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Human fetal neuroblast and neuroblastoma transcriptome analysis confirms neuroblast origin and highlights neuroblastoma candidate genes

De Preter, Katleen ; Vandesompele, Jo ; Heimann, Pierre ; Yigit, Nurten ; Beckman, Siv LU ; Schramm, Alexander ; Eggert, Angelika ; Stallings, Raymond L. ; Benoit, Yves and Renard, Marleen , et al. (2006) In Genome Biology 7(9).
Abstract
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... (More)
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. (Less)
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organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Genome Biology
volume
7
issue
9
publisher
BioMed Central (BMC)
external identifiers
  • wos:000242490400010
  • scopus:33750475218
  • pmid:16989664
ISSN
1474-7596
DOI
10.1186/gb-2006-7-9-r84
language
English
LU publication?
yes
additional info
The information about affiliations in this record was updated in December 2015. The record was previously connected to the following departments: Molecular Medicine (013031200)
id
579a4190-8444-4d8a-90f0-8515bb352dfb (old id 685181)
date added to LUP
2016-04-01 12:22:12
date last changed
2021-09-22 05:32:22
@article{579a4190-8444-4d8a-90f0-8515bb352dfb,
  abstract     = {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.},
  author       = {De Preter, Katleen and Vandesompele, Jo and Heimann, Pierre and Yigit, Nurten and Beckman, Siv and Schramm, Alexander and Eggert, Angelika and Stallings, Raymond L. and Benoit, Yves and Renard, Marleen and De Paepe, Anne and Laureys, Genevieve and Påhlman, Sven and Speleman, Frank},
  issn         = {1474-7596},
  language     = {eng},
  number       = {9},
  publisher    = {BioMed Central (BMC)},
  series       = {Genome Biology},
  title        = {Human fetal neuroblast and neuroblastoma transcriptome analysis confirms neuroblast origin and highlights neuroblastoma candidate genes},
  url          = {http://dx.doi.org/10.1186/gb-2006-7-9-r84},
  doi          = {10.1186/gb-2006-7-9-r84},
  volume       = {7},
  year         = {2006},
}