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Cancer is a leading cause of death worldwide, claiming millions of lives each year. Cancer biology is an essential research field to understand how cancer develops, evolves, and responds to therapy. By taking advantage of a series of "omics" technologies (e.g., genomics, transcriptomics, and epigenomics), computational methods in bioinformatics and machine learning can help scientists and researchers to decipher the complexity of cancer heterogeneity, tumorigenesis, and anticancer drug discovery. Particularly, bioinformatics enables the systematic interrogation and analysis of cancer from various perspectives, including genetics, epigenetics, signaling networks, cellular behavior, clinical manifestation, and epidemiology. Moreover, thanks to the influx of next-generation sequencing (NGS) data in the postgenomic era and multiple landmark cancer-focused projects, such as The Cancer Genome Atlas (TCGA) and Clinical Proteomic Tumor Analysis Consortium (CPTAC), machine learning has a uniquely advantageous role in boosting data-driven cancer research and unraveling novel methods for the prognosis, prediction, and treatment of cancer.
Emerging evidence has been revealed that high fat diet (HFD) correlate with insulin resistance (IR) which could be induced by endoplasmic reticulum stress (ERS). Recently, obesity or HFD induced nonalcoholic fatty liver disease (NAFLD) could promote alteration of iron metabolism. Disorder of iron metabolism have been linked to unnormal metabolism of glucose and lipid. Herein, we investigated the effect of impaired iron homeostasis on hepatic IR, focusing on ferritinophagy. Male C57/6J mice were administered with HFD (60% energy from fat) or LFD (10% energy from fat) for 10 weeksuff08n=10, and Palmitic acid (PA)-insulin treated HepG2 cells were also established. Hepatic IR as evidenced by increased hepatic steatosis and decreased of p-AKT (48%, p
IB Chinese A (SL): First language A: literature course, which introduces students to the analysis of literary texts. It is the course through which the IB’s policy of mother-tongue entitlement is delivered. The course is organized into three areas of exploration and seven central concepts, and focuses on the study of literary works. Together, the three areas of exploration of the course add up to a comprehensive exploration of literature from a variety of cultures, literary forms and periods. Students learn to appreciate the artistry of literature, and develop the ability to reflect critically on their reading, presenting literary analysis powerfully through both oral and written communica...
Polycystic ovarian syndrome (PCOS) is a multifaceted reproductive, metabolic syndrome, and its symptoms involve interactions between hormones, genes, and environmental stressors. The characteristic symptoms of PCOS include menstrual abnormalities such as oligomenorrhea or amenorrhea. The general symptoms of PCOS are anovulation or oligo-ovulation. Herbal Medicine Applications for Polycystic Ovarian Syndrome provides comprehensive information on different aspects of PCOS, including its pathogenesis, symptoms, therapies, and management, particularly through herbal remedies. With 13 chapters related to different aspects of PCOS, this book provides enormous knowledge about the pathogenesis and r...
This book puts CGTN (formerly CCTV-News) and the BBC’s international television news head-to-head, interrogating competing ‘truths’ in the exacting business of news reporting. Written by a media scholar and former long-serving BBC News journalist, Seeking Truth in International TV News asks if China’s English-language television news programmes are little more than state propaganda, and if the BBC can be viewed as a universal news standard to which all other broadcasters should aspire. Over 8 years of Xi Jinping’s rule, it investigates how the international TV news channels of CGTN and the BBC reported on Chinese politics, protests in Hong Kong, disasters, China in Africa, and insu...