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Advances in translational bioinformatics facilitate revealing the landscape of complex disease mechanisms

机译:翻译生物信息学的进展有助于揭示复杂疾病机制的概况

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Advances of high-throughput technologies have rapidly produced more and more data from DNAs and RNAs to proteins, especially large volumes of genome-scale data. However, connection of the genomic information to cellular functions and biological behaviours relies on the development of effective approaches at higher systems level. In particular, advances in RNA-Seq technology has helped the studies of transcriptome, RNA expressed from the genome, while systems biology on the other hand provides more comprehensive pictures, from which genes and proteins actively interact to lead to cellular behaviours and physiological phenotypes. As biological interactions mediate many biological processes that are essential for cellular function or disease development, it is important to systematically identify genomic information including genetic mutations from GWAS (genome-wide association study), differentially expressed genes, bidirectional promoters, intrinsic disordered proteins (IDP) and protein interactions to gain deep insights into the underlying mechanisms of gene regulations and networks. Furthermore, bidirectional promoters can co-regulate many biological pathways, where the roles of bidirectional promoters can be studied systematically for identifying co-regulating genes at interactive network level. Combining information from different but related studies can ultimately help revealing the landscape of molecular mechanisms underlying complex diseases such as cancer.
机译:高通量技术的进步迅速产生了越来越多的数据,从DNA和RNA到蛋白质,尤其是大量的基因组规模的数据。然而,基因组信息与细胞功能和生物学行为的联系取决于在更高系统水平上有效方法的发展。特别是,RNA-Seq技术的进步已帮助研究了转录组,即从基因组表达的RNA,而另一方面,系统生物学则提供了更全面的图景,基因和蛋白质可通过这些图景积极相互作用,从而导致细胞行为和生理表型。由于生物学相互作用介导了许多对细胞功能或疾病发展至关重要的生物学过程,因此重要的是系统地识别基因组信息,包括来自GWAS(全基因组关联研究)的基因突变,差异表达的基因,双向启动子,内在无序蛋白(IDP) )和蛋白质相互作用,以深入了解基因调控和网络的潜在机制。此外,双向启动子可以共同调节许多生物学途径,其中可以系统地研究双向启动子的作用,以在相互作用网络水平上鉴定共调节基因。结合来自不同但相关研究的信息,最终可以帮助揭示诸如癌症等复杂疾病的分子机制。

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