Metabolomics - CERM

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METREF 1,2,3 11 7 4 22 t 20 7 4 4 4 father & son 5 22 twins MetRef1 2005 MetRef2 2007 MetRef3 2008
METabolomic REFerence 2 2005 collection 2007 collection AD AF AG AH AI AO AP AR AS AT AU AW AX AZ BC BD BE BF BG BH BI BK 99.905% 100.000% 100.000% 99.922% 99.760% 97.500% 97.500% 100.000% 100.000% 99.995% 100.000% 100.000% 100.000% 100.000% 99.998% 100.000% 100.000% 100.000% 99.933% 100.000% 100.000% 99.470% AI AO AR AS AU AW BC BF BG BH BI BQ BS BT BU BV BX BZ TA TB 100.000 100.000% % 99.995% 99.941% 100.000% 99.998% 99.705% 99.629% 100.000% 100.000% 98.462% 99.998% 100.000% 99.983% 96.647% 99.998% 99.998% 100.000% 98.450% 98.235% PCA-CA-KNN classification results Bernini, P.; Bertini, I.; Luchinat, C.; Nepi, S.; Saccenti, E.; Schäfer, H.; Schütz, B.; Spraul, M.; Tenori, L. Individual human phenotypes in metabolic space and time, J. Prot. Res. 2009
Page 1 and 2:
Metabolomics Leonardo Tenori FiorGe
Page 3 and 4:
“La metabolomica è l’ultima na
Page 5 and 6:
Metabolomica: la nuova frontiera
Page 7 and 8:
Metabonomics “…measurement of t
Page 9 and 10:
Metabolomica: alcuni obiettivi Valu
Page 11 and 12:
Metabolomica: alcuni obiettivi Scop
Page 13 and 14:
The metabolome consists of what? Sm
Page 15 and 16:
C om p ound class N u m b er C om p
Page 17 and 18:
Why 1 µM? Equals ~200 ng/mL Limit
Page 19 and 20:
Medical Metabolomics Generate metab
Page 21 and 22:
Traditional Metabolite Analysis HPL
Page 23 and 24: What’s the Difference Between Met
Page 25 and 26: Advantages Measure multiple (10’s
Page 27 and 28: 2 Routes to Metabolomics Two approa
Page 29 and 30: Benefits of analyzing the metabolom
Page 31 and 32: Advantages: Use of NMR in Non-destr
Page 33 and 34: Raccolta e stoccaggio dei campioni
Page 35 and 36: NMR A typical 950-MHz H NMR spectru
Page 37 and 38: Profilo 1 H NMR di urina umana
Page 39 and 40: Profilo di siero umano Proteins + L
Page 41 and 42: Data analysis - approach Classify N
Page 43: PCA Unsupervised Multivariate analy
Page 51 and 52: PCA Loadings Plot • Loadings plot
Page 53 and 54: SIMCA Supervised learning method ba
Page 55 and 56: OPLS OPLS method is a recent modifi
Page 57 and 58: Targeted profiling Targeted metabol
Page 59 and 60: Databases
Page 61 and 62: Effetto della dieta Trimetilammina
Page 63 and 64: Effetto delle patologie Campioni di
Page 65 and 66: METabolomic REFerence The METREF pr
Page 67 and 68: Ind 1 Ind 2 METabolomic REFerence G
Page 69 and 70: METabolomic REFerence Dendrogram of
Page 71 and 72: METabolomic REFerence An individual
Page 73: METabolomic REFerence 2 Experimenta
Page 77 and 78: Un “salto” metabolico Evoluzion
Page 79 and 80: Celiac Disease Metabolomics Experim
Page 81 and 82: Celiac Disease Metabolomics Note: b
Page 83 and 84: Celiac Disease Metabolomics Celiac
Page 85 and 86: Celiac Disease Metabolomics Cluster
Page 87 and 88: Potential celiac disease Subjects:
Page 89 and 90: Celiachia Potenziale Celiaci - Sani
Page 91 and 92: ACIDO LINOLENICO REGIONE DEI METILI
Page 93 and 94: PRODOTTI DI OSSIDAZIONE QUASI ASSEN
Page 95 and 96: CARATTERIZZAZIONE GEOGRAFICA ( 1 H)
Page 97 and 98: Metabolomica del latte Recente inte
Page 99 and 100: Spettro 1 H NMR di marche diverse N
Page 101 and 102: Formato Spettro 1 H NMR di latte di
Page 103 and 104: formato Formato acetato e piruvato
Page 105: Disponibilità di Tesi in METABOLOM
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Metabolomics - CERM

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