Team:Peking R/Project/RNAToolkit4

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   <p align="left" class="TITLE2"><strong>An ON-OFF Selection for RNA Controller Evolving</strong>  </p>
   <p align="left" class="TITLE2"><strong>An ON-OFF Selection for RNA Controller Evolving</strong>  </p>
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   <p class="mainbody">It is easy to understand that the number of  sites we can control depends on the RNA controllers we have in our toolbox. As  the available RNA controllers are limited and existing gene switches that  function in living cells are challenging due to the inherent complexity of themselves  and complex intracellular milieu, it is necessary to develop a general method  to construct new RNA controllers for the purpose of optimizing advanced  RNA-based regulation. Though several strategies for the design or construction of  artificial RNA controllers have been developed, they are either too limited or  too complicated. We aim to develop a novel method of RNA controller design and  construction, which has general interest and can be widely used. As there have  already been diversities of RNA sequences binding to various kinds of ligands,  we propose that, by swapping these aptamers with those of existed RNA  controllers, more novel RNA controllers regulated by various ligands can be  implemented. <a name="OLE_LINK19" id="OLE_LINK19">Reassuringly, J</a>örg S. Hartig et al. presented that it  is possible to design novel artificial riboswitches by coupling a natural  aptamer domain to a self-cleaving ribozyme <a href="#r1">[7]</a>.  On the other hand, <a name="OLE_LINK2" id="OLE_LINK2"></a><a name="OLE_LINK1" id="OLE_LINK1">Yohei Yokobayashi et al</a>., established  an efficient platform for genetic switch selection<a href="#r2"> [1]</a>.  Inspired by these two methodologies, we combined them to develop a standard  method to synthesize new RNA controllers.</p>
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   <p class="mainbody">It is easy to understand that the number of  sites we can control depends on the RNA controllers we have in our toolbox. As  the available RNA controllers are limited and existing gene switches that  function in living cells are challenging due to the inherent complexity of themselves  and complex intracellular milieu, it is necessary to develop a general method  to construct new RNA controllers for the purpose of optimizing advanced  RNA-based regulation. Though several strategies for the design or construction of  artificial RNA controllers have been developed, they are either too limited or  too complicated. We aim to develop a novel method of RNA controller design and  construction, which has general interest and can be widely used. As there have  already been diversities of RNA sequences binding to various kinds of ligands,  we propose that, by swapping these aptamers with those of existed RNA  controllers, more novel RNA controllers regulated by various ligands can be  implemented. Reassuringly, Jörg S. Hartig et al. presented that it  is possible to design novel artificial riboswitches by coupling a natural  aptamer domain to a self-cleaving ribozyme <a href="#r1">[7]</a>.  On the other hand, Yohei Yokobayashi et al</a>., established  an efficient platform for genetic switch selection<a href="#r2"> [1]</a>.  Inspired by these two methodologies, we combined them to develop a standard  method to synthesize new RNA controllers.</p>
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   <p class="mainbody">As mentioned above, Jörg S. Hartig et al.  demonstrated that the natural aptamer domain could be used to construct  artificial ribozyme-based genetic switches<a href="#r3"> [7]</a>.  First of all, they coupled the thiM aptamer domain of thethiamine pyrophosphate  (TPP) riboswitch (from <em>E. coli</em>) to <a name="OLE_LINK21" id="OLE_LINK21">the stem III</a> of a fast- cleaving hammerhead ribozyme  (from <em>Schistosoma mansonii</em>).  Hammerhead ribozyme is one of the simplest formats of ribozymes with clearly  depicted mechanism. Its stem I/stem II tertiary interaction leads to the  closure of the ribozyme and stabilizes the active conformation, accompanying  the cis-cleavage reaction. Therefore, the  binding of TPP molecule to its aptamer stimulates the liberation of the  ribosome binding site (RBS) by TPP-dependent, fast cleavage. Next, to erase the  trade-off between the specificity of the aptamer and the cleavage activity of  the hammerhead ribozyme as much as possible, they <a name="OLE_LINK22" id="OLE_LINK22">randomized  six nucleotides</a> of the region connecting the aptamer and the ribozyme to  perform an in vivo screeningto select functional RNA switches. After screened  4000 clones, they found an expected riboswitch with high performance.</p>
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   <p class="mainbody">As mentioned above, Jörg S. Hartig et al.  demonstrated that the natural aptamer domain could be used to construct  artificial ribozyme-based genetic switches<a href="#r3"> [7]</a>.  First of all, they coupled the thiM aptamer domain of thethiamine pyrophosphate  (TPP) riboswitch (from <em>E. coli</em>) to the stem III</a> of a fast- cleaving hammerhead ribozyme  (from <em>Schistosoma mansonii</em>).  Hammerhead ribozyme is one of the simplest formats of ribozymes with clearly  depicted mechanism. Its stem I/stem II tertiary interaction leads to the  closure of the ribozyme and stabilizes the active conformation, accompanying  the cis-cleavage reaction. Therefore, the  binding of TPP molecule to its aptamer stimulates the liberation of the  ribosome binding site (RBS) by TPP-dependent, fast cleavage. Next, to erase the  trade-off between the specificity of the aptamer and the cleavage activity of  the hammerhead ribozyme as much as possible, they randomized  six nucleotides</a> of the region connecting the aptamer and the ribozyme to  perform an in vivo screeningto select functional RNA switches. After screened  4000 clones, they found an expected riboswitch with high performance.</p>
