Download PDF by Lyne Jossé, Lin Zhang, C Mark Smales (auth.), Niall Barron: MicroRNAs as Tools in Biopharmaceutical Production

By Lyne Jossé, Lin Zhang, C Mark Smales (auth.), Niall Barron (eds.)

ISBN-10: 9400751273

ISBN-13: 9789400751279

ISBN-10: 9400751281

ISBN-13: 9789400751286

Focused manuscript at the strength use/role of miRNAs in bioprocessing, in particular the construction of complicated proteins in mammalian cells. With that during brain I suggest a draft checklist of topics/chapters alongside the next strains: Intro on CHO/bioprocessing/engineering demanding situations to set scene, Genomic association, biogenesis and mode of motion, selecting miRNA objectives: Computational prediction, transcriptomics, proteomices, UTR research, etc., miRNA expression in chinese language Hamster Ovary cells, miRNAs as engineering goals: pathway manipulation to affect bioprocess phenotypes, miRNAs as biomarkers, Detection equipment: Northern, PCR, hybridization arrays, subsequent Gen Seq, Manipulation of expression in cultured cells: Transient/stable disregulation, Knockout.

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Science 293(5531):834–838. 1062961 John B, Enright AJ, Aravin A, Tuschl T, Sander C, Marks DS (2004) Human MicroRNA targets. PLoS Biol 2(11):e363. 0020363 Kawamata T, Seitz H, Tomari Y (2009) Structural determinants of miRNAs for RISC loading and slicer-independent unwinding. Nat Struct Mol Biol 16(9):953–960. 1630 Kawamata T, Tomari Y (2010) Making RISC. Trends Biochem Sci 35(7):368–376. 009 Khvorova A, Reynolds A, Jayasena SD (2003) Functional siRNAs and miRNAs exhibit strand bias. Cell 115(2):209–216 Kim J, Krichevsky A, Grad Y, Hayes GD, Kosik KS, Church GM, Ruvkun G (2004) Identification of many microRNAs that copurify with polyribosomes in mammalian neurons.

009 Khvorova A, Reynolds A, Jayasena SD (2003) Functional siRNAs and miRNAs exhibit strand bias. Cell 115(2):209–216 Kim J, Krichevsky A, Grad Y, Hayes GD, Kosik KS, Church GM, Ruvkun G (2004) Identification of many microRNAs that copurify with polyribosomes in mammalian neurons. Proc Natl Acad Sci U S A 101(1):360–365. 2333854100 Kim VN, Nam JW (2006) Genomics of microRNA. Trends Genet 22(3):165–173. 003 Kong YW, Cannell IG, de Moor CH, Hill K, Garside PG, Hamilton TL, Meijer HA, Dobbyn HC, Stoneley M, Spriggs KA, Willis AE, Bushell M (2008) The mechanism of micro-RNA-mediated translation repression is determined by the promoter of the target gene.

2003). The underlying rationale of the TargetScan method is that, by returning only perfect seed matches and utilising only groups of orthologous 3 UTRs as input, the false positive rate can be controlled (although non-conserved sites will be missed). The algorithm begins by locating perfect complementarity to the miRNA seed regions. Once a seed match is located TargetScan extends the alignment along the 3 UTR until a mismatch is located (G:U wobbles are permitted). The optimum base pairing at the 3 end of the miRNA is determined and RNAfold calculates the free energy to the miRNA-mRNA interaction.

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MicroRNAs as Tools in Biopharmaceutical Production by Lyne Jossé, Lin Zhang, C Mark Smales (auth.), Niall Barron (eds.)


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