Line 57: | Line 57: | ||
cont: "(ita)C. albicans(itaed) secrete 4-HPA (4-hydroxyphenylacetic acid), which can enter the cell through the transport protein HpaX on the cell membrane and bind to the protein HpaA to form a complex. After binding to the downstream inducible P(sub)BC(subed) promoter, the complex can activate the transcription of P(sub)BC(subed) downstream genes. Click here to know our design of sensor.", | cont: "(ita)C. albicans(itaed) secrete 4-HPA (4-hydroxyphenylacetic acid), which can enter the cell through the transport protein HpaX on the cell membrane and bind to the protein HpaA to form a complex. After binding to the downstream inducible P(sub)BC(subed) promoter, the complex can activate the transcription of P(sub)BC(subed) downstream genes. Click here to know our design of sensor.", | ||
class: "np5" | class: "np5" | ||
+ | }, | ||
+ | { | ||
+ | type: "pic", | ||
+ | maxClass:"max4", | ||
+ | cont: [{ | ||
+ | num: 1, | ||
+ | adress: "https://static.igem.org/mediawiki/2019/c/c6/T--Jilin_China--Model--1-1.png", | ||
+ | pre: 100, | ||
+ | } | ||
+ | |||
+ | ] | ||
}, | }, | ||
{ | { | ||
Line 131: | Line 142: | ||
cont: "(1) The 4-HPA secreted by (ita)C. albicans(itaed) enters the cell membrane by the way of diffusion and passive transport which is functioned by transporter HpaX;", | cont: "(1) The 4-HPA secreted by (ita)C. albicans(itaed) enters the cell membrane by the way of diffusion and passive transport which is functioned by transporter HpaX;", | ||
class: "np5" | class: "np5" | ||
+ | }, | ||
+ | { | ||
+ | type: "pic", | ||
+ | maxClass:"max4", | ||
+ | cont: [{ | ||
+ | num: 1, | ||
+ | adress: "https://static.igem.org/mediawiki/2019/b/b8/T--Jilin_China--Model--1-2.png", | ||
+ | pre: 100, | ||
+ | } | ||
+ | |||
+ | ] | ||
}, | }, | ||
{ | { | ||
Line 136: | Line 158: | ||
cont: "(2) The 4-HPA that enters the cell binds to HpaA and forms Complex1;", | cont: "(2) The 4-HPA that enters the cell binds to HpaA and forms Complex1;", | ||
class: "np5" | class: "np5" | ||
+ | }, | ||
+ | { | ||
+ | type: "pic", | ||
+ | maxClass:"max4", | ||
+ | cont: [{ | ||
+ | num: 1, | ||
+ | adress: "https://static.igem.org/mediawiki/2019/a/ae/T--Jilin_China--Model--1-3.png", | ||
+ | pre: 100, | ||
+ | } | ||
+ | |||
+ | ] | ||
}, | }, | ||
{ | { | ||
Line 141: | Line 174: | ||
cont: "(3) Complex1 binds to P(sub)BC(subed) promoter immediately and transcribes the downstream target gene;", | cont: "(3) Complex1 binds to P(sub)BC(subed) promoter immediately and transcribes the downstream target gene;", | ||
class: "np5" | class: "np5" | ||
+ | }, | ||
+ | { | ||
+ | type: "pic", | ||
+ | maxClass:"max4", | ||
+ | cont: [{ | ||
+ | num: 1, | ||
+ | adress: "https://static.igem.org/mediawiki/2019/a/a0/T--Jilin_China--Model--1-4.png", | ||
+ | pre: 100, | ||
+ | } | ||
+ | |||
+ | ] | ||
}, | }, | ||
{ | { | ||
Line 146: | Line 190: | ||
cont: "(4) The mRNA is translated into GFP;", | cont: "(4) The mRNA is translated into GFP;", | ||
class: "np5" | class: "np5" | ||
+ | }, | ||
+ | { | ||
+ | type: "pic", | ||
+ | maxClass:"max4", | ||
+ | cont: [{ | ||
+ | num: 1, | ||
+ | adress: "https://static.igem.org/mediawiki/2019/1/16/T--Jilin_China--Model--1-5.png", | ||
+ | pre: 100, | ||
+ | } | ||
+ | |||
+ | ] | ||
}, | }, | ||
{ | { | ||
Line 151: | Line 206: | ||
cont: "(5) The degradation of mRNA and GFP exists in the previous step.", | cont: "(5) The degradation of mRNA and GFP exists in the previous step.", | ||
class: "np5" | class: "np5" | ||
+ | }, | ||
+ | { | ||
+ | type: "pic", | ||
+ | maxClass:"max4", | ||
+ | cont: [{ | ||
+ | num: 1, | ||
+ | adress: "https://static.igem.org/mediawiki/2019/6/65/T--Jilin_China--Model--1-6.png", | ||
+ | pre: 100, | ||
+ | } | ||
+ | |||
+ | ] | ||
}, | }, | ||
Line 162: | Line 228: | ||
cont: "(1) The entry of 4-HPA into cells through the transporter HpaX is an enzyme-catalyzed reaction and it is known that the maximum rate is V(sub)max(subed) and the apparent Michaelis constant is K(sub)t(subed) (Consider that part of 4-HPA enters through diffusion). According to Michaelis equation, for a constant concentration of 4-HPA outside the cell[4-HPA(ex)], the rate of 4-HPA entering the cell is:", | cont: "(1) The entry of 4-HPA into cells through the transporter HpaX is an enzyme-catalyzed reaction and it is known that the maximum rate is V(sub)max(subed) and the apparent Michaelis constant is K(sub)t(subed) (Consider that part of 4-HPA enters through diffusion). According to Michaelis equation, for a constant concentration of 4-HPA outside the cell[4-HPA(ex)], the rate of 4-HPA entering the cell is:", | ||
class: "np5" | class: "np5" | ||
+ | }, | ||
+ | { | ||
+ | type: "pic", | ||
+ | maxClass:"max4", | ||
+ | cont: [{ | ||
+ | num: 1, | ||
+ | adress: "https://static.igem.org/mediawiki/2019/5/5f/T--Jilin_China--Model--1-7.png", | ||
+ | pre: 100, | ||
+ | } | ||
+ | |||
+ | ] | ||
}, | }, | ||
{ | { | ||
Line 167: | Line 244: | ||
cont: "(2) If HpaA is overexpressed in cell, the forming rate of Complex1 at equilibrium, which is formed by 4-HPA and HpaA, depends on the entering rate of 4-HPA. [Com1] represents the concentration of complex1, then:", | cont: "(2) If HpaA is overexpressed in cell, the forming rate of Complex1 at equilibrium, which is formed by 4-HPA and HpaA, depends on the entering rate of 4-HPA. [Com1] represents the concentration of complex1, then:", | ||
class: "np5" | class: "np5" | ||
+ | }, | ||
+ | { | ||
+ | type: "pic", | ||
+ | maxClass:"max4", | ||
+ | cont: [{ | ||
+ | num: 1, | ||
+ | adress: "https://static.igem.org/mediawiki/2019/1/16/T--Jilin_China--Model--1-8.png", | ||
+ | pre: 100, | ||
+ | } | ||
+ | |||
+ | ] | ||
}, | }, | ||
{ | { | ||
Line 172: | Line 260: | ||
cont: "(3) It is known that the transcription rate of mRNA downstream P(sub)BC(subed) promoter is a, the average copy number of pSB1C3 is C(sub)n(subed), the number of cells in the system is N, and the half-life of mRNA is t(sub)1(subed). [mRNA] is used to express molecule numbers of mRNA. In addition, Hill equation is selected to fit the regulation of Complex1 on P(sub)BC(subed) promoter. The net production rate of mRNA depends on both the production and the degradation rate of mRNA:", | cont: "(3) It is known that the transcription rate of mRNA downstream P(sub)BC(subed) promoter is a, the average copy number of pSB1C3 is C(sub)n(subed), the number of cells in the system is N, and the half-life of mRNA is t(sub)1(subed). [mRNA] is used to express molecule numbers of mRNA. In addition, Hill equation is selected to fit the regulation of Complex1 on P(sub)BC(subed) promoter. The net production rate of mRNA depends on both the production and the degradation rate of mRNA:", | ||
