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Metodi post-genomici in biochimica cellulare

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... Small metabolites (metabolomics) and their relations (metabonomics) Many other fantasy exercises (glycomics, lipidomics, allergenomics, degradomics ... – PowerPoint PPT presentation

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Title: Metodi post-genomici in biochimica cellulare


1
Metodi post-genomici in biochimica cellulare
2
Metodi post-genomici
3
Metodi post-genomici
  • Quantitative analysis of systems biology by
    taking advantage of available genomic information
    at the level of
  • SNPs analysis associated to disease or drug
    response
  • mRNA (transcriptomics)
  • Protein (proteomics)
  • Post-translational modifications (aka
    modificomics)
  • Surface exposure (surfomics)
  • Protein-protein interactions (interactomics)
  • Small metabolites (metabolomics) and their
    relations (metabonomics)

Many other fantasy exercises (glycomics,
lipidomics, allergenomics, degradomics, excluding
perhaps comics...)
G.B Smejkal, Im an omics, youre an -omics...
Exp. Rev. Proteomics 3 (2006) 383-385
4
Metodi post-genomici
  • Modelli cellulari e animali
  • Trascrittomica
  • Proteomica
  • Systems biology

5
Modelli cellulari e animali(farmacologici e/o
genetici)
6
Modelli cellulari(farmacologici e/o genetici)
  • Facilità di mantenimento e trattamento
  • Possibilità di combinare trattamento
    farmacologico e manipolazione genetica
  • Utili per riprodurre un singolo meccanismo
  • Cellule umane (o murine)

7
Modelli animali(farmacologici)
  • Intero organismo vs. cellule isolate
  • Trattamento sistemico o lesione chimica locale
  • Possibilità di valutare leffetto
    anterogrado/retrogrado

8
Modelli animali (e vegetali?!?)(genetici)
  • Organismi modello
  • Genoma noto
  • Non solo topo!
  • Vita breve
  • Invertebrati (e piante)

9
Trascrittomica
10
Common steps to expression analysis
11
RTqPCR
microRNAs are short (around 23 nt) non coding
RNAs with roles in transcriptional regulation of
gene expression
12
RTqPCR
13
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14
Quantification Analysis
15
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16
Arrays
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Arrays
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Arrays
Microarray technology has two major applications
gene expression analysis and genetic variation
analysis. All gene expression microarrays are
based on probes hybridization of labelled
cDNA. Differences arise in the labelling dye,
deployment, and probes immobilization and/or
organization. Illumina beads arrays Affymetrix
genechips Agilent microarrays
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Cluster analysis
21
Cluster analysis
  • Euclidean distance
  • Pearson correlation

22
Do it yourself
23
Next generation sequencing
24
1st gen. Sanger seq.
25
2nd gen. Illumina
https//www.youtube.com/watch?vwomKfikWlxM
26
2nd gen. IonTorrent
https//www.youtube.com/watch?vWYBzbxIfuKs
27
3rd gen. Pacific Biosciences
https//www.youtube.com/watch?vv8p4ph2MAvI
28
3rd gen. Oxford Nanopore
https//www.youtube.com/watch?v3UHw22hBpAk
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