Elinramstrom (Talk | contribs) |
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− | <a href="https://2018.igem.org/Team:Uppsala/Worm_Culturing" ><img src="https://static.igem.org/mediawiki/2018/f/ff/T--Uppsala--cell_lysis.svg | + | <a href="https://2018.igem.org/Team:Uppsala/Worm_Culturing" ><img src="https://static.igem.org/mediawiki/2018/f/ff/T--Uppsala--cell_lysis.svg" ></a> |
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− | <a href="https://2018.igem.org/wiki/index.php?title=Team:Uppsala/Transcriptomics/Total_RNA_Purification" ><img src="https://static.igem.org/mediawiki/2018/5/51/T--Uppsala--RNA.svg" id="RNAimg | + | <a href="https://2018.igem.org/wiki/index.php?title=Team:Uppsala/Transcriptomics/Total_RNA_Purification" ><img src="https://static.igem.org/mediawiki/2018/5/51/T--Uppsala--RNA.svg" id="RNAimg"></a> |
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− | <a href="https://2018.igem.org/Team:Uppsala/Transcriptomics/PolyA_Tailing" ><img src="https://static.igem.org/mediawiki/2018/2/24/T--Uppsala--PolyA.svg" | + | <a href="https://2018.igem.org/Team:Uppsala/Transcriptomics/PolyA_Tailing" ><img src="https://static.igem.org/mediawiki/2018/2/24/T--Uppsala--PolyA.svg" </a> |
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− | <a href="https://2018.igem.org/Team:Uppsala/Transcriptomics/cDNA_Conversion" ><img src="https://static.igem.org/mediawiki/2018/a/ae/T--Uppsala--cDNA.svg" id="cDNAimg | + | <a href="https://2018.igem.org/Team:Uppsala/Transcriptomics/cDNA_Conversion" ><img src="https://static.igem.org/mediawiki/2018/a/ae/T--Uppsala--cDNA.svg" id="cDNAimg" ></a> |
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− | <a href="https://2018.igem.org/Team:Uppsala/Transcriptomics/Sequencing" > <img src="https://static.igem.org/mediawiki/2018/c/cf/T--Uppsala--flowchart_nanopore.svg" | + | <a href="https://2018.igem.org/Team:Uppsala/Transcriptomics/Sequencing" > <img src="https://static.igem.org/mediawiki/2018/c/cf/T--Uppsala--flowchart_nanopore.svg" id="sequencingimg" ></a> |
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Revision as of 19:41, 16 October 2018
The idea behind the work of the transcriptomics group is to try and detect any changes in gene expression when E. coli is grown alongside strongyles as opposed to just being grown in a normal lab environment. The aim for this undertaking is to find any and all genes which might be expressed exclusively in proximity to the worms - giving us a prime opportunity to work some biotech magic and find a way to make a diagnostics tool that would allow the bacteria to detect strongyle parasites by using this bacteria gene.
The way we decided to approach this was by running a full-scale transcriptome sequencing on the entire E. coli genome, both in bacteria grown normally and grown alongside the worms. By doing this, we would be able to quantitatively determine the differences in gene expression and pick out the expressions that are different.
For this, we created an eight-step pipeline starting from lysing the bacteria to extracting their RNA contents, to refining, and finally sequencing the genetic material using Oxford Nanopore’s MinION device - which you plug in to your laptop. That same laptop will then be used to understand what exactly is going on in the bacteria.
Figure 1: Flowchart with all steps of the transcriptomics outline.