class: "np5" | class: "np5" | ||
+ | }, | ||
+ | { | ||
+ | type: "pic", | ||
+ | maxClass:"max4", | ||
+ | cont: [{ | ||
+ | num: 1, | ||
+ | adress: "https://static.igem.org/mediawiki/2019/c/c2/T--Jilin_China--Model--1-9.png", | ||
+ | pre: 100, | ||
+ | } | ||
+ | |||
+ | ] | ||
}, | }, | ||
{ | { | ||
Line 177: | Line 276: | ||
cont: "(4) Given that the translation rate from each mRNA to GFP is b and the half-life of GFP is t(sub)2(subed), the net production rate of GFP depends on the production and the degradation rate of GFP. The number of GFP molecules is represented by [GFP], then:", | cont: "(4) Given that the translation rate from each mRNA to GFP is b and the half-life of GFP is t(sub)2(subed), the net production rate of GFP depends on the production and the degradation rate of GFP. The number of GFP molecules is represented by [GFP], then:", | ||
class: "np5" | class: "np5" | ||
+ | }, | ||
+ | { | ||
+ | type: "pic", | ||
+ | maxClass:"max4", | ||
+ | cont: [{ | ||
+ | num: 1, | ||
+ | adress: "https://static.igem.org/mediawiki/2019/e/e4/T--Jilin_China--Model--1-10.png", | ||
+ | pre: 100, | ||
+ | } | ||
+ | |||
+ | ] | ||
}, | }, | ||
{ | { | ||
Line 187: | Line 297: | ||
cont: "The parameters involved in the above ODE equations are as follows:", | cont: "The parameters involved in the above ODE equations are as follows:", | ||
class: "np5" | class: "np5" | ||
+ | },{ | ||
+ | type: "pic", | ||
+ | maxClass:"max4", | ||
+ | cont: [{ | ||
+ | num: 1, | ||
+ | adress: "https://static.igem.org/mediawiki/2019/0/0c/T--Jilin_China--Model--1-11.png", | ||
+ | pre: 100, | ||
+ | } | ||
+ | |||
+ | ] | ||
}, | }, | ||
{ | { | ||
Line 195: | Line 315: | ||
{ | { | ||
type: "word", | type: "word", | ||
− | cont: " | + | cont: "Solving the above ODE, the following equation can be obtained:", |
class: "np5" | class: "np5" | ||
+ | },{ | ||
+ | type: "pic", | ||
+ | maxClass:"max4", | ||
+ | cont: [{ | ||
+ | num: 1, | ||
+ | adress: "https://static.igem.org/mediawiki/2019/c/cb/T--Jilin_China--Model--1-12.png", | ||
+ | pre: 100, | ||
+ | } | ||
+ | |||
+ | ] | ||
}, | }, | ||
{ | { | ||
Line 202: | Line 332: | ||
cont: "According to the experiment, we consider that after 12 h, the number of engineered bacteria reaches 1*10(sup)9(suped) and our bacteria stay in the growth plateau until 24 h. Their proliferation after 12 h is ignored and 4-HPA is considered as having fully played its maximum induction effect during this period. So we can assign values to t. According to the curve fit by matlab, we know the relationship between concentration of 4-HPA (nmol/L) and fluorescence units (FSU) when t is valued 12 h, 16 h, 20 h and 24 h. ", | cont: "According to the experiment, we consider that after 12 h, the number of engineered bacteria reaches 1*10(sup)9(suped) and our bacteria stay in the growth plateau until 24 h. Their proliferation after 12 h is ignored and 4-HPA is considered as having fully played its maximum induction effect during this period. So we can assign values to t. According to the curve fit by matlab, we know the relationship between concentration of 4-HPA (nmol/L) and fluorescence units (FSU) when t is valued 12 h, 16 h, 20 h and 24 h. ", | ||
class: "np5" | class: "np5" | ||
+ | },{ | ||
+ | type: "pic", | ||
+ | maxClass:"max4", | ||
+ | cont: [{ | ||
+ | num: 1, | ||
+ | adress: "https://static.igem.org/mediawiki/2019/5/56/T--Jilin_China--Model--1-13.png", | ||
+ | pre: 100, | ||
+ | } | ||
+ | |||
+ | ] | ||
}, | }, | ||
{ | { | ||
Line 212: | Line 352: | ||
cont: "Assuming that the concentration of (ita)C. albicans(itaed) is in linear relationship with that of 4-HPA they secrete, the proportionality constant is k (k=14000nmol/L*mL(sup)[3](suped)), c represents the concentration of (ita)C. albicans(itaed), then:", | cont: "Assuming that the concentration of (ita)C. albicans(itaed) is in linear relationship with that of 4-HPA they secrete, the proportionality constant is k (k=14000nmol/L*mL(sup)[3](suped)), c represents the concentration of (ita)C. albicans(itaed), then:", | ||
class: "np5" | class: "np5" | ||
+ | },{ | ||
+ | type: "pic", | ||
+ | maxClass:"max4", | ||
+ | cont: [{ | ||
+ | num: 1, | ||
+ | adress: "https://static.igem.org/mediawiki/2019/c/c5/T--Jilin_China--Model--1-14.png", | ||
+ | pre: 100, | ||
+ | } | ||
+ | |||
+ | ] | ||
}, | }, | ||
{ | { | ||
Line 217: | Line 367: | ||
cont: "Considering that pVE5523 will be used as the vector when our project is put into application, which carries sensing system, therapeutic system and suicide system simultaneously, the above ordinary differential equations can be modified as follows:", | cont: "Considering that pVE5523 will be used as the vector when our project is put into application, which carries sensing system, therapeutic system and suicide system simultaneously, the above ordinary differential equations can be modified as follows:", | ||
class: "np5" | class: "np5" | ||
+ | },{ | ||
+ | type: "pic", | ||
+ | maxClass:"max4", | ||
+ | cont: [{ | ||
+ | num: 1, | ||
+ | adress: "https://static.igem.org/mediawiki/2019/a/a7/T--Jilin_China--Model--1-15.png", | ||
+ | pre: 100, | ||
+ | } | ||
+ | |||
+ | ] | ||
}, | }, | ||
{ | { | ||
Line 222: | Line 382: | ||
cont: "The parameters involved in the above ODE are as follows:", | cont: "The parameters involved in the above ODE are as follows:", | ||
class: "np5" | class: "np5" | ||
+ | },{ | ||
+ | type: "pic", | ||
+ | maxClass:"max4", | ||
+ | cont: [{ | ||
+ | num: 1, | ||
+ | adress: "https://static.igem.org/mediawiki/2019/c/c9/T--Jilin_China--Model--1-16.png", | ||
+ | pre: 100, | ||
+ | } | ||
+ | |||
+ | ] | ||
}, | }, | ||
{ | { | ||
Line 227: | Line 397: | ||
