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Bioinformatics of Non-Coding RNAs with Applications to Biomedicine: Recent Advances and Open Challenges
The recent discovery of small and long non-coding RNAs (ncRNAs) has represented a major breakthrough in the life sciences. These molecules add a new layer of complexity to biological processes and pathways by revealing a sophisticated and dynamic interconnected system whose structure is just beginning to be uncovered. Genetic and epigenetic aberrations affecting ncRNA gene sequences and their expression have been linked to a variety of pathological conditions, including cancer, cardiovascular and neurological diseases. Latest advances in the development of high throughput analysis techniques may help to shed light on the complex regulatory mechanisms in which ncRNA molecules are involved. Bi...
Epitranscriptomics: The Novel RNA Frontier
Following the formulation of the central dogma of molecular biology and the later discovery of classes of non-coding RNAs, the primary focus of Genetics was essentially on variation of DNA aiming at elucidating biological pathways perturbed in diseases. Recently, extensive attention has shifted towards the study of posttranscriptional RNA modifications occurring in both protein-coding as well as non-coding RNAs, revealing a novel and finer layer of complexity in gene regulation. This, in turn, has led to the birth of the novel field of ‘Epitranscriptomics’. The recent increase of applications of high-throughput sequencing technology (HTS) has allowed the unprecedented opportunity to iden...
New Progress in Cancer Biomarkers and Therapy
As we know, cancer is an important disease threatening human health. According to the latest statistics in “Global Cancer Statistics 2020”, cancer is expected to overtake cardiovascular disease as the leading cause of premature death in most countries this century. That sounds pretty terrible, but it is believed that this situation should be better along with the advances in tumor biology. There is no doubt that biomarkers have very significant clinical implications, which can be used for early diagnosis, monitoring progress, and predicting the prognosis of cancer.
