Biotechnologies in molecular diagnostics and fundamental of statistics

A.Y. 2016/2017
Overall hours
BIO/12 MED/01 MED/05 MED/36
Learning objectives
Expected learning outcomes
Course syllabus and organization

Single session

Lesson period
First semester
Modulo: Biotecnologie in diagnostica
Course syllabus
Laboratory principles1: general laboratory techniques, procedures and safety
Laboratory principles 2: specimen collection and other preanalytical variables
Principles of clinical enzymology and diagnostic applications
Principles and immunochemical techniques and protein arrays
Nucleic Acids 1: gene espresssion profile and clinical applications
Nucleic acids 2: Metods for genotyping and epigenetic analysis
Principles of capillary zone electrophoresis and HPLC and clinical applications
Mass spectrometry
Proteomics techniques for proteome profiling of cell and tissue estracts
Proteomic techniques for proteome profiling of biological fluids and possible clinical - applications
Principles for post trasductional modifications analysis and their clinical significance
Techniques in surgical pathology
Techniques in immunohysto-cytochemistry
Techniques in molecular pathology and their clinical implication: Fluorescence in situ hybridization (FISH) analysis - Staining in pathology.
General introduction about "biomarkers" concept. Tumor biomarkers
Diagnostic biomarkers of metabolic disease
Cytokines and chemokines as disease biomarkers
Cytokines and chemokines as bone remodelling biomarkers.
The new concept of "Osteoimmunology"
Matrix metalloproteinases as new bone remodelling biomarkers.
General revision and course closure
Modulo: Statistica nella sperimentazione biomedica
Course syllabus
Non-invasive imaging techniques, Radiography Computed Tomography, PET/SPECT, MRI
Biomarker Imaging with contrast agents and tracers
Animal models and Molecular Imaging
Reporter genes and transgenic animals
Imaging of Reporter Gene expression (Bioluminescence, Fluorescence, PET, MRI)
Cell labeling and imaging
Statistics and the Scientific Method
Measurement scales
How to represent data: position and variability indexes.
Accuracy and precision.
Biological and analytical variability
Laboratory measurement and statistical models
Statistics as measurement method: model estimation
Confidence Intervals
Association and dependence
Calibration of measurement methods and Regression
Experimental design and Analysis of Variance
Concordance between measurement methods.
Diagnostic testing. Sensitivity, Specificity and ROC.
Diagnostic predictive values and likelihood ratios
Statistical hypothesis testing
Assessment of the efficacy of a diagnostic or therapeutic procedure.
Biostatistics and Genomic bioprofiling.

Calculus spreadsheet and Software R for Biostatistics: Descriptive Statistics, use of graphics and indexes in biomedical studies.
Sampling and Gaussian, Exponential and Poisson distributions in Biology
Point and interval estimation in the biotechnology lab
Bioanalitic use of regression: calibration.
Analysis of Variance and concordance between laboratory methods
Diagnostic test assessment, ROC and Fagan nomogram
Application of single and multiple statistical testing on experimental data,
Bioprofile analysis on genomic data: differential expression and cluster analysis.
Modulo: Biotecnologie in diagnostica
MED/05 - CLINICAL PATHOLOGY - University credits: 0
Practicals: 16 hours
Lessons: 32 hours
gruppo 1
Professor: Gelfi Cecilia
gruppo 2
Professor: Gelfi Cecilia
Modulo: Statistica nella sperimentazione biomedica
MED/01 - MEDICAL STATISTICS - University credits: 0
MED/36 - IMAGING AND RADIOTHERAPY - University credits: 0
Practicals: 16 hours
Lessons: 24 hours