cont: "By solving the above ODE and assigning values to each parameter according to the above table, considering engineered bacteria may exist at a stable concentration in the vagina, we assign t to 12 h, 16 h, 20 h, 24 h and the relationship between (ita)C. albicans(itaed) concentration (mL(sup)-1(suped)) and molecule numbers of tetR [tetR] can be obtained at different time:", | cont: "By solving the above ODE and assigning values to each parameter according to the above table, considering engineered bacteria may exist at a stable concentration in the vagina, we assign t to 12 h, 16 h, 20 h, 24 h and the relationship between (ita)C. albicans(itaed) concentration (mL(sup)-1(suped)) and molecule numbers of tetR [tetR] can be obtained at different time:", | ||
class: "np5" | class: "np5" | ||
+ | },{ | ||
+ | type: "pic", | ||
+ | maxClass:"max4", | ||
+ | cont: [{ | ||
+ | num: 1, | ||
+ | adress: "https://static.igem.org/mediawiki/2019/a/aa/T--Jilin_China--Model--1-17.png", | ||
+ | pre: 100, | ||
+ | } | ||
+ | |||
+ | ] | ||
}, | }, | ||
{ | { | ||
Line 232: | Line 412: | ||
cont: "It is known that when P(sub)tet(subed) is 100% repressed, [tetR]= e. According to the fact that every four tetR can bind to one P(sub)tet(subed), which will cause the inhibition of promoter transcription, we could know:", | cont: "It is known that when P(sub)tet(subed) is 100% repressed, [tetR]= e. According to the fact that every four tetR can bind to one P(sub)tet(subed), which will cause the inhibition of promoter transcription, we could know:", | ||
class: "np5" | class: "np5" | ||
+ | },{ | ||
+ | type: "pic", | ||
+ | maxClass:"max4", | ||
+ | cont: [{ | ||
+ | num: 1, | ||
+ | adress: "https://static.igem.org/mediawiki/2019/9/9b/T--Jilin_China--Model--1-18.png", | ||
+ | pre: 100, | ||
+ | } | ||
+ | |||
+ | ] | ||
}, | }, | ||
{ | { | ||
Line 312: | Line 502: | ||
cont: "In the same system, the following equations can be obtained.", | cont: "In the same system, the following equations can be obtained.", | ||
class: "np5" | class: "np5" | ||
+ | },{ | ||
+ | type: "pic", | ||
+ | maxClass:"max4", | ||
+ | cont: [{ | ||
+ | num: 1, | ||
+ | adress: "https://static.igem.org/mediawiki/2019/2/23/T--Jilin_China--Model--1-19.png", | ||
+ | pre: 100, | ||
+ | } | ||
+ | |||
+ | ] | ||
}, | }, | ||
{ | { | ||
Line 322: | Line 522: | ||
cont: "The parameters involved in the above equation are as follows:", | cont: "The parameters involved in the above equation are as follows:", | ||
class: "np5" | class: "np5" | ||
+ | },{ | ||
+ | type: "pic", | ||
+ | maxClass:"max4", | ||
+ | cont: [{ | ||
+ | num: 1, | ||
+ | adress: "https://static.igem.org/mediawiki/2019/e/e3/T--Jilin_China--Model--2-1.png", | ||
+ | pre: 100, | ||
+ | } | ||
+ | |||
+ | ] | ||
}, | }, | ||
{ | { | ||
Line 327: | Line 537: | ||
cont: "In order to analyze the gray level of the image, we use computer to recognize the brightness of the image, and express the brightness as the ordinate in the 3D model.", | cont: "In order to analyze the gray level of the image, we use computer to recognize the brightness of the image, and express the brightness as the ordinate in the 3D model.", | ||
class: "np5" | class: "np5" | ||
+ | },{ | ||
+ | type: "pic", | ||
+ | maxClass:"max4", | ||
+ | cont: [{ | ||
+ | num: 1, | ||
+ | adress: "https://static.igem.org/mediawiki/2019/f/f5/T--Jilin_China--Model--2-2.png", | ||
+ | pre: 100, | ||
+ | } | ||
+ | |||
+ | ] | ||
}, | }, | ||
{ | { | ||
type: "word", | type: "word", | ||
− | cont: "Figure | + | cont: "Figure 4. The electrophoretogram to be analyzed.", |
− | class: " | + | class: "np6" |
+ | },{ | ||
+ | type: "pic", | ||
+ | maxClass:"max4", | ||
+ | cont: [{ | ||
+ | num: 1, | ||
+ | adress: "https://static.igem.org/mediawiki/2019/b/b4/T--Jilin_China--Model--2-3.png", | ||
+ | pre: 100, | ||
+ | } | ||
+ | |||
+ | ] | ||
}, | }, | ||
{ | { | ||
type: "word", | type: "word", | ||
− | cont: "Figure | + | cont: "Figure 5. First of all, the image data is imported into matlab and the brightness value is specified between 1-255. Next we convert the pixel points in the image into a double precision numerical matrix according to the brightness, and use the matrix to generate a 3D histogram, which can intuitively reflect the brightness of different parts of the rubber chart.", |
class: "np5" | class: "np5" | ||
+ | },{ | ||
+ | type: "pic", | ||
+ | maxClass:"max4", | ||
+ | cont: [{ | ||
+ | num: 1, | ||
+ | adress: "https://static.igem.org/mediawiki/2019/2/21/T--Jilin_China--Model--2-5.png", | ||
+ | pre: 100, | ||
+ | } | ||
+ | |||
+ | ] | ||
}, | }, | ||
{ | { | ||
Line 342: | Line 582: | ||
cont: "Figure 6. By directly clicking the point on the model, we can get the coordinates of x, y and z represented by this point. The x and y represent the position of the point in the matrix, and z represents the brightness of the point.", | cont: "Figure 6. By directly clicking the point on the model, we can get the coordinates of x, y and z represented by this point. The x and y represent the position of the point in the matrix, and z represents the brightness of the point.", | ||
class: "np5" | class: "np5" | ||
+ | }, | ||
+ | { | ||
+ | type: "pic", | ||
+ | maxClass:"max4", | ||
+ | cont: [{ | ||
+ | num: 1, | ||
+ | adress: "https://static.igem.org/mediawiki/2019/6/6b/T--Jilin_China--Model--2-6.png", | ||
+ | pre: 100, | ||
+ | } | ||
+ | |||
+ | ] | ||
}, | }, | ||
{ | { | ||
Line 347: | Line 598: | ||
cont: "Figure 7. In order to calculate the average brightness of a DNA strip, the following algorithm is designed. First, input the approximate x, y coordinate range of the strip to be calculated into the program, so that the selected range is a rectangular area. Then calculate the brightness value Ф of the center point of the selected area by computer, and specify a fluctuation value μ. Other points of which brightness Φ(sub)n(subed) in the selected area meets the requirement of Ф-μ<Ф(sub)n(subed)<Ф+μ will be added to the queue. Next we calculate the average value of the brightness at the midpoint of all queues, which can represent the strip brightness.", | cont: "Figure 7. In order to calculate the average brightness of a DNA strip, the following algorithm is designed. First, input the approximate x, y coordinate range of the strip to be calculated into the program, so that the selected range is a rectangular area. Then calculate the brightness value Ф of the center point of the selected area by computer, and specify a fluctuation value μ. Other points of which brightness Φ(sub)n(subed) in the selected area meets the requirement of Ф-μ<Ф(sub)n(subed)<Ф+μ will be added to the queue. Next we calculate the average value of the brightness at the midpoint of all queues, which can represent the strip brightness.", | ||
