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

被引:98
|
作者
Nissom, Peter Morin
Sanny, Arleen
Kok, Yee Jiun
Hiang, Yeo Thong
Chuah, Song Hui
Shing, Tan Kher
Lee, Yih Yean
Wong, Kathy Tin Kam
Hu, Wei-shou
Sim, Miranda Yap Gek
Philp, Robin
机构
[1] Bioproc Technol Inst, Singapore 138668, Singapore
[2] Univ Minnesota, Dept Chem Engn & Mat Sci, Minneapolis, MN 55455 USA
[3] Natl Univ Singapore, Dept Chem & Biomol Engn, Singapore 119260, Singapore
关键词
microarray; proteomics; Chinese hamster ovary; biotherapeutic; transcriptome; proteome;
D O I
10.1385/MB:34:2:125
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
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 S100a 11) 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.
引用
收藏
页码:125 / 140
页数:16
相关论文
共 50 条
  • [1] 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
    Tin Kam Wong
    Wei-shou Hu
    Miranda Yap Gek Sim
    Robin Philp
    Molecular Biotechnology, 2006, 34 : 125 - 140
  • [2] Influence of low temperature on productivity, proteome and protein phosphorylation of CHO cells
    Kaufmann, H
    Mazur, X
    Fussenegger, M
    Bailey, JE
    BIOTECHNOLOGY AND BIOENGINEERING, 1999, 63 (05) : 573 - 582
  • [3] Characterization of glutathione proteome in CHO cells and its relationship with productivity and cholesterol synthesis
    Chevallier, Valentine
    Schoof, Erwin M.
    Malphettes, Laetitia
    Andersen, Mikael R.
    Workman, Christopher T.
    BIOTECHNOLOGY AND BIOENGINEERING, 2020, 117 (11) : 3448 - 3458
  • [4] Identifying key signatures of highly productive CHO cells from transcriptome and proteome profiles
    Arleen Sanny
    Yee Jiun Kok
    Robin Philip
    Song Hui Chuah
    Sze Wai Ng
    Kher Shing Tan
    Lee Yih Yean
    Kathy Wong
    Hu Weishou
    Miranda Yap
    Peter Morin Nissom
    Microbial Cell Factories, 5 (Suppl 1)
  • [5] Integrating transcriptome and proteome profiling: Strategies and applications
    Kumar, Dhirendra
    Bansal, Gourja
    Narang, Ankita
    Basak, Trayambak
    Abbas, Tahseen
    Dash, Debasis
    PROTEOMICS, 2016, 16 (19) : 2533 - 2544
  • [6] Functional profiling of the Tritrichomonas foetus transcriptome and proteome
    Huang, Kuo-Yang
    Shin, Jyh-Wei
    Huang, Po-Jung
    Ku, Fu-Man
    Lin, Wei-Chen
    Lin, Rose
    Hsu, Wei-Min
    Tang, Petrus
    MOLECULAR AND BIOCHEMICAL PARASITOLOGY, 2013, 187 (01) : 60 - 71
  • [7] Comparative profiling of the CHO transcriptome by RNA-Seq
    Jacob, Nitya M.
    Rao, Navneet
    Nissom, Peter M.
    Chin, Ju-Xin
    Yusufi, Faraaz
    Chuah, Song-Hui
    Retzel, Ernest F.
    Loo, Bernard L. W.
    Lee, Dong-Yup
    Karypis, George
    Yap, Miranda
    Hu, Wei-Shou
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2010, 239
  • [8] Doubling the productivity of CHO cells
    Baktur R.
    Elwood A.
    Anderson J.
    Wight M.
    Genetic Engineering and Biotechnology News, 2016, 36 (05): : 25
  • [9] Understanding translational control mechanisms of the mTOR pathway in CHO cells by polysome profiling
    Courtes, Franck C.
    Vardy, Leah
    Wong, Niki S. C.
    Bardor, Muriel
    Yap, Miranda G. S.
    Lee, Dong-Yup
    NEW BIOTECHNOLOGY, 2014, 31 (05) : 514 - 523
  • [10] Comparative proteome analysis of Staphylococcus aureus biofilm and planktonic cells and correlation with transcriptome profiling
    Resch, A
    Leicht, S
    Saric, M
    Pásztor, L
    Jakob, A
    Götz, F
    Nordheim, A
    PROTEOMICS, 2006, 6 (06) : 1867 - 1877