Lineage specificity of gene expression patterns

被引:35
作者
Kluger, Y
Tuck, DP
Chang, JT
Nakayama, Y
Poddar, R
Kohya, N
Lian, Z
Ben Nasr, A
Halaban, HR
Krause, DS
Zhang, XQ
Newburger, PE
Weissman, SM
机构
[1] Yale Univ, Sch Med, Dept Genet, New Haven, CT 06510 USA
[2] Yale Univ, Sch Med, Dept Pathol, New Haven, CT 06510 USA
[3] Yale Univ, Sch Med, Dept Stat, New Haven, CT 06510 USA
[4] Yale Univ, Sch Med, Dept Dermatol, New Haven, CT 06510 USA
[5] Yale Univ, Sch Med, Dept Med, New Haven, CT 06510 USA
[6] NYU, Sch Med, Dept Cell Biol, New York, NY 10016 USA
[7] Univ Massachusetts, Sch Med, Worcester, MA 01655 USA
关键词
D O I
10.1073/pnas.0401136101
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The hematopoietic system offers many advantages as a model for understanding general aspects of lineage choice and specification. Using oligonucleotide microarrays, we compared gene expression patterns of multiple purified hematopoietic cell populations, including neutrophils, monocytes, macrophages, resting, centrocytic, and centroblastic B lymphocytes, dendritic cells, and hematopoietic stem cells. Some of these cells were studied under both resting and stimulated conditions. We studied the collective behavior of subsets of genes derived from the Biocarta database of functional pathways, hand-tuned groupings of genes into broad functional categories based on the Gene Ontology database, and the metabolic pathways in the Kyoto Encyclopedia of Genes and Genomes database. Principal component analysis revealed strikingly pervasive differences in relative levels of gene expression among cell lineages that involve most of the subsets examined. These results indicate that many processes in these cells behave differently in different lineages. Much of the variation among lineages was captured by the first few principal components. Principal components biplots were found to provide a convenient visual display of the contributions of the various genes within the subsets in lineage discrimination. Moreover, by applying tree-constructing methodologies borrowed from phylogenetics to the expression data from differentiated cells and stem cells, we reconstructed a tree of relationships that resembled the established hematopoietic program of lineage development. Thus, the mRNA expression data implicitly contained information about developmental relationships among cell types.
引用
收藏
页码:6508 / 6513
页数:6
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