Nanotransistor Boosts Sensitivity of Gene Sequencer

New approach could hasten cheap DNA sequencing

3 min read

20 December 2011—Researchers dream of being able to sequence anybody’s genome for less than US $1000, ushering in a new age of personalized medicine where treatments can be tailored to a patient’s particular genetic makeup. One of the candidate technologies to achieve that dream is ”nanopore sequencing,” and researchers at Harvard say they’ve taken a big step toward making the technology work.

In nanopore sequencing, an electric field pulls ions in the water and strands of DNA through a minuscule protein hole or a hole in a solid-state membrane. Because the pore is not much wider than the DNA strand, when a strand passes through the amount of ionic current is altered. Each of the four nucleic acids in DNA—G, T, C, and A—whose sequence spells out the code for a living thing—can be identified by its distinct effect on the current.

But the current in question is very small, measured in picoamps. And the DNA passes through the pore at such a rapid clip that electronics have a difficult time distinguishing such a small signal in so short a time. One approach has been to try to slow the speed at which the DNA passes, but that’s an imperfect solution.

The Harvard team, part of chemistry professor Charles Lieber’s laboratory, took a different path—boosting the signal. Their device, described in the online version of Nature Nanotechnology this month, consists of a chip that holds a field-effect transistor built from silicon nanowire and placed on a membrane made of silicon nitride. The pore is a small hole through both the nanowire and the membrane. As is typical in nanopore chips, a small chamber on each side of the membrane holds a solution of potassium chloride in which the DNA strand floats. But in most systems, the concentration of solution is the same on both sides of the membrane. In Harvard’s chip, the solution on the transistor side is just 1 percent the concentration of the solution on the other side.

Instead of measuring a change in current caused by a passing bit of DNA, the chip measures the conductance of the nanowire transistor near the nanopore, which is proportional to the current and voltage. The lower concentration of ions on the transistor side of the membrane produces a localized distribution of voltage around the pore opening, which controls a large current passing through the nearby transistor and thus magnifies the signal. Ping Xie, a postdoctoral researcher in Lieber’s lab, says other nanopore systems have to measure a current signal from tens of picoamps to a few nanoamps. ”Now we can measure tens of nanoamps to hundreds of nanoamps,” he says.

Where other nanopore systems operate at a rate of 10 to 100 kilohertz—not fast enough for DNA moving through the pore at roughly 1 million chemical units, or bases, per second—Xie says the Harvard version should in principle operate at a few gigahertz, far faster than the DNA moves, although they didn’t have the equipment to measure that.

An individual genome is a sequence of about 3 billion nucleic acids, so even at high speeds, sequencing with a single nanopore would take too long. Practical sequencers would have to consist of multiple nanopores. However, in previous nanopore sequencer designs, electrical cross talk would occur between adjacent nanopores unless each one was secluded in its own chamber of solution. The Harvard version relies on the highly localized voltage, which is concentrated within just 30 to 50 nanometers of the opening, preventing cross talk with other nanopores as long as they are at least a few micrometers apart. Xie says the design should allow many nanopores to be grouped together on a single chip with shared solution chambers.

Joshua Edel, a senior lecturer in micro- and nanotechnology at Imperial College London, says the scheme could work. Because it measures conductance, ”ultimately this has the potential to achieve much higher resolution in order to distinguish different DNA bases when compared [with] the ionic current approach,” Edel says.

”I think this is an exciting and promising approach and a great direction to go into,” says Marija Drndic, associate professor of physics at the University of Pennsylvania. Both her group and Lieber’s are separately exploring the replacement of silicon nanowires in nanopore sequencers with graphene nanowires, which should have even higher conductance and therefore produce an even stronger signal.

About the Author

Neil Savage writes about strange semiconductors and amazing optoelectronics from Lowell, Mass. In October 2011 he reported on a laser-powered mechanical memory chip.

 

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This CAD Program Can Design New Organisms

Genetic engineers have a powerful new tool to write and edit DNA code

11 min read
A photo showing machinery in a lab

Foundries such as the Edinburgh Genome Foundry assemble fragments of synthetic DNA and send them to labs for testing in cells.

Edinburgh Genome Foundry, University of Edinburgh

In the next decade, medical science may finally advance cures for some of the most complex diseases that plague humanity. Many diseases are caused by mutations in the human genome, which can either be inherited from our parents (such as in cystic fibrosis), or acquired during life, such as most types of cancer. For some of these conditions, medical researchers have identified the exact mutations that lead to disease; but in many more, they're still seeking answers. And without understanding the cause of a problem, it's pretty tough to find a cure.

We believe that a key enabling technology in this quest is a computer-aided design (CAD) program for genome editing, which our organization is launching this week at the Genome Project-write (GP-write) conference.

With this CAD program, medical researchers will be able to quickly design hundreds of different genomes with any combination of mutations and send the genetic code to a company that manufactures strings of DNA. Those fragments of synthesized DNA can then be sent to a foundry for assembly, and finally to a lab where the designed genomes can be tested in cells. Based on how the cells grow, researchers can use the CAD program to iterate with a new batch of redesigned genomes, sharing data for collaborative efforts. Enabling fast redesign of thousands of variants can only be achieved through automation; at that scale, researchers just might identify the combinations of mutations that are causing genetic diseases. This is the first critical R&D step toward finding cures.

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