Optimized blood cell profiling method for genomic biomarker discovery using high-density microarray

被引:17
作者
Shou, J [1 ]
Dotson, C
Qian, HR
Tao, W
Lin, C
Lawrence, F
N'Cho, M
Kulkarni, NH
Bull, CM
Gelbert, LM
Onyia, JE
机构
[1] Lilly Corp Ctr, Lilly Res Labs, Integrat Biol, Indianapolis, IN 46285 USA
[2] Lilly Res Labs, Expt Med, Indianapolis, IN USA
[3] Lilly Res Labs, Stat, Indianapolis, IN USA
[4] Lilly Res Labs, Angiogenesis & Tumor Microenvironm, Indianapolis, IN USA
[5] Lilly Res Labs, Musculoskeletal Biol, Indianapolis, IN USA
关键词
affymetrix; biomarker; haemoglobin reduction; microarray; peripheral blood; mononuclear cell ( PBMC); TEMPUS tube; whole blood;
D O I
10.1080/13547500500218583
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
High-quality biomarkers for disease progression, drug efficacy and toxicity liability are essential for improving the efficiency of drug discovery and development. The identification of drug-activity biomarkers is often limited by access to and the quantity of target tissue. Peripheral blood has increasingly become an attractive alternative to tissue samples from organs as source for biomarker discovery, especially during early clinical studies. However, given the heterogeneous blood cell population, possible artifacts from ex vivo activations, and technical difficulties associated with overall performance of the assay, it is challenging to profile peripheral blood cells directly for biomarker discovery. In the present study, Applied BioSystems' blood collection system was evaluated for its ability to isolate RNA suitable for use on the Affymetrix microarray platform. Blood was collected in a TEMPUS tube and RNA extracted using an ABI-6100 semi-automated workstation. Using human and rat whole blood samples, it was demonstrated that the RNA isolated using this approach was stable, of high quality and was suitable for Affymetrix microarray applications. The microarray data were statistically analysed and compared with other blood protocols. Minimal haemoglobin interference with RNA labelling efficiency and chip hybridization was found using the TEMPUS tube and extraction method. The RNA quality, stability and ease of handling requirement make the TEMPUS tube protocol an attractive approach for expression profiling of whole blood to support target and biomarker discovery.
引用
收藏
页码:310 / 320
页数:11
相关论文
共 24 条
  • [1] Human in vivo radiation-induced biomarkers:: Gene expression changes in radiotherapy patients
    Amundson, SA
    Grace, MB
    McLeland, CB
    Epperly, MW
    Yeager, A
    Zhan, QM
    Greenberger, JS
    Fornace, AJ
    [J]. CANCER RESEARCH, 2004, 64 (18) : 6368 - 6371
  • [2] Expression profiling of blood samples from an SU5416 Phase III metastatic colorectal cancer clinical trial: a novel strategy for biomarker identification
    DePrimo, SE
    Wong, LM
    Khatry, DB
    Nicholas, SL
    Manning, WC
    Smolich, BD
    O'Farrell, AM
    Cherrington, JM
    [J]. BMC CANCER, 2003, 3 (1)
  • [3] The transcriptome in blood: Challenges and solutions for robust expression profiling
    Fan, HT
    Hegde, PS
    [J]. CURRENT MOLECULAR MEDICINE, 2005, 5 (01) : 3 - 10
  • [4] Whole blood and leukocyte RNA isolation for gene expression analyses
    Feezor, RJ
    Baker, HV
    Mindrinos, M
    Hayden, D
    Tannahill, CL
    Brownstein, BH
    Fay, A
    MacMillan, S
    Laramie, J
    Xiao, WZ
    Moldawer, LL
    Cobb, JP
    Laudanski, K
    Miller-Graziano, CL
    Maier, RV
    Schoenfeld, D
    Davis, RW
    Tompkins, RG
    [J]. PHYSIOLOGICAL GENOMICS, 2004, 19 (03) : 247 - 254
  • [5] Clinical biomarkers in drug discovery and development
    Frank, R
    Hargreaves, R
    [J]. NATURE REVIEWS DRUG DISCOVERY, 2003, 2 (07) : 566 - 580
  • [6] Expression profiling of small cellular samples in cancer: less is more
    Glanzer, JG
    Eberwine, JH
    [J]. BRITISH JOURNAL OF CANCER, 2004, 90 (06) : 1111 - 1114
  • [7] Systems biology and new technologies enable predictive and preventative medicine
    Hood, L
    Heath, JR
    Phelps, ME
    Lin, BY
    [J]. SCIENCE, 2004, 306 (5696) : 640 - 643
  • [8] Huang Shuguang, 2003, Am J Pharmacogenomics, V3, P279, DOI 10.2165/00129785-200303040-00005
  • [9] A new approach to decoding life: Systems biology
    Ideker, T
    Galitski, T
    Hood, L
    [J]. ANNUAL REVIEW OF GENOMICS AND HUMAN GENETICS, 2001, 2 : 343 - 372
  • [10] Blood mononuclear cell gene expression profiles characterize the oxidant, hemolytic, and inflammatory stress of sickle cell disease
    Jison, ML
    Munson, PJ
    Barb, JJ
    Suffredini, AF
    Talwar, S
    Logun, C
    Raghavachari, N
    Beigel, JH
    Shelhamer, JH
    Danner, RL
    Gladwin, MT
    [J]. BLOOD, 2004, 104 (01) : 270 - 280