Multiomics data integration for predictions of metabolic phenotypes

Apr
10
2018

Analytica Conference > GBM / Room 2 > Multiomics

10. Apr 2018
10:00-10:30 h  |  ICM - Internationales Congress Center München Room 2

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Subjects: 

Biotechnology & Life Sciences

|

Medicine/public health

Speaker: 

Prof. Aleksej Zelezniak 

Type:
Lecture
Speech: English

The cellular metabolome represents a major obstacle in predicting phenotype from
genotype. Metabolic flux indeed seems poorly correlated with gene expression, but
instead is well explained by metabolite concentrations, which would suggest that
metabolism is largely "self-regulated". But how is a self-regulatory metabolic network
compatible with the importance of well-known metabolism regulatory transcription
factors and signaling kinases? Using a high-throughput implementation of
SWATH-MS, we recorded precise quantitative proteomes in S. cerevisiae gene
deletion strains. All proteomes of kinase knock-outs did reveal quantitatively strong
changes in enzyme abundance. Kinase-dependent enzyme expression signatures
were specific, non-redundant and affected metabolite concentrations through the
redistribution of metabolic control between different sets of enzymes. Machine learning
successfully identified enzyme expression patterns that underlie the regulation of
metabolism and enabled the quantitative predictions of metabolite pools at the scale of
the metabolic network. Our study reveals that enzyme abundance, next to
phosphorylation itself, depends on the kinome in its entirety. Enzyme abundance is
coordinately regulated at the system scale, and in this way controls the metabolite
pools which are crucial for the self-regulation of metabolism. By predicting complex
metabolomes, our results further show that data-driven biology applied to systematic
datasets can overcome the genotype-phenotype problem.

Speaker
Prof. Aleksej Zelezniak Show Profile

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Apr
10
2018

Analytica Conference > GBM / Room 2 > Multiomics

Multiomics Identifies Mechanism of Dietary Response

10. Apr 2018
11:30-12:00 h  |  ICM - Internationales Congress Center München Room 2
Speaker: Dr. Andrej Shevchenko

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Apr
10
2018

Analytica Conference > GBM / Room 2 > Multiomics

Omics data as patterns on biological networks

10. Apr 2018
10:30-11:00 h  |  ICM - Internationales Congress Center München Room 2
Speaker: Prof. Dr. Marc-Thorsten Hütt (Jacobs University,)

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Apr
10
2018

Analytica Conference > GBM / Room 2 > Multiomics

A systems view of germfree mice reveals that gut microbiota promotes hepatic fatty acid desaturation and elongation

10. Apr 2018
13:30-14:00 h  |  ICM - Internationales Congress Center München Room 2
Speaker: Dr. Josef Ecker (Technische Universität München)

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Apr
10
2018

Analytica Conference > GBM / Room 2 > Multiomics

Discussion

10. Apr 2018
14:00-14:30 h  |  ICM - Internationales Congress Center München Room 2

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Apr
10
2018

Analytica Conference > GBM / Room 2 > Multiomics

Multi-omics analysis reveals circadian regulation of whole-body lipid metabolism

10. Apr 2018
11:00-11:30 h  |  ICM - Internationales Congress Center München Room 2
Speaker: Prof. Christer Ejsing

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