1. Richa Batra Jamboree meeting Dresden, 16-17.05.2017
LySim- Pillar III Regeneration and Recovery in Acute-on-Chronic Liver Failure (ACLF) MultiOMICS analysis of Chronic Liver Disease
Richa Batra
Jamboree meeting
Dresden,

3. Multi-OMICS analysis of chronic liver disease - R. Batra
Human samples
Model-based comparision of alterations
Serum  Proteome
Bioinformatic analysis of progressive changes
Organ  Micro-CT
Quantification of functionality by mathematical modeling
Tissue  Proteome
Bioinformatic analysis of progressive changes
Tissue  Staining
Adaptation of tissue model
Cell Intracellular signaling – gene expression
Adaptation of dynamic pathway models
Birth
HFD
Time point (weeks)
0 (W4) 8 12 16 20 30
Pillar I
Pillar II 26
Pillar III RD

4. Exp. Partner U. Klingmüller
Multi-OMICS analysis of chronic liver disease - R. Batra
Exp. Partner
U. Klingmüller

5. Exp. Partner U. Klingmüller
Multi-OMICS analysis of chronic liver disease - R. Batra
Exp. Partner
U. Klingmüller

6. How CAN we contribute? Methods already developed
Biomarkers to classify closely related diseases
Multi-OMICS Gene ontology enrichment
General additive models for capturing progressive changes
Output integration strategy
Methods under development
Network based patient stratification with SCZ as case study
Approaches to integrate clinical attributes with transcriptomics and interactomics (network),
with Inflammatory skin diseases, Collaboration partner: Dermatology Clinic, Munich

7. Pillar III - Workplan

8. Translational Systems Biology
Biomarker Identification
Quaranta et. al. Sci. Tran. Med. 2014

9. Translational Systems Biology
Biomarker Identification
Difficult case
Quaranta et. al. Sci. Tran. Med. 2014

10. Translational Systems Biology
Biomarker Identification
Difficult case
Gene based classifier (Machine learning)
Quaranta et. al. Sci. Tran. Med. 2014

11. Dynamics study of progressive changes
Birth
HFD
Time point (weeks)
0 (W4) 8 12 16 20 30
Pillar I
Pillar II 26
Pillar III RD

12. Dynamics study of progressive changes
Birth
HFD
Time point (weeks)
0 (W4) 8 12 16 20 30
Pillar I
Pillar II 26
Pillar III RD
Mueller et. al

13. Dynamics study of progressive changes
Mueller et. al

14. Dynamics study of progressive changes
Mueller et. al

15. Multi-Omics Gene Ontology Enrichment

16. Multi-Omics Gene Ontology Enrichment

17. Output integration platform
Preusse et. al

18. Output integration platform
Preusse et. al

19. Output integration platform
Preusse et. al

20. Output integration platform
Preusse et. al

21. How CAN we contribute? Methods already developed
Biomarkers to classify closely related diseases
Multi-OMICS Gene ontology enrichment
General additive models for capturing progressive changes
Output integration strategy
Methods under development
Network based patient stratification with SCZ as case study
Approaches to integrate clinical attributes with transcriptomics and interactomics (network),
with Inflammatory skin diseases, Collaboration partner: Dermatology Clinic, Munich

22. Acknowledgements
Thank you!
Questions?