Difference between revisions of "Part:BBa K5237008"
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− | + | <!-- Part summary --> | |
− | + | <section id="1"> | |
− | + | <h1>Staple Subunit: rGCN4</h1> | |
− | + | <p> | |
rGCN4 is an engineered, reverse, variant of the yeast transcription factor GCN4, featuring a basic region and a | rGCN4 is an engineered, reverse, variant of the yeast transcription factor GCN4, featuring a basic region and a | ||
leucine | leucine | ||
Line 50: | Line 50: | ||
sites into proximity by binding them simultaneously. | sites into proximity by binding them simultaneously. | ||
</p> | </p> | ||
− | + | <p> </p> | |
− | + | </section> | |
− | + | <div class="toc" id="toc"> | |
− | + | <div id="toctitle"> | |
− | + | <h1>Contents</h1> | |
− | + | </div> | |
− | + | <ul> | |
− | + | <li class="toclevel-1 tocsection-1"><a href="#1"><span class="tocnumber">1</span> <span class="toctext">Sequence | |
overview</span></a> | overview</span></a> | ||
− | + | </li> | |
− | + | <li class="toclevel-1 tocsection-2"><a href="#2"><span class="tocnumber">2</span> <span class="toctext">Usage and | |
Biology</span></a> | Biology</span></a> | ||
− | + | </li> | |
− | + | <li class="toclevel-1 tocsetction-3"><a href="#3"><span class="tocnumber">3</span> <span class="toctext">Assembly | |
and part evolution</span></a> | and part evolution</span></a> | ||
− | + | </li> | |
− | + | <li class="toclevel-1 tocsection-5"><a href="#4"><span class="tocnumber">4</span> <span class="toctext">Results</span></a> | |
− | + | <ul> | |
− | + | <li class="toclevel-2 tocsection-6"><a href="#4.1"><span class="tocnumber">4.1</span> <span class="toctext">Protein expression and | |
− | + | ||
− | + | ||
purification</span></a> | purification</span></a> | ||
− | + | </li> | |
− | + | <li class="toclevel-2 tocsection-7"><a href="#4.2"><span class="tocnumber">4.2</span> <span class="toctext">Electrophoretic Mobility | |
− | + | ||
shift assay</span></a> | shift assay</span></a> | ||
− | + | </li> | |
− | + | <li class="toclevel-2 tocsection-8"><a href="#4.3"><span class="tocnumber">4.3</span> <span class="toctext"><i>In Silico</i> | |
− | + | ||
Characterization using DaVinci</span></a> | Characterization using DaVinci</span></a> | ||
− | + | </li> | |
− | + | <li class="toclevel-2 tocsection-9"><a href="#4.4"><span class="tocnumber">4.4</span> <span class="toctext">Comparison of Wet and Dry Lab calculated ΔG</span></a> | |
− | + | </li> | |
− | + | </ul> | |
− | + | </li> | |
− | + | <li class="toclevel-1 tocsection-8"><a href="#5"><span class="tocnumber">5</span> <span class="toctext">References</span></a> | |
− | + | </li> | |
− | + | </ul> | |
− | + | </div> | |
− | + | <section><p><br/><br/></p> | |
− | + | <font size="5"><b>The PICasSO Toolbox </b> </font> | |
− | + | <div class="thumb" style="margin-top:10px;"></div> | |
− | + | <div class="thumbinner" style="width:550px"><img alt="" class="thumbimage" src="https://static.igem.wiki/teams/5237/wetlab-results/registry-part-collection-engineering-cycle-example-overview.svg" style="width:99%;"/> | |
− | + | <div class="thumbcaption"> | |
− | + | <i><b>Figure 1: How our part collection can be used to engineer new staples</b></i> | |
− | + | </div> | |
− | + | </div> | |
− | + | <p> | |
− | + | <br/> | |
− | + | While synthetic biology has in the past focused on engineering the genomic sequence of organisms, the <b>3D | |
− | + | spatial organization</b> of DNA is well-known to be an important layer of information encoding in | |
− | + | particular in eukaryotes, playing a crucial role in | |
− | + | gene regulation and hence | |
− | + | cell fate, disease development, evolution, and more. However, tools to precisely manipulate and control the | |
− | + | genomic spatial | |
− | + | architecture are limited, hampering the exploration of | |
− | gene regulation | + | 3D genome engineering in synthetic biology. We - the iGEM Team Heidelberg 2024 - have developed PICasSO, a |
− | cell fate, disease development and more. However, | + | <b>powerful |
− | architecture | + | molecular toolbox for rationally engineering genome 3D architectures</b> in living cells, based on |
− | 3D genome in synthetic biology. We - iGEM Team Heidelberg 2024 - have developed PICasSO, a <b>powerful | + | various DNA-binding proteins. |
− | molecular toolbox</b> based on various DNA-binding proteins | + | |
</p> | </p> | ||
− | + | <p> | |
The <b>PICasSO</b> part collection offers a comprehensive, modular platform for precise manipulation and | The <b>PICasSO</b> part collection offers a comprehensive, modular platform for precise manipulation and | ||
<b>re-programming | <b>re-programming | ||
− | of DNA-DNA interactions</b> using protein staples in living cells | + | of DNA-DNA interactions</b> using engineered "protein staples" in living cells. This enables |
− | + | researchers to recreate naturally occurring alterations of 3D genomic | |
− | interactions, such as enhancer hijacking, or to design entirely new spatial architectures for gene regulation. | + | interactions, such as enhancer hijacking in cancer, or to design entirely new spatial architectures for |
− | Specifically, the fusion of two DNA binding proteins enables to | + | artificial gene regulation and cell function control. |
− | + | Specifically, the fusion of two DNA binding proteins enables to artificially bring otherwise distant genomic | |
− | To unlock the system's full potential, we introduce versatile <b>chimeric CRISPR/Cas complexes</b>, | + | loci into |
− | either | + | spatial proximity. |
− | the protein or the guide RNA level. | + | To unlock the system's full potential, we introduce versatile <b>chimeric CRISPR/Cas complexes</b>, |
− | versatility, PICasSO includes <b>robust assay</b> systems to support the engineering, optimization, and | + | connected either at |
− | testing of new staples | + | the protein or - in the case of CRISPR/Cas-based DNA binding moieties - the guide RNA level. These complexes are |
− | + | referred to as protein- or Cas staples, respectively. Beyond its | |
+ | versatility with regard to the staple constructs themselves, PICasSO includes <b>robust assay</b> systems to | ||
+ | support the engineering, optimization, and | ||
+ | testing of new staples <i>in vitro</i> and <i>in vivo</i>. Notably, the PICasSO toolbox was developed in a | ||
+ | design-build-test-learn <b>engineering cycle closely intertwining wet lab experiments and computational | ||
+ | modeling</b> and iterated several times, yielding a collection of well-functioning and -characterized | ||
+ | parts. | ||
</p> | </p> | ||
− | + | <p>At its heart, the PICasSO part collection consists of three categories. <br/><b>(i)</b> Our <b>DNA-binding | |
proteins</b> | proteins</b> | ||
include our | include our | ||
− | finalized | + | finalized Cas staple experimentally validated using an artificial "enhancer hijacking" system as well as |
− | new Cas staples in the future. We also include our Simple staples | + | "half staples" that can be combined by scientists to compose entirely |
