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Systems
Biology and Systems Medicine
Presentations
by Lee Hood at the Barnett Institute
of Chemical and Biological Analysis
summary
by R.Kautz
photo gallery
Think
of an organism as layered systems of dynamic networks.
Two, for example, are the network of signal transduction
proteins, and the network of transcription factors
turning genes on and off. Both integrate and modulate
the information they receive and transmit. To understand
how any system is more than the sum of its parts,
it is necessary to study it as a whole: "You
could study neurons for 50 years and never get a
clue that anything like 'consciousness' existed".
Three
defining features of systems biology are:
- Global analysis
- Integrating several data types, e.g. transcript
levels and protein levels.
- Reducing millions (or billions) of measurements
to a coherent interpretation (diagnosis)
Finding
Biomarkers
A
significant innovation in Dr. Hoods method
is to first select potential markers that are specific
to an organ of interest that may serve as state-reporter
for the organ, then look for up- and down-regulation
among this set. For example, he found about 300
transcripts that were only expressed in the prostate,
and a subset of these showed differences between
cell lines representative of early- and late- stage
prostate cancer. An antibody was made against one
of these, and used to compare its levels in sera
of early and late-stage prostate cancer patients,
and control patients. Out of 10 patients in each
group, the new marker was seen in 5 each of the
PC patients, and none of the controls. For comparison,
PSA was seen in 0 control, 0 early-stage, and 7
late-stage PC patients. The combination of the two
markers had better selectivity and specificity than
either alone, and clearly more would be better.
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A more detailed example was shown of prion disease.
Comparing transcript levels in unaffected, early-stage
and late-stage disease, correlating across four
strains of mice and using GO analysis, produced
a time-series of network diagrams relating the
varied pathophysiologic responses. One protein
in particular, C3, showed increased transcript
levels early in disease development (before
onset of symptoms) and is predicted to be available
in blood. |
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Systems Medicine: the Nanolab
Dr.
Hoods vision is to characterize 10 - 50 of
these organ-specific state-reporters
for each of 56 organ systems, then to establish
a standard test for the resulting 500 - 2500 serum
biomarkers.
Promising
results were shown towards a microfluidic device
capable of such a test. Jim Heath makes parallel
nanowire arrays, functionalized with a capture agent
(Ab's or nucleic acids). Ligand binding changes
capacitance, proportionally to concentration of
ligand. Heath has shown dynamic range of 106, and
successful detection in physiologic salt concentrations.
Capture agents might be made using click chemistry,
where good antibodies could not be generated.
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The Nanolab is an envisioned TAS chip, which
would include microfluidic processing of a drop
of blood from a finger-stick, electrophysiology
measurements on single cells, and the ability
to lyse the cells contents onto a nanowire array,
as well as cantilever nanomechanical sensors
for studying protein-protein or protein-ligand
interactions. |
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The Four P's of Systems Medicine
Predictive:
The 2000-biomarker test, combined with the patients
genome sequence, would provide early detection for
most diseases, or an assurance of health.
Preventive:
In addition to therapeutic drugs, we will have preventive
drugs for diseases you don't have yet. Drugs may
be prescribed not by diseases, but by protein target,
including a personal assessment of off-target hits
(side effects).
Personalized: Only 6 million nucleotides are
different between individuals, easily catalogued
in individuals medical genome record. Treatment
will be individualized; and will focus more on maintaining
wellness than on ameliorating disease as medicine
advances.
Participatory: Because more complete knowledge
provides clearer diagnoses, and outcomes are more
well-understood, the patient can understand and
make medical choices that now require experts.
Predictions of the Future
Looking at a roadmap of the steps necessary to realize
this vision, it is clear that it cannot be done
by RO1 science alone, but will require strategic
partnerships between academic, government, and commercial
efforts.
P4 medicine will be cheap, and available to the
entire world.
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