Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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Transcription profiling of spermatogenesis in juvenile mouse testis and analysis of four germ cell deficient mouse models, time series


ABSTRACT: Temporal study of the first wave of spermatogenesis in juvenile mouse testis and analysis of four germ cell deficient mouse models.
A series of purified testis cell-types (McCarrey libraries)constituting a focussed gene set was exploited to examine gene expression in prepubertal mouse testis. Testis RNA from C57/BL6J mice at various ages post partum was compared to a common control consisting of adult (8 week) testis RNA from the same strain(also corresponding to the last time-point).This generates a time course showing the activation of genes on the array across the first wave of spermatogenesis, which can then be correlated with the appearance of specific germ cell types, allowing assignation of unknown genes to differing cell types.

Adult testis RNA from four different genetic models of infertility (XXSxrb, mshi, Bax -/-, bs) were compared to age- and strain-matched normal control testis RNA. These models possess different cellular complements within the testis, which can be interpreted within the framework established by the first wave analysis and used to refine the assignment of genes to cell types.

INSTRUMENT(S): Scanning hardware

ORGANISM(S): Mus musculus

SUBMITTER: Peter Ellis 

PROVIDER: E-MEXP-571 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Gene expression study in the juvenile mouse testis: identification of stage-specific molecular pathways during spermatogenesis.

Clemente Emily J EJ   Furlong Robert A RA   Loveland Kate L KL   Affara Nabeel A NA  

Mammalian genome : official journal of the International Mammalian Genome Society 20060908 9


A gene expression time course in the juvenile mouse testis was established using cDNA microarrays derived from a variety of isolated testis cell types. In conjunction with the use of four germ cell-deficient mouse models, a stage and cell-type classification over nine time points has been obtained and analyzed for differential expression of genes. The expression profiles have been clustered into nine groups and subjected to detailed analysis of associated gene ontology. This has allowed the corr  ...[more]

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