− | and can be further engineered to create alternative, simpler and more compact staples. <br /> | + | new Cas staples in the future. We also include our Simple staples comprised of particularly small, simple |
− | + | and robust DNA binding domains well-known to the synthetic biology community, which serve as controls for | |
+ | successful stapling | ||
+ | and can be further engineered to create alternative, simpler, and more compact staples. <br/> | ||
+ | <b>(ii)</b> As <b>functional elements</b>, we list additional parts that enhance and expand the | ||
+ | functionality of our Cas and | ||
Basic staples. These | Basic staples. These | ||
− | consist of | + | consist of staples dependent on |
− | + | cleavable peptide linkers targeted by cancer-specific proteases or inteins that allow condition-specific, | |
− | + | dynamic stapling <i>in vivo</i>. | |
− | with our | + | We also include several engineered parts that enable the efficient delivery of PICasSO's constructs into |
− | interkingdom conjugation system. <br /> | + | target cells, including mammalian cells, |
− | + | with our new | |
+ | interkingdom conjugation system. <br/> | ||
+ | <b>(iii)</b> As the final category of our collection, we provide parts that underlie our <b>custom | ||
readout | readout | ||
− | systems</b>. These include components of our established FRET-based proximity assay system, enabling users to | + | systems</b>. These include components of our established FRET-based proximity assay system, enabling |
+ | users to | ||
confirm | confirm | ||
− | accurate stapling. Additionally, we offer a complementary, application-oriented testing system | + | accurate stapling. Additionally, we offer a complementary, application-oriented testing system based on a |
− | + | luciferase reporter, which allows for straightforward experimental assessment of functional enhancer | |
+ | hijacking events | ||
in mammalian cells. | in mammalian cells. | ||
</p> | </p> | ||
− | + | <p> | |
− | The following table gives a comprehensive overview of all parts in our PICasSO toolbox. <mark | + | The following table gives a comprehensive overview of all parts in our PICasSO toolbox. <mark style="background-color: #FFD700; color: black;">The highlighted parts showed |
− | + | exceptional performance as described on our iGEM wiki and can serve as a reference.</mark> The other | |
− | exceptional performance as described on our iGEM wiki and can serve as a reference.</mark> The other parts in | + | parts in |
the | the | ||
− | collection are versatile building blocks designed to provide future iGEMers with the flexibility to engineer their | + | collection are versatile building blocks designed to provide future iGEMers with the flexibility to engineer |
− | own custom Cas staples, enabling further optimization and innovation.<br /> | + | their |
− | + | own custom Cas staples, enabling further optimization and innovation in the new field of 3D genome | |
− | + | engineering.<br/> | |
− | + | </p> | |
− | + | <p> | |
− | + | <font size="4"><b>Our part collection includes:</b></font><br/> | |
− | + | </p> | |
− | + | <table style="width: 90%; padding-right:10px;"> | |
− | + | <td align="left" colspan="3"><b>DNA-Binding Proteins: </b> | |
− | + | Modular building blocks for engineering of custom staples to mediate defined DNA-DNA interactions <i>in vivo</i></td> | |
− | + | <tbody> | |
− | + | <tr bgcolor="#FFD700"> | |
− | + | <td><a href="https://parts.igem.org/Part:BBa_K5237000" target="_blank">BBa_K5237000</a></td> | |
− | + | <td>Fusion Guide RNA Entry Vector MbCas12a-SpCas9</td> | |
− | + | <td>Entry vector for simple fgRNA cloning via SapI</td> | |
− | + | </tr> | |
− | + | <tr bgcolor="#FFD700"> | |
− | + | <td><a href="https://parts.igem.org/Part:BBa_K5237001" target="_blank">BBa_K5237001</a></td> | |
− | + | <td>Staple Subunit: dMbCas12a-Nucleoplasmin NLS</td> | |
− | + | <td>Staple subunit that can be combined with crRNA or fgRNA and dSpCas9 to form a functional staple | |
− | + | ||
− | + | ||
− | + | ||
− | + | ||
</td> | </td> | ||
− | + | </tr> | |
− | + | <tr bgcolor="#FFD700"> | |
− | <td><a href="https://parts.igem.org/Part:BBa_K5237003" target="_blank">BBa_K5237003</a></td> | + | <td><a href="https://parts.igem.org/Part:BBa_K5237002" target="_blank">BBa_K5237002</a></td> |
− | + | <td>Staple Subunit: SV40 NLS-dSpCas9-SV40 NLS</td> | |
− | + | <td>Staple subunit that can be combined with a sgRNA or fgRNA and dMbCas12a to form a functional staple | |
+ | </td> | ||
+ | </tr> | ||
+ | <tr> | ||
+ | <td><a href="https://parts.igem.org/Part:BBa_K5237003" target="_blank">BBa_K5237003</a></td> | ||
+ | <td>Cas Staple: SV40 NLS-dMbCas12a-dSpCas9-Nucleoplasmin NLS</td> | ||
+ | <td>Functional Cas staple that can be combined with sgRNA and crRNA or fgRNA to bring two DNA strands into | ||
+ | close | ||
proximity | proximity | ||
</td> | </td> | ||
− | + | </tr> | |
− | + | <tr> | |
− | + | <td><a href="https://parts.igem.org/Part:BBa_K5237004" target="_blank">BBa_K5237004</a></td> | |
− | + | <td>Staple Subunit: Oct1-DBD</td> | |
− | + | <td>Staple subunit that can be combined to form a functional staple, for example with TetR.<br/> | |
Can also be combined with a fluorescent protein as part of the FRET proximity assay</td> | Can also be combined with a fluorescent protein as part of the FRET proximity assay</td> | ||
− | + | </tr> | |
− | + | <tr> | |
− | + | <td><a href="https://parts.igem.org/Part:BBa_K5237005" target="_blank">BBa_K5237005</a></td> | |
− | + | <td>Staple Subunit: TetR</td> | |
− | + | <td>Staple subunit that can be combined to form a functional staple, for example with Oct1.<br/> | |
Can also be combined with a fluorescent protein as part of the FRET proximity assay</td> | Can also be combined with a fluorescent protein as part of the FRET proximity assay</td> | ||
− | + | </tr> | |
− | + | <tr> | |
− | + | <td><a href="https://parts.igem.org/Part:BBa_K5237006" target="_blank">BBa_K5237006</a></td> | |
− | + | <td>Simple Staple: TetR-Oct1</td> | |
− | + | <td>Functional staple that can be used to bring two DNA strands in close proximity</td> | |
− | + | </tr> | |
− | + | <tr> | |
− | + | <td><a href="https://parts.igem.org/Part:BBa_K5237007" target="_blank">BBa_K5237007</a></td> | |
− | + | <td>Staple Subunit: GCN4</td> | |
− | + | <td>Staple subunit that can be combined to form a functional staple, for example with rGCN4</td> | |
− | + | </tr> | |
− | + | <tr> | |
− | + | <td><a href="https://parts.igem.org/Part:BBa_K5237008" target="_blank">BBa_K5237008</a></td> | |
− | + | <td>Staple Subunit: rGCN4</td> | |
− | + | <td>Staple subunit that can be combined to form a functional staple, for example with rGCN4</td> | |
− | + | </tr> | |
− | + | <tr> | |
− | + | <td><a href="https://parts.igem.org/Part:BBa_K5237009" target="_blank">BBa_K5237009</a></td> | |
− | + | <td>Mini Staple: bGCN4</td> | |
− | + | <td> | |
Assembled staple with minimal size that can be further engineered</td> | Assembled staple with minimal size that can be further engineered</td> | ||
− | + | </tr> | |
− | + | </tbody> | |
− | + | <td align="left" colspan="3"><b>Functional Elements: </b> | |
