miR-135a Suppresses Granulosa Cell Growth by Targeting Tgfbr1 and Ccnd2 during Folliculogenesis in Mice

The success of female reproduction relies on high quality oocytes, which is determined by well-organized cooperation between granulosa cells (GCs) and oocytes during folliculogenesis. GC growth plays a crucial role in maintaining follicle development. Herein, miR-135a was identified as a differentially expressed microRNA in pre-ovulatory ovarian follicles between Large White and Chinese Taihu sows detected by Solexa deep sequencing. We found that miR-135a could significantly facilitate the accumulation of cells arrested at the G1/S phase boundary and increase apoptosis. Mechanically, miR-135a suppressed transforming growth factor, beta receptor I (Tgfbr1) and cyclin D2 (Ccnd2) expression by targeting their 3′UTR in GCs. Furthermore, subcellular localization analysis and a chromatin immunoprecipitation-quantitative real-time PCR (ChIP-qPCR) assay demonstrated that the TGFBR1-SMAD3 pathway could enhance Ccnd2 promoter activity and thus upregulate Ccnd2 expression. Finally, estrogen receptor 2 (ESR2) functioned as a transcription factor by directly binding to the miR-135a promoter region and decreasing the transcriptional activity of miR-135a. Taken together, our study reveals a pro-survival mechanism of ESR2/miR-135a/Tgfbr1/Ccnd2 axis for GC growth, and also provides a novel target for the improvement of female fertility.

miRNA Transcriptome of Hypertrophic Skeletal Muscle with Overexpressed Myostatin Propeptide

MicroRNAs (miRNAs) play an imperative role in cell proliferation, differentiation, and cell metabolism through regulation of gene expression. Skeletal muscle hypertrophy that results from myostatin depression by its propeptide provides an interesting model to understand how miRNA transcriptome is involved in myostatin-based fiber hypertrophy. This study employed Solexa deep sequencing followed by Q-PCR methods to analyze miRNA transcriptome of skeletal muscle of myostatin propeptide transgenic mice in comparison with their littermate controls. A total of 461 mature known and 69 novel miRNAs were reported from this study. Fifty-seven miRNAs were expressed differentially between transgenic and littermate controls, of which most abundant miRNAs, miR-133a and 378a, were significantly differentially expressed. Expression profiling was validated on 8 known and 2 novel miRNAs. The miRNA targets prediction and pathway analysis showed that FST, SMAD3, TGFBR1, and AcvR1a genes play a vital role in skeletal muscle hypertrophy in the myostatin propeptide transgenic mice. It is predicted that miR-101 targeted to TGFBR1 and SMAD3, miR-425 to TGFBR2 and FST, and miR-199a to AcvR2a and TGF-βgenes. In conclusion, the study offers initial miRNA profiling and methodology of miRNA targets prediction for myostatin-based hypertrophy. These differentially expressed miRNAs are proposed as candidate miRNAs for skeletal muscle hypertrophy.

Comparative characterization of microRNA profiles of different genotypes ofToxoplasma gondii

SUMMARYThe present study compared the miRNA expression profiles of fiveToxoplasma gondiistrains, namely RH (Type I, ToxoDB10), TgXD (Type I, ToxoDB10), PRU (Type II, ToxoDB1), QHO (Type II, ToxoDB1) and TgC7 (ToxoDB9), by Solexa deep sequencing, bioinformatics analysis and real-time quantitative PCR. A total of 7, 15, 10, 12 and 10 miRNAs were found from RH, TgXD, PRU, QHO and TgC7 strains, respectively. Thirteen miRNAs were shared by three genotypes, with only one miRNA shared by all of the 5 strains and others shared by 2 or more strains. A large number of targets ranging from 1 to 185 were identified for commonly shared miRNAs and strain-specific miRNAs with complete or nearly complete complementarity. Functional prediction showed that these targets were mostly focused on catalytic activity (191 targets) and binding activity (183 targets). Nonetheless, the majority of targets and most of the miRNAs are related to the virulence or invasion proteins of different strains ofT. gondii, including ROP and MIC, as well as some other proteins, such as AMA1, GRA and RHO. The present study characterized comparatively the miRNA profiles of 3 different genotypes ofT. gondii, identified genotype-shared miRNAs and strain-specific miRNAs.