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


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2006-10

AUTHORS

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

ABSTRACT

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 15 K CHO cDNA microarray chip, whereas proteomic analysis was perfomed 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. More... »

PAGES

125-140

Identifiers

URI

http://scigraph.springernature.com/pub.10.1385/mb:34:2:125

DOI

http://dx.doi.org/10.1385/mb:34:2:125

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1036867840

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/17172658


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