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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 19
Metabolomics on mouse models of disease
for personalized medicine
Preeti Bais
The Jackson Laboratory for Genomic Medicine, USA
M
etabolomics is a newer omics technology that can
help in generating a more comprehensive view of
a biological system when combined with the genomic,
transcriptomic and proteomic technologies. In this
seminar, I will discuss the bioinformatics infrastructure
that we have developed at Jackson Laboratory to perform
mass spectrometry based metabolomics experiments on
mouse based studies. I will highlight some case studies
where I have used metabolomics in mouse models of
neuromuscular degeneration and patient derived xenograft
(PDX) for cancer studies and personalized medicine.
Charcot-Marie-Tooth (CMT) disease encompasses a
genetically heterogeneous class of heritable motor and
sensory neuropathies that result in axonal degeneration in
the peripheral nervous system. Charcot-Marie-Tooth type
2D (CMT2D) is caused by dominant mutations in Glycyl
tRNA Synthetase (GARS). Samples from the spinal cord
of GARS mutant mice and littermate control animals were
compared using mass spectrometry based metabolomics.
The changes associated with GARS mutations suggested
possible treatment strategies through supplementation.
In another case study, Gas Chromatography Mass
Spectrometry (GCMS) based analysis was used to
derive a metabolic signature of triple negative breast
cancer (TNBC) by comparing the metabolites present
in three study arms of patient-derived xenograft (PDX)
mouse urine. This analysis not only suggested metabolic
uniformity of the JAX mice but also showed cancer
specific changes in the vehicle (tumor with no treatment)
arm, known drug side effects in the treatment arm (tumor
engrafted and treated) and the age related changes in the
pure (no tumor no treatment) arm.
Biography
Preeti Bais is a Scientist at Jackson Lab’s new research institute- JAX
Genomics Medicine (JGM). It is an independent, nonprofit organization
focusing on mammalian genetics research to advance human health. She
holds a PhD degree in Bioinformatics and Computational Biology. She has
worked on projects involving metabolomics analysis of Human Embryonic
Stem (hES) and Induced Pluripotent Stem (IPS) cells based assays for drug
toxicity screening, autism biomarker detection using blood samples, mouse
models of neuromuscular degeneration and cancer drug efficacy testing using
orthotropic mouse models triple negative breast cancer.
preeti.bais@jax.orgPreeti Bais, Biochem Mol biol J, 3:2
DOI: 10.21767/2471-8084-C1-002