[Editors] MIT's molecular sieve advances protein research
Elizabeth Thomson
thomson at MIT.EDU
Wed Sep 13 11:59:15 EDT 2006
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MIT's molecular sieve advances protein research
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For Immediate Release
WEDNESDAY, SEP. 13, 2006
Contact: Elizabeth A. Thomson
Phone: 617-258-5402
Email: thomson at mit.edu
IMAGE AVAILABLE
CAMBRIDGE, Mass.--New MIT technology promises to speed up the
accurate sorting of proteins, work that may ultimately aid in the
detection and treatment of disease.
Separating proteins from complex biological fluids such as blood is
becoming increasingly important for understanding diseases and
developing new treatments. The molecular sieve developed by MIT
engineers is more precise than conventional methods and has the
potential to be much faster.
The team's results appear in recent issues of Physical Review
Letters, the Virtual Journal of Biological Physical Research and the
Virtual Journal of Nanoscale Science and Technology.
The key to the molecular sieve, which is made using microfabrication
technology, is the uniform size of the nanopores through which
proteins are separated from biological fluids. Millions of pores can
be spread across a microchip the size of a thumbnail.
The sieve makes it possible to screen proteins by specific size and shape.
In contrast, the current technique used for separating proteins, gel
electrophoresis, is time-consuming and less predictable. Pore sizes
in the gels vary, and the process itself is not well understood by
scientists.
"No one has been able to measure the gel pore sizes accurately," said
Jongyoon Han, the Karl Van Tassel Associate Professor of Electrical
Engineering and Biological Engineering at MIT. "With our nanopore
system, we control the pore size precisely, so we can control the
sieving process of the protein molecules."
That, in turn, means proteins can be separated more efficiently,
which should help scientists learn more about these crucial
molecules, said Han, who also has appointments in MIT's Research
Laboratory of Electronics, Computational and Systems Biology
Initiative, Center for Materials Science and Engineering and
Microsystems Technology Laboratories.
Han and his team, led by Jianping Fu, a graduate student in the
Department of Mechanical Engineering, have devised a sieve that is
embedded into a silicon chip. A biological sample containing proteins
is put through the sieve for separation.
The sieving process is based on a theoretical model known as the
Ogston sieving mechanism. In the model, proteins move through deep
and shallow regions that act together to form energy barriers. These
barriers separate proteins by size. The smaller proteins go through
more quickly, followed by increasingly larger proteins, with the
largest passing through last.
Once the proteins are separated, scientists can isolate and capture
the proteins of interest. These include the "biomarker" proteins that
are present when the body has a disease. By studying changes in these
biomarkers, researchers can identify disease early on, even before
symptoms show up, and potentially develop new treatments.
To date, the Ogston sieving model has been used to explain gel
electrophoresis, even though no one has been able to unequivocally
confirm this model in gel-based experiments. The MIT researchers
were, however, able to confirm Ogston sieving in the nanopore sieves.
"This is the first time anyone was able to experimentally confirm
this theoretical idea behind molecular sieving, which has been used
for more than 50 years," Han said. "We can precisely control the pore
size, so we can do better engineering. We can change the pore shape
and engineer a better separation system." The sieve structure is
based on work Han did earlier at Cornell University with large
strands of DNA.
The performance of the researchers' current one-dimensional sieves
matches the state-of-the-art speed of one-dimensional gels, but Han
said the sieve's performance can be improved greatly.
"This device can replace gels and give us an ideal physical platform
to investigate Ogston sieving," Fu said. The new sieves also
potentially could be used to replace 2D gels in the process of
discovering disease biomarkers, as well as to learn more about
disease.
Juhwan Yoo, a Caltech undergraduate, also participated in the
research as a summer visiting student. Funding came from the National
Science Foundation, the National Institutes of Health and the
Singapore-MIT Alliance.
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