Variation in tissue-specific gene expression among natural populations

被引:130
作者
Whitehead, A [1 ]
Crawford, DL [1 ]
机构
[1] Univ Miami, Rosenstiel Sch Marine & Atmospher Sci, Miami, FL 33149 USA
关键词
D O I
10.1186/gb-2005-6-2-r13
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: Variation in gene expression is extensive among tissues, individuals, strains, populations and species. The interactions among these sources of variation are relevant for physiological studies such as disease or toxic stress; for example, it is common for pathologies such as cancer, heart failure and metabolic disease to be associated with changes in tissue-specific gene expression or changes in metabolic gene expression. But how conserved these differences are among outbred individuals and among populations has not been well documented. To address this we examined the expression of a selected suite of 192 metabolic genes in brain, heart and liver in three populations of the teleost fish Fundulus heteroclitus using a highly replicated experimental design. Results: Half of the genes (48%) were differentially expressed among individuals within a population-tissue group and 76% were differentially expressed among tissues. Differences among tissues reflected well established tissue-specific metabolic requirements, suggesting that these measures of gene expression accurately reflect changes in proteins and their phenotypic effects. Remarkably, only a small subset (31%) of tissue-specific differences was consistent in all three populations. Conclusions: These data indicate that many tissue-specific differences in gene expression are unique to one population and thus are unlikely to contribute to fundamental differences between tissue types. We suggest that those subsets of treatment-specific gene expression patterns that are conserved between taxa are most likely to be functionally related to the physiological state in question.
引用
收藏
页数:14
相关论文
共 37 条
[1]   Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling [J].
Alizadeh, AA ;
Eisen, MB ;
Davis, RE ;
Ma, C ;
Lossos, IS ;
Rosenwald, A ;
Boldrick, JG ;
Sabet, H ;
Tran, T ;
Yu, X ;
Powell, JI ;
Yang, LM ;
Marti, GE ;
Moore, T ;
Hudson, J ;
Lu, LS ;
Lewis, DB ;
Tibshirani, R ;
Sherlock, G ;
Chan, WC ;
Greiner, TC ;
Weisenburger, DD ;
Armitage, JO ;
Warnke, R ;
Levy, R ;
Wilson, W ;
Grever, MR ;
Byrd, JC ;
Botstein, D ;
Brown, PO ;
Staudt, LM .
NATURE, 2000, 403 (6769) :503-511
[2]   Identification of new genes differentially expressed in coronary artery disease by expression profiling [J].
Archacki, SR ;
Angheloiu, G ;
Tian, XL ;
Tan, FL ;
DiPaola, N ;
Shen, GQ ;
Moravec, C ;
Ellis, S ;
Topol, EJ ;
Wang, Q .
PHYSIOLOGICAL GENOMICS, 2003, 15 (01) :65-74
[3]   Transcriptional profiling reveals coordinated up-regulation of oxidative metabolism genes in thyroid oncocytic tumors [J].
Baris, O ;
Savagner, F ;
Nasser, V ;
Loriod, B ;
Granjeaud, S ;
Guyetant, S ;
Franc, B ;
Rodien, P ;
Rohmer, V ;
Bertucci, F ;
Birnbaum, D ;
Malthièry, Y ;
Reynier, P ;
Houlgatte, M .
JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM, 2004, 89 (02) :994-1005
[4]   Minimum information about a microarray experiment (MIAME) - toward standards for microarray data [J].
Brazma, A ;
Hingamp, P ;
Quackenbush, J ;
Sherlock, G ;
Spellman, P ;
Stoeckert, C ;
Aach, J ;
Ansorge, W ;
Ball, CA ;
Causton, HC ;
Gaasterland, T ;
Glenisson, P ;
Holstege, FCP ;
Kim, IF ;
Markowitz, V ;
Matese, JC ;
Parkinson, H ;
Robinson, A ;
Sarkans, U ;
Schulze-Kremer, S ;
Stewart, J ;
Taylor, R ;
Vilo, J ;
Vingron, M .
NATURE GENETICS, 2001, 29 (04) :365-371
[5]   Genetic dissection of transcriptional regulation in budding yeast [J].
Brem, RB ;
Yvert, G ;
Clinton, R ;
Kruglyak, L .
SCIENCE, 2002, 296 (5568) :752-755
[6]   Manifold anomalies in gene expression in a vineyard isolate of Saccharomyces cerevisiae revealed by DNA microarray analysis [J].
Cavalieri, D ;
Townsend, JP ;
Hartl, DL .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2000, 97 (22) :12369-12374
[7]   Natural variation in human gene expression assessed in lymphoblastoid cells [J].
Cheung, VG ;
Conlin, LK ;
Weber, TM ;
Arcaro, M ;
Jen, KY ;
Morley, M ;
Spielman, RS .
NATURE GENETICS, 2003, 33 (03) :422-425
[8]   A systematic statistical linear modeling approach to oligonucleotide array experiments [J].
Chu, TM ;
Weir, B ;
Wolfinger, R .
MATHEMATICAL BIOSCIENCES, 2002, 176 (01) :35-51
[9]  
Elek J, 2000, IN VIVO, V14, P173
[10]   Intra- and interspecific variation in primate gene expression patterns [J].
Enard, W ;
Khaitovich, P ;
Klose, J ;
Zöllner, S ;
Heissig, F ;
Giavalisco, P ;
Nieselt-Struwe, K ;
Muchmore, E ;
Varki, A ;
Ravid, R ;
Doxiadis, GM ;
Bontrop, RE ;
Pääbo, S .
SCIENCE, 2002, 296 (5566) :340-343