class: "np5" | class: "np5" | ||
+ | },{ | ||
+ | type: "pic", | ||
+ | maxClass:"max4", | ||
+ | cont: [{ | ||
+ | num: 1, | ||
+ | adress: "https://static.igem.org/mediawiki/2019/6/66/T--Jilin_China--Model--2-7.png", | ||
+ | pre: 100, | ||
+ | } | ||
+ | |||
+ | ] | ||
}, | }, | ||
{ | { | ||
Line 352: | Line 613: | ||
cont: "Figure 8. For example, if we want to find the average brightness of the above DNA bands, we select the region and output the region matrix with D (:, 211:231) and D (203:215,:). Select the center luminance value 208.5 and set the up fluctuation value 40 and down fluctuation value 10. Pick out the data that meet the conditions, then average the values. The red area is the center point data, and the area within the red box is the data that meet the conditions.", | cont: "Figure 8. For example, if we want to find the average brightness of the above DNA bands, we select the region and output the region matrix with D (:, 211:231) and D (203:215,:). Select the center luminance value 208.5 and set the up fluctuation value 40 and down fluctuation value 10. Pick out the data that meet the conditions, then average the values. The red area is the center point data, and the area within the red box is the data that meet the conditions.", | ||
class: "np5" | class: "np5" | ||
+ | },{ | ||
+ | type: "pic", | ||
+ | maxClass:"max4", | ||
+ | cont: [{ | ||
+ | num: 1, | ||
+ | adress: "https://static.igem.org/mediawiki/2019/9/9c/T--Jilin_China--Model--2-8.png", | ||
+ | pre: 100, | ||
+ | } | ||
+ | |||
+ | ] | ||
}, | }, | ||
{ | { | ||
Line 362: | Line 633: | ||
cont: "After obtaining the brightness of the target fragment: Ф(sub)DNA(subed) =220.4, we use the same method to obtain the brightness of the target strip with the size of 3000bp of 1kb DNA ladder: Ф(sub)Marker(subed) = 903.41, and we know that L(sub)DNA(subed)= 6092 bp, V(sub)DNA= 3 μL, V(sub)Marke(subed)r= 5 μL, C(sub)Marker(subed)= 20 ng/μL, and bring the above data into the equation:", | cont: "After obtaining the brightness of the target fragment: Ф(sub)DNA(subed) =220.4, we use the same method to obtain the brightness of the target strip with the size of 3000bp of 1kb DNA ladder: Ф(sub)Marker(subed) = 903.41, and we know that L(sub)DNA(subed)= 6092 bp, V(sub)DNA= 3 μL, V(sub)Marke(subed)r= 5 μL, C(sub)Marker(subed)= 20 ng/μL, and bring the above data into the equation:", | ||
class: "np5" | class: "np5" | ||
+ | },{ | ||
+ | type: "pic", | ||
+ | maxClass:"max4", | ||
+ | cont: [{ | ||
+ | num: 1, | ||
+ | adress: "https://static.igem.org/mediawiki/2019/2/2d/T--Jilin_China--Model--2-9.png", | ||
+ | pre: 100, | ||
+ | } | ||
+ | |||
+ | ] | ||
}, | }, | ||
{ | { | ||
Line 410: | Line 691: | ||
", | ", | ||
class: "np5" | class: "np5" | ||
+ | },{ | ||
+ | type: "pic", | ||
+ | maxClass:"max4", | ||
+ | cont: [{ | ||
+ | num: 1, | ||
+ | adress: "https://static.igem.org/mediawiki/2019/2/2c/T--Jilin_China--Model--3-1.png", | ||
+ | pre: 100, | ||
+ | } | ||
+ | |||
+ | ] | ||
}, | }, | ||
{ | { | ||
Line 420: | Line 711: | ||
cont: "From all the questions in the questionnaires, we selected 6 useful questions, which were named Q(sub)j(subed) (j=1~6). The feedbacks of the subjects on these questions directly determined the potential market share of gynecological gel in all ages. These questions are as follows:", | cont: "From all the questions in the questionnaires, we selected 6 useful questions, which were named Q(sub)j(subed) (j=1~6). The feedbacks of the subjects on these questions directly determined the potential market share of gynecological gel in all ages. These questions are as follows:", | ||
class: "np5" | class: "np5" | ||
+ | },{ | ||
+ | type: "pic", | ||
+ | maxClass:"max4", | ||
+ | cont: [{ | ||
+ | num: 1, | ||
+ | adress: "https://static.igem.org/mediawiki/2019/e/e2/T--Jilin_China--Model--3-2.png", | ||
+ | pre: 100, | ||
+ | } | ||
+ | |||
+ | ] | ||
}, | }, | ||
{ | { | ||
Line 465: | Line 766: | ||
cont: "Then:", | cont: "Then:", | ||
class: "np5" | class: "np5" | ||
+ | },{ | ||
+ | type: "pic", | ||
+ | maxClass:"max4", | ||
+ | cont: [{ | ||
+ | num: 1, | ||
+ | adress: "https://static.igem.org/mediawiki/2019/d/d7/T--Jilin_China--Model--3-3.png", | ||
+ | pre: 100, | ||
+ | } | ||
+ | |||
+ | ] | ||
}, | }, | ||
{ | { | ||
Line 475: | Line 786: | ||
cont: "We considered all the questions at a certain age, like Age(5), and defined the evaluation function (EvF) as:", | cont: "We considered all the questions at a certain age, like Age(5), and defined the evaluation function (EvF) as:", | ||
class: "np5" | class: "np5" | ||
+ | },{ | ||
+ | type: "pic", | ||
+ | maxClass:"max4", | ||
+ | cont: [{ | ||
+ | num: 1, | ||
+ | adress: "https://static.igem.org/mediawiki/2019/0/0c/T--Jilin_China--Model--3-4.png", | ||
+ | pre: 100, | ||
+ | } | ||
+ | |||
+ | ] | ||
}, | }, | ||
{ | { | ||
Line 490: | Line 811: | ||
cont: "Then:", | cont: "Then:", | ||
class: "np5" | class: "np5" | ||
+ | },{ | ||
+ | type: "pic", | ||
+ | maxClass:"max4", | ||
+ | cont: [{ | ||
+ | num: 1, | ||
+ | adress: "https://static.igem.org/mediawiki/2019/e/e0/T--Jilin_China--Model--3-5.png", | ||
+ | pre: 100, | ||
+ | } | ||
+ | |||
+ | ] | ||
}, | }, | ||
{ | { | ||
Line 510: | Line 841: | ||
cont: "The result is shown in the following table: ", | cont: "The result is shown in the following table: ", | ||
class: "np5" | class: "np5" | ||
+ | },{ | ||
+ | type: "pic", | ||
+ | maxClass:"max4", | ||
+ | cont: [{ | ||
+ | num: 1, | ||
+ | adress: "https://static.igem.org/mediawiki/2019/d/d3/T--Jilin_China--Model--3-6.png", | ||
+ | pre: 100, | ||
+ | } | ||
+ | |||
+ | ] | ||
}, | }, | ||
{ | { | ||
type: "word", | type: "word", | ||
cont: "6. The relationship between EvF and Age(i) is reflected in the figure below: ", | cont: "6. The relationship between EvF and Age(i) is reflected in the figure below: ", | ||
+ | class: "np5" | ||
+ | },{ | ||
+ | type: "pic", | ||
+ | maxClass:"max4", | ||
+ | cont: [{ | ||
