Team:Uppsala University/Translational
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IntaRNA, an RNA-RNA-interaction prediction software adapted for sRNA and ncRNA interactions [1] was used to predict the sRNA-mRNA interactions of the candidate sRNAs against the target mRNA containing the fusion between AAC(6’)-5’UTR. See <a href="https://2012.igem.org/Team:Uppsala_University/Modelling">modelling page</a> for details. Some of the sRNAs corresponding to the highest SYFP2 downregulation showed a significant basepair matching close to the RBS of the AAC(6’)-5’UTR. A few of the sRNAs was predicted to hybridize in the SYFP2 region of the mRNA.</p><br><br> | IntaRNA, an RNA-RNA-interaction prediction software adapted for sRNA and ncRNA interactions [1] was used to predict the sRNA-mRNA interactions of the candidate sRNAs against the target mRNA containing the fusion between AAC(6’)-5’UTR. See <a href="https://2012.igem.org/Team:Uppsala_University/Modelling">modelling page</a> for details. Some of the sRNAs corresponding to the highest SYFP2 downregulation showed a significant basepair matching close to the RBS of the AAC(6’)-5’UTR. A few of the sRNAs was predicted to hybridize in the SYFP2 region of the mRNA.</p><br><br> | ||
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Antibiotic resistance downregulation | Antibiotic resistance downregulation |
Revision as of 03:16, 27 September 2012
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[1] Sharma, V., Yamamura, A., Yokobayashi, Y., 2012. Engineering Artificial Small RNAs for Conditional Gene Silencing in Escherichia coli. ACS Synth. Biol. 1, 6–13.
[2] Holmqvist, E., Unoson, C., Reimegård, J., Wagner, E.G.H., 2012. A mixed double negative feedback loop between the sRNA MicF and the global regulator Lrp. Molecular Microbiology 84, 414–427.