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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

9

th

International Conference and Exhibition on

Metabolomics and Systems Biology

Notes:

Page 22

Metabolic systems analysis with multi-omics

data

Fumiko Matsuzaki

Kyushu University, Japan

A

dvances 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 termed

in 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.

[email protected]

Fumiko Matsuzaki, Biochem Mol biol J, 3:2

DOI: 10.21767/2471-8084-C1-002