+ | num: 1, | ||
+ | adress: "https://static.igem.org/mediawiki/2019/a/aa/T--Jilin_China--Model--3-7.png", | ||
+ | pre: 100, | ||
+ | } | ||
+ | |||
+ | ] | ||
+ | },{ | ||
+ | type: "word", | ||
+ | cont: "Figure 10. The relationship between EvF and Age (i) ", | ||
class: "np5" | class: "np5" | ||
}, | }, |
Revision as of 00:37, 22 October 2019
/**
* * @authors lhx * @date 2019-05-30 16:25:38 * @version 1.1 */
var content_alpha = {
prospect:{
title:"Model"
},
part: [{
title: "Overview",
para: [
{ type: "word", cont: "A good model can not only facilitate and conduct experiments, but also guide the project from design to application. Jilin_China has designed three models this year, which guide our project from different aspects.", class: "np5" }, { type: "word", cont: "1. We established an ODE model to show the relationship between the concentration of (ita)C. albicans(itaed) and the expression of downstream proteins of the P(sub)BC(sub) promoter. The model can also provide guidance for experiments on sensing system. According to this model, the theoretical curative effect of our product can be predicted. It also makes it possible for comparisons between Guardian of Rose and existing therapies. For more about our (ita)C. albicans(itaed) Sensing Model.", class: "np5" }, { type: "word", cont: "2. Based on the results from HP, we established a market prediction model to predict the public acceptance of our gynaecological gel and the relationship between market distribution and age groups. Questions in the questionnaire were analyzed and each option was defined in different indicators and assigned. Then we calculated the evaluation function according to the age distribution to get the results. For more about our Market Prediction Model.", class: "np5" }, { type: "word", cont: "3. In the process of molecular cloning experiments, it’s often a big problem for the semi-quantitative analysis of the target gene concentration through the results of electrophoresis. We need this data to carry out the following experiments such as the vector construction. Therefore, the gray analysis model was devised and combined with gray-concentration analysis equation during our experiments. This model will greatly facilitate and guide our experiments. For more about our Gene Concentration Prediction Model.", class: "np5" },
]
}, { title: "(ita)C. albicans(itaed) Sensing Model ", para: [
{
type: "word",
cont: "1. Principle",
class: "np12
},
{
type: "word",
cont: "(ita)C. albicans(itaed) secrete 4-HPA (4-hydroxyphenylacetic acid), which can enter the cell through the transport protein HpaX on the cell membrane and bind to the protein HpaA to form a complex. After binding to the downstream inducible P(sub)BC(subed) promoter, the complex can activate the transcription of P(sub)BC(subed) downstream genes. Click here to know our design of sensor.",
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num: 1,
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cont: "2. Introduction",
class: "np2"
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{
type: "word",
cont: "In order to explore the relationship between inducer 4-HPA and the expression of P(sub)BC(subed) downstream genes, we established an ordinary differential equation model.",
class: "np5"
},
type: "word",
cont: "This model can provide guidance for our experiments in designing the sensing system. In addition, we can also predict the theoretical curative effect of the therapeutic system in our project, which makes it possible to compare the curative effect of Guardian of Rose with existing therapies.",
class: "np5"
},
{
type: "word",
cont: "3. Assumption",
class: "np2"
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{
type: "word",
cont: "In order to ensure the solvability and analytical capability of the model, the complex system is assumed as follows:",
class: "np5"
},
{
type: "word",
cont: "1. HpaA and HpaX are both overexpressed in (ita)E. coli(itaed);",
class: "np5"
},
{
type: "word",
cont: "2. Extracellular 4-HPA concentration remains constant;",
class: "np5"
},
{
type: "word",
cont: "3. The catabolism of 4-HPA in (ita)E. coli(itaed) is ignored;",
class: "np5"
},
{
type: "word",
cont: "4. DNA degradation is ignored;",
class: "np5"
},
{
type: "word",
cont: "5. The maximum transcription rate of P(sub)BC(subed) promoter is 2 nt/s;",
class: "np5"
},
{
type: "word",
cont: "6. The binding of 4-HPA to HpaA and their complex to P(sub)BC(subed) promoter are instantaneous processes;",
class: "np5"
},
{
type: "word",
cont: "7. A single ribosome is involved in translation.",
class: "np5"
},
{go
type: "word",
cont: "4. Biochemical Reactions",
class: "np2"
},
{
type: "word",
cont: "Based on the working principle of the sensing system and assumptions above, the following biochemical reaction equations can be deduced as follows:",
class: "np5"
},
{
type: "word",
cont: "(1) The 4-HPA secreted by (ita)C. albicans(itaed) enters the cell membrane by the way of diffusion and passive transport which is functioned by transporter HpaX;",
class: "np5"
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cont: "(2) The 4-HPA that enters the cell binds to HpaA and forms Complex1;",
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cont: "(3) Complex1 binds to P(sub)BC(subed) promoter immediately and transcribes the downstream target gene;",
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cont: "(4) The mRNA is translated into GFP;",
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cont: "(5) The degradation of mRNA and GFP exists in the previous step.",
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type: "word",
cont: "5. ODE:",
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{
type: "word",
cont: "(1) The entry of 4-HPA into cells through the transporter HpaX is an enzyme-catalyzed reaction and it is known that the maximum rate is V(sub)max(subed) and the apparent Michaelis constant is K(sub)t(subed) (Consider that part of 4-HPA enters through diffusion). According to Michaelis equation, for a constant concentration of 4-HPA outside the cell[4-HPA(ex)], the rate of 4-HPA entering the cell is:",
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cont: "(2) If HpaA is overexpressed in cell, the forming rate of Complex1 at equilibrium, which is formed by 4-HPA and HpaA, depends on the entering rate of 4-HPA. [Com1] represents the concentration of complex1, then:",
