Gene expression profiling of mouse postnatal cerebellar development

Matoba, Ryo; Saitō, Sakae; Ueno, Noriko; Maruyama, Chiyuri; Matsubara, Kazuo; Kato, Kikuya

doi:10.1152/physiolgenomics.2000.4.2.155

Cited by 24 publications

(32 citation statements)

References 35 publications

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“…Finally, at 6 weeks, when differentiation of cerebellar neurons and glia is complete, elevated expression of synaptic proteins (e.g., soluble NSF (N-ethylmaleimide-sensitive factor) attachment protein SNAP25), neurotransmitter receptors (gamma aminobutyric acid receptors, GABA-Rs), and components of myelin (myelin basic protein and myelin proteolipid protein) are detected. In a subsequent study, Matoba et al (2000c) expanded their analysis to include 1800 genes expressed over six different time points in cerebellar development: 2, 4, 8, and 12 days and 3 and 6 weeks. Their results again were clustered into 1) genes elevated early in development (e.g., 2, 4, and 8 days); 2) genes elevated later in development (e.g., 12 days, 3 weeks, 6 weeks); and 3) genes with complex expression patterns.…”

Section: Gene Expression Analysis Of the Developing Cerebellummentioning

confidence: 99%

Analysis of Gene Expression in the Normal and Malignant Cerebellum

Wechsler‐Reya¹

2003

Recent Progress in Hormone Research

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The developing nervous system consists of a small number of multipotent precursors that undergo extensive proliferation to generate the neurons and glia that make up the adult brain. Elucidating the mechanisms that control the growth and differentiation of these cells is important not only for understanding normal neural development but also for understanding the etiology of central nervous system tumors. A particularly striking example of this is in the cerebellum. Recent studies have suggested that the Sonic hedgehog-Patched signaling pathway plays a critical role in regulating the proliferation of cerebellar granule cell precursors and is also a major target of mutation in the cerebellar tumor medulloblastoma. In light of these observations, identification of additional genes that control cerebellar growth and differentiation is likely to provide important insight into the basis of cerebellar tumors. Similarly, analysis of gene expression in medulloblastoma will no doubt shed light on previously unknown signaling pathways that regulate normal cerebellar development. The advent of high-throughput gene expression analysis techniques -such as adapter-tagged competitive polymerase chain reaction (ATAC-PCR), serial analysis of gene expression (SAGE), and DNA microarrays -makes identification of such genes faster and easier than ever before. This review summarizes recent studies of gene expression in the cerebellum and discusses the value of such approaches for understanding development and tumorigenesis in this tissue.

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Section: Gene Expression Analysis Of the Developing Cerebellummentioning

confidence: 99%

Analysis of Gene Expression in the Normal and Malignant Cerebellum

Wechsler‐Reya¹

2003

Recent Progress in Hormone Research

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“…We measured the expression levels of 1,937 genes during the postnatal development of the dentate gyrus by adaptor-tagged competitive PCR (ATAC-PCR) (8,11). The resulting expression profile was compared with that obtained from cerebellar tissue undergoing the same postnatal developmental stages (12). Contrary to expectation, the gene expression profile of the dentate gyrus was quite different from that of the cerebellum and is poorly correlated with function.…”

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“…genesis and protein synthesis are highly expressed in earlier stages of development, whereas those involved in brain functions are elevated in later development or in the adult (12). The gene expression patterns correlate strongly with the physiological state of each stage.…”

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“…The experimental procedures and data processing of ATAC-PCR were essentially the same as those used for previous experiments with mouse cerebellum (11,12). RNA preparations from each sample were converted into cDNA, digested by a restriction enzyme, and then ligated to an adaptor.…”

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“…Thus accurate quantitation of the three dentate gyrus samples can be achieved. Sequences of oligonucleotides used for adaptors and primers are described previously (12).…”

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Comparison of gene expression profiling during postnatal development of mouse dentate gyrus and cerebellum

Saitō

Matoba

Ueno

et al. 2002

Physiological Genomics

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Both the dentate gyrus of the hippocampus and the cerebellar cortex consist mainly of granule cells and develop postnatally. The granule cells in both tissues are presumed to be similar. Changes in gene expression were analyzed during the postnatal development of the dentate gyrus. Altogether, expression patterns of 1,937 genes were determined by adaptor-tagged competitive PCR. More than 90% of the genes belong to groups characterized by elevated expression either at earlier or later stages of development. A majority of the genes expressed showed marked changes during the developmental process, but there was little correlation between gene function and expression, unlike that observed during mouse postnatal cerebellar development. Despite anatomical and physiological similarities between these two processes, the gene expression profiles are completely different.

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Gene expression profiling in developing human hippocampus

Zhang

Mei

Zhang

et al. 2002

J of Neuroscience Research

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The gene expression profile of developing human hippocampus is of particular interest and importance to neurobiologists devoted to development of the human brain and related diseases. To gain further molecular insight into the developmental and functional characteristics, we analyzed the expression profile of active genes in developing human hippocampus. Expressed sequence tags (ESTs) were selected by sequencing randomly selected clones from an original 3'-directed cDNA library of 150-day human fetal hippocampus, and a digital expression profile of 946 known genes that could be divided into 16 categories was generated. We also used for comparison 14 other expression profiles of related human neural cells/tissues, including human adult hippocampus. To yield more confidence regarding differential expression, a method was applied to attach normalized expression data to genes with a low false-positive rate (<0.05). Finally, hierarchical cluster analysis was used to exhibit related gene expression patterns. Our results are in accordance with anatomical and physiological observations made during the developmental process of the human hippocampus. Furthermore, some novel findings appeared to be unique to our results. The abundant expression of genes for cell surface components and disease-related genes drew our attention. Twenty-four genes are significantly different from adult, and 13 genes might be developing hippocampus-specific candidate genes, including wnt2b and some Alzheimer's disease-related genes. Our results could provide useful information on the ontogeny, development, and function of cells in the human hippocampus at the molecular level and underscore the utility of large-scale, parallel gene expression analyses in the study of complex biological phenomena.

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Gene expression profiling of mouse postnatal cerebellar development

Cited by 24 publications

References 35 publications

Analysis of Gene Expression in the Normal and Malignant Cerebellum

Analysis of Gene Expression in the Normal and Malignant Cerebellum

Comparison of gene expression profiling during postnatal development of mouse dentate gyrus and cerebellum

Gene expression profiling in developing human hippocampus

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