BIOTECHNOLOGY
Bendy nanotubes do the twist with target proteins
A TINY
sensor that can reliably detect and identify proteins has been developed
independently by two research teams. Based on a carbon nanotube, it produces a
telltale electrical signal when it encounters a target protein.
Currently,
detecting a particular protein in a mixture of many others is a tricky
affair. Starting with an antibody
to the target protein, you have to attach a marker molecule that emits light
when the antibody binds to the protein.
This is a time-consuming process, and for many proteins it has proved
impossible to find an antibody and marker that work for that protein alone.
So
researchers are on the lookout for better ways to do the job. In 2001, a group
at Harvard University showed that most proteins will bind to ultra-thin metal
wires, changing the wires' conductivity as they do so. That work has now been
built on by two Californian teams: George Grüner and Alexander Star from the
start-up Nanomix and Hongjie Dai and Paul Utz of Stanford University.
Both coat
carbon nanotubes with a polyethylene-based layer laced with molecules that bind
to the target protein. Grüner uses biotin, a small molecule known to bind to
the protein streptavidin; Dai is using an antibody for a protein found in
people with the autoimmune disease lupus.
When the
target protein binds to biotin or the antibody' the polymer sleeve becomes
distorted. This minutely bends the nanotube and causes a current it is carrying
to drop by about 80 per cent.
The teams hope arrays of such sensors reach seeking a different protein, will one day be used by biotech firms to develop ''protein chips”. By detecting particular proteins, these devices could help diagnose illness raid in the discovery of new drugs, and help out in the emerging field of proteomics.
There are many hurdles to jump first. Steven Block, a biologist at Stanford, points out that detecting a strong interaction between biotin and Streptavidin does not mean the sensors can be adapted to detect any protein interaction. The proof will come, he says, when the teams show how selective they are in a complex