Advanced Neurogenomics

Period of duration of course
Course info
Number of course hours
Number of hours of lecturers of reference
Number of hours of supplementary teaching

Modalità esame

Oral exam


PhD students


  1.       A primer on regulation of gene expression and statistical considerations
  2.       RNA-seq: how it works
  3.       Sequence quality control and mapping algorithms
  4.       Detection of differential gene expression
  5.       Clustering and other methods to reduce dimensionality
  6.       Analysis of differential expression using DESeq2
  7.       Gene Ontology and Gene Set Enrichment
  8.       Analysis of GO terms and pathways using WebGestalt
  9.       Network analysis
  10.       Applications of network analysis to the brain
  11.       Cell-specific transcriptome analysis in the brain
  12.       Single-cell RNA-seq, methods and analysis 
  13.       Single-cell RNA-seq, applications to the nervous system
  14.       Methods for spatial transcriptomics
  15.       Analysis of microRNAs and RNA immunoprecipitation 
  16.    ,  Proteome analysis by mass-spectroscopy 
  17.       Analysis of synaptic proteome
  18.       Analysis of nascent proteins and RNAs
  19.       Epigenetic analysis: DNA methylation and ChIP-seq
  20.       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