Biomedical Engineering Reference
In-Depth Information
miRNA expression analysis in other cell lines and organisms, it is good practice to use
one of two high throughput methods, microarrays or NGS, followed by verification
of qRT-PCR when enthusiastic researchers start to swim further into the unknown
waters of CHO miRNA expression. This workflow may increase the confidence in
selecting the miRNAs discovered to proceed to cell engineering work.
Acknowledgements The authors would like to thank Dr. Niall Barron and Dr. Kevin J. Kayser for
their helpful discussions during preparation of this chapter.
References
Ambros V, Bartel B, Bartel DP, Burge CB, Carrington JC, Chen X, Dreyfuss G, Eddy SR, Griffiths-
Jones S, Marshall M, Matzke M, Ruvkun G, Tuschl T (2003) A uniform system for microRNA
annotation. Rna 9:277-299
Barron N, Kumar N, Sanchez N, Doolan P, Clarke C, Meleady P, O'Sullivan F, Clynes M (2011a)
Engineering CHO cell growth and recombinant protein productivity by overexpression of miR-7.
J Biotechnol 151:204-211
Barron N, Sanchez N, Kelly P, Clynes M (2011b) MicroRNAs: tiny targets for engineering CHO
cell phenotypes? Biotechnol Lett 33:11-21
Bartel DP (2004) MicroRNAs: Genomics, biogenesis, mechanism, and function. Cell 116:281-297
Berezikov E, Guryev V, Van De Belt J, Wienholds E, Plasterk RH, Cuppen E (2005) Phylogenetic
shadowing and computational identification of human microRNA genes. Cell 120:21-24
Biscontin A, Casara S, Cagnin S, Tombolan L, Rosolen A, Lanfranchi G, De Pitta C (2010) New
miRNA labeling method for bead-based quantification. BMC Mol Biol 11:44
Bort JA, Hackl M, Hoflmayer H, Jadhav V, Harreither E, Kumar N, Ernst W, Grillari J, Borth N
(2011) Dynamic mRNA and miRNA profiling of CHO-K1 suspension cell cultures. Biotechnol
J.
Brattelid T, Aarnes EK, Helgeland E, Guvaag S, Eichele H, Jonassen AK (2011) Normalization
strategy is critical for the outcome of miRNA expression analyses in the rat heart. Physiol
Genomics 43:604-610
Buermans HP, Ariyurek Y, Van Ommen G, Den Dunnen JT T, Hoen P A (2010) New methods for
next generation sequencing based microRNA expression profiling. BMC Genomics 11:716
Carlsson J, Helenius G, Karlsson M, Lubovac Z, Andren O, Olsson B, Klinga-Levan K (2010)
Validation of suitable endogenous control genes for expression studies of miRNA in prostate
cancer tissues. Cancer Genet Cytogenet 202:71-75
Castoldi M, Benes V, Hentze MW, Muckenthaler MU (2007) miChip: a microarray platform for
expression profiling of microRNAs based on locked nucleic acid (LNA) oligonucleotide capture
probes. Methods 43:146-152
Chen C, Ridzon DA, Broomer AJ, Zhou Z, Lee DH, Nguyen JT, Barbisin M, Xu NL, Mahuvakar VR,
Andersen MR, Lao KQ, Livak KJ, Guegler KJ (2005) Real-time quantification of microRNAs
by stem-loop RT-PCR. Nucleic Acids Res 33:e179
Chen D, Pan X, Xiao P, Farwell MA, Zhang B (2011) Evaluation and identification of reliable
reference genes for pharmacogenomics, toxicogenomics, and small RNA expression analysis.
J Cell Physiol, 226:2469-2477
Chen J, Lozach J, Garcia EW, Barnes B, Luo S, Mikoulitch I, Zhou L, Schroth G, Fan JB (2008)
Highly sensitive and specific microRNA expression profiling using BeadArray technology.
Nucleic Acids Res 36:e87
Chen Y, Gelfond JA, Mcmanus LM, Shireman PK (2009) Reproducibility of quantitative RT-PCR
array in miRNA expression profiling and comparison with microarray analysis. BMC Genomics
10:407
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