Advanced Neurogenomics
Prerequisiti
PhD students
Programma
- A primer on regulation of gene expression and statistical considerations
- RNA-seq: how it works
- Sequence quality control and mapping algorithms
- Detection of differential gene expression
- Clustering and other methods to reduce dimensionality
- Analysis of differential expression using DESeq2
- Gene Ontology and Gene Set Enrichment
- Analysis of GO terms and pathways using WebGestalt
- Network analysis
- Applications of network analysis to the brain
- Cell-specific transcriptome analysis in the brain
- Single-cell RNA-seq, methods and analysis
- Single-cell RNA-seq, applications to the nervous system
- Methods for spatial transcriptomics
- Analysis of microRNAs and RNA immunoprecipitation
- , Proteome analysis by mass-spectroscopy
- Analysis of synaptic proteome
- Analysis of nascent proteins and RNAs
- Epigenetic analysis: DNA methylation and ChIP-seq
- Examples of epigenetic studies in the nervous system
Obiettivi formativi
Aims of the course are: 1) to educate students in the critical reading of omics-based publication both for the experimental and data analysis parts 2) to illustrate how these technologies have provided novel insights into the functional organization of the nervous system and 3) to provide students with the knowledge necessary to design their own omics-based projects, perform initial data analysis and interact with bioinformaticians for more complex analysis
Riferimenti bibliografici
Cellerino & Sanguanini "Transcriptome analysis" Ed. Scuola Normale