Simpler Genome Sequencing
A Massachusetts startup called Noblegen is developing a simplified version of nanopore genome-sequencing technology—a technique that promises high speed and low costs but that usually requires complex instruments to carry out. Noblegen, founded last spring, says its technology’s ability to directly and rapidly read DNA sequences could make it economically feasible to bring sequencing technology into clinical labs to diagnose cancer and other diseases.
Noblegen CEO Frank Feist says the company’s goal is to sequence at a rate of 1000 bases per second. The company won’t divulge details of its current prototypes, but says the technology could be scaled up to arrays of 400 by 400 nanopores that sequence over 500 gigabases an hour—or about one genome, covered 30 times, in 15 minutes.
Today, it takes about a month and $10,000 to $40,000 to sequence a human genome. The “next generation” sequencing technologies offered by companies including Illumina and Pacific Biosciences have come a very long way, says Jeffery Schloss, program director for technology development at the National Human Genome Research Institute, but “they leave a fair amount to be desired.” These technologies vary, but in general, they require complex instrumentation. There are also limits on the length of the sequences they can read, and they don’t read those sequences directly. This affects both the amount of time it takes to put the sequence together and the quality of the data.
For over a decade, researchers have been working on nanopore sequencing, which could eliminate these problems by directly reading off the sequence of long, unprocessed strands of DNA. The principle is to identify each base in the sequence as the molecule is threaded through a nanoscale hole (or nanopore) outfitted with a sensor.
But integrating all the parts and making them work has been challenging. For example, some systems read out the bases by sensing their electrical field; this requires a processing circuit for each nanopore, and integrating large arrays of such systems is complex. One company, Oxford Nanopore, claims to have fully developed such a system, but has not named any product launch dates.
Noblegen uses optical imaging to identify the bases. This adds a step at the beginning, but the trade-off is that the instrumentation needed for imaging is much simpler. First, the Noblegen researchers convert genomic DNA into a synthetic version that’s labeled with four different fluorescent dyes, one for each type of base. Each base in the original sequence is represented by one fluorescently labeled segment in the synthetic one.
The synthetic sequences are then directly read out by Noblegen’s relatively simple instrument. It’s based on a silicon chip that’s drilled to create pores just a few nanometers in diameter; the chip is illuminated by an inexpensive laser. The long synthetic molecules, which are charged, are pulled through the hole by electrostatic forces. But they can’t move too quickly, because the fluorescent labels are too big to fit through the pore. As the DNA moves through the pore one segment at a time, the labels pop off, creating a flash of light. This light is imaged by a simple CMOS sensor like the one in a digital camera.
Feist says Noblegen’s goal is to aggressively drive down the cost and increase the speed of sequencing whole genomes to a point where it makes economic sense for hospital labs in the next three or four years. “We want to deliver whole genome sequencing in the [hospital] lab within the financial constraints of the health-care system,” he says.
The Boston University lab of Amit Meller, whose technology NobleGen has licensed, received $4.2 million in funding from the National Human Genome Research Institute last September. Feist says that comes on top of $4.1m in funding that Prof. Meller has received since 2001 which has gone into developing the nanopore consumable and instrumentation. He adds that the company will need another $15 million to develop an industrial-scale prototype.
The inside story of how ChatGPT was built from the people who made it
Exclusive conversations that take us behind the scenes of a cultural phenomenon.
How Rust went from a side project to the world’s most-loved programming language
For decades, coders wrote critical systems in C and C++. Now they turn to Rust.
Design thinking was supposed to fix the world. Where did it go wrong?
An approach that promised to democratize design may have done the opposite.
Sam Altman invested $180 million into a company trying to delay death
Can anti-aging breakthroughs add 10 healthy years to the human life span? The CEO of OpenAI is paying to find out.
Get the latest updates from
MIT Technology Review
Discover special offers, top stories, upcoming events, and more.