis
9781119181149, 1119181143
Textbook of Personalized Medicine -- K ewal K. Jain -- 3rd ed., 2021 -- Springer -- 9783030620790
Teaching method
Available soon
Evaluation method
Available soon
Subject matter
1. Introduction to Biochemistry in Medical Diagnosis and Prognosis.
2. Clinical Data Collection, Patient Phenotyping and related Ethical Issues.
3. Modern Biochemical Approaches in the Omics Era and its Clinical Application.
4. Proteomics, Peptidomics and Metabolomics of Body Fluids.
5. Tissue Proteomics and Imaging.
6. Introduction to the Concept of Systems Biomedicine: Data Mining, Integration of Proteomics, Metabolomics, Physiology and Clinical data.
7. Identification of Metabolic Pathways involved in diseases.
8. Case studies: Chronic kidney disease, bladder carcinoma and breast cancer.
Laboratory Classes: (10h) Extracting and treating one complex proteome using the Fast Assisted Sample Preparation protocol and/or the cold-acetone precipitation process. Use of omics raw data to generate longitudinal variations in the individual proteome, connecting it with the clinical data for diagnosis and prognosis.