− | Protease-cleavable peptide linkers and inteins are used to control and modify staples for further optimization | + | Protease-cleavable peptide linkers and inteins are used to control and modify staples for further |
+ | optimization | ||
for custom applications</td> | for custom applications</td> | ||
− | + | <tbody> | |
− | + | <tr bgcolor="#FFD700"> | |
− | + | <td><a href="https://parts.igem.org/Part:BBa_K5237010" target="_blank">BBa_K5237010</a></td> | |
− | + | <td>Cathepsin B-cleavable Linker: GFLG</td> | |
− | + | <td>Cathepsin B-cleavable peptide linker that can be used to combine two staple subunits to make | |
+ | responsive | ||
staples</td> | staples</td> | ||
− | + | </tr> | |
− | + | <tr> | |
− | + | <td><a href="https://parts.igem.org/Part:BBa_K5237011" target="_blank">BBa_K5237011</a></td> | |
− | + | <td>Cathepsin B Expression Cassette</td> | |
− | + | <td>Expression cassette for the overexpression of cathepsin B</td> | |
− | + | </tr> | |
− | + | <tr> | |
− | + | <td><a href="https://parts.igem.org/Part:BBa_K5237012" target="_blank">BBa_K5237012</a></td> | |
− | + | <td>Caged NpuN Intein</td> | |
− | + | <td>A caged NpuN split intein fragment that undergoes protein <i>trans</i>-splicing after protease | |
− | + | activation, which can be used to create functionalized staple | |
− | + | subunits</td> | |
− | + | </tr> | |
− | + | <tr> | |
− | + | <td><a href="https://parts.igem.org/Part:BBa_K5237013" target="_blank">BBa_K5237013</a></td> | |
− | + | <td>Caged NpuC Intein</td> | |
− | + | <td>A caged NpuC split intein fragment that undergoes protein <i>trans</i>-splicing after protease | |
− | + | activation, which can be used to create functionalized staple | |
− | + | subunits</td> | |
− | + | </tr> | |
− | + | <tr> | |
− | + | <td><a href="https://parts.igem.org/Part:BBa_K5237014" target="_blank">BBa_K5237014</a></td> | |
− | + | <td>Fusion Guide RNA Processing Casette</td> | |
− | + | <td>Processing cassette to produce multiple fgRNAs from one transcript, that can be used for | |
− | genome | + | multiplexed 3D |
− | + | genome reprogramming</td> | |
− | + | </tr> | |
− | + | <tr> | |
− | + | <td><a href="https://parts.igem.org/Part:BBa_K5237015" target="_blank">BBa_K5237015</a></td> | |
− | + | <td>Intimin anti-EGFR Nanobody</td> | |
+ | <td>Interkingdom conjugation between bacteria and mammalian cells, as an alternative delivery tool for | ||
+ | large | ||
constructs</td> | constructs</td> | ||
− | + | </tr> | |
− | + | <tr> | |
− | + | <td><a href="https://parts.igem.org/Part:BBa_K4643003" target="_blank">BBa_K4643003</a></td> | |
− | + | <td>IncP Origin of Transfer</td> | |
− | + | <td>Origin of transfer that can be cloned into the plasmid vector and used for conjugation as a | |
+ | means of | ||
delivery</td> | delivery</td> | ||
− | + | </tr> | |
− | + | </tbody> | |
− | + | <td align="left" colspan="3"><b>Readout Systems: </b> | |
− | FRET and enhancer recruitment to | + | FRET and enhancer recruitment readout systems to rapidly assess successful DNA stapling in bacterial and |
− | + | mammalian cells | |
− | + | </td> | |
− | + | <tbody> | |
− | + | <tr bgcolor="#FFD700"> | |
− | + | <td><a href="https://parts.igem.org/Part:BBa_K5237016" target="_blank">BBa_K5237016</a></td> | |
− | + | <td>FRET-Donor: mNeonGreen-Oct1</td> | |
+ | <td>FRET donor-fluorophore fused to Oct1-DBD that binds to the Oct1 binding cassette, which can be used to | ||
+ | visualize | ||
DNA-DNA | DNA-DNA | ||
proximity</td> | proximity</td> | ||
− | + | </tr> | |
− | + | <tr bgcolor="#FFD700"> | |
− | + | <td><a href="https://parts.igem.org/Part:BBa_K5237017" target="_blank">BBa_K5237017</a></td> | |
− | + | <td>FRET-Acceptor: TetR-mScarlet-I</td> | |
− | + | <td>Acceptor part for the FRET assay binding the TetR binding cassette, which can be used to visualize | |
+ | DNA-DNA | ||
proximity</td> | proximity</td> | ||
− | + | </tr> | |
− | + | <tr> | |
− | + | <td><a href="https://parts.igem.org/Part:BBa_K5237018" target="_blank">BBa_K5237018</a></td> | |
− | + | <td>Oct1 Binding Casette</td> | |
− | + | <td>DNA sequence containing 12 Oct1 binding motifs, compatible with various assays such as the FRET | |
proximity assay</td> | proximity assay</td> | ||
− | + | </tr> | |
− | + | <tr> | |
− | + | <td><a href="https://parts.igem.org/Part:BBa_K5237019" target="_blank">BBa_K5237019</a></td> | |
− | + | <td>TetR Binding Cassette</td> | |
− | + | <td>DNA sequence containing 12 Oct1 binding motifs, can be used for different assays such as the | |
+ | FRET | ||
proximity assay</td> | proximity assay</td> | ||
− | + | </tr> | |
− | + | <td><a href="https://parts.igem.org/Part:BBa_K5237020" target="_blank">BBa_K5237020</a></td> | |
− | + | <td>Cathepsin B-Cleavable Trans-Activator: NLS-Gal4-GFLG-VP64</td> | |
− | + | <td>Readout system that responds to protease activity, which was used to test cathepsin B-cleavable linker | |
− | + | </td> | |
− | + | <tr> | |
− | + | <td><a href="https://parts.igem.org/Part:BBa_K5237021" target="_blank">BBa_K5237021</a></td> | |
− | + | <td>NLS-Gal4-VP64</td> | |
− | + | <td>Trans-activating enhancer, that can be used to simulate enhancer hijacking</td> | |
− | + | </tr> | |
− | + | <td><a href="https://parts.igem.org/Part:BBa_K5237022" target="_blank">BBa_K5237022</a></td> | |
− | + | <td>mCherry Expression Cassette: UAS, minimal Promoter, mCherry</td> | |
− | + | <td>Readout system for enhancer binding, which was used to test cathepsin B-cleavable linker</td> | |
− | + | <tr> | |
− | + | <td><a href="https://parts.igem.org/Part:BBa_K5237023" target="_blank">BBa_K5237023</a></td> | |
− | + | <td>Oct1 - 5x UAS Binding Casette</td> | |
− | + | <td>Oct1 and UAS binding cassette, that was used for the simulated enhancer hijacking assay</td> | |
− | + | </tr> | |
− | + | <tr> | |
− | + | <td><a href="https://parts.igem.org/Part:BBa_K5237024" target="_blank">BBa_K5237024</a></td> | |
− | + | <td>TRE-minimal Promoter- Firefly Luciferase</td> | |
− | + | <td>Contains firefly luciferase controlled by a minimal promoter, which was used as a luminescence | |
− | + | readout for | |
simulated enhancer hijacking</td> | simulated enhancer hijacking</td> | ||
− | + | </tr> | |
− | + | </tbody> | |
− | + | </table></section> | |
− | + | <section id="1"> | |
− | + | <h1>1. Sequence overview</h1> | |
− | + | </section> | |
− | + | ||
</body> | </body> | ||
− | |||
</html> | </html> | ||
<!--################################--> | <!--################################--> | ||
Line 337: | Line 356: | ||
<html> | <html> | ||
<section id="2"> | <section id="2"> | ||
− | + | <h1>2. Usage and Biology</h1> | |
− | + | <p> | |
− | rGCN4 is an engineered variant of the yeast GCN4 transcription factor (<a | + | rGCN4 is an engineered variant of the yeast GCN4 transcription factor (<a href="https://parts.igem.org/Part:BBa_K5237007">BBa_K5237007</a>). |
− | + | ||
In contrast to GCN4 that binds the CRE target sequence with the N-terminal, rGCN4 binds the modified INVii (5' | In contrast to GCN4 that binds the CRE target sequence with the N-terminal, rGCN4 binds the modified INVii (5' | ||
GTCAtaTGAC 3') DNA target sequence with the C-terminal region. | GTCAtaTGAC 3') DNA target sequence with the C-terminal region. | ||
