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Presentation transcript:

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, 16-17.05.2017

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

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

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

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

Pillar III - Workplan

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

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

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

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

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

Dynamics study of progressive changes Mueller et. al

Dynamics study of progressive changes Mueller et. al

Multi-Omics Gene Ontology Enrichment

Multi-Omics Gene Ontology Enrichment http://mips.helmholtz-muenchen.de/mona/

Output integration platform Preusse et. al

Output integration platform Preusse et. al

Output integration platform Preusse et. al

Output integration platform Preusse et. al

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

Acknowledgements Thank you! Questions?