   <p class="mainbody">Besides,  Yohei Yokobayashi et al. established an  efficient selection and screen platform for genetic switches. The most critical  component in this platform is a fusion protein in which tetA, which encodes a  tetracycline/H+ antiporter as both a positive and a negative selection marker,  was fused with a green fluorescent protein (gfpuv) via a flexible peptide  linker. This fusing protein is used as a dual selection and screening marker  for laboratory evolution of genetic controller: when the genetic switch (in our  case, the riboswitches) is open, TetA will be expressed and endow resistance to  tetracycline (ON selection) to bacterial cell. However, in turn the  overexpression of this membrane-bound protein (TetA-GFP) makes cells more  sensitive to toxic metal salts such as NiCl2 (OFF selection). </p>
   <p class="mainbody">Besides,  Yohei Yokobayashi et al. established an  efficient selection and screen platform for genetic switches. The most critical  component in this platform is a fusion protein in which tetA, which encodes a  tetracycline/H+ antiporter as both a positive and a negative selection marker,  was fused with a green fluorescent protein (gfpuv) via a flexible peptide  linker. This fusing protein is used as a dual selection and screening marker  for laboratory evolution of genetic controller: when the genetic switch (in our  case, the riboswitches) is open, TetA will be expressed and endow resistance to  tetracycline (ON selection) to bacterial cell. However, in turn the  overexpression of this membrane-bound protein (TetA-GFP) makes cells more  sensitive to toxic metal salts such as NiCl2 (OFF selection). </p>
   <p class="mainbody">In details, this dual genetic selection  process includes four steps (Fig.1A): Firstly, a genetic switch mutant library  was established; Secondly, after incubated with ligand under nonselective  conditions to stabilize TetA-GFPuv expression, ON cells were selected by  addition of tetracycline; Thirdly, the selected cells were grown under  nonselective conditions to readjust TetA-GFPuv expression levels and then OFF  cells are selected by addition of NiCl2. After one round of the  genetic selection, selected individual bacterial clones are inoculated and  quantitatively assayed for the gene switch activity by measuring GFPuv  fluorescence.</p>
   <p class="mainbody">In details, this dual genetic selection  process includes four steps (Fig.1A): Firstly, a genetic switch mutant library  was established; Secondly, after incubated with ligand under nonselective  conditions to stabilize TetA-GFPuv expression, ON cells were selected by  addition of tetracycline; Thirdly, the selected cells were grown under  nonselective conditions to readjust TetA-GFPuv expression levels and then OFF  cells are selected by addition of NiCl2. After one round of the  genetic selection, selected individual bacterial clones are inoculated and  quantitatively assayed for the gene switch activity by measuring GFPuv  fluorescence.</p>
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       <td><p align="left" class="picturemark"><strong>Figure  1.  </strong>Dual genetic selection process of gene  switches.<strong> (a)</strong> Schematic illustration  of the dual genetic selection process. a)A gene switch library is established  in <em>E. coli</em> b) The library cells are  grown for 8 h under nonselective-ON conditions (e.g. with ligand) in M9 medium  to stabilize TetA-GFPuv expression. c) ON selection: ON cells are selected by  addition of tetracycline d) The selected cells are washed once and grown for 8  h under nonselective-OFF conditions (e.g. without ligand) in M9 medium to  readjust TetA-GFPuv expression levels. e)OFF selection: OFF cells are selected  by addition of NiCl2. Selected cells are identified by GFPuv fluorescence  measurement. <strong>(b)</strong> Mock selections of  TPP riboswitches from model libraries. GFPuv <a name="OLE_LINK5" id="OLE_LINK5">fluorescence</a> of the unselected ( white bars) and selected (dark bars) cell populations were  measured under nonselective conditions in the absence(OFF) and presence (ON,100  mM) of TPP. Two independent selections were performed for each dilution. </p></td>
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       <td><p align="left" class="picturemark"><strong>Figure  1.  </strong>Dual genetic selection process of gene  switches.<strong> (a)</strong> Schematic illustration  of the dual genetic selection process. a)A gene switch library is established  in <em>E. coli</em> b) The library cells are  grown for 8 h under nonselective-ON conditions (e.g. with ligand) in M9 medium  to stabilize TetA-GFPuv expression. c) ON selection: ON cells are selected by  addition of tetracycline d) The selected cells are washed once and grown for 8  h under nonselective-OFF conditions (e.g. without ligand) in M9 medium to  readjust TetA-GFPuv expression levels. e)OFF selection: OFF cells are selected  by addition of NiCl2. Selected cells are identified by GFPuv fluorescence  measurement. <strong>(b)</strong> Mock selections of  TPP riboswitches from model libraries. GFPuv fluorescence</a> of the unselected ( white bars) and selected (dark bars) cell populations were  measured under nonselective conditions in the absence(OFF) and presence (ON,100  mM) of TPP. Two independent selections were performed for each dilution. </p></td>
