National Phd in Systems Medicine
Doctoral programme (PhD)
A.Y. 2023/2024
Study area
Medicine and Healthcare
The recent progresses made in the fields of genetics and genomic sciences have triggered a big change, which is leading classical medicine to transform itself into the so-called Precision Medicine, based on the acquisition and integration of enormous quantities of quantitative molecular data and their exploitation for a personalized definition of the disease and of his targeted therapy. Precision Medicine has changed the way in which the cellular and molecular mechanisms of the disease are investigated. It uses technological platforms to produce a big amount of information, which allow to highlight and quantify the heterogeneous nature of diseases and the phenotypic variability associated with individuals. Precision Medicine will totally change the approach to treatment not only for therapy, but also for diagnosis and prevention. Therefore, the transition to Precision Medicine requires professionals with new skills and multi-disciplinary training.
The PhD in Systems Medicine aims to provide doctors and scientists with interdisciplinary theoretical and technological training in biomedical sciences to be applied to the problems of precision medicine, with the aim of training professionals capable of dealing with technological strategies and highly complex therapeutics with a multidisciplinary approach.
The PhD in Systems Medicine aims to provide doctors and scientists with interdisciplinary theoretical and technological training in biomedical sciences to be applied to the problems of precision medicine, with the aim of training professionals capable of dealing with technological strategies and highly complex therapeutics with a multidisciplinary approach.
Tutte le classi di laurea magistrale - All classes master's degree
Dipartimento di Oncologia ed Ematologia-Oncologia - Via Adamello, 16 - 20139 MILANO (MI)
- Main offices
Dipartimento di Oncologia ed Ematologia-Oncologia - Via Adamello, 16 - 20139 MILANO (MI) - Degree course coordinator: Saverio Minucci
[email protected] - Degree course website
https://www.semm.it/education/phd-program-systems-medicine
| Title | Professor(s) |
|---|---|
| BACE2 shapes tumor microenvironment
Curriculum: Molecular Oncology |
A. Bachi (IFOM)
|
| Functional Proteomics
Curriculum: Molecular Oncology |
A. Bachi (IFOM)
|
| Single-cell multi-omic profiling of structural variants, 3D genome conformation, and gene expression in colorectal cancer organoids
Curriculum: Molecular Oncology |
M. Bienko (HT)
|
| Studying the dynamics of the higher-order chromatin structure using multi-omics and molecular dynamics simulations.
Curriculum: computational Biology |
M. Bienko (HT)
|
| Defining LINE1 dynamics in tumor-infiltrating lymphocytes to unveil novel immunotherapeutic candidates
Curriculum: Molecular Oncology |
|
| Dissecting the epigenetic role of Transposable Elements in tumor infiltrating lymphocytes
Curriculum: Molecular Oncology |
|
| Proteomic characterization of antigens involved in the anti-tumor response elicited by antigen-presenting cells (APCs) expressing allogeneic MHC
Curriculum: Molecular Oncology |
|
| Multi -OMIC integration of epigenomics and proteomics data from cancer clinical samples, for epigenetic biomarkers identification and dissection of novel targets
Curriculum: Molecular Oncology |
|
| Regulation of chromatin activity by RNA
Curriculum: Human Genetics |
P. Carninci (HT)
|
| Role of transcribed repeat elements in regulation of translation
Curriculum: Human Genetics |
P. Carninci (HT)
|
| Single cell transcriptome analysis
Curriculum: Human Genetics |
P. Carninci (HT)
|
| Analysis of non-coding genome and transcriptome
Curriculum: computational Biology |
P. Carninci (HT)
|
| Functional Genomics
