Team:Paris Bettencourt/Project/Odor Library
From 2014.igem.org
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<td><b>RESULTS</b></br><br> | <td><b>RESULTS</b></br><br> | ||
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Revision as of 21:17, 14 October 2014
BACKGROUND Lorem ipsum dolor sit amet, consectetur adipiscing elit. Cras elementum mauris interdum lacus venenatis aliquet. In ac nulla semper, convallis orci non, vestibulum nisi. Maecenas quis ultricies tellus. Sed vulputate tempor ultrices. |
AIMS Lorem ipsum dolor sit amet, consectetur adipiscing elit. Cras elementum mauris interdum lacus venenatis aliquet. In ac nulla semper, convallis orci non, vestibulum nisi. Maecenas quis ultricies tellus. Sed vulputate tempor ultrices.. |
RESULTS Lorem ipsum dolor sit amet, consectetur adipiscing elit. Cras elementum mauris interdum lacus venenatis aliquet. In ac nulla semper, convallis orci non, vestibulum nisi. Maecenas quis ultricies tellus. Sed vulputate tempor ultrices. |
Part1 | Part2 | Part3 | Part4 | Part5 |
Introduction
There are complex relations among the stereochemistry of volatile compounds, their ratio within a particular mix, the amount of active olfactory receptors expressed in the smeller, as well as the distribution, and interaction of the different olfactory receptor neurons (ORNs). Odors spark neurochemical signals that are processed in different areas of the brain; they trigger complex cognitive processes that affect emotional responses such as motivation and memory. Although the precise molecular mechanisms behind odor perception have not been fully understood, there has been significant advance in the biosynthesis of organic volatile compounds using bacterial and fungal systems.
Motivation
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Aims
Here we present the design of an odor palette. It is composed of BioBricks containing coding sequences for different enzymes known to catalyze reactions that yield volatile compounds with characteristic smells. We included smells with different tonalities in order to explore the aromas resulting from different combinations of smelly units. The tonality of each smell is categorized as butter, balminess, citrus, non-citrus fruit and herbal. These cover half of the main odor categories perceivable to human beings.
Results
Proper BioBrick characterization is needed before tinkering with expression levels; the possibility to change ribosomal binding sites according to the desired expression is included in our design. We would also like to develop auto-inducible smelly systems, as well as broaden the available tones in our palette.
References
- ref1- ref2