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Revision as of 00:36, 18 September 2015

Team:BNU-CHINA - 2015.igem.org

Collaborate with BIT

This year we communicated with team BIT-China ,helping each other at several aspects.

1. We assisted BIT-China with their modeling

It’s our pleasure to assist team BIT-China with their modeling part. We mainly help them to establish a model of substance changes during the pH regulation stage. Specifically, we build a model to link six chemical reactions together, all of which are controlled by pH switch. There is only one chemical reaction with a specific pH, and with the pH changing, the chemical reaction will changes subsequently, which makes the pH range from 5 to 7 smoothly. They prove us the conditions and equations of each chemical reaction stage, and we are responsible for the realization of the procedure during the entire process.

The difficulty that BIT-China meets is how to connect the six groups of chemical reactions together with the pH switch to find out the reaction time and the results of each chemical reaction, in order to draw a image to reflect the pH variation trend with time. Because some of our team members are majoring in physics, math, computer science and chemistry, we have plenty experience in the solution of differential equations, application of MATLAB and design of procedure. With these resources, we have helped them solve their problems successfully.

The differential reaction equations of the chemical reactions are as follows:

Table 1. The meaning of variables used in differential reaction equations
Variables Meanings
X1 Promoter induced by base
X2 C(OH-)
X3 p-atp2 and hydroxide ion
X4 Cre mRNA
X5 Cre
X6 J23119 that can express acid
X7 mldhA mRNA
X8 mldhA
X9 IdhA
X10 p-asr
X10 C(H+)
X11 p-asr and H+
X12 Flp mRNA
X13 Flp mRNA
X14 Flp mRNA
X15 J23119 that can express base
X16 gadA mRNA
X17 gadA
X18 GABA

Group A:(condition: 7 \(\leq\) pH \(\leq\) 9

\(\begin{equation} \left\{ \begin{array}{l} dx_1 = -0.003 * x_1 * x_2 + 0.002 * x_3\\ dx_2=-0.003 * x_1 * x_2 + 0.002 * x_3 - 0.03 * x_2 * x_9 \\ dx_3=0.003 * x_1 * x_2 - 0.002*x_3 \\ dx_4=0.02 * x_3 - 0.002 * x_4 \\ dx_5=0.03 * x_4 - 0.003 * x_5 \\ dx_6=0.02 * x_5 \\ dx_7=0.002 * x_6 - 0.02 * x_7 \\ dx_8=0.003*x_7 - 0.03 * x_8 \\ dx_9=0.07 * 0.2 * x_8 / (((0.07+0.0005)/0.003)+0.2)-0.03*x2*x9 \\ dx_{10}=0 \\ dx_{11}=0 \\ dx_{12}=0 \\ dx_{13}=0 \\ dx_{14}=0 \\ dx_{15}=0\\ dx_{16}=0\\ dx_{17}=0\\ dx_{18}=0\\ \end{array} \right. \end{equation} \)


Group B(condition: 5 < pH <7)

\(\begin{equation} \left\{ \begin{array}{l} dx_1 = 0\\ dx_2 = -0.03 * x2 * x9 \\ dx_3 = 0 \\ dx_4 = 0 \\ dx_5 = 0 \\ dx_6 = 0 \\ dx_7 = 0.02 * x6 - 0.003 * x7 \\ dx_8 = 0.03*x7-0.03*x8 \\ dx_9 = 0.07*0.2*x8/(((0.07+0.0005)/0.003)+0.2)-0.03*x2*x9 \\ dx_{10} = 0 \\ dx_{11} = 0 \\ dx_{12} = 0 \\ dx_{13} = 0 \\ dx_{14} = 0 \\ dx_{15} = 0\\ dx_{16} = 0\\ dx_{17} = 0\\ dx_{18} = 0\\ \end{array} \right. \end{equation} \)


Group C(conditon: pH = 5,terminate condition: x7=0)

\(\begin{equation} \left\{ \begin{array}{l} dx_1 = 0\\ dx_2 = 0 \\ dx_3 = 0 \\ dx_4 = 0 \\ dx_5 = 0 \\ dx_6 = -0.02 * x14 * x6 \\ dx_7 = 0.02 * x6 - 0.003 * x7 \\ dx_8 = 0.03 * x7 - 0.03 * x8 \\ dx_9 = 0.07 * 0.2 * x8 / (((0.07+0.0005) / 0.003) + 0.2) - 0.03 * (10^(-14) / x11) * x9 \\ dx_{10} = -0.003 * x10 * x11 + 0.002 * x12 \\ dx_{11} = -0.003 * x10 * x11 + 0.002 * x12 \\ dx_{12} = 0.003 * x10 * x11 - 0.002 * x12 \\ dx_{13} = 0.02 * x12 - 0.002 * x13 \\ dx_{14} = 0.03 * x3 - 0.003 * x14\\ dx_{15} = 0\\ dx_{16} = 0\\ dx_{17} = 0\\ dx_{18} = 0\\ \end{array} \right. \end{equation} \)