class: "np5"
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type: "word",
cont: "(3) It is known that the transcription rate of mRNA downstream P(sub)BC(subed) promoter is a, the average copy number of pSB1C3 is C(sub)n(subed), the number of cells in the system is N, and the half-life of mRNA is t(sub)1(subed). [mRNA] is used to express molecule numbers of mRNA. In addition, Hill equation is selected to fit the regulation of Complex1 on P(sub)BC(subed) promoter. The net production rate of mRNA depends on both the production and the degradation rate of mRNA:",
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cont: "(4) Given that the translation rate from each mRNA to GFP is b and the half-life of GFP is t(sub)2(subed), the net production rate of GFP depends on the production and the degradation rate of GFP. The number of GFP molecules is represented by [GFP], then:",
class: "np5"
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{
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type: "word",
cont: "(5) There is a linear relationship between the number of GFP molecules [GFP] and fluorescence units (FSU), and the proportional coefficient is d, then:",
class: "np5"
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{
type: "word",
cont: "The parameters involved in the above ODE equations are as follows:",
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cont: "6. Result",
class: "np2"
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type: "word",
cont: "Solving the above ODE, the following equation can be obtained:",
class: "np5"
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type: "word",
cont: "According to the experiment, we consider that after 12 h, the number of engineered bacteria reaches 1*10(sup)9(suped) and our bacteria stay in the growth plateau until 24 h. Their proliferation after 12 h is ignored and 4-HPA is considered as having fully played its maximum induction effect during this period. So we can assign values to t. According to the curve fit by matlab, we know the relationship between concentration of 4-HPA (nmol/L) and fluorescence units (FSU) when t is valued 12 h, 16 h, 20 h and 24 h. ",
class: "np5"
},{
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cont: "7. Analysis",
class: "np2"
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{
type: "word",
cont: "Assuming that the concentration of (ita)C. albicans(itaed) is in linear relationship with that of 4-HPA they secrete, the proportionality constant is k (k=14000nmol/L*mL(sup)[3](suped)), c represents the concentration of (ita)C. albicans(itaed), then:",
class: "np5"
},{
type: "pic",
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cont: [{
num: 1,
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]
},
{
type: "word",
cont: "Considering that pVE5523 will be used as the vector when our project is put into application, which carries sensing system, therapeutic system and suicide system simultaneously, the above ordinary differential equations can be modified as follows:",
class: "np5"
},{
type: "pic",
maxClass:"max4",
cont: [{
num: 1,
adress: "",
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]
},
{
type: "word",
cont: "The parameters involved in the above ODE are as follows:",
class: "np5"
},{
type: "pic",
maxClass:"max4",
cont: [{
num: 1,
adress: "",
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}
]
},
{
type: "word",
cont: "By solving the above ODE and assigning values to each parameter according to the above table, considering engineered bacteria may exist at a stable concentration in the vagina, we assign t to 12 h, 16 h, 20 h, 24 h and the relationship between (ita)C. albicans(itaed) concentration (mL(sup)-1(suped)) and molecule numbers of tetR [tetR] can be obtained at different time:",
class: "np5"
},{
type: "pic",
maxClass:"max4",
cont: [{
num: 1,
adress: "",
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}
]
},
{
type: "word",
cont: "It is known that when P(sub)tet(subed) is 100% repressed, [tetR]= e. According to the fact that every four tetR can bind to one P(sub)tet(subed), which will cause the inhibition of promoter transcription, we could know:",
class: "np5"
},{
type: "pic",
maxClass:"max4",
cont: [{
num: 1,
adress: "",
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}
] }, { type: "word", cont: "According to figure 3, when e=2*10(sup)12(suped) and t=24 h, 20 h, 16 h, 12 h,c=1.943*10(sup)4(suped)/mL, 3.368*10(sup)4(suped)/mL, 6.633*10(sup)4(suped)/mL, 15.99*10(sup)4(suped)/mL respectively.", class: "np5" }, { type: "word", cont: "When the suicide system is just completely inhibited, we could know the concentration of (ita)C. albicans(itaed) in this state from above analysis, which corresponds to the minimum curative effect of our therapeutic system. The therapeutic system will continue working for some time after the suicide system is activated. Therefore, the curative effect should theoretically be better.", class: "np5" }, { type: "word", cont: "When the suicide system is just completely inhibited, we could know the concentration of (ita)C. albicans(itaed) in this state from above analysis, which corresponds to the minimum curative effect of our therapeutic system. The therapeutic system will continue working for some time after the suicide system is activated. Therefore, the curative effect should theoretically be better.", class: "np5" },
]
}, { title: "Gene Concentration Prediction Model", para: [
{
type: "word",
cont: "1. Introduction:",
class: "np2"
},
{
type: "word",
cont: "Our experiments involved a large number of DNA electrophoresis in order to analyze the length and concentration of different DNA fragments obtained from our experiments. Based on the analysis of the obtained fluorescent images, we established an approximate relationship between the concentration of DNA molecules with different length.",
class: "np5"
},
{
type: "word",
cont: "Its significance is reflected in:",
class: "np5"
},
{
type: "word",
cont: "It is easier for grayscale analysis model to operate than existing apps. The way of inputting horizontal and vertical coordinates as data locates the area to be analyzed more accurately, and the analysis of brightness is also more accurate.",