− | rGCN4 is an engineered variant of the yeast GCN4 transcription factor (<a | + | rGCN4 is an engineered variant of the yeast GCN4 transcription factor (<a href="https://parts.igem.org/Part:BBa_K5237007">BBa_K5237007</a>). |
− | + | In our project, we used rGCN4 to study DNA-binding kinetics in our "Mini staples" (<a href="https://parts.igem.org/Part:BBa_K5237009">BBa_K5237009</a>) that bring two DNA target sites into proximity | |
− | In our project, we used rGCN4 to study DNA-binding kinetics in our "Mini staples" (<a | + | |
− | + | ||
by binding them simultaneously. | by binding them simultaneously. | ||
Line 352: | Line 368: | ||
</section> | </section> | ||
<section id="3"> | <section id="3"> | ||
− | + | <h1>3. Assembly and part evolution</h1> | |
− | + | <p> | |
The rGCN4 amino acid sequence was taken from literature (Hollenbeck & Oakley 1999) and codon optimized for <i>E. | The rGCN4 amino acid sequence was taken from literature (Hollenbeck & Oakley 1999) and codon optimized for <i>E. | ||
coli</i>. | coli</i>. | ||
Line 362: | Line 378: | ||
</section> | </section> | ||
<section id="4"> | <section id="4"> | ||
− | + | <h1>4. Results</h1> | |
− | + | <section id="4.1"> | |
− | + | <h2>4.1 Protein expression and purification</h2> | |
− | + | <p>The FLAG-rGCN4 protein could be readily expressed in <i>E. coli</i>. The protein was purified using an | |
anti-FLAG resin. Fractions taken during purification were analyzed by SDS-PAGE and the protein concentration of | anti-FLAG resin. Fractions taken during purification were analyzed by SDS-PAGE and the protein concentration of | ||
the eluted protein determined with a lowry protein assay. | the eluted protein determined with a lowry protein assay. | ||
A yield of 3.4 mg/mL was obtained, corresponding to 422 µM of monomeric FLAG-GCN4. | A yield of 3.4 mg/mL was obtained, corresponding to 422 µM of monomeric FLAG-GCN4. | ||
</p> | </p> | ||
− | + | <div class="thumb"> | |
− | + | <div class="thumbinner" style="width:500px"> | |
− | + | <img alt="" class="thumbimage" src="https://static.igem.wiki/teams/5237/wetlab-results/mist-sds-page-expression-validation.svg" style="width:99%;"/> | |
− | + | <div class="thumbcaption"> | |
− | + | <i><b>Figure 2: SDS-PAGE Analysis of FLAG-GCN4 Purification</b> Fractions analysed are the raw lysate, flow | |
− | + | ||
− | + | ||
through and eluate. | through and eluate. | ||
− | Depicted is GCN4 (this part), rGCN4 (<a href="https://parts.igem.org/Part:BBa_K5237008" | + | Depicted is GCN4 (this part), rGCN4 (<a href="https://parts.igem.org/Part:BBa_K5237008" target="_blank">BBa_K5237008</a>), and bGCN4 (<a href="https://parts.igem.org/Part:BBa_K5237009" target="_blank">BBa_K5237009</a>). Protein size is indicated next to construct name and purified band |
− | + | ||
− | + | ||
with protein of interest highlighted by a red box. | with protein of interest highlighted by a red box. | ||
− | + | </i> | |
− | </div> | + | </div> |
− | + | </div> | |
− | + | </div> | |
− | + | </section> | |
− | + | <section id="4.2"> | |
− | + | <h2>4.2 Electrophoretic Mobility shift assay</h2> | |
− | + | <div class="thumb tright" style="margin:0;"> | |
− | + | <div class="thumbinner" style="width:310px;"> | |
− | + | <img alt="" class="thumbimage" src="https://static.igem.wiki/teams/5237/figures-corrected/leucin-zipper-emsa.svg" style="width:99%;"/> | |
− | + | <div class="thumbcaption"> | |
− | + | <i> | |
− | + | <b>Figure 3: Overview Image of Electrophoretic Mobility Shift Assay (EMSA)</b> | |
− | + | </i> | |
− | + | </div> | |
− | + | </div> | |
− | + | </div> | |
− | + | <p align="justify"></p> | |
− | + | ||
The Electrophoretic mobility shift assay (EMSA) is a widely adopted method used to study DNA-protein | The Electrophoretic mobility shift assay (EMSA) is a widely adopted method used to study DNA-protein | ||
interactions. EMSA functions on the basis that nucleic acids bound to proteins have reduced electrophoretic | interactions. EMSA functions on the basis that nucleic acids bound to proteins have reduced electrophoretic | ||
Line 412: | Line 423: | ||
sequence (5' GTCAtaTGAC 3') until equilibration. | sequence (5' GTCAtaTGAC 3') until equilibration. | ||
Subsequently the formed protein-DNA complexes were loaded on a native PAGE. Afterwards the DNA bands were stained | Subsequently the formed protein-DNA complexes were loaded on a native PAGE. Afterwards the DNA bands were stained | ||
− | with SYBR-safe. <br> | + | with SYBR-safe. <br/> |
− | To further analyze DNA binding, quantitative shift assays were performed for GCN4 and rGCN4 (<a | + | To further analyze DNA binding, quantitative shift assays were performed for GCN4 and rGCN4 (<a href="https://parts.igem.org/Part:BBa:K5237008">BBa_K5237008</a>). |
− | + | ||
0.5 µM DNA were incubated with varying concentrations of protein until equilibration. After | 0.5 µM DNA were incubated with varying concentrations of protein until equilibration. After | ||
electrophoresis, bands were stained with SYBR-Safe and quantified based on pixel intensity. The | electrophoresis, bands were stained with SYBR-Safe and quantified based on pixel intensity. The | ||
obtained values were fitted to equation 1, describing formation of a 2:1 protein-DNA complex: | obtained values were fitted to equation 1, describing formation of a 2:1 protein-DNA complex: | ||
− | <br | + | <br><br/> |
Θ<sub>app</sub> = Θ<sub>min</sub> + (Θ<sub>max</sub> - Θ<sub>min</sub>) × | Θ<sub>app</sub> = Θ<sub>min</sub> + (Θ<sub>max</sub> - Θ<sub>min</sub>) × | ||
(K<sub>a</sub><sup>2</sup> [L]<sub>tot</sub><sup>2</sup>) / (1 + K<sub>a</sub><sup>2</sup> | (K<sub>a</sub><sup>2</sup> [L]<sub>tot</sub><sup>2</sup>) / (1 + K<sub>a</sub><sup>2</sup> | ||
[L]<sub>tot</sub><sup>2</sup>) | [L]<sub>tot</sub><sup>2</sup>) | ||
<span style="float: right;">Equation 1</span> | <span style="float: right;">Equation 1</span> | ||
− | + | <br/><br/> | |
Here [L]<sub>tot</sub> describes the total protein monomer concentration, K<sub>a</sub> | Here [L]<sub>tot</sub> describes the total protein monomer concentration, K<sub>a</sub> | ||
corresponds | corresponds | ||
Line 430: | Line 440: | ||
determined site saturation values (For this experiment 0 and 1 were chosen for min and max | determined site saturation values (For this experiment 0 and 1 were chosen for min and max | ||
respectively). | respectively). | ||
− | </p> | + | </br></p> |
− | + | <div class="thumb"> | |
− | + | <div class="thumbinner" style="width:500px"> | |
− | + | <img alt="" class="thumbimage" src="https://static.igem.wiki/teams/5237/wetlab-results/mist-leucine-zipper-kd-plot.svg" style="width:99%;"/> | |
− | + | <div class="thumbcaption"> | |
− | + | <i><b>Figure 4: Quantitative EMSA</b>Quantitative assessment of binding affinity for GCN4 and rGCN4. Proteins | |
− | + | ||
of | of | ||
different concentrations were incubated with 0.5 µM DNA until equilibrium and fraction bound analyzed, after | different concentrations were incubated with 0.5 µM DNA until equilibrium and fraction bound analyzed, after | ||
Line 443: | Line 452: | ||
conducted | conducted | ||