Curriculum: computational Biology |
P. Carninci (HT)
|
| Molecular Mechanisms of mRNA Modifying Machines
Curriculum: Molecular Oncology |
A. Casanal (HT)
|
| Molecular Mechanisms of RNA Editing Macromolecular Complexes
Curriculum: Molecular Oncology |
A. Casanal (HT)
|
| PROFILING AND TARGETING EPIGENETIC MARKS TO IMPROVE DIAGNOSIS AND THERAPEUTIC APPROACHES IN HEAD AND NECK CANCER
Curriculum: Molecular Oncology |
S. Chiocca (IEO)
|
| Viruses and Cancer
Curriculum: Molecular Oncology |
S. Chiocca (IEO)
|
| Genetic and epigenetic mechanisms of heart failure: therapeutic approaches
Curriculum: Molecular Oncology |
G. Condorelli (HUNIMED)
|
| Cardiovascular diseases
Curriculum: Molecular Oncology |
G. Condorelli (HUNIMED)
|
| Integrative structural biology of thyroid hormone regulation in health and disease
Curriculum: Molecular Oncology |
F. Coscia (HT)
|
| Structural and functional characterization of thyroid trafficking factors
Curriculum: Molecular Oncology |
F. Coscia (HT)
|
| Molecular determinants of DNA replication stress and their link to cancer cell chemo-resistance
Curriculum: Molecular Oncology |
|
| Understanding how vertebrate stem cells maintain genome stability
Curriculum: Molecular Oncology |
|
| Consequences of DNA damage in cancer and stem cells
Curriculum: Molecular Oncology |
V. Costanzo
|
| Understanding the role of tumor suppressor genes BRCA1/2 at the intersection of DNA repair and epigenetic regulation in stem cells and cancer
Curriculum: Molecular Oncology |
V. Costanzo
|
| Impact of SARS-COV-2 infection on genome stability and cancer
Curriculum: Molecular Oncology |
F. d'Adda di Fagagna (IFOM)
|
| DNA damage Response and Cellular Senescence
Curriculum: Molecular Oncology |
F. d'Adda di Fagagna (IFOM)
|
| Modeling mulitiomic states of brain cells in evolution, development, and disease
Curriculum: computational Biology |
J. Davila-Velderrain (HT)
|
| Cellular complexity of the human brain in development and neurodegeneration
Curriculum: computational Biology |
J. Davila-Velderrain (HT)
|
| Mapping tumor microenvironment heterogeneity and plasticity through single-cell and spatial transcriptomics
Curriculum: Molecular Oncology |
R. De Maria (UNICatt)
|
| FPG500: Data integration for Comprehensive Cancer Genome Profiling
Curriculum: Molecular Oncology |
R. De Maria (UNICatt)
|
| Cell therapy (CAR-T, CAR-Nk, NK based immunotherapy combinations ), targeted therapies in lymphoma and leukemia
Curriculum: Molecular Oncology |
|
| molecular therapies in the field of Lymphoma and acute and chronic Leukemia.
Curriculum: Molecular Oncology |
|
| Investigating the mechanisms of eccDNA accumulation following DNA damage
Curriculum: Molecular Oncology |
Y. Doksani (IFOM)
|
| Replication Stress Response
Curriculum: Molecular Oncology |
Y. Doksani (IFOM)
|
| Dissecting immune developmental trajectories with single-cell genomics
Curriculum: computational Biology |
C. Domínguez Conde (HT)
|
| Understanding early-life human immunity and immune-mediated diseases in children using cutting-edge genomic and computational methods
Curriculum: computational Biology |
C. Domínguez Conde (HT)
|
| Understanding Biomolecular Condensation in Neurodegenerative Disease Models from In Vitro to Tissue
Curriculum: Molecular Oncology |
P. Erdmann (HT)
|
| Modelling bacterial and viral infections in organoids using cryo-electron tomography
Curriculum: Molecular Oncology |
P. Erdmann (HT)
|
| Diversity in Glioblatoma mechanoproperties
Curriculum: Molecular Oncology |
N. Gauthier (IFOM)
|
| Mechano-Oncology
Curriculum: Molecular Oncology |
N. Gauthier (IFOM)
|
| Deciphering the paediatric Leukaemia stem cells – Immune crosstalk: from mechanisms to therapy
Curriculum: Molecular Oncology |
A. Giustacchini (HT)
|
| Novel strategies to prevent and treat leukemia progression.