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<p class="mainbody">We applied this selection platform to  develop our RNA controller design and construction methodology. </p>
<p class="mainbody">We applied this selection platform to  develop our RNA controller design and construction methodology. </p>
<p class="mainbody">To verify this platform, we conducted a  mock selection, in which cells bearing a functional TPP riboswitch (+ThiM#2)  were diluted in the background of a mixture of cells bearing always-ON and  always-OFF riboswitch. After performing one round selection, the selected and  the unselected cells are cultured in the presence (100 μM) and absence of thiamine  under nonselective conditions followed by fluorescence measurement (Fig.1B).  Near half of the survived cells exhibited thiamine-up-regulate GFPuv expression  while none of the cells without selection showed the same response, in  accordance with the results of Yohei Yokobayashi et al. <a href="#r4">[1]</a><br />
<p class="mainbody">To verify this platform, we conducted a  mock selection, in which cells bearing a functional TPP riboswitch (+ThiM#2)  were diluted in the background of a mixture of cells bearing always-ON and  always-OFF riboswitch. After performing one round selection, the selected and  the unselected cells are cultured in the presence (100 μM) and absence of thiamine  under nonselective conditions followed by fluorescence measurement (Fig.1B).  Near half of the survived cells exhibited thiamine-up-regulate GFPuv expression  while none of the cells without selection showed the same response, in  accordance with the results of Yohei Yokobayashi et al. <a href="#r4">[1]</a><br />
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   After the  validation of the genetic switch selection platform, we then selected an  adenine aptamer to conduct aptamer swapping, as a proof of concept. As is  known, the specificity of a RNA controller is decided by the aptamer to large  extent. Besides, the pattern of aptamer’s conformational change after ligand  binding should be taken into consideration as it might influent the cleavage of  hammerhead ribozyme. The adenine aptamer was first found in <em>V. vulnificus </em><a href="#r5">[2]</a> and  shares the similar fashion of mechanism to TPP aptamer (Fig.2)<a href="#r6"> [3]</a>.</p>
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   After the  validation of the genetic switch selection platform, we then selected an  adenine aptamer to conduct aptamer swapping, as a proof of concept. As is  known, the specificity of a RNA controller is decided by the aptamer to large  extent. Besides, the pattern of aptamer's conformational change after ligand  binding should be taken into consideration as it might influent the cleavage of  hammerhead ribozyme. The adenine aptamer was first found in <em>V. vulnificus </em><a href="#r5">[2]</a> and  shares the similar fashion of mechanism to TPP aptamer (Fig.2)<a href="#r6"> [3]</a>.</p>
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     <td align="left"><p class="picturemark"><strong>Figure   2.</strong> Sequence and conformational change of adenine aptamer<strong> (a) </strong>Sequence and secondary  structure of the adenine-sensing aptamer we used. The ligand-binding pocket is  indicated by roman numberals. Linker domain is boxed in green.<strong> (b) </strong>The 3D structure of the adenine  aptamer with adenine, green: linker domain; blue: aptamer; yellow: adenine  binding site. <strong>(c)</strong> <a name="OLE_LINK4" id="OLE_LINK4"></a><a name="OLE_LINK3" class="picturemark" id="OLE_LINK3">the pattern of  TPP-sensing aptamer’s conformational change after TPP binding. If TPP is not  present (GENE ON), an antisequestor hairpin (blue) forms that does not  interfere with gene expression. When binding TPP (GENE OFF), P1 is stabilized,  thereby allowing a hairpin to form that sequesters the Shine-Dalgarno sequence  (SD) and prevents the ribosome from translating the ORF</a>. (figure is  from Kenneth F Blount &amp; Ronald R Breaker<a href="#R7"> [4]</a>)<strong> (d)</strong> the  pattern of adenine-sensing aptamer’s conformational change after adenine  binding. When binding adenine (ON state), stem P1 (green) developed. Therefore formation  of the terminator stem-loop is prevented and the SD sequence and the AUG codon  are accessible to the ribosome. If adenine is not present (OFF state), the transcription  terminator stem-loop is stabilized and prevents the ribosome from translating  the ORF</p></td>
