Differential gene expression profiles are dependent upon method of peripheral blood collection and RNA isolation

被引:66
作者
Asare, Adam L. [1 ]
Kolchinsky, Svetlana A. [1 ]
Gao, Zhong [1 ]
Wang, Richard [1 ]
Raddassi, Khadir [1 ]
Bourcier, Katarzyna [1 ]
Seyfert-Margolis, Vicki [1 ]
机构
[1] Univ Calif San Francisco, Immune Tolerance Network, Bethesda, MD 20814 USA
关键词
D O I
10.1186/1471-2164-9-474
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
Background: RNA isolation and purification steps greatly influence the results of gene expression profiling. There are two commercially available products for whole blood RNA collection, PAXgene (TM) and Tempus (TM) blood collection tubes, and each comes with their own RNA purification method. In both systems the blood is immediately lysed when collected into the tube and RNA stabilized using proprietary reagents. Both systems enable minimal blood handling procedures thus minimizing the risk of inducing changes in gene expression through blood handling or processing. Because the RNA purification steps could influence the total RNA pool, we examined the impact of RNA isolation, using the PAXgene (TM) or Tempus (TM) method, on gene expression profiles. Results: Using microarrays as readout of RNA from stimulated whole blood we found a common set of expressed transcripts in RNA samples from either PAXgene (TM) or Tempus (TM). However, we also found several to be uniquely expressed depending on the type of collection tube, suggesting that RNA purification methods impact results of differential gene expression profiling. Specifically, transcripts for several known PHA-inducible genes, including IFN gamma, IL13, IL2, IL3, and IL4 were found to be upregulated in stimulated vs. control samples when RNA was isolated using the ABI Tempus (TM) method, but not using the PAXgene (TM) method (p < 0.01, FDR corrected). Sequenom Quantiative Gene Expression (QGE) (SanDiego, CA) measures confirmed IL2, IL4 and IFN gamma up-regulation in Tempus (TM) purified RNA from PHA stimulated cells while only IL2 was up-regulated using PAXgene (TM) purified (p < 0.05). Conclusion: Here, we demonstrate that peripheral blood RNA isolation methods can critically impact differential expression results, particularly in the clinical setting where fold-change differences are typically small and there is inherent variability within biological cohorts. A modified method based upon the Tempus (TM) system was found to provide high yield, good post-hybridization array quality, low variability in expression measures and was shown to produce differential expression results consistent with the predicted immunologic effects of PHA stimulation.
引用
收藏
页数:10
相关论文
共 16 条
  • [1] Kinetics of cytokine gene expression in human CD4+ and CD8+ T-lymphocyte subsets using quantitative real-time PCR
    Abdalla, AO
    Kiaii, S
    Hansson, L
    Rossmann, ED
    Jeddi-Tehrani, M
    Shokri, F
    Österborg, A
    Mellstedt, H
    Rabbani, H
    [J]. SCANDINAVIAN JOURNAL OF IMMUNOLOGY, 2003, 58 (06) : 601 - 606
  • [2] Chipping away at the chip bias: RNA degradation in microarray analysis
    Auer, H
    Lyianarachchi, S
    Newsom, D
    Klisovic, MI
    Marcucci, U
    Kornacker, K
    [J]. NATURE GENETICS, 2003, 35 (04) : 292 - 293
  • [3] Controlling the false discovery rate in behavior genetics research
    Benjamini, Y
    Drai, D
    Elmer, G
    Kafkafi, N
    Golani, I
    [J]. BEHAVIOURAL BRAIN RESEARCH, 2001, 125 (1-2) : 279 - 284
  • [4] A high-throughput gene expression analysis technique using competitive PCR and matrix-assisted laser desorption ionization time-of-flight MS
    Ding, CM
    Cantor, CR
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2003, 100 (06) : 3059 - 3064
  • [5] Development and evaluation of real competitive PCR for high-throughput quantitative applications
    Elvidge, GP
    Price, TS
    Glenny, L
    Ragoussis, E
    [J]. ANALYTICAL BIOCHEMISTRY, 2005, 339 (02) : 231 - 241
  • [6] 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
  • [7] Bioconductor: open software development for computational biology and bioinformatics
    Gentleman, RC
    Carey, VJ
    Bates, DM
    Bolstad, B
    Dettling, M
    Dudoit, S
    Ellis, B
    Gautier, L
    Ge, YC
    Gentry, J
    Hornik, K
    Hothorn, T
    Huber, W
    Iacus, S
    Irizarry, R
    Leisch, F
    Li, C
    Maechler, M
    Rossini, AJ
    Sawitzki, G
    Smith, C
    Smyth, G
    Tierney, L
    Yang, JYH
    Zhang, JH
    [J]. GENOME BIOLOGY, 2004, 5 (10)
  • [8] Ex vivo induction of cytokine mRNA expression in human blood samples
    Härtel, C
    Bein, G
    Müller-Steinhardt, M
    Klüter, H
    [J]. JOURNAL OF IMMUNOLOGICAL METHODS, 2001, 249 (1-2) : 63 - 71
  • [9] Improvement of molecular monitoring of residual disease in leukemias by bedside RNA stabilization
    Müller, MC
    Merx, K
    Weisser, A
    Kreil, S
    Lahaye, T
    Hehlmann, R
    Hochhaus, A
    [J]. LEUKEMIA, 2002, 16 (12) : 2395 - 2399
  • [10] RETRACTED: Gene expression profiling using RNA extracted from whole blood: technologies and clinical applications (Retracted Article)
    Pahl, A
    [J]. EXPERT REVIEW OF MOLECULAR DIAGNOSTICS, 2005, 5 (01) : 43 - 52