Multifunctional N6-methyladenosine (m6A) has been revealed to be an important epigenetic component in various physiological and pathological processes, but its role in female ovarian aging remains unclear. Thus, we demonstrated m6A demethylase FTO downregulation and the ensuing increased m6A in granulosa cells (GCs) of human aged ovaries, while FTO-knockdown GCs showed faster aging-related phenotypes mediated. Using the m6A-RNA-sequence technique (m6A-seq), increased m6A was found in the FOS-mRNA-3′UTR, which is suggested to be an erasing target of FTO that slows the degradation of FOS-mRNA to upregulate FOS expression in GCs, eventually resulting in GC-mediated ovarian aging. FTO acts as a senescence-retarding protein via m6A, and FOS knockdown significantly alleviates the aging of FTO-knockdown GCs. Altogether, the abovementioned results indicate that FTO in GCs retards FOS-dependent ovarian aging, which is a potential diagnostic and therapeutic target against ovarian aging and age-related reproductive diseases.

Long noncoding RNAs (lncRNAs) are a group of noncoding RNAs whose nucleotides are longer than 200 bp. Previous studies have shown that they play an important regulatory role in many developmental processes and biological pathways. However, the contributions of lncRNAs to placental development are largely unknown. Here, our study aimed to investigate the lncRNA expression signatures in placental development by performing a microarray lncRNA screen. Placental samples were obtained from pregnant C57BL/6 female mice at three key developmental time points (embryonic day E7.5, E13.5, and E19.5). Microarrays were used to analyze the differential expression of lncRNAs during placental development. In addition to the genomic imprinting region and the dynamic DNA methylation status during placental development, we screened imprinted lncRNAs whose expression was controlled by DNA methylation during placental development. We found that the imprinted lncRNA Rian may play an important role during placental development. Its homologous sequence lncRNA MEG8 (RIAN) was abnormally highly expressed in human spontaneous abortion villi. Upregulation of MEG8 expression in trophoblast cell lines decreased cell proliferation and invasion, whereas downregulation of MEG8 expression had the opposite effect. Furthermore, DNA methylation results showed that the methylation of the MEG8 promoter region was increased in spontaneous abortion villi. There was dynamic spatiotemporal expression of imprinted lncRNAs during placental development. The imprinted lncRNA MEG8 is involved in the regulation of early trophoblast cell function. Promoter methylation abnormalities can cause trophoblastic cell defects, which may be one of the factors that occurs in early unexplained spontaneous abortion.

Slag carry-over detection technology (SCDT) is of important significance for steel continuous casting production (CCP), but has the problems with manufacture cost, service life, installation, and maintenance. Aiming at the problems, this paper brings forward a novel vibration style SCDT realization method based on simulated annealing artificial neural network (SA-ANN). According to ladle pouring process, the vibration signal of steel stream is regarded as the target signal for SCDT. Then, the time point of slag carry-over can be obtained in light of the vibration amplitude difference of pure molten steel and steel slag. Based on the fluid flow similarity principles, an embedded water model experiment (WME) platform is established. The WME platform can simulate the physical process of ladle pouring, reduce the system debugging time under formidable CCP field conditions, and improve the industrial suitability of SCDT. Using an improved SA-ANN algorithm, the status of steel stream is identified to realize automatic control for ladle pouring. WME simulated test results show that the slag detection accuracy (SDA) of this method can reach more 99%. CCP industrial field experiment proves that this method requires low cost and little rebuilding for the current CCP devices, and the practical SDA can reach more 96%.Index Terms-Embedded system, shock vibration, simulated annealing artificial neural network (SA-ANN), slag carry-over detection, water model experiment (WME).

Gender dysphoria (GD) is characterized by an incongruence between the gender assigned at birth and the gender with which one identifies. The biological mechanisms of GD are unclear. While common genetic variants are associated with GD, positive findings have not always been replicated. To explore the role of rare variants in GD susceptibility within the Han Chinese population, whole-genome sequencing of 9 Han female-to-male transsexuals (FtMs) and whole-exome sequencing of 4 Han male-to-female transsexuals (MtFs) were analyzed using a pathway burden analysis in which variants are first collapsed at the gene level and then by Gene Ontology terms. Novel nonsynonymous variants in ion transport genes were significantly enriched in FtMs (P- value, 2.41E-10; Fold enrichment, 2.8) and MtFs (P- value, 1.04E-04; Fold enrichment, 2.3). Gene burden analysis comparing 13 GD cases and 100 controls implicated RYR3, with three heterozygous damaging mutations in unrelated FtMs and zero in controls (P = 0.001). Importantly, protein structure modeling of the RYR3 mutations indicated that the R1518H mutation made a large structural change in the RYR3 protein. Overall, our results provide information about the genetic basis of GD.