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Human fetal neuroblast and neuroblastoma transcriptome analysis confirms neuroblast origin and highlights neuroblastoma candidate genes
被引:120
作者:
De Preter, Katleen
Vandesompele, Jo
Heimann, Pierre
Yigit, Nurten
Beckman, Siv
Schramm, Alexander
Eggert, Angelika
Stallings, Raymond L.
Benoit, Yves
Renard, Marleen
De Paepe, Anne
Laureys, Genevieve
Pahlman, Sven
Speleman, Frank
机构:
[1] Ghent Univ Hosp, Ctr Med Genet, B-9000 Ghent, Belgium
[2] Erasme Univ Hosp, Dept Med Genet, B-1070 Brussels, Belgium
[3] Lund Univ, Univ Hosp MAS, Dept Lab Med, Div Mol Med, SE-20502 Malmo, Sweden
[4] Univ Hosp Essen, Dept Pediat Oncol & Hematol, D-45122 Essen, Germany
[5] Univ Texas, Hlth Sci Ctr, Childrens Canc Res Inst, San Antonio, TX 78229 USA
[6] Ghent Univ Hosp, Dept Pediat, B-9000 Ghent, Belgium
[7] Univ Hosp Gasthuisberg, Dept Pediat, B-3000 Louvain, Belgium
关键词:
D O I:
10.1186/gb-2006-7-9-r84
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: Neuroblastoma tumor cells are assumed to originate from primitive neuroblasts giving rise to the sympathetic nervous system. Because these precursor cells are not detectable in postnatal life, their transcription profile has remained inaccessible for comparative data mining strategies in neuroblastoma. This study provides the first genome-wide mRNA expression profile of these human fetal sympathetic neuroblasts. To this purpose, small islets of normal neuroblasts were isolated by laser microdissection from human fetal adrenal glands. Results: Expression of catecholamine metabolism genes, and neuronal and neuroendocrine markers in the neuroblasts indicated that the proper cells were microdissected. The similarities in expression profile between normal neuroblasts and malignant neuroblastomas provided strong evidence for the neuroblast origin hypothesis of neuroblastoma. Next, supervised feature selection was used to identify the genes that are differentially expressed in normal neuroblasts versus neuroblastoma tumors. This approach efficiently sifted out genes previously reported in neuroblastoma expression profiling studies; most importantly, it also highlighted a series of genes and pathways previously not mentioned in neuroblastoma biology but that were assumed to be involved in neuroblastoma pathogenesis. Conclusion: This unique dataset adds power to ongoing and future gene expression studies in neuroblastoma and will facilitate the identification of molecular targets for novel therapies. In addition, this neuroblast transcriptome resource could prove useful for the further study of human sympathoadrenal biogenesis.
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