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     <td align="left"><p class="picturemark"><strong>Figure   2.</strong> Sequence and conformational change of adenine aptamer<strong> (a) </strong>Sequence and secondary  structure of the adenine-sensing aptamer we used. The ligand-binding pocket is  indicated by roman numberals. Linker domain is boxed in green.<strong> (b) </strong>The 3D structure of the adenine  aptamer with adenine, green: linker domain; blue: aptamer; yellow: adenine  binding site. <strong>(c)</strong> the pattern of  TPP-sensing aptamer's conformational change after TPP binding. If TPP is not  present (GENE ON), an antisequestor hairpin (blue) forms that does not  interfere with gene expression. When binding TPP (GENE OFF), P1 is stabilized,  thereby allowing a hairpin to form that sequesters the Shine-Dalgarno sequence  (SD) and prevents the ribosome from translating the ORF</a>. (figure is  from Kenneth F Blount &amp; Ronald R Breaker<a href="#R7"> [4]</a>)<strong> (d)</strong> the  pattern of adenine-sensing aptamer's conformational change after adenine  binding. When binding adenine (ON state), stem P1 (green) developed. Therefore formation  of the terminator stem-loop is prevented and the SD sequence and the AUG codon  are accessible to the ribosome. If adenine is not present (OFF state), the transcription  terminator stem-loop is stabilized and prevents the ribosome from translating  the ORF</p></td>
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<p class="mainbody">After determining the core sequence of  adenine aptamer<a href="#r8"> [5][6]</a>, we introduced this aptamer into stem  III of wildtype hammerhead and randomized six to twelve nucleotides of the  linker domain (Fig. 3 A,B). Then we conducted selection and screening on this  library. Cells were selected under the optimized selection conditions (75 μg/ml tetracycline, 1.0mM NiCl2,  0.1mg/ml adenine <a href="#r9">[2]</a>). Selecting from about 1500 clones and  screening 50 selected clones via the protocol described above, we obtained four  adenine up-regulate hammerhead ribozymes and further measurement recommend one  with excellent performance. Most interesting is that the sequencing result show  that three base-pair within the linker near the aptamer domain are the same as  the these in the wild tyoe adenine aptamer (Tab.1).Then we introduced this  ribozyme upstream GFP coding sequence via PCR and measure the performance of  this ribozyme under induction with various concentrations of adenine in vivo in  M9 medium (Fig.4). As we speculated that high concentration of adenine might be  harmful to the growth of bacteria, we measured the growth curve of <em>E.coli</em> with 0.05mg/mL and 0.1mg/mL of  adenine added in the culture to determine the cytotoxity of adenine. (Fig.5)  There was apparent difference between the growth of control and that of  chemically induced sample with 0.1mg/mL adenine and measurement of fluorescence  showed a significant decrease when the concentration of adenine exceeded  0.1mg/mL. However, in the presence of 0.05mg/mL adenine when the translation  strength of reporter gene reaches relatively high level, the growth of control  and that of chemically induced sample is similar. So the working-concentration adenine  won’t influence <em>E.coli</em>’s growth.</p>
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<p class="mainbody">After determining the core sequence of  adenine aptamer<a href="#r8"> [5][6]</a>, we introduced this aptamer into stem  III of wildtype hammerhead and randomized six to twelve nucleotides of the  linker domain (Fig. 3 A,B). Then we conducted selection and screening on this  library. Cells were selected under the optimized selection conditions (75 μg/ml tetracycline, 1.0mM NiCl2,  0.1mg/ml adenine <a href="#r9">[2]</a>). Selecting from about 1500 clones and  screening 50 selected clones via the protocol described above, we obtained four  adenine up-regulate hammerhead ribozymes and further measurement recommend one  with excellent performance. Most interesting is that the sequencing result show  that three base-pair within the linker near the aptamer domain are the same as  the these in the wild tyoe adenine aptamer (Tab.1).Then we introduced this  ribozyme upstream GFP coding sequence via PCR and measure the performance of  this ribozyme under induction with various concentrations of adenine in vivo in  M9 medium (Fig.4). As we speculated that high concentration of adenine might be  harmful to the growth of bacteria, we measured the growth curve of <em>E.coli</em> with 0.05mg/mL and 0.1mg/mL of  adenine added in the culture to determine the cytotoxity of adenine. (Fig.5)  There was apparent difference between the growth of control and that of  chemically induced sample with 0.1mg/mL adenine and measurement of fluorescence  showed a significant decrease when the concentration of adenine exceeded  0.1mg/mL. However, in the presence of 0.05mg/mL adenine when the translation  strength of reporter gene reaches relatively high level, the growth of control  and that of chemically induced sample is similar. So the working-concentration adenine  won't influence <em>E.coli</em>'s growth.</p>
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       <td width="121" valign="top"><p>&nbsp;</p></td>
       <td width="121" valign="top"><p>&nbsp;</p></td>
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       <td width="263"><p align="center">Sequence(5’-&gt;3’)</p></td>
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       <td width="263"><p align="center">Sequence(5'-&gt;3')</p></td>
       <td width="184" valign="top"><p>Expression ratio (ON/OFF)</p></td>
       <td width="184" valign="top"><p>Expression ratio (ON/OFF)</p></td>
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       <td width="121" valign="top"><p>     Wild type</p></td>
       <td width="121" valign="top"><p>     Wild type</p></td>
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       <td width="263"><p align="center">TTCATA…(aptamer)...TATGAA</p></td>
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       <td width="263"><p align="center">TTC<span class="ata">ATA</span>…(aptamer)...<span class="ata">TAT</span>GAA</p></td>
