Difference between revisions of "Part:BBa J10050:Experience"

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= Characterization of weak promoter (BBa_J23113) and weak RBS (BBa_B0031) =
 
= Characterization of weak promoter (BBa_J23113) and weak RBS (BBa_B0031) =
  
We used an ''E. coli'' TOP10 strain transformed with two medium copy plasmids (about 15 to 20 copies per plasmid and cell). The first plasmid contained the commonly used p15A origin of replication, a kanamycin resistance gene, and promoter [https://parts.igem.org/Part:BBa_R0079 pLas (BBa_R0079)] followed by [https://parts.igem.org/Part:BBa_B0034 RBS (BBa_B0034)] and superfolder green fluorescent protein (sfGFP). In general, for spacer and terminator sequences the parts [https://parts.igem.org/Part:BBa_B0040 BBa_B0040] and [https://parts.igem.org/Part:BBa_B0015 BBa_B0015] were used, respectively. The second plasmid contained the pBR322 origin (pMB1), which yields a stable two-plasmid system together with p15A, an ampicillin resistance gene, and a strong promoter [https://parts.igem.org/Part:BBa_J23100 (BBa_J23100)] chosen from the [https://parts.igem.org/Promoters/Catalog/Anderson Anderson promoter collection] followed by one of the three different regulators ([https://parts.igem.org/Part:BBa_C0062 LuxR], [https://parts.igem.org/Part:BBa_C0179 LasR], and [https://parts.igem.org/Part:BBa_C0171 RhlR]) used in the experiments in order to quantify crosstalk with [https://parts.igem.org/Part:BBa_I14017 pRhl]. The detailed regulator construct design and full sequences (piG0040, piG0041, piG0042, piG0060) are [http://2014.igem.org/Team:ETH_Zurich/lab/sequences available here]. In the following, we describe the experimental set-up and all the different levels of crosstalk we have assessed.
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Differences in promoter strength had more effect on enzymatic expression compared to differences in RBS strengths as evidenced in the graphs below. Lambert_GA 2019 had originally thought that BBa_J10050 would result in the least amount of expression out of the tested combinations, but this part, along with BBa_J10051 and BBa_J10052, all shared the lowest expression out of the combinations. This is due to the translation rate not being an important factor in the determination of expression of ONP; however, the promoter strength is a significant factor. In other words, expression values are significantly different with different promoters but not with different RBS strengths.
  
 
[[File:ETH Zurich 1crosstalkPrhl.png|400px|thumb|center| '''Figure 1 Overview of possible crosstalk of the [https://parts.igem.org/Part:BBa_C0171 RhlR]/[https://parts.igem.org/Part:BBa_I14017 pRhl] system with three different [[AHL|AHLs]].''' Usually, [[AHL|C4-HSL]] binds to its corresponding regulator, [https://parts.igem.org/Part:BBa_C0171 RhlR], and activates the [https://parts.igem.org/Part:BBa_I14017 pRhl] promoter (green). However, [https://parts.igem.org/Part:BBa_C0171 RhlR] may also bind [[AHL|3OC12-HSL]] (red) or [[3OC6HSL|3OC6-HSL]] (light blue) and then unintentionally activate [https://parts.igem.org/Part:BBa_I14017 pRhl].]]
 
[[File:ETH Zurich 1crosstalkPrhl.png|400px|thumb|center| '''Figure 1 Overview of possible crosstalk of the [https://parts.igem.org/Part:BBa_C0171 RhlR]/[https://parts.igem.org/Part:BBa_I14017 pRhl] system with three different [[AHL|AHLs]].''' Usually, [[AHL|C4-HSL]] binds to its corresponding regulator, [https://parts.igem.org/Part:BBa_C0171 RhlR], and activates the [https://parts.igem.org/Part:BBa_I14017 pRhl] promoter (green). However, [https://parts.igem.org/Part:BBa_C0171 RhlR] may also bind [[AHL|3OC12-HSL]] (red) or [[3OC6HSL|3OC6-HSL]] (light blue) and then unintentionally activate [https://parts.igem.org/Part:BBa_I14017 pRhl].]]

Revision as of 11:05, 21 October 2019


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Applications of BBa_J10050

User Reviews

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••••

ETH Zurich 2014

Characterization of weak promoter (BBa_J23113) and weak RBS (BBa_B0031)

Differences in promoter strength had more effect on enzymatic expression compared to differences in RBS strengths as evidenced in the graphs below. Lambert_GA 2019 had originally thought that BBa_J10050 would result in the least amount of expression out of the tested combinations, but this part, along with BBa_J10051 and BBa_J10052, all shared the lowest expression out of the combinations. This is due to the translation rate not being an important factor in the determination of expression of ONP; however, the promoter strength is a significant factor. In other words, expression values are significantly different with different promoters but not with different RBS strengths.

Figure 1 Overview of possible crosstalk of the RhlR/pRhl system with three different AHLs. Usually, C4-HSL binds to its corresponding regulator, RhlR, and activates the pRhl promoter (green). However, RhlR may also bind 3OC12-HSL (red) or 3OC6-HSL (light blue) and then unintentionally activate pRhl.