Curriculum: Molecular Oncology |
A. Giustacchini (HT)
|
| Computational Drug repurposing for NeuroCOVID
Curriculum: computational Biology |
F. Iorio (HT)
|
| Analytical methods for pharmacogenomics
Curriculum: computational Biology |
F. Iorio (HT)
|
| Investigating the role of new oncological drugs in the high-precision radiotherapy era with a focus on proton therapy (the High-Rad Project)
Curriculum: computational Biology |
|
| APO - Advancing Precision Oncology: Leveraging Big Data for Patient Outcomes and Treatment Optimization with a Focus on Proton Therapy
Curriculum: computational Biology |
|
| Regulation of spatial gene expression territories in neurodevelopment
Curriculum: computational Biology |
I. Legnini (HT)
|
| The role of RNA binding proteins in neuronal transcriptome plasticity
Curriculum: Molecular Oncology |
I. Legnini (HT)
|
| Combination of molecular and systems biology approaches to study gene regulation
Curriculum: computational Biology |
I. Legnini (HT)
|
| Defining the role of the FAM46C/FNDC3A complex in breast cancer
Curriculum: Molecular Oncology |
N. Manfrini (INGM)
|
| Molecular basis of Wnt-dependent self-renewal
Curriculum: Molecular Oncology |
M. Mapelli (IEO)
|
| Mechanistics of Wnt-dependent self-renewal of intestinal stem cells
Curriculum: Molecular Oncology |
M. Mapelli (IEO)
|
| Molecular Basis of Asymmetric Cell Divisions
Curriculum: Molecular Oncology |
M. Mapelli (IEO)
|
| Impact of somatic NF1 mutations on metastasis and drug response across multiple tumors
Curriculum: computational Biology |
L. Mazzarella (IEO)
|
| Translational oncology
Curriculum: computational Biology |
L. Mazzarella (IEO)
|
| Regulation of the PP2A signaling axis in tumor cells by environmental signals, and intersection with the epigenome
Curriculum: Molecular Oncology |
|
| Chromatin Alterations in Tumorigenesis
Curriculum: Molecular Oncology |
|
| Microbiome-host metabolic interactions in cancer
Curriculum: Molecular Oncology |
L. Nezi (IEO)
|
| Microbiome and Antitumor Immunity
Curriculum: Molecular Oncology |
L. Nezi (IEO)
|
| Transcriptional and Epigenetic mechanisms provided by Noncoding RNAs in human cancer
Curriculum: Molecular Oncology |
F. Nicassio (IIT)
|
| Noncoding Genome in Development and Disease
Curriculum: Molecular Oncology |
F. Nicassio (IIT)
|
| Decrypting the mechanisms of Polycomb-dependent control of transcriptional identity with integrative multi-omics approaches
Curriculum: Molecular Oncology |
|
| Mechanistic understanding of Polycomb-mediated regulation of transcriptional identity in oncogenesis
Curriculum: Molecular Oncology |
|
| Epigenetic Mechanisms in Cancer
Curriculum: Molecular Oncology |
|
| Exploring molecular and cellular mechanisms of cancer progression and metastases
Curriculum: Molecular Oncology |
|
| Multi-omic approaches for the identification of novel targeted treatments
Curriculum: Molecular Oncology |
|
| Single-cell mutational and transcriptional tracing during metastatic progression and acquisition of treatment resistance
Curriculum: computational Biology |
|
| Analyses of the genetic and phenotypic evolution at single-cell level of normal and cancer stem cells
Curriculum: computational Biology |
|
| Harnessing the epigenetic-metabolic interplay sustaining GBM plasticity for therapeutic purposes
Curriculum: Molecular Oncology |
G. Pelicci (UNIUPO)
|
| Biology of glioblastoma
Curriculum: Molecular Oncology |
G. Pelicci (UNIUPO)
|
| Decoding the functional role of RNA modifications in breast cancer through Nanopore single molecule RNA sequencing
Curriculum: computational Biology |
M. Pelizzola (IIT)
|
| The role of RNA modifications in the onset of breast cancer spliceosomal vulnerability
Curriculum: computational Biology |
M. Pelizzola (IIT)
|
| High-throughput assessment of the mammalian RNA editing repertoire
