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Team:UCSF/Synthetic Chromatin Properties
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<p align="justify">Transcriptional activators and repressors, the mainstays of current synthetic genetic circuits, work at the level of the promoter by affecting the recruitment of the basal transcription machinery. The eukaryotic cell, however, has an additional mechanism to regulate gene expression: chromatin (gene silencing). Chromatin-based gene regulation has a number of interesting properties in vivo. We reasoned that it might be a powerful tool for synthetic biology. Therefore, we spent the summer developing a synthetic chromatin system, and demonstrating its unique features .</p><br><br></br></br> | <p align="justify">Transcriptional activators and repressors, the mainstays of current synthetic genetic circuits, work at the level of the promoter by affecting the recruitment of the basal transcription machinery. The eukaryotic cell, however, has an additional mechanism to regulate gene expression: chromatin (gene silencing). Chromatin-based gene regulation has a number of interesting properties in vivo. We reasoned that it might be a powerful tool for synthetic biology. Therefore, we spent the summer developing a synthetic chromatin system, and demonstrating its unique features .</p><br><br></br></br> | ||
<h2 align="justify">Analysis of our Data</h2> | <h2 align="justify">Analysis of our Data</h2> | ||
| - | <p align="justify">Single-cell analysis was done using flow-cytometry. Flow cytometry measurements were taken using a BD LSR-II flow cytometer (BD Biosciences). For each sample, 10,000 cells were counted, and GFP fluorescence was measured by exciting at 488 nm with a 100 mW Coherent Sapphire laser. Cells that were positive for GFP are seen in the microscope images on the lower right panel and their predicted population distribution is shown in the green curve in the ficticious graph in the left (below).</p> | + | <p align="justify">Single-cell analysis was done using flow-cytometry. Flow cytometry measurements were taken using a BD LSR-II flow cytometer (BD Biosciences). For each sample, 10,000 cells were counted, and GFP fluorescence was measured by exciting at 488 nm with a 100 mW Coherent Sapphire laser. Cells that were positive for GFP are seen in the microscope images on the lower right panel and their predicted population distribution is shown in the green curve in the ficticious graph in the left (below).</p><br></br> |
<p align="center"><img src="https://static.igem.org/mediawiki/2008/2/2b/Analysis_data.jpg" width="750" height="458" /></p> | <p align="center"><img src="https://static.igem.org/mediawiki/2008/2/2b/Analysis_data.jpg" width="750" height="458" /></p> | ||
<p align="justify"> </p><br><br></br></br> | <p align="justify"> </p><br><br></br></br> | ||
Revision as of 23:44, 29 October 2008
Design of our System (previous)
Synthetic Chromatin Bit (Part II)
Why use Chromatin as a Tool for Synthetic Biology?
Transcriptional activators and repressors, the mainstays of current synthetic genetic circuits, work at the level of the promoter by affecting the recruitment of the basal transcription machinery. The eukaryotic cell, however, has an additional mechanism to regulate gene expression: chromatin (gene silencing). Chromatin-based gene regulation has a number of interesting properties in vivo. We reasoned that it might be a powerful tool for synthetic biology. Therefore, we spent the summer developing a synthetic chromatin system, and demonstrating its unique features .
Analysis of our Data
Single-cell analysis was done using flow-cytometry. Flow cytometry measurements were taken using a BD LSR-II flow cytometer (BD Biosciences). For each sample, 10,000 cells were counted, and GFP fluorescence was measured by exciting at 488 nm with a 100 mW Coherent Sapphire laser. Cells that were positive for GFP are seen in the microscope images on the lower right panel and their predicted population distribution is shown in the green curve in the ficticious graph in the left (below).
The Properties of Our Synthetic Chromatin Bit
We studied how our yeast synthetic chromatin system behaves...
1. Targeting of Sir2 leads to complete silencing of reporter
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RESULT 1:
Similar results were obtained for other promoters (e.g. Fig1 P, see below).
2. Dominant over Transcription Factors
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RESULT 2:
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3. Regional Silencing
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RESULT 3:
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4. Spread of Silencing
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RESULT 4:
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5. Binary
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RESULT 5:
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6. Memory
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RESULT 6:
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