Line 4: | Line 4: | ||
<head> | <head> | ||
<style> | <style> | ||
− | + | body { | |
− | + | background-color: #fff ; | |
− | + | font-family: 'PT Sans', sans-serif; | |
− | + | color: black; | |
− | + | font-size:13px; | |
− | + | line-height: 200% | |
− | + | min-width: 600px; | |
− | } | + | margin-top:-7px; |
+ | margin-bottom:-17px; | ||
+ | } | ||
+ | #cover { | ||
+ | width: 800px; | ||
+ | height: 800px; | ||
+ | margin: 0 auto; | ||
+ | } | ||
− | + | #cover > img { | |
− | + | float: left; | |
− | + | border: 2px solid black; | |
− | + | width: 45%; | |
− | + | margin: 1.66%; | |
− | + | } | |
− | + | ||
− | + | ||
− | + | ||
− | + | ||
− | + | ||
− | + | ||
</style> | </style> | ||
Line 42: | Line 44: | ||
<div style='padding-top: 10px;'></div> | <div style='padding-top: 10px;'></div> | ||
− | + | <div id="cover"> | |
− | <div | + | <img src="https://static.igem.org/mediawiki/2018/f/fa/T--UC_Davis--results.jpg"> |
− | < | + | <img src="https://static.igem.org/mediawiki/2018/3/3d/T--UC_Davis--Plate_3_MT1.jpg"> |
− | + | <img src="https://static.igem.org/mediawiki/2018/d/da/T--UC_Davis--44183267_2214913182124481_591897985751711744_n.jpg"> | |
− | < | + | <img src="https://static.igem.org/mediawiki/2018/3/3c/T--UC_Davis--second_MT1_copper_sulfate_graph.jpeg"> |
− | + | ||
− | + | ||
− | + | ||
</div> | </div> | ||
− | + | ||
− | + | <center> | |
− | + | ||
− | + | ||
− | + | ||
− | + | ||
− | + | ||
− | + | ||
− | + | ||
− | + | ||
<div style = 'line-height: 25px' > | <div style = 'line-height: 25px' > | ||
− | Figure 1. | + | Figure 1. The image on the top left corner shows the induction of MT1 construct by H2O2. The image on the top right shows the induction of MT1 construct by CuSo4. |
− | + | the image on the bottom left shows the Michaelis-Menten fit for the induction of MT1 construct by H2O2.the image on the bottom right shows the Michaelis-Menten fit for the induction of MT1 construct by H2O2. | |
− | + | ||
+ | </center> | ||
+ | <div style='padding-top: 50px;'></div> | ||
<div style='padding-left:10%;padding-right: 7%'> | <div style='padding-left:10%;padding-right: 7%'> | ||
Line 116: | Line 108: | ||
<tr> | <tr> | ||
<td class="tg-0lax">Copper sulfate[2]</td> | <td class="tg-0lax">Copper sulfate[2]</td> | ||
− | <td class="tg-0lax">Copper measured at concentration of 19-67 ppm (112uM - 420uM)[ | + | <td class="tg-0lax">Copper measured at concentration of 19-67 ppm (112uM - 420uM)[5]</td> |
<td class="tg-0lax">Relavant dode is <1.3ppm (6.25uM)[4]</td> | <td class="tg-0lax">Relavant dode is <1.3ppm (6.25uM)[4]</td> | ||
<td class="tg-0lax">0.2784 uM</td> | <td class="tg-0lax">0.2784 uM</td> | ||
Line 135: | Line 127: | ||
[4] Nakamura, Jun, et al. “Micromolar Concentrations of Hydrogen Peroxide Induce Oxidative DNA Lesions More Efficiently than Millimolar Concentrations in Mammalian Cells.” Nucleic Acids Research, Oxford University Press, 15 Mar. 2003, www.ncbi.nlm.nih.gov/pmc/articles/PMC152865/. | [4] Nakamura, Jun, et al. “Micromolar Concentrations of Hydrogen Peroxide Induce Oxidative DNA Lesions More Efficiently than Millimolar Concentrations in Mammalian Cells.” Nucleic Acids Research, Oxford University Press, 15 Mar. 2003, www.ncbi.nlm.nih.gov/pmc/articles/PMC152865/. | ||
+ | |||
+ | <p></p> | ||
+ | [5]Eagles-Smith, C.A., and B.L. Johnson, 2012, Contaminants in the Klamath Basin: Historical patterns, current distribution, and data gap identification: U.S. Geological Survey Administrative Report, 88 p. | ||
Revision as of 02:38, 18 October 2018
Results
The goal of our project was to find stress using mammalian synthetic biology. And we found it.
Figure 1. The image on the top left corner shows the induction of MT1 construct by H2O2. The image on the top right shows the induction of MT1 construct by CuSo4.
the image on the bottom left shows the Michaelis-Menten fit for the induction of MT1 construct by H2O2.the image on the bottom right shows the Michaelis-Menten fit for the induction of MT1 construct by H2O2.
iGEM-Footer
From our processed data, we found that Metallothionein 1 (MT1) and Metallothionein 2 (MT2) had high quality induction curves, but MT1 in particular is what we selected as our proof of concept. From the induction curve of copper sulfate against Metallothionein 1, we can see a well defined induction curve. We took this data and fit it into our Michaelis-Menten model of saturation kinetics to determine the sensitivity of our promoter constructs.
