MicroRNA (miRNA) are a class of small, single-stranded, non-coding RNA that regulate mRNA expression at the post-transcriptional level and play important roles in many fundamental biological processes. There is emerging evidence that miRNA are critical regulators of widespread cellular functions, such as differentiation, proliferation, and migration. At present, little is known about miRNA expression profiles related to skeletal muscle growth in aquatic organisms. This study aimed to investigate the phenotypic variation in the body growth of the Nile tilapia (Oreochromis niloticus) and to identify and quantify the differential expression levels of selected growth-related transcriptomic miRNA in the skeletal muscle of this fish. To this end, we performed next-generation sequencing to define the full miRNA transcriptome in muscle tissue from Nile tilapia and to detect differentially expressed miRNA between 2 strains of Nile tilapia. These tilapia strains exhibited significant (P < 0.05) phenotypic variation with respect to growth-related traits (body length and BW), mitochondrial DNA (mtDNA) haplotype diversity, and the differential expression of selected growth-related genes. The results obtained from the transcriptome analysis and real-time quantitative reverse transcription PCR (qRT-PCR) revealed significant differences in miRNA expression between fast-growing and control strains of tilapia. Digital gene expression (DGE) profiling was performed based on the obtained read abundance, and we identified down-regulated miRNA, including let-7j, miR-140, miR-192, miR-204, miR-218a, miR-218b, miR-301c, and miR-460, and up-regulated miRNA, including let-7b, let-7c, miR-133, miR-152, miR-15a, miR-193a, miR-30b, and miR-34, associated with body growth in tilapia. These results were further validated using real-time qRT-PCR and microarray profiling. In summary, the up- and down-regulation of miRNA involved in the GH/IGF-1 axis signaling pathway suggests that the differential expression levels of growth-related miRNA may serve as molecular markers that are predictive of specific functional and diagnostic implications. The obtained data on genetic polymorphisms in miRNA-target interactions are particularly useful for Nile tilapia breeding programs.

Myogenic progenitor cell (MPC) is responsible for postembryonic muscle growth and regeneration. Progranulin (PGRN) is a pluripotent growth factor that is correlated with neuromuscular disease, which is characterised by denervation, leading to muscle atrophy with an abnormal quantity and functional ability of MPC. However, the role of PGRN in MPC biology has yet to be elucidated. Here, we show that knockdown of zebrafish progranulin A (GrnA) resulted in a reduced number of MPC and impaired muscle growth. The decreased number of Pax7-positive MPCs could be restored by the ectopic expression of GrnA or MET. We further confirmed the requirement of GrnA in MPC activation during muscle regeneration by knockdown and transgenic line with muscle-specific overexpression of GrnA. In conclusion, we demonstrate a critical role for PGRN in the maintenance of MPC and suggest that muscle atrophy under PGRN loss may begin with MPC during postembryonic myogenesis.

In this paper, we present our new results in news video story segmentation and classification in the context of TRECVID video retrieval benchmarking event 2003. We applied and extended the Maximum Entropy statistical model to effectively fuse diverse features from multiple levels and modalities, including visual, audio, and text. We have included various features such as motion, face, music/speech types, prosody, and high-level text segmentation information. The statistical fusion model is used to automatically discover relevant features contributing to the detection of story boundaries. One novel aspect of our method is the use of a feature wrapper to address different types of features -asynchronous, discrete, continuous and delta ones. We also developed several novel features related to prosody. Using the large news video set from the TRECVID 2003 benchmark, we demonstrate satisfactory performance (F1 measure up to 0.76 ) and more importantly observe an interesting opportunity for further improvement.

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Background: Heparan sulfate proteoglycans (HSPGs) at the cell surface play an important role in cell adhesion, spreading, formation of focal adhesion complexes (FACs), and sensing mechanical stress. Syndecans are members of the HSPGs family and are highly expressed in various tumor cells. Syndecan-4 (SDC4) is a unique member of syndecans that activates protein kinase C alpha (PKCα). However, syndecan-4 in tumor cells development is not clear when receiving mechanical stress. Aims: Here we investigate the role of syndecan-4 in tumor cells spreading and its downstream kinases under mechanical stimulation. Methods: Epithelial tumor cells were seeded onto elastomeric polydimethylsiloxane (PDMS) membranes coated with poly-L-lysine (Pl), fibronectin (Fn), or anti-SDC4 antibody and stretched with a modified pressure-driven cell-stretching (PreCS) device. Results: When cells received mechanical stimulation, engagement of syndecan-4 promoted the phosphorylation of focal adhesion kinase (FAK) at tyrosine 397 and PKCα at serine 657. Furthermore, we analyzed the cell contractility marker—myosin light chain 2 (MLC2) in 30 min time courses. The levels of phosphorylated MLC2 at serine19 were augmented through ligations of syndecan-4 but not integrin binding motif (RGD) at 10 min mechanical stimulation and were suppressed at 30 min and this phenomenon was associated with the activity of PKCα. Conclusion: Our data demonstrate that syndecan-4 is essential for transmitting the mechanotransduction signals via activation of PKCα and is important for tumor cells spreading, assembly of actin cytoskeleton and cell contractility.