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New Tech Promises Cheap Gene Sequencing In Minutes
Zothecula writes "Sequencing an entire genome is currently a highly complex, time-consuming process – the DNA must be broken down into segments and replicated, utilizing chemicals that destroy the original sample. Scientists from Imperial College London, however, have just announced the development of a prototype device that could lead to technology capable of sequencing a human genome within minutes, at a cost of just a few dollars. By contrast, when sequencing of the genome of Dr. James Watson (co-discoverer of the structure of DNA) was completed in 2007, it had taken two years and cost US$1 million."
No, but it can identify the gene for compulsive behaviour.
If libertarians are so opposed to effective government, why don't they all move to Somalia?
I can't get too enthused about a prototype of something that might one day lead to another prototype, "up to ten years away".
But the article in the sidebar titled "Breakthrough raises possibility of genetic children for same-sex couples" is at least amusingly illustrated with a picture of Bert and Ernie.
You know what they say... In Space, no one can hear you complain about Science Fiction.
It drives me nuts when the popular media article doesn't include a citation back to the original research. Here's a link to the article on the Nano Letters website: http://pubs.acs.org/doi/full/10.1021/nl103873a
Ignoring any one specific advance in technology, the cost per base pair of sequencing DNA has dropping exponentially. The cost to sequence an entire human genome has gone from billions of dollars in 1990 to about $40,000 in 2010. By 2015, it will probably cross the $1000 barrier.
By 2020, it will likely be under $100 - at which point it might as well be a standard part of a person's medical file.
By 2030, it could under $1 - amateur biologists could start collecting genomes like poleroids while hiking.
By 2040, it could be a fraction of penny - cough on a sensor, get a readout of all the microbes in your lungs, what strain they are and, by looking at the specific mutations between generations and comparing to a database of everyone else's microbes, the likely person who infected you.