       <td width="184" valign="top"><p align="center">2.5<a href="#r13"> [8] </a></p></td>
       <td width="184" valign="top"><p align="center">2.5<a href="#r13"> [8] </a></p></td>
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       <td width="121" valign="top"><p>      NO.1.1</p></td>
       <td width="121" valign="top"><p>      NO.1.1</p></td>
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       <td width="263"><p align="center">CCCATA…(aptamer)...TATATG</p></td>
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       <td width="263"><p align="center">CCC<span class="ata">ATA</span>…(aptamer)...<span class="ata">TAT</span>ATG</p></td>
       <td width="184" valign="top"><p align="center">4</p></td>
       <td width="184" valign="top"><p align="center">4</p></td>
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       <td width="121" valign="top"><p>      NO.1.4</p></td>
       <td width="121" valign="top"><p>      NO.1.4</p></td>
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       <td width="263"><p align="center">CAAATA…(aptamer)...TATCTT</p></td>
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       <td width="263"><p align="center">CAA<span class="ata">ATA</span>…(aptamer)...<span class="ata">TAT</span>CTT</p></td>
       <td width="184" valign="top"><p align="center">2.5*</p></td>
       <td width="184" valign="top"><p align="center">2.5*</p></td>
     </tr>
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       <td width="121" valign="top"><p>      NO.2.1</p></td>
       <td width="121" valign="top"><p>      NO.2.1</p></td>
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       <td width="263"><p align="center">CTGATA…(aptamer)...TATGTA</p></td>
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       <td width="263"><p align="center">CTG<span class="ata">ATA</span>…(aptamer)...<span class="ata">TAT</span>GTA</p></td>
       <td width="184" valign="top"><p align="center">1.5*</p></td>
       <td width="184" valign="top"><p align="center">1.5*</p></td>
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       <td width="121" valign="top"><p>      NO.2.2</p></td>
       <td width="121" valign="top"><p>      NO.2.2</p></td>
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       <td width="263"><p align="center">ATGATA…(aptamer)...TATTTA</p></td>
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       <td width="263"><p align="center">ATG<span class="ata">ATA</span>…(aptamer)...<span class="ata">TAT</span>TTA</p></td>
       <td width="184" valign="top"><p align="center">1.5</p></td>
       <td width="184" valign="top"><p align="center">1.5</p></td>
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<p class="mainbody">This method possesses general interest,  however, there are some weak points in it. The construction of the library is  promptly, but the selection might be a long process. Additionally, the  performance of the new RNA controller highly depends on the character of the  aptamer. We also utilized an aptamer responsive to 3-methylxanthine to  synthesize corresponding RNA controller, but we did not get an effective RNA  controller probably because that the binding affinity of this aptamer to its  ligand is relatively low. </p>
<p class="mainbody">This method possesses general interest,  however, there are some weak points in it. The construction of the library is  promptly, but the selection might be a long process. Additionally, the  performance of the new RNA controller highly depends on the character of the  aptamer. We also utilized an aptamer responsive to 3-methylxanthine to  synthesize corresponding RNA controller, but we did not get an effective RNA  controller probably because that the binding affinity of this aptamer to its  ligand is relatively low. </p>
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<p class="mainbody"><span class="Reference">Reference:<a name="r1" id="r1"></a></span><a name="r2" id="r2"></a><a name="r3" id="r3"></a><a name="r4" id="r4"></a><a name="r5" id="r5"></a><a name="r6" id="r6"></a><a name="r7" id="r7"></a><a name="r8" id="r8"></a><a name="r9" id="r9"></a><a name="r10" id="r10"></a><a name="r13" id="r13"></a><a name="r12" id="r12"></a><a name="r11" id="r11"></a><a name="r14" id="r14"></a><a name="r15" id="r15"></a></p>
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<p class="mainbody"><span class="Reference">Reference:</span></p>
<ol>
<ol>
   <p class="mainbody">[1] Yohei Yokobayashi et al.(2009) An  efficient platform for genetic selection and screening of gene switches in  Escherichia coli. Nucleic Acids Research. 37:NO.5<br />
   <p class="mainbody">[1] Yohei Yokobayashi et al.(2009) An  efficient platform for genetic selection and screening of gene switches in  Escherichia coli. Nucleic Acids Research. 37:NO.5<br />
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       <td width="41" height="27" align="left">&nbsp;</td>
       <td width="41" height="27" align="left">&nbsp;</td>
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       <td width="447" align="left" class="TPP"><a href="https://2011.igem.org/Team:Peking_R/Project/RNAToolkit1">TPP</a>:regulated hammerhead ribozyme</td>
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       <td width="447" align="left" class="TPP"><a href="https://2011.igem.org/Team:Peking_R/Project/RNAToolkit">TPP</a>:regulated hammerhead ribozyme</td>
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RNA toolkit


