Explore the vast range of titles available.

The Drosophila melanogaster gene Dscam ( Down syndrome cell adhesion molecule ) can generate thousands of different ectodomains via mutual exclusive splicing of three large exon clusters. The isoform diversity plays a profound role in both neuronal wiring and pathogen recognition. However, the isoform expression pattern at the global level remained unexplored. Here, we developed a novel method that allows for direct quantification of the alternatively spliced exon combinations from over hundreds of millions of Dscam transcripts in one sequencing run. With unprecedented sequencing depth, we detected a total of 18 496 isoforms, out of 19 008 theoretically possible combinations. Importantly, we demonstrated that alternative splicing between different clusters is independent. Moreover, the isoforms were expressed across a broad dynamic range, with significant bias in cell/tissue and developmental stage‐specific patterns. Hitherto underappreciated, such bias can dramatically reduce the ability of neurons to display unique surface receptor codes. Therefore, the seemingly excessive diversity encoded in the Dscam locus might nevertheless be essential for a robust self and non‐self discrimination in neurons. Alternative splicing of the Down syndrome cell adhesion molecule, Dscam, can generate thousands of different isoforms. A novel method is developed that quantitatively profiles Dscam isoform expression revealing dynamic and differential splicing patterns during development.

Background Prion diseases are neurodegenerative diseases that are characterized by the conversion of the cellular prion protein (PrP c ) into a pathogenic isoform (PrP Sc ). It is known that neurodegeneration is often accompanied by the disturbance of cholesterol homeostasis. We have recently identified a set of genes that were upregulated after prion infection of N2a neuronal cells (Bach et al., 2009). Results We have now used ultra-deep sequencing technology to profile all microRNAs (miRNA) that could be associated with this effect in these N2a cells. Using stringent filters and normalization strategies we identified a small set of miRNAs that were up- or downregulated upon prion infection. Using bioinformatic tools we predicted whether the downregulated miRNAs could target mRNAs that have been previously identified to enhance cholesterol synthesis in these cells. Application of this joint profiling approach revealed that nine miRNAs potentially target cholesterol-related genes. Four of those miRNAs are localized in a miRNA-dense cluster on the mouse X-chromosome. Among these, twofold downregulation of mmu-miR-351 and mmu-miR-542-5p was confirmed by qRT-PCR. The same miRNAs were predicted as putative regulators of the sterol regulatory element-binding factor 2 (Srebf2), the low-density lipoprotein receptor (Ldlr) or the IPP isomerase. Conclusions The results demonstrate that joined profiling by ultra-deep sequencing is highly valuable to identify candidate miRNAs involved in prion-induced dysregulation of cholesterol homeostasis.