From literature review, we found that the relevant cytotoxicological dose for copper sulfate is less than 1.3 parts per million, which is equivalent to 6.25 uM [1].
First, allow us to define some parameters from our model: Kstimulus is our michaelis-menten constant, which for our project is used as a measure of the sensitivity of our promoters. Vmax is the maximum reaction velocity, and in the context of our project, Vmax gives us maximum EGFP expression. Kstimulus is the concentration at which EGFP expression is one half of maximum expression.
From our curve-fit data, we found our Kstimulus value to be 0.2784 uM. This implies that our promoter construct is approximately 400 times more sensitive to the toxin than the threshold of the cytotoxicological limit defined in literature. From our curve fit, we also found that Vmax value occurs at a copper sulfate concentration of 5 uM. As defined by the EPA, the relevant dose is 6.25 uM. Because our Vmax is very close to the EPA defined value, it implies that our promoter operates within the range defined by the EPA to be of interest.
The data that is displayed on the wiki is data that was found twelve hours after induction in the cell line, CHO-DG44.
We also conducted an analysis of our data for our MT2 construct. However, we found that the error was too high, and therefore we determined that it wasn’t sensitive enough at this time, and further experiments are required.
Our transgenic (MT1) mammalian cells proved to be much more sensitive to copper sulfate than the defined EPA range of concern. This suggests it is possible that similar stress pathways are stimulated in human cells at similar concentrations-- concentrations approximately 400 times lower than the EPA cytotoxicological level. Further experiments are required to examine this finding, and investigate what it means for human health.
From literature review, we found that the relevant cytotoxicological dose for copper sulfate is less than 1.3 parts per million, which is equivalent to 6.25 uM [1].
First, allow us to define some parameters from our model: Kstimulus is our michaelis-menten constant, which for our project is used as a measure of the sensitivity of our promoters. Vmax is the maximum reaction velocity, and in the context of our project, Vmax gives us maximum EGFP expression. Kstimulus is the concentration at which EGFP expression is one half of maximum expression.
From our curve-fit data, we found our Kstimulus value to be 0.2784 uM. This implies that our promoter construct is approximately 400 times more sensitive to the toxin than the threshold of the cytotoxicological limit defined in literature. From our curve fit, we also found that Vmax value occurs at a copper sulfate concentration of 5 uM. As defined by the EPA, the relevant dose is 6.25 uM. Because our Vmax is very close to the EPA defined value, it implies that our promoter operates within the range defined by the EPA to be of interest.
The data that is displayed on the wiki is data that was found twelve hours after induction in the cell line, CHO-DG44.
We also conducted an analysis of our data for our MT2 construct. However, we found that the error was too high, and therefore we determined that it wasn’t sensitive enough at this time, and further experiments are required.
Our transgenic (MT1) mammalian cells proved to be much more sensitive to copper sulfate than the defined EPA range of concern. This suggests it is possible that similar stress pathways are stimulated in human cells at similar concentrations-- concentrations approximately 400 times lower than the EPA cytotoxicological level. Further experiments are required to examine this finding, and investigate what it means for human health.
Figure 2. Chemicals of Concern
Chemical name | Klamath Environmental concentration | Cytotoxicology(In micromoles per liter) | Measured Kstim MT1 |
---|---|---|---|
Hydrogen Peroxide[1] | -- | Relevant dose is 60 uM[3] | 0.9546 uM |
Copper sulfate[2] | Copper measured at concentration of 19-67 ppm (112uM - 420uM)[5] | Relavant dode is <1.3ppm (6.25uM)[4] | 0.2784 uM |
References
[1] “Copper Fact Sheet.” Archive.epa.gov, US EPA, archive.epa.gov/pesticides/reregistration/web/pdf/copper_red_fs.pdf.
[2] “Copper Sulfate.” Copper Sulfate, EXTOXNET, pmep.cce.cornell.edu/profiles/extoxnet/carbaryl-dicrotophos/copper-sulfate-ext.html.
[3]“CDC - COPPER SULFATE (Anhydrous) - International Chemical Safety Cards - NIOSH.” Centers for Disease Control and Prevention, Centers for Disease Control and Prevention, www.cdc.gov/niosh/ipcsneng/neng0751.html.
[4] Nakamura, Jun, et al. “Micromolar Concentrations of Hydrogen Peroxide Induce Oxidative DNA Lesions More Efficiently than Millimolar Concentrations in Mammalian Cells.” Nucleic Acids Research, Oxford University Press, 15 Mar. 2003, www.ncbi.nlm.nih.gov/pmc/articles/PMC152865/.
[5]Eagles-Smith, C.A., and B.L. Johnson, 2012, Contaminants in the Klamath Basin: Historical patterns, current distribution, and data gap identification: U.S. Geological Survey Administrative Report, 88 p.