 

 

 

 

 

 

 


An ON-OFF Selection for RNA Controller Evolving

It is easy to understand that the number of sites we can control depends on the RNA controllers we have in our toolbox. As the available RNA controllers are limited and existing gene switches that function in living cells are challenging due to the inherent complexity of themselves and complex intracellular milieu, it is necessary to develop a general method to construct new RNA controllers for the purpose of optimizing advanced RNA-based regulation. Though several strategies for the design or construction of artificial RNA controllers have been developed, they are either too limited or too complicated. We aim to develop a novel method of RNA controller design and construction, which has general interest and can be widely used. As there have already been diversities of RNA sequences binding to various kinds of ligands, we propose that, by swapping these aptamers with those of existed RNA controllers, more novel RNA controllers regulated by various ligands can be implemented. Reassuringly, Jörg S. Hartig et al. presented that it is possible to design novel artificial riboswitches by coupling a natural aptamer domain to a self-cleaving ribozyme [7]. On the other hand, Yohei Yokobayashi et al., established an efficient platform for genetic switch selection [1]. Inspired by these two methodologies, we combined them to develop a standard method to synthesize new RNA controllers.

As mentioned above, Jörg S. Hartig et al. demonstrated that the natural aptamer domain could be used to construct artificial ribozyme-based genetic switches [7]. First of all, they coupled the thiM aptamer domain of thethiamine pyrophosphate (TPP) riboswitch (from E. coli) to the stem III of a fast- cleaving hammerhead ribozyme (from Schistosoma mansonii). Hammerhead ribozyme is one of the simplest formats of ribozymes with clearly depicted mechanism. Its stem I/stem II tertiary interaction leads to the closure of the ribozyme and stabilizes the active conformation, accompanying the cis-cleavage reaction. Therefore, the binding of TPP molecule to its aptamer stimulates the liberation of the ribosome binding site (RBS) by TPP-dependent, fast cleavage. Next, to erase the trade-off between the specificity of the aptamer and the cleavage activity of the hammerhead ribozyme as much as possible, they randomized six nucleotides of the region connecting the aptamer and the ribozyme to perform an in vivo screeningto select functional RNA switches. After screened 4000 clones, they found an expected riboswitch with high performance.

Besides, Yohei Yokobayashi et al. established an efficient selection and screen platform for genetic switches. The most critical component in this platform is a fusion protein in which tetA, which encodes a tetracycline/H+ antiporter as both a positive and a negative selection marker, was fused with a green fluorescent protein (gfpuv) via a flexible peptide linker. This fusing protein is used as a dual selection and screening marker for laboratory evolution of genetic controller: when the genetic switch (in our case, the riboswitches) is open, TetA will be expressed and endow resistance to tetracycline (ON selection) to bacterial cell. However, in turn the overexpression of this membrane-bound protein (TetA-GFP) makes cells more sensitive to toxic metal salts such as NiCl2 (OFF selection).

In details, this dual genetic selection process includes four steps (Fig.1A): Firstly, a genetic switch mutant library was established; Secondly, after incubated with ligand under nonselective conditions to stabilize TetA-GFPuv expression, ON cells were selected by addition of tetracycline; Thirdly, the selected cells were grown under nonselective conditions to readjust TetA-GFPuv expression levels and then OFF cells are selected by addition of NiCl2. After one round of the genetic selection, selected individual bacterial clones are inoculated and quantitatively assayed for the gene switch activity by measuring GFPuv fluorescence.

   
 

Figure  1.  Dual genetic selection process of gene switches. (a) Schematic illustration of the dual genetic selection process. a)A gene switch library is established in E. coli b) The library cells are grown for 8 h under nonselective-ON conditions (e.g. with ligand) in M9 medium to stabilize TetA-GFPuv expression. c) ON selection: ON cells are selected by addition of tetracycline d) The selected cells are washed once and grown for 8 h under nonselective-OFF conditions (e.g. without ligand) in M9 medium to readjust TetA-GFPuv expression levels. e)OFF selection: OFF cells are selected by addition of NiCl2. Selected cells are identified by GFPuv fluorescence measurement. (b) Mock selections of TPP riboswitches from model libraries. GFPuv fluorescence of the unselected ( white bars) and selected (dark bars) cell populations were measured under nonselective conditions in the absence(OFF) and presence (ON,100 mM) of TPP. Two independent selections were performed for each dilution.

