Background In China, although buffaloes are abundant, beef is mainly obtained from cattle, and this preference is mainly attributed to the low intramuscular fat (IMF) content of buffalo. Genetic factors are an important driver that affects IMF deposition. Results To reveal the intrinsic factors responsible for the low IMF content of buffalo, mRNA expression patterns in muscle and adipose tissue between buffalo and cattle were characterized by RNA sequencing analysis. The IMF content in Nanyang cattle was higher than that in Xinyang buffalo. A total of 1566 mRNAs expressed in adipose tissue showed differential expression between the longissimus dorsi muscles of buffalo and cattle. Functional annotation suggested a difference in the glycolysis/gluconeogenesis pathway between the two species. The results of RT-qPCR analysis and gain-of-function experiments confirmed the positive association between the IMF content and phosphoenolpyruvate carboxykinase 1 (PCK1) expression in buffalo. In both mouse C2C12 cells and cultured bovine myocytes, the activity of the PCK1 promoter in buffalo is lower than that in cattle. However, in mouse 3T3-L1 adipocytes and cultured bovine adipocytes, the activity of PCK1 in buffalo promoter is higher than that in cattle. Conclusions These results indicate the important role of PCK1 in buffalo IMF deposition and illustrate the differences between buffalo and cattle promoter activity that drive PCK1 expression. This research helps to establish a foundation for further studies investigating IMF deposition in buffalo.

Fat deposition is one of the most important traits that are mediated by a set of complex regulatory factors in meat animals. Several researches have revealed the significant role of long non-coding RNAs (lncRNAs) in fat deposition while the precise regulatory mechanism is still largely elusive. In this study, we investigated the lncRNA profiles of adipose and muscle tissues in buffalo by using the Illumina HiSeq 3000 platform. In total, 43,809 lncRNAs were finally identified based on the computer algorithm. A comparison analysis revealed 241 lncRNAs that are differentially expressed (DE) in adipose and muscle tissues. We focused on lncSAMM50, a DE lncRNA that has a high expression in adipose tissue. Sequence alignment showed that lncSAMM50 is transcribed from the antisense strand of the upstream region of sorting and assembly machinery component 50 homolog (SAMM50), a gene involved in the function of mitochondrion and is subsequently demonstrated to inhibit the adipogenic differentiation of 3T3-L1 adipocyte cells in this study. lncSAMM50 is highly expressed in adipose tissue and upregulated in the mature adipocytes and mainly exists in the nucleus. Gain-of-function experiments demonstrated that lncSAMM50 promotes the adipogenic differentiation by upregulating adipogenic markers but with no effect on its host gene SAMM50 in buffalo adipocytes. These results indicate that lncSAMM50 enhances fat deposition in buffalo and provide a new factor for the regulatory network of adipogenesis.

age at diagnosis, sex, grade, and surgical extent. 3-year and 5-year progression free survival (PFS) were 90.0% and 77.1% in PORT group while respective PFS were 69.6% and 59.1% in surgery alone group (pZ0.025). Conclusion: In spite of higher proportion of grade III patients in PORT group, PORT reduced LF, especially IFLF compared to surgery alone for patients with grade II or III meningioma. Current field for PORT seems reasonable considering that IFLF was the dominant pattern of LF in meningioma patients treated by surgery alone.

Low-grade gliomas (LGG) are the slowest growing type of brain cancer that often affects young adults. Of all LGG cases, older patients were associated with the poor prognosis compared to younger patients. However, the molecular mechanism underlying this association remains unclear. Here, we compared genes expression profiles between younger (age≤50) and older (age > 50) patients from The Cancer Genome Atlas (TCGA) and demonstrate the age-related gene expressions. Pathway and gene set enrichment analysis reveal that differentially expressed genes (DEGs) between tumors of older and younger patients have been involved in cancer-related biological procedures, such as, transcriptional misregulation in cancer, nucleotide synthesis, mTOR, and DNA damage repair signaling. We also demonstrated that older patients have higher expression of Mitosis Kinase Score (MKS) and Tumor Inflammation Signature (TIS) which reflects high cell proliferation and high immune cell activity; respectively. The comprehensive characterization of gene-expression profiles in younger versus older LGG may explain the age-related prognosis and facilitate the development of potential therapeutic biomarkers for LGG.