Precision Medicine will need to get out of the pharma silo that is based on symptoms


Welcome to the digital era of biology (and to this modest blog I started in early 2005).

To cure many diseases, like cancer or cystic fibrosis, we will need to target genes (mutations, for ex.), not organs! I am convinced that the future of replacement medicine (organ transplant) is genomics (the science of the human genome). In 10 years we will be replacing (modifying) genes; not organs!


Anticipating the $100 genome era and the P4™ medicine revolution. P4 Medicine (Predictive, Personalized, Preventive, & Participatory): Catalyzing a Revolution from Reactive to Proactive Medicine.


After low-cost airlines (Ryanair, Easyjet ...) comes "low-cost" participatory medicine. Some of my readers have recently christened this long-lasting, clumsy attempt at e-writing of mine "THE LOW-COSTE INNOVATION BLOG". I am an
early adopter of scientific MOOCs. My name's Catherine Coste. I've earned myself four MIT digital diplomas: 7.00x, 7.28x1, 7.28.x2 and 7QBWx. Instructor of 7.00x: Eric Lander PhD.

Upcoming books: Doomsdare, a medical thriller (action taking place in Beijing) Fall 2016; Jesus CRISPR Superstar, a sci-fi -- French title: La Passion du CRISPR (2017). Special thanks to Prof. Emmanuel Lincot, lawyer David Kilgour and Isabelle Provost for their help.

I love Genomics. Would you rather donate your data, or... your vital organs?

Audio files on this blog are Windows files ; if you have a Mac, you might want to use VLC (http://www.videolan.org) to read them.

Concernant les fichiers son ou audio (audio files) sur ce blog : ce sont des fichiers Windows ; pour les lire sur Mac, il faut les ouvrir avec VLC (http://www.videolan.org).


On RNA Sequencing

http://www.broadinstitute.org/news/1511
"There is an interesting post on RNA-seq by Dave Delano on Illumina’s blog.
Always impressed by the performances of the combination of sample preparation chemistry and instrument output:
'…using Rapid Run mode on the HiSeq 2500, one can run as many as 24 samples at 25 million paired-end 75 basepair reads (50 million total reads) per sample – a depth and format at which published studies have reported the detection of novel features such as gene fusions and alternative transcripts – in less than 24 hours and in a single run.'
Always frustrated that people forget to mention the time and effort necessary to analyze the results."

http://pgandyou.wordpress.com/2013/10/02/rna-seq/

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