在我们的表征实验中,STAR可以有效抑制下游基因的表达。我们采用sfGFP(BBa_K515005)作为下游的报告基因,对应STAR1/3系统设计了Target有无的对照(见图1),监测其生长过程中荧光值和OD值的变化。
如图1A、1B所显示,在培养的400min里,有Target1或Target3存在时sfGFP的表达明显地降低。而在两个STAR系统的比较中,可以看出由我队设计并改进的STAR3系统的target抑制效果更好,其荧光值只略高于空白对照,与无target情况下sfGFP的表达形成鲜明对照。在实验中我们有平行进行三次生物学重复,其结果一致显示Target3的抑制下过更强。图3C表现出在培养的第600min,不同实验组的标准荧光值差距。这里我们取荧光值/OD600来消除细菌生长对荧光值带来的影响。
当系统中只有T(target)存在时,下游基因的表达被关闭;A(antisense)和T(target)同时存在时,T的抑制作用被关闭,下游基因重新活跃表达。我们以sfGFP作为报告基因,验证了STAR系统的这种功能。
图4A/4B中的结果显示在500分钟的培养中,大肠杆菌有STAR系统--Target和Antisense同时存在的情况下sfGFP的表达明显升高。图3C/3D代表考虑到OD值的标准荧光值。这些图片里的数据显示,在培养的第600分钟有STAR系统的情况下,sfGFP表达量分别升高了超过两倍(对STAR1)和四倍(对STAR3)。这说明STAR 成功地对基因回路中基因表达起了抑制作用。
In order to achieve visualization and multi-factor detection simultaneously, we selected chromoproteins as downstream expression gene. In a large number of pigment proteins, we chose those with obvious color distinction, that is the three primary colors RGB (red, green, blue) for the experiment. We used eforRed (BBa_K2285012), amilGFP (BBa_K592010), cjBlue (BBa_K592011), amilCP (BBa_K1357009) to represent the corresponding three primary colors.
In the experiment, we linked Targets with four chromoproteins. On the dual-expression vector (STAR1 system on pCDFDuet-1 vector, STAR2 system on pETDuet-1 vector) and the relevant Antisense 1 and Antisense 3. Therefore, for future users, this kind of gene circuit can be inserted downstream of other corresponding response elements, such as operon, repressor and so on to obtain different expression of chromoproteins induced by different external stimuli, and then the visible depth of different colors can reflect the quantity of the stimuli.
eforRed | amilGFP | amilCP | cjBlue | |
STAR1 | In stock | In stock | In stock | In stock |
STAR3 | Not in stock | In stock | In stock | Not in stock |
The table above shows the STAR system with chromoproteins that we have now verified. We have submitted standardized parts of the corresponding all eight Target + chromoprotein on the plasmid pSB1C3, and the corresponding Antisense on pSB1C3. We also welcome the future iGEM teams to contact us and we are happy to provide a complete plasmid for the STAR 1 / STAR 3 × chromoproteins on the dual-expression vector (pETDuet-1, pCDFDuet-1) for further construct other circuit using for detection.
In order to prevent the limitations and errors produced by human eyes and achieve greater accuracy and convenience to measure on the basis of the visualization effect, and at the same time to meet the easy operation and cost-effective characteristics, we designed a simple pumping device, an app for analysis of results and a box providing a stable environment for the camera. More detailed information please look to the Detector and Analysis page of our wiki.
During experiments to validate the responsiveness of the STAR system, we constructed two systems mediated by lac operon and As promoter. The lac operon is the one on MCS1 of plasmid pCDFDuet-1, and As promoter is provided by iGEM2006_Edinburgh BBa_J33201.
The characterization of lac responsiveness is mainly carried out using the STAR1 system, and sfGFP, which is more easily quantitatively monitored, is used as a downstream reporter gene to determine its accuracy. Afterwards, by using eforRed as the reporter gene, visualization of pigments was performed.
From the above, fluorescence emitted by gene under the control of STAR1 system containing lac operon changes over time. The difference between the group treated with ITPG and the control becomes greater and greater. The fluorescence of ITPG group generally not higher than the control and 10 hours after treating ITPG, fold activation reach a value of 6, which indicates that our STAR system is very effective as a RNA switch. Due to the limitation of time, we haven’t finished the characterization of STAR3 and chromoproteins so we plan to continue the rest of our work in the future. What’ more, according to the results from our characterization experiment, STAR3 system has greater fold activation than STAR1. There is every reason to believe that STAR3 system can response to change of environment more accurately. STAR systems are actually competent candidates for molecular switch.
On the part of regulation of As promoter, we have built the complete STAR3 system that can sense As3+. From the electrophoretogram, the first band is about 600-700bp, indicating the existence of As+A3, and the second band, about 900bp long, indicates the existence of T3+sfGFP. All of these result prove the success of our construction. In fact, we have proved that our construct is correct via Sanger Sequencing.
Due to the strong orthogonality of STAR system and the differences between colors of selected chromoproteins, we can build a multi-factor detection reporting system. In a multi-factor detection, the double-factor detection is the most direct and easiest to distinguish. The future iGEM team can use our reporting system to build their own multifactorial detection system by adding different downstream reporter genes.
To simulate the actual situation in multifactorial responds to the color changes incurred by factors of interest, we started with co-transformation of two plasmids containing different chromoproteins.
We tried to use heavy metal ions as concrete examples of multiple factors. In the experiment, we selected As promoter and Co promoter as Antisense starting elements. Specifically, in the presence of As3 + and Co2 +, the corresponding repressor is released, activating the expression of antisense, subsequently reducing the inhibitory effect of Target. Next, downstream chromoproteins are expressed, resulting in obvious changes of colors. At the same time in a certain range of metal ion concentration, when the metal ion concentration increases, more Target are disrupted by Antisense, and the color gets brighter and brighter. And two STAR systems were established on different compatible plasmid backbone: pCDF duet-1, pET duet-1, which provided convenience for the transfer of the two expression vectors into the same host E. coli.
We have successfully construct STAR 1 system with Co promoter and STAR 3 system with As promoter separately. And the electrophoretogram and sequencing both accord with the design. But because of the time limit, we haven’t done characterization experiments about multi-factor detection.
- Chappell J, Takahashi MK, Lucks JB. 2015. Creating small transcription activating RNAs. Nat Chem Biol 11:214–220.
- Meyer, S., Chappell, J., Sankar, S., Chew, R., and Lucks, J. B. (2016) Improving fold activation of small transcription activating RNAs (STARs) with rational RNA engineering strategies Biotechnol. Bioeng. 113, 216.