 

With this ON-OFF selection, researchers can remarkably simplify the selection process by omitting plasmid isolation step and following transformation. According to their data, single-round (sequential positive and negative selections) enrichment efficiencies of 7000 were observed in mock selections of model libraries containing functional riboswitches in liquid culture. (In their mock selection, 96 clones from the 10–4 dilution library (–ThiMwt cells were diluted in the background of other cells) selection were randomly tested by tetracycline-growth assay. 75% of them were found to exhibit the phenotype consistent with –ThiMwt. This equates to a 7500-fold enrichment in a single cycle of dual genetic selection.)

We applied this selection platform to develop our RNA controller design and construction methodology.

To verify this platform, we conducted a mock selection, in which cells bearing a functional TPP riboswitch (+ThiM#2) were diluted in the background of a mixture of cells bearing always-ON and always-OFF riboswitch. After performing one round selection, the selected and the unselected cells are cultured in the presence (100 μM) and absence of thiamine under nonselective conditions followed by fluorescence measurement (Fig.1B). Near half of the survived cells exhibited thiamine-up-regulate GFPuv expression while none of the cells without selection showed the same response, in accordance with the results of Yohei Yokobayashi et al. [1]
After the validation of the genetic switch selection platform, we then selected an adenine aptamer to conduct aptamer swapping, as a proof of concept. As is known, the specificity of a RNA controller is decided by the aptamer to large extent. Besides, the pattern of aptamer's conformational change after ligand binding should be taken into consideration as it might influent the cleavage of hammerhead ribozyme. The adenine aptamer was first found in V. vulnificus [2] and shares the similar fashion of mechanism to TPP aptamer (Fig.2) [3].

   
 

Figure  2. Sequence and conformational change of adenine aptamer (a) Sequence and secondary structure of the adenine-sensing aptamer we used. The ligand-binding pocket is indicated by roman numberals. Linker domain is boxed in green. (b) The 3D structure of the adenine aptamer with adenine, green: linker domain; blue: aptamer; yellow: adenine binding site. (c) the pattern of TPP-sensing aptamer's conformational change after TPP binding. If TPP is not present (GENE ON), an antisequestor hairpin (blue) forms that does not interfere with gene expression. When binding TPP (GENE OFF), P1 is stabilized, thereby allowing a hairpin to form that sequesters the Shine-Dalgarno sequence (SD) and prevents the ribosome from translating the ORF. (figure is from Kenneth F Blount & Ronald R Breaker [4]) (d) the pattern of adenine-sensing aptamer's conformational change after adenine binding. When binding adenine (ON state), stem P1 (green) developed. Therefore formation of the terminator stem-loop is prevented and the SD sequence and the AUG codon are accessible to the ribosome. If adenine is not present (OFF state), the transcription terminator stem-loop is stabilized and prevents the ribosome from translating the ORF

 

After determining the core sequence of adenine aptamer [5][6], we introduced this aptamer into stem III of wildtype hammerhead and randomized six to twelve nucleotides of the linker domain (Fig. 3 A,B). Then we conducted selection and screening on this library. Cells were selected under the optimized selection conditions (75 μg/ml tetracycline, 1.0mM NiCl2, 0.1mg/ml adenine [2]). Selecting from about 1500 clones and screening 50 selected clones via the protocol described above, we obtained four adenine up-regulate hammerhead ribozymes and further measurement recommend one with excellent performance. Most interesting is that the sequencing result show that three base-pair within the linker near the aptamer domain are the same as the these in the wild tyoe adenine aptamer (Tab.1).Then we introduced this ribozyme upstream GFP coding sequence via PCR and measure the performance of this ribozyme under induction with various concentrations of adenine in vivo in M9 medium (Fig.4). As we speculated that high concentration of adenine might be harmful to the growth of bacteria, we measured the growth curve of E.coli with 0.05mg/mL and 0.1mg/mL of adenine added in the culture to determine the cytotoxity of adenine. (Fig.5) There was apparent difference between the growth of control and that of chemically induced sample with 0.1mg/mL adenine and measurement of fluorescence showed a significant decrease when the concentration of adenine exceeded 0.1mg/mL. However, in the presence of 0.05mg/mL adenine when the translation strength of reporter gene reaches relatively high level, the growth of control and that of chemically induced sample is similar. So the working-concentration adenine won't influence E.coli's growth.

