The Nanos3-3′UTR Is Required for Germ Cell Specific NANOS3 Expression in Mouse Embryos

BACKGROUND: The regulation of gene expression via a 3' untranslated region (UTR) plays essential roles in the discrimination of the germ cell lineage from somatic cells during embryogenesis. This is fundamental to the continuation of a species. Mouse NANOS3 is an essential protein required for the germ cell maintenance and is specifically expressed in these cells. However, the regulatory mechanisms that restrict the expression of this gene in the germ cells is largely unknown at present. METHODOLOGY/PRINCIPAL FINDINGS: In our current study, we show that differences in the stability of Nanos3 mRNA between germ cells and somatic cells is brought about in a 3'UTR-dependent manner in mouse embryos. Although Nanos3 is transcribed in both cell lineages, it is efficiently translated only in the germ lineage. We also find that the translational suppression of NANOS3 in somatic cells is caused by a 3'UTR-mediated mRNA destabilizing mechanism. Surprisingly, even when under the control of the CAG promoter which induces strong ubiquitous transcription in both germ cells and somatic cells, the addition of the Nanos3-3'UTR sequence to the coding region of exogenous gene was effective in restricting protein expression in germ cells. CONCLUSIONS/SIGNIFICANCE: Our current study thus suggests that Nanos3-3'UTR has an essential role in translational control in the mouse embryo

Degradation of YRA1 Pre-mRNA in the Cytoplasm Requires Translational Repression, Multiple Modular Intronic Elements, Edc3p, and Mex67p

The yeast YRA1 pre-mRNA contains multiple intronic elements that regulate transcript decay and translatability via the Edc3p decapping activator and the Mex67p/Mtr2p export receptor

De novo secondary structure motif discovery using RNAProfile

RNA secondary structure plays critical roles in several biological processes. For example, many trans-acting noncoding RNA genes and cis-acting RNA regulatory elements present functional motifs, conserved both in structure and sequence, that can be hardly detected by primary sequence analysis alone. We describe here how conserved secondary structure motifs shared by functionally related RNA sequences can be detected through the software tool RNAProfile. RNAProfile takes as input a set of unaligned RNA sequences expected to share a common motif, and outputs the regions that are most conserved throughout the sequences, according to a similarity measure that takes into account both the sequence of the regions and the secondary structure they can form according to base-pairing and thermodynamic rules. The method is split into two parts. First, it identifies candidate regions within the input sequences, and associates with each region a locally optimal secondary structure. Then, it compares candidate regions to one another, both at sequence and structure level, and builds motifs exploring the search space through a greedy heuristic. We provide a detailed guide to the different parameters that can be employed, and usage examples showing the different software capabilities