Second Level crosstalk: other regulatory proteins, like LuxR and LasR, bind to their natural AHL substrate and activate the pRhl promoter

In the conventional system C4-HSL binds to its corresponding regulator, RhlR, and activates the pRhl promoter (Figure 2, green). However, pRhl can potentially be activate by other regulators (LuxR, LasR), binding their corresponding regulator (figure 2, 3OC6-HSL in light blue, 3OC12-HSL in red). This leads then to unwanted gene expression (crosstalk).

Figure 2 Overview of possible crosstalk of the RhlR/pRhl system with two additional regulators (LuxR and LasR). Usually, RhlR together with inducer C4-HSL activate their corresponding promoter pRhl (green). However, pRhl may also be activated by the LuxR regulator together with 3OC6-HSL (light blue) or by the LasR regulator together with 3OC12-HSL (red).

Second order crosstalk: Combination of both cross-talk levels

The second order crosstalk describes unintended activation of pRhl by a mixture of both the levels described above. The regulator and inducer are being different from RhlR and C4-HSL, respectively, and at the same time they do not belong to the same module. For example, the inducer 3OC6-HSL (light blue), usually binding to the regulator LuxR, could potentially interact with LasR regulator (red) and together activate pRhl (green). This kind of crosstalk is explained in Figure 3.

Figure 3 Overview of possible crosstalk of the pRhl promoter with both the regulator and inducer being unrelated to the promoter and each other. Usually, RhlR together with inducer C4-HSL activate their corresponding promoter pRhl (green). However, pRhl may also be activated by another regulator together with an unrelated inducer. For example, the inducer 3OC6-HSL (light blue) may interact with the LasR regulator (red) and together activate pRhl (green).

Results

Table 1 Crosstalk matrix for the promoter prhl (BBa_I14017)

In this set of experiments the promoter pRhl was tested for potential crosstalk. In the top left position we observe the induction of pRhl by C4-HSL bound to the regulator RhlR. The switching behaviour was observed at a C4-HSL concentration of 1 μM. In the case of 3OC12-HSL binding the RhlR regulator and subsequently the promoter pRhlinsignificant crosstalk has been observed. Severe crosstalk was observed in the case of 3OC6-HSL binding the RhlR regulator followed by induction of pRhl. The transition occurred at a concentration of the inducer molecule of 1 μM but compared to the reference curve a lower value of fluorescence per OD was observed (1000 a.u.). Another case of crosstalk with the pRhl was detected with 3OC12-HSL binding to the corresponding LasR regulator followed by inducing the promoter pRhl. Here switching occurred at a concentration 1 nM of 3OC12-HSL and reached fluorescence per OD of 750 a.u.. This is approximately 0.5 fold the value of the fluorescence per OD shown by the reference curve indicated in green.

ETH Zurich 2014 qs-table CornerRhl.png ETH Zurich 2014 qs-table C4-HSL.png ETH Zurich 2014 qs-table 3OC6-HSL.png ETH Zurich 2014 qs-table 3OC12-HSL.png
ETH Zurich 2014 qs-table RhlR.png ETH Zurich 2014 qs-table PrhlRef.png ETH Zurich 2014 qs-table PrhlRhlRLuxAHL.png ETH Zurich 2014 qs-table PrhlRhlRLasAHL.png
ETH Zurich 2014 qs-table LuxR.png ETH Zurich 2014 qs-table PrhlLuxRRhlAHL.png ETH Zurich 2014 qs-table PrhlLuxRLuxAHL.png ETH Zurich 2014 qs-table PrhlLuxRLasAHL.png
ETH Zurich 2014 qs-table LasR.png ETH Zurich 2014 qs-table PrhlLasRRhlAHL.png ETH Zurich 2014 qs-table PrhlLasRLuxAHL.png ETH Zurich 2014 qs-table PrhlLasRLasAHL.png

Modeling crosstalk

Each experimental data set was fitted to an Hill function using the Least Absolute Residual method.

ETHZ HillEq.png

The fitting of the graphs was performed using the following equation :

rFluo = the relative fluorescence (absolute measured fluorescence value over OD)[a.u.]
a = basal expression rate [a.u.](“leakiness”)
b = maximum expression rate [a.u.]("full induction")
n = Hill coefficient (“cooperativity”)
Km = Half-maximal effective concentration (“sensitivity”)
[AHL] = AHL concentration [nM]


Parameters of HillFunction for crosstalk with Prhl (with 95% confidence bounds)
C4-HSL 3OC6-HSL 3OC12-HSL
RhlR a = 178.4 (174.9, 182) [a.u.]
n = 1.053 (0.9489, 1.157)
Km = 1969 (1625, 2313) [nM]
b = 1736 (1629, 1842) [a.u.]
a = 169.1 (155.2, 182.9) [a.u.]
n = 0.507 (0.2303, 0.7837)
Km = 1.08e8(0, 2.681e10) [nM]
b = 9.708e4 (0, 1.192e7) [a.u.]
a = 162.8 (150.4, 175.1) [a.u.]
n = 0.404 (0, 0.998)
Km = 9.627e8 (0, 7.824e11) [nM]
b = 2.537e4 (0, 8.109e6) [a.u.]
LuxR No crosstalk No crosstalk No crosstalk
LasR No crosstalk No crosstalk a = 149.3 (140.6, 158.1) [a.u.]
n = 1.366 (0.808, 1.923)
Km = 1.674 (1.259, 2.09) [nM]
b = 628.9 (599, 658.7) [a.u.]


Antiquity

This review comes from the old result system and indicates that this part did not work in some test.












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