class: "np5"
},
{
type: "word",
cont: "2. Principle",
class: "np2"
},
{
type: "word",
cont: "Ethidium bromide (EtBr) is a conventional intercalator for visualizing DNA, which binds between adjacent base pairs of dsDNA and fluoresces. ",
class: "np5"
},
{
type: "word",
cont: "3. Assumption",
class: "np2"
},
{
type: "word",
cont: "The bare DNA molecule is considered as a one-dimensional lattice with numerous free binding sites. One can consider the lattice very long and therefore neglect end effects(sup)[4](suped).",
class: "np5"
},
{
type: "word",
cont: "In the same system, the length of a DNA molecule is linearly correlated with the number of EB molecules combined on it.",
class: "np5"
},
{
type: "word",
cont: "4. Result",
class: "np2"
},
{
type: "word",
cont: "In the same system, the following equations can be obtained.",
class: "np5"
},{
type: "pic",
maxClass:"max4",
cont: [{
num: 1,
adress: "",
pre: 100,
}
]
},
{
type: "word",
cont: "We can get C(sub)DNA(subed) from the known marker concentration C(sub)Marker(subed).",
class: "np5"
},
{
type: "word",
cont: "The parameters involved in the above equation are as follows:",
class: "np5"
},{
type: "pic",
maxClass:"max4",
cont: [{
num: 1,
adress: "",
pre: 100,
}
]
},
{
type: "word",
cont: "In order to analyze the gray level of the image, we use computer to recognize the brightness of the image, and express the brightness as the ordinate in the 3D model.",
class: "np5"
},{
type: "pic",
maxClass:"max4",
cont: [{
num: 1,
adress: "",
pre: 100,
}
]
},
{
type: "word",
cont: "Figure 4. The electrophoretogram to be analyzed.",
class: "np6"
},{
type: "pic",
maxClass:"max4",
cont: [{
num: 1,
adress: "",
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}
]
},
{
type: "word",
cont: "Figure 5. First of all, the image data is imported into matlab and the brightness value is specified between 1-255. Next we convert the pixel points in the image into a double precision numerical matrix according to the brightness, and use the matrix to generate a 3D histogram, which can intuitively reflect the brightness of different parts of the rubber chart.",
class: "np5"
},{
type: "pic",
maxClass:"max4",
cont: [{
num: 1,
adress: "",
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}
]
},
{
type: "word",
cont: "Figure 6. By directly clicking the point on the model, we can get the coordinates of x, y and z represented by this point. The x and y represent the position of the point in the matrix, and z represents the brightness of the point.",
class: "np5"
},
{
type: "pic",
maxClass:"max4",
cont: [{
num: 1,
adress: "",
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]
},
{
type: "word",
cont: "Figure 7. In order to calculate the average brightness of a DNA strip, the following algorithm is designed. First, input the approximate x, y coordinate range of the strip to be calculated into the program, so that the selected range is a rectangular area. Then calculate the brightness value Ф of the center point of the selected area by computer, and specify a fluctuation value μ. Other points of which brightness Φ(sub)n(subed) in the selected area meets the requirement of Ф-μ<Ф(sub)n(subed)<Ф+μ will be added to the queue. Next we calculate the average value of the brightness at the midpoint of all queues, which can represent the strip brightness.",
class: "np5"
},{
type: "pic",
maxClass:"max4",
cont: [{
num: 1,
adress: "",
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]
},
{
type: "word",
cont: "Figure 8. For example, if we want to find the average brightness of the above DNA bands, we select the region and output the region matrix with D (:, 211:231) and D (203:215,:). Select the center luminance value 208.5 and set the up fluctuation value 40 and down fluctuation value 10. Pick out the data that meet the conditions, then average the values. The red area is the center point data, and the area within the red box is the data that meet the conditions.",
class: "np5"
},{
type: "pic",
maxClass:"max4",
cont: [{
num: 1,
adress: "",
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]
},
{
type: "word",
cont: "Figure 9. Finally, the average value can be output, which represents the average value of brightness in this area. The brightness of the selected DNA bands can reflect the amount of combined ethidium bromide. The DNA content of the bands can also be reflected, so as to carry out other analysis and verification.",
class: "np5"
},
{
type: "word",
cont: "After obtaining the brightness of the target fragment: Ф(sub)DNA(subed) =220.4, we use the same method to obtain the brightness of the target strip with the size of 3000bp of 1kb DNA ladder: Ф(sub)Marker(subed) = 903.41, and we know that L(sub)DNA(subed)= 6092 bp, V(sub)DNA= 3 μL, V(sub)Marke(subed)r= 5 μL, C(sub)Marker(subed)= 20 ng/μL, and bring the above data into the equation:",
class: "np5"
},{
type: "pic",
maxClass:"max4",
cont: [{
num: 1,
adress: "",
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}
] }, { type: "word", cont: "We can reach that C(sub)DNA(subed)=16.51 ng/μL.", class: "np5" }, { type: "word", cont: "Next the data we obtained could be used in other experiments such as DNA connection and this model offerred great help to our experiments.", class: "np5" },
]
}, { title: "Market Prediction Model", para: [
{
type: "word",
cont: "1. Introduction",
class: "np2"
},
{
type: "word",
cont: "To inquire the public acceptance of our gynecology gel and the relationship between market distribution and age group, a market prediction model was built based on the results we obtained from our Human Practices part.",
class: "np5"
},
{
type: "word",
cont: "After analyzing each question in our questionnaires and selecting all the useful questions, we defined different indicators for each option and calculated the evaluation function by age distribution, then we got the results and plotted a figure to show the results more clearly. ",
class: "np5"
},
{
type: "word",
cont: "2. Data Processing",
class: "np2"
},
{
type: "word",
cont: "1. Division of age groups
According to the feedbacks from questionnaires in Human Practices, we divided the age into the following six groups. Mark different Age groups as Age(i), and Age(sub)i(subed) for the number of respondents in each group.