Curriculum: computational Biology |
G. Pesole (UNIBA)
|
| Study of the microbiome in clinical and environmental samples using metagenomic approaches
Curriculum: computational Biology |
G. Pesole (UNIBA)
|
| Cellular and structural biology of cilia assembly and maintenance
Curriculum: Molecular Oncology |
G. Pigino (HT)
|
| Understanding the underlying molecular mechanisms of ciliary functions and dysfunctions
Curriculum: Molecular Oncology |
G. Pigino (HT)
|
| Predicting antibiotic resistance evolution
Curriculum: computational Biology |
F. Pinheiro (HT)
|
| Predicting ecological and evolutionary processes
Curriculum: computational Biology |
F. Pinheiro (HT)
|
| Unleashing the Power of NEDD4: Insights into the Structural Basis and Mechanisms of Action
Curriculum: Molecular Oncology |
|
| Investigating beta-catenin-dependent alternative splicing reprogramming in colon cancer
Curriculum: Molecular Oncology |
|
| Ubiquitin in RNPs phase separation and dynamics and its relevance in neurodegenerative disorders
Curriculum: Molecular Oncology |
|
| Molecular Machines in Signalling Pathways
Curriculum: Molecular Oncology |
|
| AI-driven decision-making in cancer care
Curriculum: Medical Humanities |
|
| Determinants of shared decision making and implementation strategies in clinical practice
Curriculum: Medical Humanities |
G. Pravettoni
|
| Developing integrated health behavioural models to prevent cancer disease
Curriculum: Medical Humanities |
G. Pravettoni
|
| Effects of adjuvant endocrine therapy on cognitive performance in patients with breast cancer: a longitudinal study
Curriculum: Medical Humanities |
G. Pravettoni
|
| Understanding and predicting the response to epigenetic drugs: from a robust regulatory network to acquired vulnerabilities
Curriculum: Molecular Oncology |
P. Scaffidi (IEO)
|
| Cancer Epigenetics
Curriculum: Molecular Oncology |
P. Scaffidi (IEO)
|
| Contact Percolation Promotes Collective Flocking Migration and a Pro-Inflammatory Cytosolic DNA Response in Epithelial Tissues
Curriculum: Molecular Oncology |
|
| Controlled deformations impact cell fate in 3D model of breast cancer cell assemblies
Curriculum: Molecular Oncology |
|
| Mechanisms of Tumor Cell Migration
Curriculum: Molecular Oncology |
|
| Computational metagenomics an cultivation approaches to study microbiome transmissibility and links with host diseases for the ERC-CoG microTOUCH project
Curriculum: computational Biology |
N. Segata (UNITN)
|
| Healthy aging and the human microbiome
Curriculum: Computational Biology |
N. Segata (UNITN)
|
| Modeling and evaluating microbiological engraftment of fecal microbiota transplantation
Curriculum: computational Biology |
N. Segata (UNITN)
|
| The horizontal transmission of the human microbiome and biomedical applications
Curriculum: Computational Biology |
N. Segata (UNITN)
|
| Single cell multi-omics for cancer evolution
Curriculum: Molecular Oncology |
A. Sottoriva (HT)
|
| Predicting cancer evolution
Curriculum: Molecular Oncology |
A. Sottoriva (HT)
|
| Synapse Evolution
Curriculum: Molecular Oncology |
E. Taverna (HT)
|
| Cell biology of Neural Stem Cells
Curriculum: Molecular Oncology |
E. Taverna (HT)
|
| Cell biology of brain development and evolution
Curriculum: Molecular Oncology |
E. Taverna (HT)
|
| Stem cell identity in brain development
Curriculum: Molecular Oncology |
E. Taverna (HT)
|
| Epigenetic modifiers of the GTF2i axis in thymomas
Curriculum: Molecular Oncology |
|
| NeuroCOVID: experimental disease modelling for tackling brain vulnerability in COVID19 at high resolution
Curriculum: computational Biology |
|
| RE-MEND – BUILDING RESILIENCE AGAINST MENTAL ILLNESS DURING ENDOCRINE-SENSITIVE LIFE STAGES: Brain organoid-based modelling of gene-environment interactions.