Group D(condition: pH < 5)

\(\begin{equation} \left\{ \begin{array}{l} dx_1 = 0\\ dx_2 = 0 \\ dx_3 = 0 \\ dx_4 = 0 \\ dx_5 = 0 \\ dx_6 = 0 \\ dx_7 = 0 \\ dx_8 = 0 \\ dx_9 = 0\\ dx_{10} = -0.003 * x10 * x11 + 0.002 * x12 \\ dx_{11} = -0.003 * x10 * x11 + 0.002 * x12 - 0.03 * x11 * x18\\ dx_{12} = 0.003 * x10 * x11 - 0.002 * x12 \\ dx_{13} = 0.02 * x12 - 0.002 * x13 \\ dx_{14} =0.003 * x13 - 0.003 * x14\\ dx_{15} = 0.02 * x14 \\ dx_{16} = 0.02 * x15 - 0.003 * x16 \\ dx_{17} = 0.03 * x16 - 0.03 * x17 \\ dx_{18} = 0.07 * 0.2 * x17 / (((0.07+0.0005)/0.003)+0.2)- 0.03 * x11 * x18 \\ \end{array} \right. \end{equation} \)


Group E(condition 5 < pH \(\leq\) 7)

\(\begin{equation} \left\{ \begin{array}{l} dx_1 = 0\\ dx_2 = 0 \\ dx_3 = 0 \\ dx_4 = 0 \\ dx_5 = 0 \\ dx_6 = 0 \\ dx_7 = 0 \\ dx_8 = 0 \\ dx_9 = 0\\ dx_{10} = 0 \\ dx_{11} = -0.03 * x11 * x18 \\ dx_{12} =0 \\ dx_{13} = 0 \\ dx_{14} = 0\\ dx_{15} = 0 \\ dx_{16} = 0.02 * x15 - 0.003 * x16 \\ dx_{17} = 0.03 * x16 - 0.03 * x17 \\ dx_{18} = 0.07 * 0.2 * x17 / (((0.07+0.0005)/0.003)+0.2)- 0.03 * x11 * x18 \\ \end{array} \right. \end{equation} \)


Group F(conditon: pH = 7,terminate condition: x15 = 0)

\(\begin{equation} \left\{ \begin{array}{l} dx_1 = -0.003 * x1 * x2 + 0.002 * x3 \\ dx_2 = -0.003 * x1 * x2 + 0.002 * x3 \\ dx_3 = 0.003 * x1 * x2 - 0.002 * x3 \\ dx_4 = (0.02 * x3) - 0.002 * x4\\ dx_5 = 0.03 * x4 - 0.003 * x5 \\ dx_6 = 0 \\ dx_7 = 0 \\ dx_8 = 0 \\ dx_9 = 0\\ dx_{10} = 0 \\ dx_{11} = -0.03 * x11 * x10 \\ dx_{12} =0 \\ dx_{13} = 0 \\ dx_{14} = 0\\ dx_{15} = -0.02 * x5 * x15 \\ dx_{16} = 0.02 * x15 - 0.003 * x16 \\ dx_{17} = 0.03 * x16 - 0.03 * x17 \\ dx_{18} = 0.07 * 0.2 * x17 / (((0.07+0.0005)/0.003)+0.2)- 0.03 * x11 * x18 \\ \end{array} \right. \end{equation} \)


After many thorough discussions with BIT-China, we fully understand the background of their modeling , and what problems they want to settle. Meanwhile, we helped them found some problems. For example, the variable numbers of each equations are inconsistent, and the parameter settings of some equations don’t accord with the fact.

First of all, by adjusting a series of independent variables and correcting the parameters, we solved the problems above. We gain the numerical solution of the equation by applying the Runge-Kutta Method as well. The method is suitable for differential equation system in different dimensions with high efficiency. According to concentration of hydroxide ion in equation ABCDE group , we get the PH and use the PH to judge the termination condition. In equation C and F, we jump out the conditions according to concentration of specific substances. The initial value of every equation group is the terminal value of the last equation group. By this way we achieve the whole cycle process and finally get dynamic image of PH.

Fig. 1 The dynamic change of pH during the regulation process

The initial concentration of OH- is 0.2×10-6, and the initial pH is higher than 7, so the whole reaction starts from Group A, and the reactions are, in order, Group A,B,C,D,E,F,A,B,C,D,E,F.

2. We helped BIT-China to detect protein NhaA and NhaB.

BIT-China’s project this year is about regulating pH, thus they need to express two kinds of membrane proteins, NhaA and NhaB. Taking account of the fact that membrane proteins are especially hard to express and detect, we offered to help them with this part. To this end, we reviewed an amount of relevant literature and consulted several professors of this field, on which basis we tried various protocols to express, purify and detect NhaA as well as NhaB.

