Team:MIT/Motivation
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<ul> | <ul> | ||
<li type=circle><b>No need for specialized parts.</b> | <li type=circle><b>No need for specialized parts.</b> | ||
- | We can design circuit parts from the ground up instead of searching for suitable orthogonal proteins. | + | <br>We can design circuit parts from the ground up instead of searching for suitable orthogonal proteins. |
<li type=circle><b>Large combinatorial space.</b> | <li type=circle><b>Large combinatorial space.</b> | ||
- | We can generate and iterate unlimited parts and filter for constraints, such as percentage of Cs or Gs. | + | <br>We can generate and iterate unlimited parts and filter for constraints, such as percentage of Cs or Gs. |
<li type=circle><b>Minimal metabolic load.</b> | <li type=circle><b>Minimal metabolic load.</b> | ||
- | Nucleic acid parts are fully functional and do not need to be translated into proteins. | + | <br>Nucleic acid parts are fully functional and do not need to be translated into proteins. |
<li type=circle><b>Much smaller nucleotide footprint.</b> | <li type=circle><b>Much smaller nucleotide footprint.</b> | ||
- | RNA parts require much fewer bases than the mRNAs coding for protein parts. | + | <br>RNA parts require much fewer bases than the mRNAs coding for protein parts. |
<li type=circle><b>Direct interfacing with mRNA, miRNA, etc.</b> | <li type=circle><b>Direct interfacing with mRNA, miRNA, etc.</b> | ||
- | The use of mammalian cells provides us with access to various levels of regulation, such as the RNA-interference pathway. | + | <br>The use of mammalian cells provides us with access to various levels of regulation, such as the RNA-interference pathway. |
- | <p> | + | <p>One potential synthetic biology application of our system is <b>detection of cancer state in mammalian cells.</b> </p> |
<p>You can imagine the first step, a cancer cell sensor, can be achieved by creating an mRNA sensor. The state of the art circuit with this function, (1 Multi-Input RNAi-Based Logic Circuit for Identification of Specific Cancer Cells. Xie et al. Science 2011) requires at least five composite parts for sensing high and low mRNA concentrations. The next part would need to process information from these five separate inputs, invert some of it, and send a signal to up regulate fluorescent protein production. This would require another set of promoters for each sensed mRNA and a repression system to produce the correct logic. The last step would be the induced expression of the signal protein; another unique promoter and protein pairing.</p><p>We'll compare traditional, promoter-based synbio logic with a novel strategy from the field of DNA computing: strand displacement. | <p>You can imagine the first step, a cancer cell sensor, can be achieved by creating an mRNA sensor. The state of the art circuit with this function, (1 Multi-Input RNAi-Based Logic Circuit for Identification of Specific Cancer Cells. Xie et al. Science 2011) requires at least five composite parts for sensing high and low mRNA concentrations. The next part would need to process information from these five separate inputs, invert some of it, and send a signal to up regulate fluorescent protein production. This would require another set of promoters for each sensed mRNA and a repression system to produce the correct logic. The last step would be the induced expression of the signal protein; another unique promoter and protein pairing.</p><p>We'll compare traditional, promoter-based synbio logic with a novel strategy from the field of DNA computing: strand displacement. | ||
</p> | </p> |
Revision as of 02:53, 3 October 2012
Motivation
Our project aims to combine the modular parts of synthetic biology with the exponential growth in
Nucleic-acid based circuitry has several advantages over traditional transcription-based topologies:
- No need for specialized parts.
We can design circuit parts from the ground up instead of searching for suitable orthogonal proteins. - Large combinatorial space.
We can generate and iterate unlimited parts and filter for constraints, such as percentage of Cs or Gs. - Minimal metabolic load.
Nucleic acid parts are fully functional and do not need to be translated into proteins. - Much smaller nucleotide footprint.
RNA parts require much fewer bases than the mRNAs coding for protein parts. - Direct interfacing with mRNA, miRNA, etc.
The use of mammalian cells provides us with access to various levels of regulation, such as the RNA-interference pathway.One potential synthetic biology application of our system is detection of cancer state in mammalian cells.
You can imagine the first step, a cancer cell sensor, can be achieved by creating an mRNA sensor. The state of the art circuit with this function, (1 Multi-Input RNAi-Based Logic Circuit for Identification of Specific Cancer Cells. Xie et al. Science 2011) requires at least five composite parts for sensing high and low mRNA concentrations. The next part would need to process information from these five separate inputs, invert some of it, and send a signal to up regulate fluorescent protein production. This would require another set of promoters for each sensed mRNA and a repression system to produce the correct logic. The last step would be the induced expression of the signal protein; another unique promoter and protein pairing.
We'll compare traditional, promoter-based synbio logic with a novel strategy from the field of DNA computing: strand displacement.
Parts required (see below for explanation):
- 5 input sensor modules
- 5 processor modules (one for each input)
- 1 actuation module
Promoter-based logic
Maximum number of promoters found in published synbio circuits, over time.Strand displacement-based logic
Maximum number of gates found in published strand displacement-like systems, over time.Promoter-protein pairs required: 11 (one for each module)
Max achieved in literature: 6Strands of nucleic acid required: 80 Size of each promoter-protein pair: ~1,600 bp Length of each strand: ~40 bp Total size of circuit: ~17,600 bp Total size of circuit: ~3,200 bp