Curriculum: Molecular Oncology |
|
| RE-MEND – BUILDING RESILIENCE AGAINST MENTAL ILLNESS DURING ENDOCRINE-SENSITIVE LIFE STAGES: Single cell omics deconvolution of gene-environment interplay.
Curriculum: computational Biology |
G. Testa
|
| Stem Cell and Organoid Epigenetics
Curriculum: Molecular Oncology |
G. Testa
|
| Deep learning approaches to data integration and multi-omic lineage tracing in ovarian cancer
Curriculum: Computational Biology |
G. Testa
|
| Interactive atlas of the developing human brain and brain organoids at single cell resolution for disease modelling of neurodevelopmental disorders
Curriculum: Computational Biology |
|
| NeuroCOVID: computational analysis for tackling brain vulnerability in COVID19 at high resolution
Curriculum: Computational Biology |
G. Testa
|
| Integrative structural biology of genome structure and organization
Curriculum: Molecular Oncology |
A. Vannini (HT)
|
| Molecular basis of RNA Polymerase III transcription in health and disease
Curriculum: Molecular Oncology |
A. Vannini (HT)
|
| Dissecting the intracellular response to replication and mitotic stress in colorectal cancer for the design of novel effective (immuno)therapies
Curriculum: Molecular Oncology |
I. Vitale (IIGM)
|
| Genomic Instability and Tumor Immunity
Curriculum: Molecular Oncology |
I. Vitale (IIGM)
|
| Integrative analysis of multi-omics data to extract novel predictive biomarkers
Curriculum: Computational Biology |
Y. Zhan (IEO)
|
| Implementing advanced analytics in the context of complex multi-omics (genomics, transcriptomics, etc.) and microscopy data
Curriculum: computational Biology |
Y. Zhan (IEO)
|
| Lab-on-chip microfluidic platforms for biomedical applications
Curriculum: Human Genetics |
S. Guido
|
| Overcoming the challenge of gene therapy in inborn errors of metabolism with liver damage
Curriculum: Human Genetics |
P. Piccolo
|
| Kidney organoids to study rare diseases with renal involvement
Curriculum: Human Genetics |
B. Franco (UNINA)
|
| miR-181a/b down regulation as a therapeutic approach for Leigh syndrome
Curriculum: Human Genetics |
B. Franco (UNINA)
|
| Mammalian Synthetic Biology approaches to develop Next Generation Whole Cell Biosensors for biotechnology and biomedicine
Curriculum: Human Genetics |
D. di Bernardo (TIGEM)
|
| Nutrient signaling and metabolic diseases
Curriculum: Human Genetics |
G. Napolitano (TIGEM)
|
| Role of endoplasmic reticulum dynamics in neuromuscular diseases
Curriculum: Human Genetics |
P. Grumati (TIGEM)
|
| Multiomics functional genomics to dissect the role of genetic disorders
Curriculum: Human Genetics |
D. Cacchiarelli
|
| Dissecting the TFEB-mTORC1 lysosomal signaling pathway as central regulator of cellular homeostasis in healthy and disease conditions
Curriculum: Human Genetics |
A. Ballabio (UNINA)
|
| Molecular and structural characterization of SARS-CoV-2-induced cellular remodeling.
