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Technische Universität München Cancer biomarker discovery by chemical and quantitative proteomics Sebastian Berger, B. Sc., 3010425 Center of Life and.

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Presentation on theme: "Technische Universität München Cancer biomarker discovery by chemical and quantitative proteomics Sebastian Berger, B. Sc., 3010425 Center of Life and."— Presentation transcript:

1 Technische Universität München Cancer biomarker discovery by chemical and quantitative proteomics Sebastian Berger, B. Sc., 3010425 Center of Life and Food Sciences Weihenstephan Chair of Proteomics and Bioanalytics Master Kolloquium

2 Content  Introduction  Methods  Results  Discussion

3 Einführung  Cancer: A major cause of death Lung Cancer (85% NSCLC)  Cancer establishment: 6 hallmarks of cancer No exact pathway

4 Einführung  Biomarkers: Since antiquity DNA biomarker Protein biomarker –e.g. Kinase  Discovery: Needle in the haystack

5 Einführung  Aim: Kinase as biomarker  To-Do: Healthy vs. Cancer Kinase enrichment Quantification

6 Methods  Workflow: Tissue lysis Affinity pulldown LC-MS/MS Quantification Identification Statistical analysis Kinome enrichment

7 Methods  Affinity pulldown: Kinobeads –Kinase inhibitors  Protein Quantification Progenesis LC-MS –Intensity based quantification

8 Results

9  Quantification method comparison

10 Ergebnisse  Reproducibility Correlation Coefficient All identified kinases Kinases with >3 peptides for quantification Higher reproducibility in the higher intensity part SampleCorrelation [1/2]Correlation [1/2] >3 1557.7086.89 1685.691.8 1891.394.38 219093.91 337585 3637.273.33 564854.35 575575.42 628193.19 658098 868990 8789 97.66 9087.44 92.95 9778.3090.70 12153.270.96 1227190.27 12787,4 95.38

11 Results  Data Evaluation Progenesis data VSN normalized data QQ-Plots –Straight line indicates normal distribution Scatter plots Progenesis VSN data

12 Results Progenesis VSN

13 Results  PCA Analysis Progenesis data

14 Results  PCA Analysis VSN data

15 Results  Kinase Clustering ProgenesisVSN

16 Results  Ingenuity Pathway

17 Results  Kinase profiling

18 Results  Patient profiling

19 Discussion  Quantification Only „Chemical labeling“ or label-free  Sample Exclusion Cancer Sample 33 Cancer Sample 36 Control Sample 62 50 kD C 33 E 33C 36E 36 C 56 C 33 E 33C 36 E 36 C 56 E 56 HOP 62 E 62 75 kD 50 kD SampleCorrelation [1/2]Correlation [1/2] >3 3637.273.33

20 Discussion  Kinase profiling Overall expression  Patient profiling Stratification  IPA Pathway prediction

21 Discussion  Sample type Biopsy Blood

22 Outlook  Further screening  Not yet diseased  Smokers vs. Non- smokers  Therapy context  Blood sample

23 Thank you for your attention!


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