for each data point. Values are presented as mean +/- SD.</i> | for each data point. Values are presented as mean +/- SD.</i> | ||
− | + | </div> | |
− | + | </div> | |
− | + | <p> | |
rGCN4 binds to INVii with an apparent dissociation constant | rGCN4 binds to INVii with an apparent dissociation constant | ||
− | K<sub>D</sub> of K<sub>d</sub> of (0.298 | + | K<sub>D</sub> of K<sub>d</sub> of (0.298 ± 0.030) × 10<sup>-6</sup> M, which is almost identical to the |
− | GCN4 dissociation constant of (0.293 | + | GCN4 dissociation constant of (0.293 ± 0.033) × 10<sup>-6</sup> M |
Comparing them to literature values, our dissociation constants are approximately a factor 10 higher then those | Comparing them to literature values, our dissociation constants are approximately a factor 10 higher then those | ||
described in literature ((96) × 10<sup>-8</sup> M for | described in literature ((96) × 10<sup>-8</sup> M for | ||
Line 456: | Line 465: | ||
bands in | bands in | ||
the SDS-PAGE analysis, indicating co-purification of small amounts of unspecific proteins. | the SDS-PAGE analysis, indicating co-purification of small amounts of unspecific proteins. | ||
− | <br /><br /> | + | <br/><br/> |
The FLAG-tag fusion to the N-terminus of proteins could potentially decrease binding affinity, likely due | The FLAG-tag fusion to the N-terminus of proteins could potentially decrease binding affinity, likely due | ||
to steric hindrance affecting the interaction with DNA. Interestingly, the differences in binding affinity | to steric hindrance affecting the interaction with DNA. Interestingly, the differences in binding affinity | ||
Line 466: | Line 475: | ||
with circular dichroism spectroscopy (Greenfield, 2006). | with circular dichroism spectroscopy (Greenfield, 2006). | ||
</p> | </p> | ||
− | + | </div> | |
− | + | </section> | |
− | + | <section id="4.3"> | |
− | + | <h2>4.3 <i>In Silico</i> Characterization Using DaVinci</h2> | |
− | + | <div class="thumb tright" style="margin:0;"> | |
− | + | <div class="thumbinner" style="width:300px;"> | |
− | + | <iframe allowfullscreen="" class="thumbimage" frameborder="0" height="315" sandbox="allow-same-origin allow-scripts allow-popups allow-forms" src="https://video.igem.org/videos/embed/36edba03-5fef-4b19-9b2f-2c802e126660?loop=1&title=0&warningTitle=0" style="width:99%;" title="Heidelberg: GCN4-MD (2024)" width="560"></iframe> | |
− | + | <div class="thumbcaption"> | |
− | + | <i><b>Figure 5: Molecular Dynamics Simulation of GCN4</b> | |
− | + | </i> | |
− | + | </div> | |
− | + | </div> | |
− | + | </div> | |
− | + | <p> | |
− | + | We developed DaVinci, an <i>in silico</i> model, for rapid engineering and optimization of our PiCasSO system. DaVinci | |
− | + | ||
− | We developed DaVinci, an in silico model, for rapid engineering and optimization of our PiCasSO system. DaVinci | + | |
serves as a digital twin to PiCasSO, analyzing the forces acting on the system, refining experimental parameters, | serves as a digital twin to PiCasSO, analyzing the forces acting on the system, refining experimental parameters, | ||
and identifying optimal interactions between protein staples and target DNA. The model was calibrated using | and identifying optimal interactions between protein staples and target DNA. The model was calibrated using | ||
literature data and experimental affinity results from rGCN4 EMSA assays with purified proteins. | literature data and experimental affinity results from rGCN4 EMSA assays with purified proteins. | ||
− | <br> | + | <br/> |
DaVinci operates in three phases: static structure prediction, all-atom dynamics simulation, and long-range DNA | DaVinci operates in three phases: static structure prediction, all-atom dynamics simulation, and long-range DNA | ||
dynamics simulation. We applied the first two phases to our components, allowing us to characterize the structure | dynamics simulation. We applied the first two phases to our components, allowing us to characterize the structure | ||
and dynamics of the DNA-binding interactions. | and dynamics of the DNA-binding interactions. | ||
− | <br> | + | <br/> |
For our bivalent DNA-binding Mini Staple (<a href="https://parts.igem.org/Part:BBa_K5237009">BBa_K5237009</a>), | For our bivalent DNA-binding Mini Staple (<a href="https://parts.igem.org/Part:BBa_K5237009">BBa_K5237009</a>), | ||
consisting of GCN4 fused via a GSG-linker to rGCN4 | consisting of GCN4 fused via a GSG-linker to rGCN4 | ||
Line 502: | Line 509: | ||
</p> | </p> | ||
− | + | <div class="thumb"> | |
− | + | <div class="thumbinner" style="width:80%;"> | |
− | + | <img alt="" class="thumbimage" src="https://static.igem.wiki/teams/5237/model/structure-figure-3.svg" style="width:99%;"/> | |
− | + | <div class="thumbcaption"> | |
− | + | <i><b>Figure 6: Variation of Linkers Connecting Our Mini Staples.</b> | |
− | + | ||
Panels A (BBa_K5237007) and B (BBa_K5237008) show | Panels A (BBa_K5237007) and B (BBa_K5237008) show | ||
orientations of the leucine zipper, each bound to DNA. Panels C to I display linker variations colored by | orientations of the leucine zipper, each bound to DNA. Panels C to I display linker variations colored by | ||
Line 517: | Line 523: | ||
2024). | 2024). | ||
</i> | </i> | ||
− | + | </div> | |
− | + | </div> | |
− | + | </div> | |
− | + | <section id="4.4"> | |
− | + | <h2>4.4 Comparison of Wet and Dry Lab calculated ΔG</h2> | |
− | + | <p> | |
− | + | ||
The apparent dissociation constant K<sub>D</sub>, calculated from the EMSA experiments, was used to calculate the | The apparent dissociation constant K<sub>D</sub>, calculated from the EMSA experiments, was used to calculate the | ||
− | Gibbs free energy ( | + | Gibbs free energy (ΔG) of the rGCN4-DNA interaction. |
</p> | </p> | ||
− | + | <br><br> | |
− | + | <div style="float:center; width:50%;">G = RT ln(K<sub>D</sub>)<span style="float:right;">Equation 2</span></div> | |
− | + | <br/><br/> | |
− | + | <p> | |
− | Our DaVinci model calculated | + | Our DaVinci model calculated ΔG by using an all-atom molecular dynamics simulation to compute the |
dissociation of DNA from its bound state, capturing the transition between states by constructing | dissociation of DNA from its bound state, capturing the transition between states by constructing | ||
− | a custom weight function to sample the configuration space in a Monte Carlo scheme (Frenkel & Smit, 2023).This | + | a custom weight function to sample the configuration space in a Monte Carlo scheme (Frenkel & Smit, 2023).This |
approach | approach | ||
enables precise estimation of the energy landscape around the bound state and, furthermore, the calculation of the | enables precise estimation of the energy landscape around the bound state and, furthermore, the calculation of the | ||
thermodynamic quantities. | thermodynamic quantities. | ||
</p> | </p> | ||
− | + | <p>Comparing the wet lab with the dry lab results showed some discrepancies. The calculated ΔG based on the | |
− | measured K<sub>D</sub> of the | + | measured K<sub>D</sub> of the wet lab experiments was 9.256 - 10.676 kCal mol<sup>-1</sup> which compares well to |
