Multicenter study of acetaminophen hepatotoxicity reveals the importance of biological endpoints in genomic analyses

被引:56
作者
Beyer, Richard P.
Fry, Rebecca C.
Lasarev, Michael R.
McConnachie, Lisa A.
Meira, Lisiane B.
Palmer, Valerie S.
Powell, Christine L.
Ross, Pamela K.
Bammler, Theo K.
Bradford, Blair U.
Cranson, Alex B.
Cunningham, Michael L.
Fannin, Rickie D.
Higgins, Gregory M.
Hurban, Patrick
Kayton, Robert J.
Kerr, Kathleen F.
Kosyk, Oksana
Lobenhofer, Edward K.
Sieber, Stella O.
Vliet, Portia A.
Weis, Brenda K.
Wolfinger, Russel
Woods, Courtney G.
Freedman, Jonathan H.
Linney, Elwood
Kaufmann, William K.
Kavanagh, Terrance J.
Paules, Richard S.
Rusyn, Ivan
Samson, Leona D.
Spencer, Peter S.
Suk, William
Tennant, Raymond J.
Zarbl, Helmut
机构
[1] Univ N Carolina, Sch Publ Hlth, Dept Environm Sci & Engn, Chapel Hill, NC 27599 USA
[2] Univ Washington, Seattle, WA 98195 USA
[3] MIT, Cambridge, MA 02139 USA
[4] Oregon Hlth & Sci Univ, Portland, OR 97239 USA
[5] NIEHS, Res Triangle Pk, NC 27709 USA
[6] Cogenics, Div Clin Data Inc, Morrisville, NC 27560 USA
[7] SAS Inst Inc, Cary, NC 27513 USA
[8] Duke Univ, Med Ctr, Durham, NC 27710 USA
[9] Fred Hutchinson Canc Res Ctr, Seattle, WA 98109 USA
关键词
liver injury; toxicogenomics; phenotypic anchoring;
D O I
10.1093/toxsci/kfm150
中图分类号
R99 [毒物学(毒理学)];
学科分类号
100405 ;
摘要
Gene expression profiling is a widely used technique with data from the majority of published microarray studies being publicly available. These data are being used for meta-analyses and in silico discovery; however, the comparability of toxicogenomic data generated in multiple laboratories has not been critically evaluated. Using the power of prospective multilaboratory investigations, seven centers individually conducted a common toxicogenomics experiment designed to advance understanding of molecular pathways perturbed in liver by an acute toxic dose of N-acetyl p-aminophenol (APAP) and to uncover reproducible genomic signatures of APAP-induced toxicity. The nonhepatotoxic APAP isomer N-acetyl-m-aminophenol was used to identify gene expression changes unique to APAP Our data show that c-Myc is induced by APAP and that c-Myc-centered interactomes are the most significant networks of proteins associated with liver injury. Furthermore, sources of error and data variability among Centers and methods to accommodate this variability were identified by coupling gene expression with extensive toxicological evaluation of the toxic responses. We show that phenotypic anchoring of gene expression data is required for biologically meaningful analysis of toxicogenomic experiments.
引用
收藏
页码:326 / 337
页数:12
相关论文
共 52 条
  • [51] Assessing gene significance from cDNA microarray expression data via mixed models
    Wolfinger, RD
    Gibson, G
    Wolfinger, ED
    Bennett, L
    Hamadeh, H
    Bushel, P
    Afshari, C
    Paules, RS
    [J]. JOURNAL OF COMPUTATIONAL BIOLOGY, 2001, 8 (06) : 625 - 637
  • [52] GoMiner: a resource for biological interpretation of genomic and proteomic data
    Zeeberg, BR
    Feng, WM
    Wang, G
    Wang, MD
    Fojo, AT
    Sunshine, M
    Narasimhan, S
    Kane, DW
    Reinhold, WC
    Lababidi, S
    Bussey, KJ
    Riss, J
    Barrett, JC
    Weinstein, JN
    [J]. GENOME BIOLOGY, 2003, 4 (04)