Dataset Information

Tdrd6 is required for spermiogenesis, chromatoid body architecture, and regulation of miRNA expression.

ABSTRACT: Chromatoid bodies (CBs) are characteristic spermatid organelles, which were suggested to function in RNA storage and small RNA processing but whose functions remain largely unknown. CB components include Mili, Miwi, and Tudor domain proteins such as Tdrd6, whose contribution to CB structure and function is elusive.We determined gametogenesis stage- and male-specific expression and localization of Tdrd6, identified a C-terminally truncated form as predominant after meiosis I, and demonstrated direct physical interaction of Tdrd6 with the CB components Mili and Miwi. Development from round into elongated spermatids is abrogated in Tdrd6(-/-) mice. Their round spermatids bear "ghost" CBs, whose architecture is greatly disrupted. Mael, Miwi, and Mvh do not localize to the Tdrd6-deficient CBs, but retrotransposons are not significantly activated. However, more than 50 miRNAs are more abundant in Tdrd6(-/-) testes, as are exemplary pre- and pri-miRNAs.We conclude that Tdrd6 is essential for spermiogenesis, for CB structure, and for proper mature and precursor miRNA expression.

SUBMITTER: Vasileva A

PROVIDER: S-EPMC2719840 | biostudies-other | 2009 Apr

REPOSITORIES: biostudies-other

ACCESS DATA

Publications

Tdrd6 is required for spermiogenesis, chromatoid body architecture, and regulation of miRNA expression.

Vasileva Ana A Tiedau Daniela D Firooznia Adriana A Müller-Reichert Thomas T Jessberger Rolf R

Current biology : CB 20090402 8

<h4>Background</h4>Chromatoid bodies (CBs) are characteristic spermatid organelles, which were suggested to function in RNA storage and small RNA processing but whose functions remain largely unknown. CB components include Mili, Miwi, and Tudor domain proteins such as Tdrd6, whose contribution to CB structure and function is elusive.<h4>Results</h4>We determined gametogenesis stage- and male-specific expression and localization of Tdrd6, identified a C-terminally truncated form as predominant af ...[more]

PMID: 19345099

Similar Datasets

Project description:BackgroundCurrent microRNA (miRNA) research in progress has engendered rapid accumulation of expression data evolving from microarray experiments. Such experiments are generally performed over different tissues belonging to a specific species of metazoan. For disease diagnosis, microarray probes are also prepared with tissues taken from similar organs of different candidates of an organism. Expression data of miRNAs are frequently mapped to co-expression networks to study the functions of miRNAs, their regulation on genes and to explore the complex regulatory network that might exist between Transcription Factors (TFs), genes and miRNAs. These directions of research relating miRNAs are still not fully explored, and therefore, construction of reliable and compatible methods for mining miRNA co-expression networks has become an emerging area. This paper introduces a novel method for mining the miRNA co-expression networks in order to obtain co-expressed miRNAs under the hypothesis that these might be regulated by common TFs.ResultsThree co-expression networks, configured from one patient-specific, one tissue-specific and a stem cell-based miRNA expression data, are studied for analyzing the proposed methodology. A novel compactness measure is introduced. The results establish the statistical significance of the sets of miRNAs evolved and the efficacy of the self-pruning phase employed by the proposed method. All these datasets yield similar network patterns and produce coherent groups of miRNAs. The existence of common TFs, regulating these groups of miRNAs, is empirically tested. The results found are very promising. A novel visual validation method is also proposed that reflects the homogeneity as well as statistical properties of the grouped miRNAs. This visual validation method provides a promising and statistically significant graphical tool for expression analysis.ConclusionA heuristic mining methodology that resembles a clustering motivation is proposed in this paper. However, there remains a basic difference between the mining method and a clustering approach. The heuristic approach can produce priority modules (PM) from an miRNA co-expression network, by employing a self-pruning phase, which are analyzed for statistical and biological significance. The mining algorithm minimizes the space/time complexity of the analysis, and also handles noise in the data. In addition, the mining method reveals promising results in the unsupervised analysis of TF-miRNA regulation.

Dataset Information

Tdrd6 is required for spermiogenesis, chromatoid body architecture, and regulation of miRNA expression.

Publications

Tdrd6 is required for spermiogenesis, chromatoid body architecture, and regulation of miRNA expression.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets