Team:Gothenburg-Sweden/Project/more

From 2010.igem.org

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<td class="text5">Theoretical background</td>
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<td>&nbsp;</td>
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<td>&nbsp;</td>
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<td><p>Cellular stress is sensed  by a key protein called AMP-activated protein kinase (AMPK). The AMPK protein  complex is conserved among all eukaryotes, including yeast, plants and humans.  In humans this is the target of most anti-diabetic drugs in the market today  and is also implicated in many other metabolic disorders such as obesity and  atherosclerosis and also in developmental processes such as cell cycle and  ageing, etc. In yeast, this protein is called SNF1.</p>
 +
<p>This protein functions as a heterotrimer  consisting of α, β and γ subunits. The α-subunit contains the catalytic domain  (actual kinase) while the β-subunit is the regulatory domain. It response to  high levels of AMP and undergoes a conformational change, which exposes the  phosphorylation site on the catalytic α-subunit. AMPK is activated by  phosphorylation on this conserved site on the α-subunit (shown in the figure below).<br>
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                        <img width="590" height="477" src="http://2010.igem.org/wiki/images/b/b9/Description-pic.JPG" align="left" hspace="12" alt="IGEM project description2.bmp"><br>
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                      </p>
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                    <p>&nbsp;</p>
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                    <p>&nbsp;</p>
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                    <p>&nbsp;</p>
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                    <p>&nbsp;</p>
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                    <p>&nbsp;</p>
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                    <p>&nbsp;</p>
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                    <p>&nbsp;</p>
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                    <p>&nbsp;</p>
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                    <p>&nbsp;</p>
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                    <p>&nbsp;</p>
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                    <p>&nbsp;</p>
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                    <p>&nbsp;</p>
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                    <p>&nbsp;</p>
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                    <p>&nbsp;</p>
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                    <p>&nbsp;</p>
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                    <p>&nbsp;</p>
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                    <p>&nbsp;</p>
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                    <p>&nbsp;</p>
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                    <p>&nbsp;</p>
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                    <p class="STYLE3">Figure 1: (1)Schematic representation of the  AMPK heterotrimer. The figure on the left shows the conformation in an inactive  state. On the right, the conformational change in the γ-subunit triggers a  structural change in the α-subunit, which is phosphorylated. (2) Schematic  representation (stereo view) of the heterotrimer core of SNF1. The regulatory sequence  of the a-subunit  (Snf1) is shown in red and  the rest is in yellow; theGBDof the b-subunit (Sip2) is shown in cyan and the  rest is in magenta; and the c-subunit (Snf4) is shown in green. The positions  of AMP (stick model in black), as observed from our studies and in the S. pombe  enzyme9, as well as that of b-cyclodextrin (in grey) as bound in the rat GBD10,  are shown for reference.</p>
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                    <p>&nbsp;</p>
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<td>&nbsp;</td>
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<td>&nbsp;</td>
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<td class="text5">techniques</td>
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<td>&nbsp;</td>
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<td><table width="725" border="0" align="center" cellpadding="0" cellspacing="0">
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<tr>
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<td width="725">&nbsp;</td>
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  <td><p class="STYLE5">Fusion PCR:</p>
 +
    <p>Fusion PCR is a method used to ligate strands  of DNA without using restriction enzymes or ligase (Horton 1989). For a three  fragment fusion six primers is necessary: Two ordinary primers and four fusion  primers. The fusion primers should optimally have at least 20 bp homology with  the next fragment (figure.2) and fusion efficiency is highly dependent of  GC-content within these regions (Kamochai et al. 2008). In other aspects than  the fusion primer design and the number of steps to produce a final product  fusion PCR follow ordinary PCR protocol.</p>
 +
    <p><img src="http://2010.igem.org/wiki/images/c/cb/Project_clip_image002.jpg" alt="Fusion PCR" width="504" height="392"><br>
 +
      <span class="STYLE3">Figure 2: Essential steps for fusing three  DNA fragments using fusion PCR<br>
 +
      1-3: Each fragment is run with primers that results in regions of homology  corresponding to the next piece.<br>
 +
      4: Two fragments with homology are run together, resulting in fusion and  amplification. <br>
 +
      5: The product from step 4 is run with the last homology fragment, resulting in  fusion and amplification of the final product. </span><br>
 +
      </p>
 +
    <p>References:</p>
 +
    <ul>
 +
      <li>Kamonchai,  Cha-aim., Tomoaki, Fukunaga., Hisashi, Hoshida &amp; Rinji Akada (2009)  Reliable fusion PCR mediated by GC-rich overlap sequences. <em>Gene,</em> 434: 43-49.</li>
 +
          <li>Horton, Robert., Hunt, Henry., Ho, Stefan., Pullen, Jeffrey &amp; Pease,  Larry<strong> </strong>(1989)  Engineering<strong> </strong>hybrid genes without the use of restriction enzymes:<strong> </strong>gene  splicing by overlap extension.<strong> </strong><em>Gene</em>,  77:61-68.<strong></strong></li>
 +
    </ul>
 +
    <p>&nbsp;</p>
 +
    <h3 class="STYLE5">FRET:</h3>
 +
    <p>&nbsp;</p>
 +
    <p>FRET  (Förster resonance energy transfer) is an electrodynamic phenomenon that occurs  between two chromophores, where one is a donor and the other one is an  acceptor. The donor molecule, in its excited state, transfers energy to the  acceptor molecule through non-radiative dipole-dipole interactions and does not  involve the appearance of a photon. The rate of energy transfer between the  donor and acceptor depends on the spectral overlap, the quantum yield of the  donor, the relative orientation of the transition dipoles and the distance  between the molecules. Owing to the distance dependence, it is possible to  measure distances between donor molecules and acceptor molecules. The most  common application of FRET is to measure the distance between two sites on a  macromolecule, typically a protein is covalently labeled with two chromophores.  In the case of multi-domain protein, FRET can be used to measure conformational  changes that move the domains closer or further apart. <br>
 +
        The rate of  energy transfer from a donor to an acceptor, kT(r) is given by the  expression:</p>
 +
    <p><br>
 +
                                  <img src="http://2010.igem.org/wiki/images/a/a8/Project_clip_image002.gif" alt="FRET1" width="102" height="48">          eq 1 <br>
 +
      </p>
 +
    <p>In equation  1, τD is the lifetime of the donor in the absence of acceptor and r  is the donor to acceptor distance. The distance at which the resonance energy  transfer efficiency is 50 % is called the Förster distance, R0. At  this distance, half of the donor molecules are decaying by energy transfer and  half are decaying by the radiative and non-radiative rates. This distance is  typically in the rage of 20 to 60 Å. The energy transfer efficiency (E) is the  fraction of energy absorbed by the donor which is transferred to the acceptor.  This fraction is given by equation 2.</p>
 +
    <p><br>
 +
                                  <img src="http://2010.igem.org/wiki/images/1/1a/Project_clip_image004.gif" alt="FRET2" width="81" height="48">                eq 2 <br>
 +
      </p>
 +
    <p>Combining  these two equations gives an expression for how the energy transfer efficiency  varies as the inverse sixth power of the distance between the donor and  acceptor molecules, equation 3 (Lakowicz,  2006).</p>
 +
    <p><br>
 +
                                  <img src="http://2010.igem.org/wiki/images/d/d5/Project_clip_image006.gif" alt="FRET3" width="76" height="48">                eq 3 <br>
 +
      </p>
 +
    <p>The expression is graphically demonstrated  in figure 3. Because of the  inverse sixth power dependence on the distance between the donor and acceptor  molecule, the curve has a very sharp decline. When designing a biochemical experiment the  distance between the donor and acceptor molecule is of great importance. The useful range for measuring FRET is between 0.5 times R0  and 1.5 times R0. For most applications in cell biology, FRET  experiments have a relatively binary readout. Measurements will often only be  able to distinguish between high-FRET  and low-FRET, or simply between  the presence and absence of FRET (Kremers, Piston and Davidson,  n.d.).</p>
 +
    <p>&nbsp;</p>
 +
    <p><img src="http://2010.igem.org/wiki/images/0/0b/Project_clip_image008.jpg" alt="FRET4" width="375" height="281"> <br>
 +
                                    <span class="STYLE3">Figure 3:  Dependence of energy transfer efficiency (E) on donor to acceptor  distance (r).</span></p>
 +
    <p>&nbsp;</p>
 +
    <p>References:</p>
 +
    <ul>
 +
      <li>Kremers,  G.-J., Piston, D.W. and Davidson, M.W. <em>Microscopyu</em>, [Online], Available: <a href="http://www.microscopyu.com/articles/fluorescence/fret/fretintro.html">http://www.microscopyu.com/articles/fluorescence/fret/fretintro.html</a> [09 Jul 2010].<br>
 +
        </li>
 +
          <li>Lakowicz, J.R. (2006) <em>Principles of Fluorescence  Spectroscopy</em>, Third edition edition, New York: Springer.</li>
 +
    </ul>     <p>&nbsp;</p></td>
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  </tr>
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<td class="bg2"><img src="http://2010.igem.org/wiki/images/2/23/Spacer.jpg" alt="" width="100" height="1" /></td>
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</tr>
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<td><img src="http://2010.igem.org/wiki/images/2/23/Spacer.jpg" alt="" width="30" height="20" /></td>
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<td>&nbsp;</td>
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<td class="text5">snf1 &amp; ampk </td>
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</tr>
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<tr>
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<td>&nbsp;</td>
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</tr>
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<tr>
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  <td>&nbsp;</td>
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  </tr>
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  <td><h1 class="STYLE5">SNF1:</h1>
 +
    <p>&nbsp;</p>
 +
    <p>SNF1  belongs to a family of protein kinases which is highly conserved in eukaryotes  (Hedbacker&nbsp;2009). The SNF1 homologue in mammalian cells is called AMP-  activated protein kinase (AMPK) and it regulates energy balance in mammals. It  is therefore an attractive target for drug discovery against for example  diabetes and obesity (Amodeo 2007). SNF1 was identified in <em>Saccaromyces cerevisiae </em>in 1981 when the snf1 mutation was found  (Carlson 1981). <br>
 +
      The main  function of SNF1 is to help yeast cells adapt to glucose limitation and it is  required for growth on other carbon sources than glucose such as sucrose  (Hedbacker 2009). This is how SNF got its name, since SNF is an abbreviation  for sucrose-nonfermenting (Hong 2007). SNF1 is consequently important in response  to metabolic stress and it also regulates protective mechanisms against  different stresses in response to glucose depletion (Hong 2007). Besides the  primary role in nutrient stress, it is also important in environmental stresses  including sodium ion stress, heat shock, alkaline pH, oxidative stress and  genotoxic stress (Hedbacker 2009).  SNF1  regulates transcription of many genes and controls the activity of metabolic  enzymes involved in fatty acid metabolism and carbohydrate storage (Hong 2007).  SNF1 also controls nutrient-responsive cellular developmental processes such as  meiosis, sporulation and aging (Hedbacker&nbsp;2009).<br>
 +
      SNF1 is  activated when phosphorylated by the upstream kinases Sak 1, Tos 3 and Elm 1  (Hedbacker&nbsp;2009). Each of all three kinases is enough to activate SNF1 in  response to stress but Sak1 has the major role (Hong&nbsp;2007). SNF1 is  activated by glucose limitation but the glucose signal regulating activation of  SNF1 is not known (Hong 2007). Hong <em>et  al.</em> studied mutants lacking all three kinases and their result was that  SNF1 still was activated in response to sodium ion and alkaline stress which  according to Hong <em>et al.</em> suggests  that stress signals might activate SNF1 by a mechanism that is independent of  the upstream kinases. SNF1 is inactivated by the Ref1-GLc7 protein phosphatase  1 (Hedbacker 2009). The SNF1 protein kinase pathway is robust and low levels of  SNF1 activity is mostly enough for growth under many different stress  conditions (Hong 2007). Apart from activation and deactivation, regulation of  SNF1 is also achieved through autoinhibition and through control of the  subcellular localization (Hedbacker&nbsp;2009). </p>
 +
    <p>&nbsp;</p>
 +
    <h2 class="STYLE5">Subunit structure and  function: </h2>
 +
    <p>&nbsp;</p>
 +
    <p>Like its  ortholog AMPK, SNF1 is heterotrimeric, which means that it consists of three  subunits. The yeast genome encodes the catalytic alpha subunit Snf1, three  different beta subunits, Sip1, Sip2 and Gal83, and the gamma subunit Snf4  (Hedbacker&nbsp;2009). The heterotrimeric interface is located at residue  531-586 on Snf1, residues 375-412 of Sip2 and residues 38-45 of Snf4 (Amodeo, Rudolph, &amp; Tong, 2007).</p>
 +
    <p>&nbsp;</p>
 +
    <h3 class="text3">Snf1- alpha subunit:</h3>
 +
    <p>&nbsp;</p>
 +
    <p>This  catalytic subunit spans 633 amino acids and contains 3 major features, namely  the kinase domain, the activation site and a regulatory domain (Hedbacker  2009). The regulatory domain consists of the AIS-domain (Auto Inhibitory  Sequence) which functions by binding to the kinase domain and thereby silencing  the catalytic activity. The kinase domain also contains the activation site of  the full protein complex, Thr210, which is phosphorylated by upstream kinases  when the cells are exposed to external stress (McCartney &amp;  Schmidt 2001).</p>
 +
    <p>&nbsp;</p>
 +
    <h3 class="text3">Beta- subunits:</h3>
 +
    <p>&nbsp;</p>
 +
    <p>There are  three known types of the beta subunit, Sip1, Sip2 and Gal83 (Hedbacker 2009).  All three beta subunits in yeast share a conserved GBD (glucogen binding  domain) with their common mammalian ortholog AMPK (Wiatrowski et al 2004). The  three different subunits differ in their cellular localization when glucose is  limited. Sip1 localizes to the vacuolar membrane, Sip2 remains cytoplasmic  while Gal83 localizes to the nucleus (Vincent <em>et al </em>2001). Due to this the subunits contain a few differing  elements, for example the Gal83-subunit contains a nuclear localization signal  on the c-terminus (Hedbacker and Carlson 2006)</p>
 +
    <p>.</p>
 +
    <h3 class="text3">Snf4 – gamma subunit:</h3>
 +
    <p>&nbsp;</p>
 +
    <p>The  Snf4-subunit consits of 2 bateman domains made up of CBS (cystathionine-beta  synthase) repeats that enable them to bind to adenosine derivatives (Hedbacker  2009).  This subunit is also a part of  the SNF1 activity regulating machinery through binding to the AIS -region of  the Snf1 subunit when the glucose supply is low. This binding inhibits the  autoinhibition of the kinase activity performed by the AIS sequence (Celenza  and Carlson 1989). <br>
 +
    </p>
 +
    <p>References:</p>
 +
    <ul>
 +
      <li>       Carlson,  M., Osmond, B. C., Botstein, D. (1981) Mutants of yeast defective in sucrose  utilization. <em>Genetics, </em>98:25-40.<br>
 +
        </li>
 +
          <li>Celenza, J. L.,  Carson, M. (1989) Mutational Analysis of the Saccharomyces cerevisiae SNF1  Protein<br>
 +
          Kinase and Evidence for  Functional Interaction with the SNF4 Protein. <em>Molecular and cellular biology </em>9: 5034-5044</li>
 +
      <li>Hedbacker,  K., Carlson, M. (2009) SNF1/AMPK pathways in yeast. <em>Frontiers in Bioscience, </em>13:2408‑2420.  <br>
 +
          </li>
 +
      <li>Hedbacker,  K., Carlson, M. (2006) Regulation of the Nucleocytoplasmic Distribution of  Snf1-Gal83 Protein Kinase. Eukaryotic Cell<em>, </em>5: 1950-1956.  <br>
 +
          </li>
 +
      <li>Amodeo, G.  A., Rudolph, M. J., Tong, L. (2007) Crystal structure of the heterotrimer core  of Saccaromyces cerevisiae AMPK homologue SNF1. <em>Nature</em>, 449:492-495.<br>
 +
          </li>
 +
      <li>Hong, S-P.,  Carlson, M. (2007) Regulation of Snf1 Protein Kinase in Response to  Environmental Stress. <em>The Journal of  Biological Chemistry, </em>282:16838-16845.<br>
 +
          </li>
 +
      <li>McCartney,  R. R , Schmidt, C. S. (2001) Regulation of Snf1 Kinase Activation requires  phosphorylation of threonine 210 by an upstream kinase as well as a distinct  step mediated by the Snf4 subunit<strong>. </strong><em>The Journal of Biological Chemistry, </em>276:36460-36466<br>
 +
                                    </li>
 +
      <li><strong>Vincent,  O., Townley, R., Kuchin, S. and Carlson, M. (2001)</strong> Subcellular localization of the  Snf1 kinase is regulated by specific&nbsp;β subunits and a novel glucose  signaling mechanism.  <em>Genes and Development </em>15; 1104-1114<br>
 +
                                    </li>
 +
      <li><strong>Wiatrowski,  H. A., van Denderen, B. J. W, Berkey, C. D., Kemp, B. E., Stapleton, D. and  Carlson, M. (2004) </strong>Mutations in the Gal83 Glycogen-Binding Domain Activate the Snf1/Gal83  Kinase Pathway by a Glycogen-Independent Mechanism. <em>Molecular and Cellular Biology</em> 24; 352-361</li>
 +
    </ul>    
 +
      </td>
 +
  </tr>
 +
<tr>
 +
  <td>&nbsp;</td>
 +
  </tr>
 +
<tr>
<tr>
<td class="text5"><a name="bricks"></a>biobricks used </td>
<td class="text5"><a name="bricks"></a>biobricks used </td>

Revision as of 10:50, 14 July 2010

Chalmers University of Technology

 
project description
More about the project
 
 
Aim
 
 

The aim of the project is to present a contribution to the IGEM competition in synthetic biology. The project consists of creating a sensor for cellular stress readouts. The organism of choice is yeast and the protein that is used to study the phenomena is SNF1.

Our contribution to the IGEM competition in synthetic biology consists of creating a sensor for cellular stress readouts. The organism of choice is yeast and the protein that is used to study the phenomena is SNF1 which is a kinase that is activated when the cells are stressed.
 
 
method and execution
 
 

The project will be executed through two main experimental pathways. Both experimental setups utilize FRET to visualize the conformational change that is the result of the activation of the SNF1 protein complex. The first approach consists of creating a fusion protein consisting of the SNF1 protein and two fluorescent proteins, namely EYFP and ECFP. The idea is that when the protein is activated it undergoes a conformational change and a FRET-signal will be visible. The second approach utilizes a SAMS-peptide with fluorescent proteins fused to each end. The SAMS-peptide will be phosphorylated by the active SNF1-complex and will undergo a conformational change that will be visible due to the fluorescent tags.


To reach the project goal several procedures need to be performed. Firstly the most suitable positions of the fluorescent proteins need to be determined. This will be done by studying parts of the crystal structure of the protein complex. The distances between the fluorophores are measured to secure that they are optimal with respect to the intrinsic properties of the flurophore pair. After this the fusion protein genome will be synthesized through fusion PCR. The fusion protein genome is then inserted into the yeast plasmid pSGM1 with the aid of several restriction endonucelases. The plasmids will be amplified in E. coli after which they are sent to be sequenced to make sure that the correct insert has been created. The last step is to transform a yeast strain with the plasmids, expose the cells to different stress factors and study the FRET signal. The FRET-signal will be used to quantify the expression level of the SNF1 complex.

A secondary task is to measure the expression levels of the SNF1 complex through western blot with probes that only bind to the phosphorylated (active) protein. These levels will be compared to the expression levels derived through the FRET-analysis. Our expectation is to find a linear correlation between both measurements.

The long term ambition of this project it is to ultimately use the results in the pharmaceutical industry when performing high-throughput screening for new substances or finding the correct drug concentrations to use. The yeast cells with the modified SNF-complex can be moved through a micro-fluidic system, gradually exposing them to an array of substances or a concentration gradient and easily finding out at which concentration or substance that the cells are stressed.
 
Theoretical background
 
 

Cellular stress is sensed by a key protein called AMP-activated protein kinase (AMPK). The AMPK protein complex is conserved among all eukaryotes, including yeast, plants and humans. In humans this is the target of most anti-diabetic drugs in the market today and is also implicated in many other metabolic disorders such as obesity and atherosclerosis and also in developmental processes such as cell cycle and ageing, etc. In yeast, this protein is called SNF1.

This protein functions as a heterotrimer consisting of α, β and γ subunits. The α-subunit contains the catalytic domain (actual kinase) while the β-subunit is the regulatory domain. It response to high levels of AMP and undergoes a conformational change, which exposes the phosphorylation site on the catalytic α-subunit. AMPK is activated by phosphorylation on this conserved site on the α-subunit (shown in the figure below).
IGEM project description2.bmp

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Figure 1: (1)Schematic representation of the AMPK heterotrimer. The figure on the left shows the conformation in an inactive state. On the right, the conformational change in the γ-subunit triggers a structural change in the α-subunit, which is phosphorylated. (2) Schematic representation (stereo view) of the heterotrimer core of SNF1. The regulatory sequence of the a-subunit (Snf1) is shown in red and the rest is in yellow; theGBDof the b-subunit (Sip2) is shown in cyan and the rest is in magenta; and the c-subunit (Snf4) is shown in green. The positions of AMP (stick model in black), as observed from our studies and in the S. pombe enzyme9, as well as that of b-cyclodextrin (in grey) as bound in the rat GBD10, are shown for reference.

 

 
 
techniques
 
 

Fusion PCR:

Fusion PCR is a method used to ligate strands of DNA without using restriction enzymes or ligase (Horton 1989). For a three fragment fusion six primers is necessary: Two ordinary primers and four fusion primers. The fusion primers should optimally have at least 20 bp homology with the next fragment (figure.2) and fusion efficiency is highly dependent of GC-content within these regions (Kamochai et al. 2008). In other aspects than the fusion primer design and the number of steps to produce a final product fusion PCR follow ordinary PCR protocol.

Fusion PCR
Figure 2: Essential steps for fusing three DNA fragments using fusion PCR
1-3: Each fragment is run with primers that results in regions of homology corresponding to the next piece.
4: Two fragments with homology are run together, resulting in fusion and amplification.
5: The product from step 4 is run with the last homology fragment, resulting in fusion and amplification of the final product.

References:

  • Kamonchai, Cha-aim., Tomoaki, Fukunaga., Hisashi, Hoshida & Rinji Akada (2009) Reliable fusion PCR mediated by GC-rich overlap sequences. Gene, 434: 43-49.
  • Horton, Robert., Hunt, Henry., Ho, Stefan., Pullen, Jeffrey & Pease, Larry (1989) Engineering hybrid genes without the use of restriction enzymes: gene splicing by overlap extension. Gene, 77:61-68.

 

FRET:

 

FRET (Förster resonance energy transfer) is an electrodynamic phenomenon that occurs between two chromophores, where one is a donor and the other one is an acceptor. The donor molecule, in its excited state, transfers energy to the acceptor molecule through non-radiative dipole-dipole interactions and does not involve the appearance of a photon. The rate of energy transfer between the donor and acceptor depends on the spectral overlap, the quantum yield of the donor, the relative orientation of the transition dipoles and the distance between the molecules. Owing to the distance dependence, it is possible to measure distances between donor molecules and acceptor molecules. The most common application of FRET is to measure the distance between two sites on a macromolecule, typically a protein is covalently labeled with two chromophores. In the case of multi-domain protein, FRET can be used to measure conformational changes that move the domains closer or further apart.
The rate of energy transfer from a donor to an acceptor, kT(r) is given by the expression:


FRET1 eq 1

In equation 1, τD is the lifetime of the donor in the absence of acceptor and r is the donor to acceptor distance. The distance at which the resonance energy transfer efficiency is 50 % is called the Förster distance, R0. At this distance, half of the donor molecules are decaying by energy transfer and half are decaying by the radiative and non-radiative rates. This distance is typically in the rage of 20 to 60 Å. The energy transfer efficiency (E) is the fraction of energy absorbed by the donor which is transferred to the acceptor. This fraction is given by equation 2.


FRET2 eq 2

Combining these two equations gives an expression for how the energy transfer efficiency varies as the inverse sixth power of the distance between the donor and acceptor molecules, equation 3 (Lakowicz, 2006).


FRET3 eq 3

The expression is graphically demonstrated in figure 3. Because of the inverse sixth power dependence on the distance between the donor and acceptor molecule, the curve has a very sharp decline. When designing a biochemical experiment the distance between the donor and acceptor molecule is of great importance. The useful range for measuring FRET is between 0.5 times R0 and 1.5 times R0. For most applications in cell biology, FRET experiments have a relatively binary readout. Measurements will often only be able to distinguish between high-FRET and low-FRET, or simply between the presence and absence of FRET (Kremers, Piston and Davidson, n.d.).

 

FRET4
Figure 3: Dependence of energy transfer efficiency (E) on donor to acceptor distance (r).

 

References:

 

 
snf1 & ampk
 
 

SNF1:

 

SNF1 belongs to a family of protein kinases which is highly conserved in eukaryotes (Hedbacker 2009). The SNF1 homologue in mammalian cells is called AMP- activated protein kinase (AMPK) and it regulates energy balance in mammals. It is therefore an attractive target for drug discovery against for example diabetes and obesity (Amodeo 2007). SNF1 was identified in Saccaromyces cerevisiae in 1981 when the snf1 mutation was found (Carlson 1981).
The main function of SNF1 is to help yeast cells adapt to glucose limitation and it is required for growth on other carbon sources than glucose such as sucrose (Hedbacker 2009). This is how SNF got its name, since SNF is an abbreviation for sucrose-nonfermenting (Hong 2007). SNF1 is consequently important in response to metabolic stress and it also regulates protective mechanisms against different stresses in response to glucose depletion (Hong 2007). Besides the primary role in nutrient stress, it is also important in environmental stresses including sodium ion stress, heat shock, alkaline pH, oxidative stress and genotoxic stress (Hedbacker 2009). SNF1 regulates transcription of many genes and controls the activity of metabolic enzymes involved in fatty acid metabolism and carbohydrate storage (Hong 2007). SNF1 also controls nutrient-responsive cellular developmental processes such as meiosis, sporulation and aging (Hedbacker 2009).
SNF1 is activated when phosphorylated by the upstream kinases Sak 1, Tos 3 and Elm 1 (Hedbacker 2009). Each of all three kinases is enough to activate SNF1 in response to stress but Sak1 has the major role (Hong 2007). SNF1 is activated by glucose limitation but the glucose signal regulating activation of SNF1 is not known (Hong 2007). Hong et al. studied mutants lacking all three kinases and their result was that SNF1 still was activated in response to sodium ion and alkaline stress which according to Hong et al. suggests that stress signals might activate SNF1 by a mechanism that is independent of the upstream kinases. SNF1 is inactivated by the Ref1-GLc7 protein phosphatase 1 (Hedbacker 2009). The SNF1 protein kinase pathway is robust and low levels of SNF1 activity is mostly enough for growth under many different stress conditions (Hong 2007). Apart from activation and deactivation, regulation of SNF1 is also achieved through autoinhibition and through control of the subcellular localization (Hedbacker 2009).

 

Subunit structure and function:

 

Like its ortholog AMPK, SNF1 is heterotrimeric, which means that it consists of three subunits. The yeast genome encodes the catalytic alpha subunit Snf1, three different beta subunits, Sip1, Sip2 and Gal83, and the gamma subunit Snf4 (Hedbacker 2009). The heterotrimeric interface is located at residue 531-586 on Snf1, residues 375-412 of Sip2 and residues 38-45 of Snf4 (Amodeo, Rudolph, & Tong, 2007).

 

Snf1- alpha subunit:

 

This catalytic subunit spans 633 amino acids and contains 3 major features, namely the kinase domain, the activation site and a regulatory domain (Hedbacker 2009). The regulatory domain consists of the AIS-domain (Auto Inhibitory Sequence) which functions by binding to the kinase domain and thereby silencing the catalytic activity. The kinase domain also contains the activation site of the full protein complex, Thr210, which is phosphorylated by upstream kinases when the cells are exposed to external stress (McCartney & Schmidt 2001).

 

Beta- subunits:

 

There are three known types of the beta subunit, Sip1, Sip2 and Gal83 (Hedbacker 2009). All three beta subunits in yeast share a conserved GBD (glucogen binding domain) with their common mammalian ortholog AMPK (Wiatrowski et al 2004). The three different subunits differ in their cellular localization when glucose is limited. Sip1 localizes to the vacuolar membrane, Sip2 remains cytoplasmic while Gal83 localizes to the nucleus (Vincent et al 2001). Due to this the subunits contain a few differing elements, for example the Gal83-subunit contains a nuclear localization signal on the c-terminus (Hedbacker and Carlson 2006)

.

Snf4 – gamma subunit:

 

The Snf4-subunit consits of 2 bateman domains made up of CBS (cystathionine-beta synthase) repeats that enable them to bind to adenosine derivatives (Hedbacker 2009). This subunit is also a part of the SNF1 activity regulating machinery through binding to the AIS -region of the Snf1 subunit when the glucose supply is low. This binding inhibits the autoinhibition of the kinase activity performed by the AIS sequence (Celenza and Carlson 1989).

References:

  • Carlson, M., Osmond, B. C., Botstein, D. (1981) Mutants of yeast defective in sucrose utilization. Genetics, 98:25-40.
  • Celenza, J. L., Carson, M. (1989) Mutational Analysis of the Saccharomyces cerevisiae SNF1 Protein
    Kinase and Evidence for Functional Interaction with the SNF4 Protein. Molecular and cellular biology 9: 5034-5044
  • Hedbacker, K., Carlson, M. (2009) SNF1/AMPK pathways in yeast. Frontiers in Bioscience, 13:2408‑2420.
  • Hedbacker, K., Carlson, M. (2006) Regulation of the Nucleocytoplasmic Distribution of Snf1-Gal83 Protein Kinase. Eukaryotic Cell, 5: 1950-1956.
  • Amodeo, G. A., Rudolph, M. J., Tong, L. (2007) Crystal structure of the heterotrimer core of Saccaromyces cerevisiae AMPK homologue SNF1. Nature, 449:492-495.
  • Hong, S-P., Carlson, M. (2007) Regulation of Snf1 Protein Kinase in Response to Environmental Stress. The Journal of Biological Chemistry, 282:16838-16845.
  • McCartney, R. R , Schmidt, C. S. (2001) Regulation of Snf1 Kinase Activation requires phosphorylation of threonine 210 by an upstream kinase as well as a distinct step mediated by the Snf4 subunit. The Journal of Biological Chemistry, 276:36460-36466
  • Vincent, O., Townley, R., Kuchin, S. and Carlson, M. (2001) Subcellular localization of the Snf1 kinase is regulated by specific β subunits and a novel glucose signaling mechanism. Genes and Development 15; 1104-1114
  • Wiatrowski, H. A., van Denderen, B. J. W, Berkey, C. D., Kemp, B. E., Stapleton, D. and Carlson, M. (2004) Mutations in the Gal83 Glycogen-Binding Domain Activate the Snf1/Gal83 Kinase Pathway by a Glycogen-Independent Mechanism. Molecular and Cellular Biology 24; 352-361
 
biobricks used
 
 

to be continued...

 
 
Possible applications
 
 

to be continued...

 
 
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