Initially we did SDS-PAGE of the whole protein of bacteria, and the result is showes as below (Fig. 2). To put it in detail, we centrifuged 5 mL bacterium solution under overnight shake culture at 4°C, 6000rpm for 10 minutes, which was boiled for 10 minutes, then with protein loading buffer added. Afterwards we run SDS-PAGE of the mixture with the running gel concentration 12%.

Fig. 2 SDS-PAGE of whole-cell protein

As the whole cell was too stick, we couldn’t make an accurate estimation from the result, but anyway there was no sign of expression of the objective proteins whose molecular weight are about 46 kDa. Then we tried normal SDS-PAGE of the homogenate and supernatant and the result came out as Fig.3 has shown.

Fig. 3 Normal SDS-PAGE of NhaA and NhaB

Lane 1, molecular weight standards (kDa); Lane 2-4, the homogenate of pSB1C3, NhaA and NhaB; Lane 5,6 and 8, the supernatant of pSB1C3, NhaA and NhaB, Bacteria transformed with plasmid pSB1C3 as a negative control.

The bands this time were clearer to see, whereas still there was no significant difference between the empty vector plasmid and the transformed ones.

After two times of unsuccessful attempts, we searched the internet and reviewed some literatures of a reliable protocol for membrane extraction and detection. With the protocols collected we processed the experiment the third time.

Fig.4 SDS-PAGE of extracted membrane proteins

Lane 1, molecular weight standards (kDa); lane 2-4, the sediment of pSB1C3, NhaA and NhaB after centrifuging for the second time; Lane 5-7, the supernatant of pSB1C3, NhaA and NhaB after centrifuging for the second time; Lane 8-10, the supernatant of pSB1C3, NhaA and NhaB after centrifuging for the first time. Bacteria transformed with plasmid pSB1C3 as a negative control.

From this result we can conclude that there did exist some differences between the bands of controlled plasmid and the experimental ones, whereas it seemed these differences had nothing to do with our objective product. So it came out that we failed another time.

Relevant agent formula:

1. protein lysis buffer
Tris-HCl (pH=8.0) Sucrose β-mercaptoethanol
85 mL 25.67 g 15 mL

Membrane solution buffer

protein lysis buffer : urea solution (8M) = 4 : 1 (volume ratio ))

Therefore, it’s a pity that we failed to detect those two proteins, but we were able to give some opinions to BIT-China about this detection through our experience:

  1. Changing the expression strain specially for overexpressing of NhaA and NhaB according to the literature[1], the details are in the table 2.
  2. Doing western blot if possible.

This experience makes us learn much about membrane proteins which we believe would work sooner or later. More importantly, it helps us two teams communicate frequently and therefore develop a tight relationship eventually.

Table.2 Bacteria strains specially for overexpressing NhaA

BIT-China helped us to assemble one of our biobricks.

BIT-China has rich experience for biobrick assembly, so they offered to help us assemble one of our biobricks as shown below. It’s really a big favor to us and we are greatly appreciated for that.

Collaborate with ZJU-China

Last year, team ZJU-China constructed a kind of reverse promoter which we designed to add to our biobricks this year. So they generously provide us with these biobricks. We appreciated ZJU-China very much and we are looking forward to further cooperation in the future.

They constructed two main circuits, first one expresses a serine integrase. This intergrase can exclusively catalyze site-specific recombination between attB and attP, the attachment sites on phage chromosome and host chromosome. This recombination results in the reverse of the sequence between attB and attP, changing the two sites to attL and attR at the meantime. This inversion can be reversible by appropriately controlling the conditional expression of integrase and an excisionase in Bxb1 named gp47 at certain ratio. They change start codon ATG to GTG for a appropriate expression quantity.

Fig.0 With ZJU

The second one contains a switch, two reporters, two RBS and terminators. At first, the plasmid expresses GFP, when gp35 is expressed, the switch will turn around and RFP on the other side of the plasmid is going to be expressed.

Fig.0 With ZJU

Map of those two circuits are shown below.

Fig.0 With ZJU
Fig.0 With ZJU

And figures below show us circuit 1 and 2 using Agarose Gel Electroporesis.

Fig.0 With ZJU
Fig.0 With ZJU

They performed experiment to see whether their circuits work. From the figure above, they found out that when only circuit 2 is transformed (A), GFP is expressed, when both of the two circuits are transformed, the switch turns and RFP is expressed.

Fig.0 With ZJU

Map of those two circuits are shown above.

And figures below show us circuit 1 and 2 using Agarose Gel Electroporesis.

We performed experiment to see whether our circuits work. From the figure above, we can find out that when only circuit 2 is transformed (A), GFP is expressed, when both of the two circuits are transformed, the switch turns and RFP is expressed.

  1. Padan E, Dwivedi M. Overexpression, Isolation, Purification, and Crystallization of NhaA[J]. Methods in Enzymology, 2015, 557.