",
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},{
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cont: [{
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},
{
type: "word",
cont: "2. Division of age groups",
class: "np5"
},
{
type: "word",
cont: "From all the questions in the questionnaires, we selected 6 useful questions, which were named Q(sub)j(subed) (j=1~6). The feedbacks of the subjects on these questions directly determined the potential market share of gynecological gel in all ages. These questions are as follows:",
class: "np5"
},{
type: "pic",
maxClass:"max4",
cont: [{
num: 1,
adress: "",
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}
]
},
{
type: "word",
cont: "Each option of these questions was assigned a certain value according to their effect on the result.",
class: "np5"
},
{
type: "word",
cont: "Take Q(sub)2(subed) (Ever had vaginitis.) for example:",
class: "np5"
},
{
type: "word",
cont: "There are two options, “Yes” or “No”, assign them to a(sub)1(subed)=1, a(sub)2(subed)=0 respectively.",
class: "np5"
},
{
type: "word",
cont: "For Age (5):",
class: "np5"
},
{
type: "word",
cont: "Age(sub)5(subed)=368 means “ The number of respondents aged 36~45 is 368”; ",
class: "np5"
},
{
type: "word",
cont: "x(sub)1(subed)=141 means “The number of respondents choosing Yes is 141”;",
class: "np5"
},
{
type: "word",
cont: "x(sub)2(subed)=44 means “The number of respondents choosing No is 44”.",
class: "np5"
},
{
type: "word",
cont: "And we define Result(sub)Qj(Age(i))(subed) as a factor of EvF.",
class: "np5"
},
{
type: "word",
cont: "Then:",
class: "np5"
},{
type: "pic",
maxClass:"max4",
cont: [{
num: 1,
adress: "",
pre: 100,
}
]
},
{
type: "word",
cont: "4. Horizontal analysis:",
class: "np2"
},
{
type: "word",
cont: "We considered all the questions at a certain age, like Age(5), and defined the evaluation function (EvF) as:",
class: "np5"
},{
type: "pic",
maxClass:"max4",
cont: [{
num: 1,
adress: "",
pre: 100,
}
]
},
{
type: "word",
cont: "Take Age(5) for example:",
class: "np5"
},
{
type: "word",
cont: "Except for Q(sub)2(subed), the other questions were analyzed by the same way of previous step;",
class: "np5"
},
{
type: "word",
cont: "Then:",
class: "np5"
},{
type: "pic",
maxClass:"max4",
cont: [{
num: 1,
adress: "",
pre: 100,
}
]
},
{
type: "word",
cont: "5. Vertical analysis:",
class: "np2"
},
{
type: "word",
cont: "After performing horizontal analysis for the other age groups, the EvF of each age group was obtained.",
class: "np5"
},
{
type: "word",
cont: "Then, we got the market share corresponding to each age group by normalization of EvF(sub)Age(i)(subed) (i=1, 2, ... 6). ",
class: "np5"
},
{
type: "word",
cont: "The result is shown in the following table: ",
class: "np5"
},{
type: "pic",
maxClass:"max4",
cont: [{
num: 1,
adress: "",
pre: 100,
}
]
},
{
type: "word",
cont: "6. The relationship between EvF and Age(i) is reflected in the figure below: ",
class: "np5"
},{
type: "pic",
maxClass:"max4",
cont: [{
num: 1,
adress: "",
pre: 100,
}
] },{ type: "word", cont: "Figure 10. The relationship between EvF and Age (i) ", class: "np5" }, { type: "word", cont: "The picture shows that different age groups have different preferences for gynecological gels. People in the 26-55 age group are more receptive to our products. ", class: "np5" },
]
},
{
title: "References",
para: [
{ type: "word", cont: "[1] Prieto M A, Garcia J L. Identification of the 4-hydroxyphenylacetate transport gene of Escherichia coli W: construction of a highly sensitive cellular biosensor[J]. FEBS Lett, 1997, 414(2): 293-7.", class: "np5" }, { type: "word", cont: "[2] Buchler N E, Gerland U, Hwa T. Nonlinear protein degradation and the function of genetic circuits[J]. Proc Natl Acad Sci U S A, 2005, 102(27): 9559-64.", class: "np5" }, { type: "word", cont: "After analyzing each question in our questionnaires and selecting all the useful questions, we defined different indicators for each option and calculated the evaluation function by age distribution, then we got the results and plotted a figure to show the results more clearly. ", class: "np5" }, { type: "word", cont: "[3] Tscherner M, Giessen T W, Markey L, et al. A Synthetic System That Senses Candida albicans and Inhibits Virulence Factors[J]. ACS Synth Biol, 2019, 8(2): 434-444.", class: "np5" }, { type: "word", cont: "[4] Rocha M S. Revisiting the neighbor exclusion model and its applications[J]. Biopolymers, 2010, 93(1): 1-7.
",
class: "np5"
},
{
type: "word",
cont: "2. Division of age groups",
class: "np5"
},
{
type: "word",
cont: "From all the questions in the questionnaires, we selected 6 useful questions, which were named Q(sub)j(subed) (j=1~6). The feedbacks of the subjects on these questions directly determined the potential market share of gynecological gel in all ages. These questions are as follows:",
class: "np5"
},
{
type: "word",
cont: "Each option of these questions was assigned a certain value according to their effect on the result.",
class: "np5"
},
]
},
]
}