   
 

Figure  3. Representation of artificial adenine riboswitche. The natural adenine aptamer domain (blue) was fused to stem III of the Schistosoma mansonii hammerhead ribozyme. Stems are indicated with roman numerals; rate-enhancing stem I/stem II interactions are shown as gray lines; the cleavage site is marked by a red arrowhead. The extended stem I of the ribozyme masks the Shine–Dalgarno sequence (red). Upon self-cleavage of the activated ribozyme, the ribosome-binding site is liberated, and gene expression is turned on. (a) Sequence of the artificial adenine-responsive riboswitches; red: Shine–Dalgarno sequence, blue: adenine aptamer, green box: nucleotide positions randomized for the screening of adenine-responsive sequences (b) adenine-activated riboswitches increase ribozyme cleavage and hence gene expression upon the external addition of adenine.  

 

 

     
 

Figure  4 DFigure 4.ependence of gene expression on adenine concentration. Left: fluorescence image of cells in the absence and presence ( 0.05 mg/ml ) of adenine. Right: gene expression level responses to various dosage of adenine. The eGFP was used as a reporter.

 

 

   
 

Figure  5  Growth curves for E. coli in the presence of varying concentrations of adenine. E.coli was grown in M9 minimal medium containing 0.1% casamino acid and 0.8% glycerol as the carbon source supplemented with 50 mg/ml carbenicillin and 0.05 or 0.1 mg/mL adenine.

 

Table 1 The sequence of linker of the wild type and four selected ribozyme

 

Sequence(5'->3')

Expression ratio (ON/OFF)

  Wild type

TTCATA…(aptamer)...TATGAA

2.5 [8]

   NO.1.1

CCCATA…(aptamer)...TATATG

4

   NO.1.4

CAAATA…(aptamer)...TATCTT

2.5*

   NO.2.1

CTGATA…(aptamer)...TATGTA

1.5*

   NO.2.2

ATGATA…(aptamer)...TATTTA

1.5

*result from measuring the fluorescence of tetA-GFP, two independent measurements were made for each clone.
The successful construction of the adenine up-regulate RNA controller reflects the potential of our developed method. It is easily to imagine that various high-performance aptamers can be exploited to synthesize RNA controllers with different ligand specificity via this standard method.

This method possesses general interest, however, there are some weak points in it. The construction of the library is promptly, but the selection might be a long process. Additionally, the performance of the new RNA controller highly depends on the character of the aptamer. We also utilized an aptamer responsive to 3-methylxanthine to synthesize corresponding RNA controller, but we did not get an effective RNA controller probably because that the binding affinity of this aptamer to its ligand is relatively low.

 


Reference:

    [1] Yohei Yokobayashi et al.(2009) An efficient platform for genetic selection and screening of gene switches in Escherichia coli. Nucleic Acids Research. 37:NO.5
    [2] Maumita Mandal & Ronald R Breaker.(2004)Adenine riboswitches and gene activation by disruption of a transcription terminator. Nature structural& molecular biology
    [3] Alexander Serganov and Dinshaw J. Patel. (2007). Ribozymes, riboswitches and beyond: regulation of gene expression without proteins. Nature. 8:776-790
    [4] Kenneth F Blount & Ronald R Breaker (2006) Riboswitches as antibacterial drug targets, nature biology, 24:1558-1564
    [5]Jane N. Kim and Ronald R. Breaker. (2008). Purine sensing by riboswitches, Biol. Cell. 100, 1–11
    [6]Jean-FranÇois Lemay and Daniel A. Lafontaine.(2007) Core requirements of the adenine riboswitch aptamer for ligand binding. RNA. 13: 339-350
    [7]Jörg S. Hartig et al. (2008) Artificial Ribozyme Switches Containing Natural Riboswitch Aptamer Domains. Angew. Chem. 121: 2753 –2756
    [8] Renate Rieder, Kathrin Lang, Dagmar Graber, and Ronald Micura, (2007) Ligand-Induced Folding of the Adenosine Deaminase A-Riboswitch and Implications on Riboswitch Translational Control, ChemBioChem 8: 896 – 902
    [9] Pascale Legault et al. (2010) Riboswitch structure: an internal residue mimicking the purine ligand. Nucleic Acids Research. 6:2057–2068
    [10] Eric Masse, Daniel A. Lafontaine et al. (2011), Comparative Study between Transcriptionally- and Translationally-Acting Adenine Riboswitches Reveals Key Differences in Riboswitch Regulatory Mechanisms, PLoS Genetics, 7: e1001278

 

 

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Existed Natural RNA Controllers
  TPP:regulated hammerhead ribozyme
  THEOPHYLINE: responsive rboswitch

Engineered RNA controllers

  RIBOZYME:engineered group I intron with a theolline heammerhead ribozyme
  SELECTION:adenine hammerhead ribozyme obtained from screening