Transcriptome and proteome profiling to understanding the biology of high productivity CHO cells

Peter Morin Nissom, Arleen Sanny, Yee Jiun Kok, Yeo Thong Hiang, Song Hui Chuah, Tan Kher Shing, Yih Yean Lee, Kathy Tin Kam Wong, Wei Shou Hu, Miranda Yap Gek Sim, Robin Philp

Research output: Contribution to journalArticlepeer-review

106 Scopus citations


A combined transcriptome and proteome analysis was carried out to identify key genes and proteins differentially expressed in Chinese hamster ovary (CHO) cells producing high and low levels of dhfr-GFP fusion protein. Comparison of transcript levels was performed using a proprietary 15K CHO cDNA microarray chip, whereas proteomic analysis was performed using iTRAQ quantitative protein profiling technique. Microarray analysis revealed 77 differentially expressed genes, with 53 genes upregulated and 24 genes downregulated. Proteomic analysis gave 75 and 80 proteins for the midexponential and stationary phase, respectively. Although there was a general lack of correlation between mRNA levels and quantitated protein abundance, results from both datasets concurred on groups of proteins/genes based on functional categorization. A number of genes (20%) and proteins (45 and 23%) were involved in processes related to protein biosynthesis. We also identified three genes/proteins involved in chromatin modification. Enzymes responsible for opening up chromatin, Hmgn3 and Hmgb1, were upregulated whereas enzymes that condense chromatin, histone H1.2, were downregulated. Genes and proteins that promote cell growth (Igfbp4, Ptma, S100a6, and Lgals3) were downregulated, whereas those that deter cell growth (Ccng2, Gsg2, and S100a11) were upregulated. Other main groups of genes and proteins include carbohydrate metabolism, signal transduction, and transport. Our findings show that an integrated genomic and proteomics approach can be effectively utilized to monitor transcriptional and posttranscriptional events of mammalian cells in culture.

Original languageEnglish (US)
Pages (from-to)125-140
Number of pages16
JournalMolecular Biotechnology
Issue number2
StatePublished - Oct 2006

Bibliographical note

Funding Information:
We thank A*Star, Agency for Science, Technology and Research, Singapore for funding the project. Katie Wlaschin, Joon Chong Yee for their support in developing the CHO cDNA microarray, Lu Wei Da, Ng Sze Wai, Angie Chang, and Toh Poh Choo of BTI for their excellent technical assistance.

Copyright 2009 Elsevier B.V., All rights reserved.


  • Biotherapeutic
  • Chinese hamster ovary
  • Microarray
  • Proteome
  • Proteomics
  • Transcriptome


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