Digital transcriptome analysis in the aging cerebellum

Annals of the New York Academy of Sciences
Magdalena C PopescoAndrej Rotter

Abstract

Serial analysis of gene expression (SAGE) was used to identify and quantify all expressed cerebellar genes in the adult (P92) and aged (P810) C57BL/6J mouse cerebellum. A "closest-neighbor" algorithm was used to differentiate low abundance tags from possible sequencing errors in both libraries. Unique tags were categorized into four groups: (1) novel genes; (2) ESTs; (3) RIKEN, KIA, and hypothetical genes; and (4) known genes. Known genes were further subdivided into functional categories based on the gene ontology classification, using a web-based program developed in this laboratory (MmSAGEClass). Comparison of adult and aged cerebellar libraries revealed several genes that were differentially expressed, including growth hormone and prolactin, both of which were markedly decreased in the aged cerebellum. In addition, several tags showing differential expression were not identified in the Unigene database and are likely to represent novel genes. The present SAGE data on the aged cerebellar transcriptome may reveal candidate genes involved in the aging process.

Associated Datasets

Oct 26, 2004
Oct 25, 2004·Magdalena PopescoAndrej Rotter
Mar 2, 2004

References

Jan 30, 1984·Brain Research·J RogersR E Mervis
Oct 20, 1995·Science·V E VelculescuK W Kinzler
Sep 11, 1998·Neurobiology of Aging·R A MonteiroM W Silva
Jul 11, 2000·Nature Genetics·C K LeeT A Prolla
Mar 15, 2001·Brain Research. Developmental Brain Research·N Hadj-SahraouiJ Mariani
Nov 24, 2001·Mechanisms of Ageing and Development·Richard WeindruchTomas A Prolla

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Citations

Feb 3, 2007·Neurobiology of Aging·Magdalena C PopescoAndrej Rotter
Nov 23, 2006·Mechanisms of Ageing and Development·Ching-Aeng Lim, Huck-Hui Ng
Jun 22, 2017·Endocrine·Erika Alejandra Cabrera-ReyesMarco Cerbón

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