Curriculum: Human Genetics |
M. Cortese (TIGEM)
|
| Gene therapy and genome editing in the retina
Curriculum: Human Genetics |
A. Auricchio (UNINA)
|
| The miRNAs in Eye Function and Disease: new targets for molecular therapy
Curriculum: Human Genetics |
A. Auricchio (UNINA)
|
| 1) Generation of innovative gene-independent therapeutic strategies for mitochondrial diseases 2) Targeting mitochondrial turnover in rare and common neurodegenerative diseases
Curriculum: Human Genetics |
A. Indrieri (TIGEM)
|
| Innovative gene therapy approaches for tackling retinal diseases
Curriculum: Human Genetics |
I. Trapani (TIGEM)
|
| molecular oncology and immunology
Curriculum: Molecular Oncology |
|
| Investigating the impact of tumor infiltrating Treg cell modulation on their crosstalk with the tumor microenvironment
Curriculum: Molecular Oncology |
M. Pagani
|
| Targeting DNA repair pathways in colorectal cancers
Curriculum: Molecular Oncology |
A. Bardelli (UNITO)
|
| Genomics of Cancer and Targeted Therapies
Curriculum: Molecular Oncology |
A. Bardelli (UNITO)
|
| Enhancement of genetic vaccine effectiveness by co-delivery of genetic adjuvants
Curriculum: Human Genetics |
A. Nicosia (Ceinge)
|
| Improving gene therapy efficacy inducing local immunotolerance to therapeutic proteins
Curriculum: Human Genetics |
A. Nicosia (Ceinge)
|
| Emerging metabolites and proteins in mammalian CNS also connected to neuropsychiatric diseases
Curriculum: Human Genetics |
F. Salvatore (Ceinge)
|
| Predictive genomics medicine, tridimensional transcriptomics and other omic sciences for finding molecular biomarkers in tumor pathophysiology
Curriculum: Human Genetics |
F. Salvatore (Ceinge)
|
| Targeting protein aggregation and inflammation as therapy for Sanfilippo Syndrome
Curriculum: Human Genetics |
A. Fraldi (Ceinge)
|
| Genetics and Epigenetics in Pediatric Food Allergy (GEPFA
Curriculum: Human Genetics |
R.Berni Canani (Ceinge)
|
| Integration of DNA and RNA binding proteins binding models in multiple tissues and cell lines as a tool to evaluate genome-wide regulatory mutational burden (ex DM 117/2023)
Curriculum: Computational Biology |
Uberto Pozzoli
|
Courses list
October 2023
| Courses or activities | Professor(s) | ECTS | Total hours | Language |
|---|---|---|---|---|
| Compulsory | ||||
| Cancer Genetics | 2 | 10 | English | |
July 2024
| Courses or activities | Professor(s) | ECTS | Total hours | Language |
|---|---|---|---|---|
| Compulsory | ||||
| Biochemistry and Molecular Biology Techniques | 4 | 20 | English | |
September 2024
| Courses or activities | Professor(s) | ECTS | Total hours | Language |
|---|---|---|---|---|
| Compulsory | ||||
| Immunology | 3 | 16 | English | |
May 2024
| Courses or activities | Professor(s) | ECTS | Total hours | Language |
|---|---|---|---|---|
| Compulsory | ||||
| From R to Statistics | 6 | 30 | English | |
September 2024
| Courses or activities | Professor(s) | ECTS | Total hours | Language |
|---|---|---|---|---|
| Compulsory | ||||
| Programming | 8 | 40 | English | |
March 2024
| Courses or activities | Professor(s) | ECTS | Total hours | Language |
|---|---|---|---|---|
| Optional | ||||
| Structural Biology | 4 | 20 | English | |
June 2024
| Courses or activities | Professor(s) | ECTS | Total hours | Language |
|---|---|---|---|---|
| Compulsory | ||||
| Scientific Writing | 2 | 10 | English | |
May 2024
| Courses or activities | Professor(s) | ECTS | Total hours | Language |
|---|---|---|---|---|
| Compulsory | ||||
| Proteomics | 4 | 20 | English | |
Enrolment
Call for applications
Please refer to the call for admission test dates and contents, and how to register.
Application for admission: please refer to the call
Attachments and documents
Following the programme of study
Contacts
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