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RNAi Arrives at the Bedside after a Mere Two Decades.

Molecular therapy : the journal of the American Society of Gene Therapy

Haussecker D.
PMID: 30366820
Mol Ther. 2018 Nov 07;26(11):2533-2534. doi: 10.1016/j.ymthe.2018.10.003. Epub 2018 Oct 23.

No abstract available.

Cite
Haussecker D. RNAi Arrives at the Bedside after a Mere Two Decades. Mol Ther. 2018;26(11):2533-2534doi: 10.1016/j.ymthe.2018.10.003.
Haussecker, D. (2018). RNAi Arrives at the Bedside after a Mere Two Decades. Molecular therapy : the journal of the American Society of Gene Therapy, 26(11), 2533-2534. https://doi.org/10.1016/j.ymthe.2018.10.003
Haussecker, Dirk. "RNAi Arrives at the Bedside after a Mere Two Decades." Molecular therapy : the journal of the American Society of Gene Therapy vol. 26,11 (2018): 2533-2534. doi: https://doi.org/10.1016/j.ymthe.2018.10.003
Haussecker D. RNAi Arrives at the Bedside after a Mere Two Decades. Mol Ther. 2018 Nov 07;26(11):2533-2534. doi: 10.1016/j.ymthe.2018.10.003. Epub 2018 Oct 23. PMID: 30366820; PMCID: PMC6225097.
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IdealKnock: A framework for efficiently identifying knockout strategies leading to targeted overproduction.

Computational biology and chemistry

Gu D, Zhang C, Zhou S, Wei L, Hua Q.
PMID: 26948338
Comput Biol Chem. 2016 Apr;61:229-37. doi: 10.1016/j.compbiolchem.2016.02.014. Epub 2016 Feb 17.

In recent years, computer aided redesigning methods based on genome-scale metabolic network models (GEMs) have played important roles in metabolic engineering studies; however, most of these methods are hindered by intractable computing times. In particular, methods that predict knockout...

Cite
Gu D, Zhang C, Zhou S, et al. IdealKnock: A framework for efficiently identifying knockout strategies leading to targeted overproduction. Comput Biol Chem. 2016;61:229-37doi: 10.1016/j.compbiolchem.2016.02.014.
Gu, D., Zhang, C., Zhou, S., Wei, L., & Hua, Q. (2016). IdealKnock: A framework for efficiently identifying knockout strategies leading to targeted overproduction. Computational biology and chemistry, 61229-37. https://doi.org/10.1016/j.compbiolchem.2016.02.014
Gu, Deqing, et al. "IdealKnock: A framework for efficiently identifying knockout strategies leading to targeted overproduction." Computational biology and chemistry vol. 61 (2016): 229-37. doi: https://doi.org/10.1016/j.compbiolchem.2016.02.014
Gu D, Zhang C, Zhou S, Wei L, Hua Q. IdealKnock: A framework for efficiently identifying knockout strategies leading to targeted overproduction. Comput Biol Chem. 2016 Apr;61:229-37. doi: 10.1016/j.compbiolchem.2016.02.014. Epub 2016 Feb 17. PMID: 26948338.
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RNAi/CRISPR Screens: from a Pool to a Valid Hit.

Trends in biotechnology

Schuster A, Erasimus H, Fritah S, Nazarov PV, van Dyck E, Niclou SP, Golebiewska A.
PMID: 30177380
Trends Biotechnol. 2019 Jan;37(1):38-55. doi: 10.1016/j.tibtech.2018.08.002. Epub 2018 Aug 31.

High-throughput genetic screens interfering with gene expression are invaluable tools to identify gene function and phenotype-to-genotype interactions. Implementing such screens in the laboratory is challenging, and the choice between currently available technologies based on RNAi and CRISPR/Cas9 (CRISPR-associated protein...

Cite
Schuster A, Erasimus H, Fritah S, et al. RNAi/CRISPR Screens: from a Pool to a Valid Hit. Trends Biotechnol. 2018;37(1):38-55doi: 10.1016/j.tibtech.2018.08.002.
Schuster, A., Erasimus, H., Fritah, S., Nazarov, P. V., van Dyck, E., Niclou, S. P., & Golebiewska, A. (2019). RNAi/CRISPR Screens: from a Pool to a Valid Hit. Trends in biotechnology, 37(1), 38-55. https://doi.org/10.1016/j.tibtech.2018.08.002
Schuster, Anne, et al. "RNAi/CRISPR Screens: from a Pool to a Valid Hit." Trends in biotechnology vol. 37,1 (2019): 38-55. doi: https://doi.org/10.1016/j.tibtech.2018.08.002
Schuster A, Erasimus H, Fritah S, Nazarov PV, van Dyck E, Niclou SP, Golebiewska A. RNAi/CRISPR Screens: from a Pool to a Valid Hit. Trends Biotechnol. 2019 Jan;37(1):38-55. doi: 10.1016/j.tibtech.2018.08.002. Epub 2018 Aug 31. PMID: 30177380.
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