literature | literature | ||
with an estimate of G = 10.7 11.48 kCal mol-1 (Jessica J. Hollenbeck et al., 2001). | with an estimate of G = 10.7 11.48 kCal mol-1 (Jessica J. Hollenbeck et al., 2001). | ||
Line 548: | Line 553: | ||
accuracy | accuracy | ||
<div class="thumb"> | <div class="thumb"> | ||
− | + | <div class="thumbinner" style="width:60%;"> | |
− | + | <iframe allowfullscreen="" class="thumbimage" frameborder="0" height="315" sandbox="allow-same-origin allow-scripts allow-popups allow-forms" src="https://video.igem.org/videos/embed/9c552211-b71f-4083-92dc-fab599e26511?title=0&warningTitle=0" style="width:99%;" title="Heidelberg: rGCN4-MD (2024)" width="560"></iframe> | |
− | + | <div class="thumbcaption"> | |
− | + | <i> | |
− | + | <b>Figure 7: Visualized Pulling Simulation All-Atom Pulling Simulation</b> | |
− | + | </i> | |
− | + | </div> | |
− | + | </div> | |
− | + | </div> | |
− | + | </p></br></br></section> | |
− | + | </section> | |
− | + | ||
</section> | </section> | ||
<section id="5"> | <section id="5"> | ||
− | + | <h1>5. References</h1> | |
− | + | <p>Akdel, M., Pires, D. E. V., Pardo, E. P., Janes, J., Zalevsky, A. O., Meszaros, B., Bryant, P., Good, L. L., | |
Laskowski, R. A., Pozzati, G., Shenoy, A., Zhu, W., Kundrotas, P., Serra, V. R., Rodrigues, C. H. M., Dunham, A. S., | Laskowski, R. A., Pozzati, G., Shenoy, A., Zhu, W., Kundrotas, P., Serra, V. R., Rodrigues, C. H. M., Dunham, A. S., | ||
Burke, D., Borkakoti, N., Velankar, S., … Beltrao, P. (2022). A structural biology community assessment of | Burke, D., Borkakoti, N., Velankar, S., … Beltrao, P. (2022). A structural biology community assessment of | ||
− | AlphaFold2 applications. <i>Nat Struct Mol Biol, 29</i>(11), 1056–1067. <a | + | AlphaFold2 applications. <i>Nat Struct Mol Biol, 29</i>(11), 1056–1067. <a href="https://doi.org/10.1038/s41594-022-00849-w" target="_blank">https://doi.org/10.1038/s41594-022-00849-w</a> |
− | + | </p> | |
− | + | <p>Arai, R., Ueda, H., Kitayama, A., Kamiya, N., & Nagamune, T. (2001). Design of the linkers which effectively | |
− | + | ||
− | + | ||
separate domains of a bifunctional fusion protein. <i>Protein Engineering, Design and Selection, 14</i>(8), 529–532. | separate domains of a bifunctional fusion protein. <i>Protein Engineering, Design and Selection, 14</i>(8), 529–532. | ||
<a href="https://doi.org/10.1093/protein/14.8.529" target="_blank">https://doi.org/10.1093/protein/14.8.529</a> | <a href="https://doi.org/10.1093/protein/14.8.529" target="_blank">https://doi.org/10.1093/protein/14.8.529</a> | ||
− | + | </p> | |
− | + | <p>Chen, X., Zaro, J. L., & Shen, W.-C. (2013). Fusion protein linkers: Property, design and functionality. | |
− | + | <i>Advanced Drug Delivery Reviews, 65</i>(10), 1357–1369. <a href="https://doi.org/10.1016/j.addr.2012.09.039" target="_blank">https://doi.org/10.1016/j.addr.2012.09.039</a> | |
− | <i>Advanced Drug Delivery Reviews, 65</i>(10), 1357–1369. <a href="https://doi.org/10.1016/j.addr.2012.09.039" | + | </p> |
− | + | <p>Google DeepMind. (2024). AlphaFold Server. <a href="https://alphafoldserver.com/terms" target="_blank">https://alphafoldserver.com/terms</a></p> | |
− | + | <p>Guo, H.-B., Perminov, A., Bekele, S., Kedziora, G., Farajollahi, S., Varaljay, V., Hinkle, K., Molinero, V., | |
− | + | Meister, K., Hung, C., Dennis, P., Kelley-Loughnane, N., & Berry, R. (2022). AlphaFold2 models indicate that protein | |
− | + | sequence determines both structure and dynamics. <i>Scientific Reports, 12</i>(1), 10696. <a href="https://doi.org/10.1038/s41598-022-14382-9" target="_blank">https://doi.org/10.1038/s41598-022-14382-9</a> | |
− | + | </p> | |
− | + | <p>Hollenbeck, J. J., Gurnon, D. G., Fazio, G. C., Carlson, J. J., & Oakley, M. G. (2001). A GCN4 Variant with a | |
− | Meister, K., Hung, C., Dennis, P., Kelley-Loughnane, N., & Berry, R. (2022). AlphaFold2 models indicate that protein | + | |
− | sequence determines both structure and dynamics. <i>Scientific Reports, 12</i>(1), 10696. <a | + | |
− | + | ||
− | + | ||
− | + | ||
− | + | ||
C-Terminal Basic Region Binds to DNA with Wild-Type Affinity. <em>Biochemistry, 40</em>(46), 13833 - 13839.</p> | C-Terminal Basic Region Binds to DNA with Wild-Type Affinity. <em>Biochemistry, 40</em>(46), 13833 - 13839.</p> | ||
− | + | <p>Hollenbeck, J. J., & Oakley, M. G. (2000). GCN4 Binds with High Affinity to DNA Sequences Containing a Single | |
− | Consensus Half-Site. <em>Biochemistry, 39</em>(21), 6380 - 6389. <a href="https://doi.org/10.1021/bi992705n" | + | Consensus Half-Site. <em>Biochemistry, 39</em>(21), 6380 - 6389. <a href="https://doi.org/10.1021/bi992705n" target="_blank">https://doi.org/10.1021/bi992705n</a></p> |
− | + | ||
− | + | ||
</section> | </section> | ||
</html> | </html> |
Revision as of 07:05, 2 October 2024
Staple Subunit: rGCN4
rGCN4 is an engineered, reverse, variant of the yeast transcription factor GCN4, featuring a basic region and a leucine zipper dimerization domain. We used rGCN4 to study DNA-binding kinetics in our "Mini staples" that bring two DNA target sites into proximity by binding them simultaneously.
Contents
While synthetic biology has in the past focused on engineering the genomic sequence of organisms, the 3D
spatial organization of DNA is well-known to be an important layer of information encoding in
particular in eukaryotes, playing a crucial role in
gene regulation and hence
cell fate, disease development, evolution, and more. However, tools to precisely manipulate and control the
genomic spatial
architecture are limited, hampering the exploration of
3D genome engineering in synthetic biology. We - the iGEM Team Heidelberg 2024 - have developed PICasSO, a
powerful
molecular toolbox for rationally engineering genome 3D architectures in living cells, based on
various DNA-binding proteins.
The PICasSO part collection offers a comprehensive, modular platform for precise manipulation and re-programming of DNA-DNA interactions using engineered "protein staples" in living cells. This enables researchers to recreate naturally occurring alterations of 3D genomic interactions, such as enhancer hijacking in cancer, or to design entirely new spatial architectures for artificial gene regulation and cell function control. Specifically, the fusion of two DNA binding proteins enables to artificially bring otherwise distant genomic loci into spatial proximity. To unlock the system's full potential, we introduce versatile chimeric CRISPR/Cas complexes, connected either at the protein or - in the case of CRISPR/Cas-based DNA binding moieties - the guide RNA level. These complexes are referred to as protein- or Cas staples, respectively. Beyond its versatility with regard to the staple constructs themselves, PICasSO includes robust assay systems to support the engineering, optimization, and testing of new staples in vitro and in vivo. Notably, the PICasSO toolbox was developed in a design-build-test-learn engineering cycle closely intertwining wet lab experiments and computational modeling and iterated several times, yielding a collection of well-functioning and -characterized parts.
At its heart, the PICasSO part collection consists of three categories.
(i) Our DNA-binding
proteins
include our
finalized Cas staple experimentally validated using an artificial "enhancer hijacking" system as well as
"half staples" that can be combined by scientists to compose entirely
new Cas staples in the future. We also include our Simple staples comprised of particularly small, simple
and robust DNA binding domains well-known to the synthetic biology community, which serve as controls for
successful stapling
and can be further engineered to create alternative, simpler, and more compact staples.
(ii) As functional elements, we list additional parts that enhance and expand the
functionality of our Cas and
Basic staples. These
consist of staples dependent on
cleavable peptide linkers targeted by cancer-specific proteases or inteins that allow condition-specific,
dynamic stapling in vivo.
We also include several engineered parts that enable the efficient delivery of PICasSO's constructs into
target cells, including mammalian cells,
with our new
interkingdom conjugation system.
(iii) As the final category of our collection, we provide parts that underlie our custom
readout
systems. These include components of our established FRET-based proximity assay system, enabling
users to
confirm
accurate stapling. Additionally, we offer a complementary, application-oriented testing system based on a
luciferase reporter, which allows for straightforward experimental assessment of functional enhancer
hijacking events
in mammalian cells.
The following table gives a comprehensive overview of all parts in our PICasSO toolbox. The highlighted parts showed
exceptional performance as described on our iGEM wiki and can serve as a reference. The other
parts in
the
collection are versatile building blocks designed to provide future iGEMers with the flexibility to engineer
their
own custom Cas staples, enabling further optimization and innovation in the new field of 3D genome
engineering.
Our part collection includes:
DNA-Binding Proteins: Modular building blocks for engineering of custom staples to mediate defined DNA-DNA interactions in vivo | ||
BBa_K5237000 | Fusion Guide RNA Entry Vector MbCas12a-SpCas9 | Entry vector for simple fgRNA cloning via SapI |
BBa_K5237001 | Staple Subunit: dMbCas12a-Nucleoplasmin NLS | Staple subunit that can be combined with crRNA or fgRNA and dSpCas9 to form a functional staple |
BBa_K5237002 | Staple Subunit: SV40 NLS-dSpCas9-SV40 NLS | Staple subunit that can be combined with a sgRNA or fgRNA and dMbCas12a to form a functional staple |
BBa_K5237003 | Cas Staple: SV40 NLS-dMbCas12a-dSpCas9-Nucleoplasmin NLS | Functional Cas staple that can be combined with sgRNA and crRNA or fgRNA to bring two DNA strands into close proximity |
BBa_K5237004 | Staple Subunit: Oct1-DBD | Staple subunit that can be combined to form a functional staple, for example with TetR. Can also be combined with a fluorescent protein as part of the FRET proximity assay |
BBa_K5237005 | Staple Subunit: TetR | Staple subunit that can be combined to form a functional staple, for example with Oct1. Can also be combined with a fluorescent protein as part of the FRET proximity assay |
BBa_K5237006 | Simple Staple: TetR-Oct1 | Functional staple that can be used to bring two DNA strands in close proximity |
BBa_K5237007 | Staple Subunit: GCN4 | Staple subunit that can be combined to form a functional staple, for example with rGCN4 |
BBa_K5237008 | Staple Subunit: rGCN4 | Staple subunit that can be combined to form a functional staple, for example with rGCN4 |
BBa_K5237009 | Mini Staple: bGCN4 | Assembled staple with minimal size that can be further engineered | Functional Elements: Protease-cleavable peptide linkers and inteins are used to control and modify staples for further optimization for custom applications |
BBa_K5237010 | Cathepsin B-cleavable Linker: GFLG | Cathepsin B-cleavable peptide linker that can be used to combine two staple subunits to make responsive staples |
BBa_K5237011 | Cathepsin B Expression Cassette | Expression cassette for the overexpression of cathepsin B |
BBa_K5237012 | Caged NpuN Intein | A caged NpuN split intein fragment that undergoes protein trans-splicing after protease activation, which can be used to create functionalized staple subunits |
BBa_K5237013 | Caged NpuC Intein | A caged NpuC split intein fragment that undergoes protein trans-splicing after protease activation, which can be used to create functionalized staple subunits |
BBa_K5237014 | Fusion Guide RNA Processing Casette | Processing cassette to produce multiple fgRNAs from one transcript, that can be used for multiplexed 3D genome reprogramming |
BBa_K5237015 | Intimin anti-EGFR Nanobody | Interkingdom conjugation between bacteria and mammalian cells, as an alternative delivery tool for large constructs |
BBa_K4643003 | IncP Origin of Transfer | Origin of transfer that can be cloned into the plasmid vector and used for conjugation as a means of delivery | Readout Systems: FRET and enhancer recruitment readout systems to rapidly assess successful DNA stapling in bacterial and mammalian cells |
BBa_K5237016 | FRET-Donor: mNeonGreen-Oct1 | FRET donor-fluorophore fused to Oct1-DBD that binds to the Oct1 binding cassette, which can be used to visualize DNA-DNA proximity |
BBa_K5237017 | FRET-Acceptor: TetR-mScarlet-I | Acceptor part for the FRET assay binding the TetR binding cassette, which can be used to visualize DNA-DNA proximity |
BBa_K5237018 | Oct1 Binding Casette | DNA sequence containing 12 Oct1 binding motifs, compatible with various assays such as the FRET proximity assay |
BBa_K5237019 | TetR Binding Cassette | DNA sequence containing 12 Oct1 binding motifs, can be used for different assays such as the FRET proximity assay | BBa_K5237020 | Cathepsin B-Cleavable Trans-Activator: NLS-Gal4-GFLG-VP64 | Readout system that responds to protease activity, which was used to test cathepsin B-cleavable linker |
BBa_K5237021 | NLS-Gal4-VP64 | Trans-activating enhancer, that can be used to simulate enhancer hijacking | BBa_K5237022 | mCherry Expression Cassette: UAS, minimal Promoter, mCherry | Readout system for enhancer binding, which was used to test cathepsin B-cleavable linker |
BBa_K5237023 | Oct1 - 5x UAS Binding Casette | Oct1 and UAS binding cassette, that was used for the simulated enhancer hijacking assay |
BBa_K5237024 | TRE-minimal Promoter- Firefly Luciferase | Contains firefly luciferase controlled by a minimal promoter, which was used as a luminescence readout for simulated enhancer hijacking |
1. Sequence overview
- 10COMPATIBLE WITH RFC[10]
- 12COMPATIBLE WITH RFC[12]
- 21COMPATIBLE WITH RFC[21]
- 23COMPATIBLE WITH RFC[23]
- 25COMPATIBLE WITH RFC[25]
- 1000COMPATIBLE WITH RFC[1000]
rGCN4 is an engineered variant of the yeast GCN4 transcription factor (BBa_K5237007).
In contrast to GCN4 that binds the CRE target sequence with the N-terminal, rGCN4 binds the modified INVii (5'
GTCAtaTGAC 3') DNA target sequence with the C-terminal region.
rGCN4 is an engineered variant of the yeast GCN4 transcription factor (BBa_K5237007).
In our project, we used rGCN4 to study DNA-binding kinetics in our "Mini staples" (BBa_K5237009) that bring two DNA target sites into proximity
by binding them simultaneously.
The rGCN4 amino acid sequence was taken from literature (Hollenbeck & Oakley 1999) and codon optimized for E.
coli.
A FLAG-tag (DYKDDDDK) was added to the N-terminus for protein purification. The FLAG-tag can be
cleaved off using an Enterokinase, if necessary.
Expression of FLAG-GCN4 was done under an IPTG inducible T7 promoter in E. coli BL21 (DE3) cells.
