Literature DB >> 22445466

Impact of miR-7 over-expression on the proteome of Chinese hamster ovary cells.

Paula Meleady1, Mark Gallagher, Colin Clarke, Michael Henry, Noelia Sanchez, Niall Barron, Martin Clynes.   

Abstract

MicroRNAs play critical roles in the regulation of biological processes such as growth, apoptosis, productivity and secretion thus representing a potential route toward enhancing desirable characteristics of mammalian cells for biopharmaceutical production. We have previously found that miR-7 over-expression significantly inhibits the growth of CHO-SEAP cells without impacting cellular viability, with an associated increase in normalised productivity. Understanding the biological basis of this effect might open the way to new strategies for bioprocess-relevant growth regulation. In this study we have carried out a quantitative label-free LC-MS profiling study of proteins exhibiting altered levels following over-expression of miR-7 to gain insights into potential mechanisms involved in the observed phenotype. From the analysis we found 93 proteins showing decreased levels and 74 proteins with increased levels following over-expression of miR-7. Pathway analysis suggests that proteins involved in protein translation (e.g. ribosomal proteins), RNA and DNA processing (including histones) are enriched in the list of proteins showing decreased expression. Proteins involved in protein folding and secretion were found to be up-regulated following miR-7 over-expression. In silico bioinformatic analysis using miRWalk, which combined the output from 6 selected miRNA target prediction algorithms, was used to evaluate if any of the down-regulated proteins were potential direct targets of miR-7. Two genes, stathmin and catalase, which both have known roles in the regulation of cellular growth, were found to overlap a number of the predictive target database searches in both mouse and rat, and are likely to be possible direct targets of miR-7 in CHO cells. This is the first report investigating the impact of a miRNA on the proteome of CHO cells.
Copyright © 2012 Elsevier B.V. All rights reserved.

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Year:  2012        PMID: 22445466     DOI: 10.1016/j.jbiotec.2012.03.002

Source DB:  PubMed          Journal:  J Biotechnol        ISSN: 0168-1656            Impact factor:   3.307


  16 in total

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2.  Elucidation of the CHO Super-Ome (CHO-SO) by Proteoinformatics.

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Review 3.  Tiny giants of gene regulation: experimental strategies for microRNA functional studies.

Authors:  Bruno R Steinkraus; Markus Toegel; Tudor A Fulga
Journal:  Wiley Interdiscip Rev Dev Biol       Date:  2016-03-07       Impact factor: 5.814

4.  Simultaneous Pathoproteomic Evaluation of the Dystrophin-Glycoprotein Complex and Secondary Changes in the mdx-4cv Mouse Model of Duchenne Muscular Dystrophy.

Authors:  Sandra Murphy; Michael Henry; Paula Meleady; Margit Zweyer; Rustam R Mundegar; Dieter Swandulla; Kay Ohlendieck
Journal:  Biology (Basel)       Date:  2015-06-10

5.  Analysis of microRNA transcription and post-transcriptional processing by Dicer in the context of CHO cell proliferation.

Authors:  Matthias Hackl; Vaibhav Jadhav; Gerald Klanert; Michael Karbiener; Marcel Scheideler; Johannes Grillari; Nicole Borth
Journal:  J Biotechnol       Date:  2014-01-28       Impact factor: 3.307

6.  MiR-7 triggers cell cycle arrest at the G1/S transition by targeting multiple genes including Skp2 and Psme3.

Authors:  Noelia Sanchez; Mark Gallagher; Nga Lao; Clair Gallagher; Colin Clarke; Padraig Doolan; Sinead Aherne; Alfonso Blanco; Paula Meleady; Martin Clynes; Niall Barron
Journal:  PLoS One       Date:  2013-06-06       Impact factor: 3.240

7.  Integrated miRNA, mRNA and protein expression analysis reveals the role of post-transcriptional regulation in controlling CHO cell growth rate.

Authors:  Colin Clarke; Michael Henry; Padraig Doolan; Shane Kelly; Sinead Aherne; Noelia Sanchez; Paul Kelly; Paula Kinsella; Laura Breen; Stephen F Madden; Lin Zhang; Mark Leonard; Martin Clynes; Paula Meleady; Niall Barron
Journal:  BMC Genomics       Date:  2012-11-21       Impact factor: 3.969

8.  Label-free LC-MS analysis of HER2+ breast cancer cell line response to HER2 inhibitor treatment.

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Journal:  Daru       Date:  2015-08-04       Impact factor: 3.117

Review 9.  CHO microRNA engineering is growing up: recent successes and future challenges.

Authors:  Vaibhav Jadhav; Matthias Hackl; Aliaksandr Druz; Smriti Shridhar; Cheng-Yu Chung; Kelley M Heffner; David P Kreil; Mike Betenbaugh; Joseph Shiloach; Niall Barron; Johannes Grillari; Nicole Borth
Journal:  Biotechnol Adv       Date:  2013-08-02       Impact factor: 14.227

10.  Intricate effects of primary motor neuronopathy on contractile proteins and metabolic muscle enzymes as revealed by label-free mass spectrometry.

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Journal:  Biosci Rep       Date:  2014-07-01       Impact factor: 3.840

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