Effects of flowing water stimulation on hormone regulation during the maturation process of Conger myriaster ovaries.

Conger eel (Conger myriaster) is an economically important species in China. Due to the complex life history of the conger eel, achieving artificial reproduction has remained elusive. This study aimed to explore the effect of water stimulation on hormonal regulation during the artificial reproduction of conger eel. The experiment was divided into four groups: A1 (no hormone injection, still water), A2 (no hormone injection, flowing water), B1 (hormone injection, still water), and B2 (hormone injection, flowing water). The flowing water group maintained a flow velocity of 0.4 ± 0.05 m/s for 12 h daily throughout the 60-day period. Steroid hormone levels in the serum and ovaries of conger eels were analyzed using UPLC-MS/MS and ELISA on the 30th and 60th days of the experiment. The relative expression levels of follicle-stimulating hormone (FSHß) and luteinizing hormone (LHß) in the pituitary were determined by quantitative PCR. The results showed a significantly lower gonadosomatic index (GSI) in B2 compared to B1 (p < 0.05) on the 30th day. FSH was found to act only in the early stages of ovarian development, with water stimulation significantly enhancing FSH synthesis (p < 0.05), while FSHß gene was not expressed after hormone injection. Conversely, LH was highly expressed in late ovarian development, with flowing water stimulation significantly promoting LH synthesis (p < 0.05). Serum cortisol (COR) levels were significantly higher in the flowing water group than in the still water group (p < 0.05). Furthermore, estradiol (E2) content of B2 was significantly lower than that of B1 on the 30th and 60th day. Overall, flowing water stimulation enhanced the synthesis of FSH in early ovarian development and LH in late ovarian development, while reducing E2 accumulation in the ovaries. In this study, the effect of flowing water stimulation on hormone regulation during the artificial reproduction of conger eel was initially investigated to provide a theoretical basis for optimizing artificial reproduction techniques.

NAT10-mediated N4-acetylcytidine mRNA modification regulates self-renewal in human embryonic stem cells.

NAT10-catalyzed N4-acetylcytidine (ac4C) has emerged as a vital post-transcriptional modulator on the coding transcriptome by promoting mRNA stability. However, its role in mammalian development remains unclear. Here, we found that NAT10 expression positively correlates with pluripotency in vivo and in vitro. High throughput ac4C-targeted RNA immunoprecipitation sequencing (ac4C-RIP-seq), NaCNBH3-based chemical ac4C sequencing (ac4C-seq) and liquid chromatography-tandem mass spectrometry (LC-MS/MS) assays revealed noticeable ac4C modifications in transcriptome of hESCs, among which transcripts encoding core pluripotency transcription factors are favorable targets of ac4C modification. Further validation assays demonstrate that genetic inactivation of NAT10, the ac4C writer enzyme, led to ac4C level decrease on target genes, promoted the core pluripotency regulator OCT4 (POU5F1) transcript decay, and finally impaired self-renewal and promoted early differentiation in hESCs. Together, our work presented here elucidates a previously unrecognized interconnectivity between the core pluripotent transcriptional network for the maintenance of human ESC self-renewal and NAT10-catalyzed ac4C RNA epigenetic modification.

Integrative Transcriptomic Analysis Identify Potential m6A Pathway-Related Drugs That Inhibit Cancer Cell Proliferation.

Recent studies have found that m6A modification of mRNA may play important roles in the progression of various types of cancers. However, current knowledge about drugs that can interfere with m6A methylation and inhibit cancer cell proliferation is still far from comprehensive. To this end, we performed integrative analysis on transcriptome data with perturbation of m6A writers or erasers and identified consensus m6A-related differentially expressed genes (DEGs). Comparative analysis of these m6A-related DEGs with Connectivity Map signatures highlight potential m6A-targeted drugs. Among them, we experimentally verified the inhibitory effects of AZ628 on the proliferation of human breast cancer cell lines and R428 on the proliferation of human melanoma cell lines. Both drugs can significantly reduce the cellular level of m6A modification. These results suggest an m6A-related new target pathway by AZ628 and R428 and provide new candidate m6A-related drugs that inhibit cancer cell proliferation.

m6Adecom: Analysis of m6A profile matrix based on graph regularized non-negative matrix factorization.

Epitranscriptomic m6A methylation is shown to mediate extensive regulations under the context of various RNA binding protein (RBP) readers. With m6A methylation data has reached a sizable scale, the functional context-aware analysis of m6A profiles is becoming more feasible and demanded. In this study, we employed graph regularized non-negative matrix factorization (GNMF) for m6A profile analysis and comparison, where the RBP binding preference of m6A sites were incorporated as the functional context-based graph constraint term. Compared to the baseline non-negative matrix factorization (NMF) method, this GNMF-based method could better capture the distinctions in multiple functional characteristics between different group of m6A sites, including but not limited to the associated biological pathways and disease genes. We further established m6Adecom, an online tool that can be used for correlation and enrichment analysis of m6A profiles using the matrix decomposition result from GNMF, and gene set enrichment analysis based on the high-score m6A sites. m6Adecom is freely accessible at http://www.rnanut.net/m6adecom.

Genotypic Frequencies at Equilibrium for Polysomic Inheritance Under Double-Reduction.

Polyploids are organisms whose genomes consist of more than two complete sets of chromosomes. Both autopolyploids and allopolyploids may display polysomic inheritance. A peculiarity of polysomic inheritance is multivalent formation during meiosis resulting in double-reduction, which occurs when sister chromatid fragments segregate into the same gamete. Double-reduction can result in gametes carrying identical-by-descent alleles and slightly increasing homozygosity. This will cause the genotypic frequencies to deviate from expected values and will thus bias the results of standard population genetic analytical methods used in molecular ecology and selective breeding. In this study, we extend existing double-reduction models to account for any even level of ploidy, and derive the symbolic expressions for genotypic frequencies via two methods. Inbreeding coefficients and heterozygosity under double-reduction and inbreeding are also calculated. Numerical solutions obtained by computer simulations are compared with analytical solutions predicted by the model to validate the model.