The FLAG-rGCN4 protein could be readily expressed in E. coli. The protein was purified using an
anti-FLAG resin. Fractions taken during purification were analyzed by SDS-PAGE and the protein concentration of
the eluted protein determined with a lowry protein assay.
A yield of 3.4 mg/mL was obtained, corresponding to 422 µM of monomeric FLAG-GCN4.
To analyze the binding DNA affinity an EMSA was performed, in which
rGCN4 was incubated in binding buffer with a 20 bp DNA probe containing the INVii rGCN4 binding
sequence (5' GTCAtaTGAC 3') until equilibration.
Subsequently the formed protein-DNA complexes were loaded on a native PAGE. Afterwards the DNA bands were stained
with SYBR-safe.
rGCN4 binds to INVii with an apparent dissociation constant
KD of Kd of (0.298 ± 0.030) × 10-6 M, which is almost identical to the
GCN4 dissociation constant of (0.293 ± 0.033) × 10-6 M
Comparing them to literature values, our dissociation constants are approximately a factor 10 higher then those
described in literature ((96) × 10-8 M for
GCN4 and (2.90.8) × 10-8 M for rGCN4) (Hollenbeck et al., 2001). The
differences could be due to the lower sensitivity of SYBR-Safe staining compared to radio-labeled oligos.
Most likely, the protein concentration was miscalculated due to the presence of additional (lower intensity)
bands in
the SDS-PAGE analysis, indicating co-purification of small amounts of unspecific proteins.
We developed DaVinci, an in silico model, for rapid engineering and optimization of our PiCasSO system. DaVinci
serves as a digital twin to PiCasSO, analyzing the forces acting on the system, refining experimental parameters,
and identifying optimal interactions between protein staples and target DNA. The model was calibrated using
literature data and experimental affinity results from rGCN4 EMSA assays with purified proteins.
The apparent dissociation constant KD, calculated from the EMSA experiments, was used to calculate the
Gibbs free energy (ΔG) of the rGCN4-DNA interaction.
Our DaVinci model calculated ΔG by using an all-atom molecular dynamics simulation to compute the
dissociation of DNA from its bound state, capturing the transition between states by constructing
a custom weight function to sample the configuration space in a Monte Carlo scheme (Frenkel & Smit, 2023).This
approach
enables precise estimation of the energy landscape around the bound state and, furthermore, the calculation of the
thermodynamic quantities.
Comparing the wet lab with the dry lab results showed some discrepancies. The calculated ΔG based on the
measured KD of the wet lab experiments was 9.256 - 10.676 kCal mol-1 which compares well to
literature
with an estimate of G = 10.7 11.48 kCal mol-1 (Jessica J. Hollenbeck et al., 2001).
Even though the dry lab calculation is within the 1.6 deviation of the experimental data, this is due to a large
error in the calculation.
Moreover, when visualizing the trajectory, DNA strand separation was
observed, suggesting an unnatural event. Thus, this calculation will require further investigation to improve
accuracy
2. Usage and Biology
3. Assembly and part evolution
4. Results
4.1 Protein expression and purification
4.2 Electrophoretic Mobility shift assay
To further analyze DNA binding, quantitative shift assays were performed for GCN4 and rGCN4 (BBa_K5237008).
0.5 µM DNA were incubated with varying concentrations of protein until equilibration. After
electrophoresis, bands were stained with SYBR-Safe and quantified based on pixel intensity. The
obtained values were fitted to equation 1, describing formation of a 2:1 protein-DNA complex:
Θapp = Θmin + (Θmax - Θmin) ×
(Ka2 [L]tot2) / (1 + Ka2
[L]tot2)
Equation 1
Here [L]tot describes the total protein monomer concentration, Ka
corresponds
to the apparent monomeric equilibration constant. The Θmin/max values are the
experimentally
determined site saturation values (For this experiment 0 and 1 were chosen for min and max
respectively).
The FLAG-tag fusion to the N-terminus of proteins could potentially decrease binding affinity, likely due
to steric hindrance affecting the interaction with DNA. Interestingly, the differences in binding affinity
between GCN4 and rGCN4 appear negligible. Since GCN4 binds to DNA via its N-terminus and rGCN4 binds
C-terminally, the FLAG-tag likely does not directly influence DNA binding. However, it may influence the
dimerization of the proteins, which is necessary for DNA binding. To further investigate this, the
FLAG-tag can be cleaved using an enterokinase and potential changes in binding affinity analyzed.
Furthermore, coiled coil formation, and the amount of dimeric and monomeric proteins could be further analyzed
with circular dichroism spectroscopy (Greenfield, 2006).
4.3 In Silico Characterization Using DaVinci
DaVinci operates in three phases: static structure prediction, all-atom dynamics simulation, and long-range DNA
dynamics simulation. We applied the first two phases to our components, allowing us to characterize the structure
and dynamics of the DNA-binding interactions.
For our bivalent DNA-binding Mini Staple (BBa_K5237009),
consisting of GCN4 fused via a GSG-linker to rGCN4
(BBa_K5237008), we predicted the structure and binding
affinity and tested various linker options. We evaluated
the flexibility and rigidity of the constructs using pLDDT values from the predictions. Flexible linkers, like
('GGGGS')n, and rigid linkers, like ('EAAAK')n, were assessed (Arai et al., 2001). Predictions were colored by
pLDDT scores, providing insights into chain rigidity (Akdel et al., 2022; Guo et al., 2022). Construct C (Fig. 5)
was tested in the wet lab as part of BBa_K5237009, but it failed to bind DNA due to excessive rigidity, which
inhibited subunit dimerization.
4.4 Comparison of Wet and Dry Lab calculated ΔG
5. References
Akdel, M., Pires, D. E. V., Pardo, E. P., Janes, J., Zalevsky, A. O., Meszaros, B., Bryant, P., Good, L. L., Laskowski, R. A., Pozzati, G., Shenoy, A., Zhu, W., Kundrotas, P., Serra, V. R., Rodrigues, C. H. M., Dunham, A. S., Burke, D., Borkakoti, N., Velankar, S., … Beltrao, P. (2022). A structural biology community assessment of AlphaFold2 applications. Nat Struct Mol Biol, 29(11), 1056–1067. https://doi.org/10.1038/s41594-022-00849-w
Arai, R., Ueda, H., Kitayama, A., Kamiya, N., & Nagamune, T. (2001). Design of the linkers which effectively separate domains of a bifunctional fusion protein. Protein Engineering, Design and Selection, 14(8), 529–532. https://doi.org/10.1093/protein/14.8.529
Chen, X., Zaro, J. L., & Shen, W.-C. (2013). Fusion protein linkers: Property, design and functionality. Advanced Drug Delivery Reviews, 65(10), 1357–1369. https://doi.org/10.1016/j.addr.2012.09.039
Google DeepMind. (2024). AlphaFold Server. https://alphafoldserver.com/terms
Guo, H.-B., Perminov, A., Bekele, S., Kedziora, G., Farajollahi, S., Varaljay, V., Hinkle, K., Molinero, V., Meister, K., Hung, C., Dennis, P., Kelley-Loughnane, N., & Berry, R. (2022). AlphaFold2 models indicate that protein sequence determines both structure and dynamics. Scientific Reports, 12(1), 10696. https://doi.org/10.1038/s41598-022-14382-9
Hollenbeck, J. J., Gurnon, D. G., Fazio, G. C., Carlson, J. J., & Oakley, M. G. (2001). A GCN4 Variant with a C-Terminal Basic Region Binds to DNA with Wild-Type Affinity. Biochemistry, 40(46), 13833 - 13839.
Hollenbeck, J. J., & Oakley, M. G. (2000). GCN4 Binds with High Affinity to DNA Sequences Containing a Single Consensus Half-Site. Biochemistry, 39(21), 6380 - 6389. https://doi.org/10.1021/bi992705n