Open Access Highly Accessed Research article

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

Colin Clarke1*, Michael Henry1, Padraig Doolan1, Shane Kelly1, Sinead Aherne12, Noelia Sanchez1, Paul Kelly1, Paula Kinsella1, Laura Breen1, Stephen F Madden12, Lin Zhang3, Mark Leonard3, Martin Clynes1, Paula Meleady1* and Niall Barron1*

Author Affiliations

1 National Institute for Cellular Biotechnology, Dublin City University, Dublin 9, Ireland

2 Molecular Therapeutics for Cancer Ireland, Dublin City University, Dublin 9, Ireland

3 Bioprocess R&D, Pfizer Inc., Andover, Massachusetts, USA

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BMC Genomics 2012, 13:656  doi:10.1186/1471-2164-13-656

Published: 21 November 2012

Additional files

Additional file 1:

Sample Information. Growth rates and " fast", "slow" designations for samples subjected to miRNA, mRNA and proteomic profiling.

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Open Data

Additional file 2:

MicroRNA differential expression. DE miRNAs identified following TLDA analysis. Also included are the PCCs utilised to identify 51 high priority miRNAs.

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Additional file 3:

Protein differential expression. DE proteins identified using LC-MS/MS analysis and the BB-CHO proteomic database.

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Additional file 4:

mRNA differential expression. DE mRNA identified using the CHO specific WyeHamster3a Affymetrix microarray.

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Additional file 5:

GO enrichment analysis. Enrichment analysis of DE protein and mRNA lists against GO biological processes using DAVID.

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Additional file 6:

in-silico miRNA target prediction of Group A targets. Identification of potential targets using TargetScan for candidate Group A.

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Additional file 7:

in-silico miRNA target prediction of Group B targets. Identification of potential targets using TargetScan for candidate Group B.

Format: XLSX Size: 47KB Download file

Open Data