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Biochem Mol biol J
ISSN: 2471-8084
Volume 3, Issue 2
Metabolomics Conference 2017
August 29-30, 2017 Prague, Czech Republic
9th International Conference and Exhibition on
Metabolomics and Systems Biology
Notes:
Page 22
Metabolic systems analysis with multi-omics
data
Fumiko Matsuzaki
Kyushu University, Japan
Advances in omics technologies have enabled us to
measure a large number and variety of molecular
components of cells. This should enormously assist in
our understanding of complex biological phenomena and
the improvement of more quantitative omics methods
will accelerate this understanding. However, effective
ways to take advantage of such data have not yet been
developed. A need exists for an analytic methodology
to extract biological characteristics, as well as for more
sophisticated quantification methods to advance our
understanding of how organisms achieve highly regulated
systems. In our current research, we have developed a
new technology termedin vitro proteome–assistedmultiple
reactions monitoring for protein absolute quantification
(iMPAQT) to measure the absolute quantities of all
human proteins. With the use of iMPAQT, we have
measured the absolute quantities of almost all metabolic
enzymes in human cells and uncovered the weights of
each node in human metabolic networks. In addition,
we have developed a new computational method based
on biochemical systems theory to integrate the absolute
quantities of metabolic enzymes, as well as those of
metabolites measured by metabolomics, experimentally
available fluxes and metabolic network structure. It is
now possible to estimate each flux, calculate sensitivities
of fluxes and metabolite concentrations with respect
to the concentration of each enzyme, and simulate
metabolite concentrations under some perturbations. In
order to extend the combined approach of large scale
quantification and computational analysis, in our institute
we have set up the Research Center for Transomics
Medicine, where proteome, transcriptome, metabolome
and other omes can be measured. Furthermore, we are
now attempting to integrate multi-omics data and analyze
insulin action on metabolism in the liver as a pilot study.
We expect that a further development of this approach
will lead to comprehensive understanding of how the
metabolic network system or various biological systems
are regulated and will establish a new leading edge of
modern biology.
Biography
Fumiko Matsuzaki is a Molecular and Systems Biologist with a PhD in Medical
Science from Kyushu University, Japan. Her work has involved proteomics,
metabolomics and molecular and biochemical approaches to the investigation
of cancer metabolism, xenobiotic metabolism and membrane trafficking.
Recent developments in omics technologies led her to start computational
work with bioinformatics and mathematical approaches to take advantage of
omics data. She aims to deliver practical methods to decipher complicated
biological systems.
Fumiko Matsuzaki, Biochem Mol biol J, 3:2
DOI: 10.21767/2471-8084-C1-002