Suppr超能文献

靶向长读测序解码创始 RAS 基因家族成员的转录图谱。

Targeted Long-Read Sequencing Decodes the Transcriptional Atlas of the Founding RAS Gene Family Members.

机构信息

Department of Biochemistry and Molecular Biology, Faculty of Biology, National and Kapodistrian University of Athens, 15701 Athens, Greece.

出版信息

Int J Mol Sci. 2021 Dec 10;22(24):13298. doi: 10.3390/ijms222413298.

Abstract

The complicity of human RAS proteins in cancer is a well-documented fact, both due to the mutational hyperactivation of these GTPases and the overexpression of the genes encoding these proteins. Thus, it can be easily assumed that the study of genes at the transcriptional and post-transcriptional level is of the utmost importance. Although previous research has shed some light on the basic mechanisms by which GTPases are involved in tumorigenesis, limited information is known regarding the transcriptional profile of the genes encoding these proteins. The present study highlights for the first time the wide spectrum of the mRNAs generated by the three most significant genes (, and ), providing an in-depth analysis of the splicing events and exon/intron boundaries. The implementation of a versatile, targeted nanopore-sequencing approach led to the identification of 39 novel mRNA transcript variants and to the elucidation of their expression profiles in a broad panel of human cell lines. Although the present work unveiled multiple hidden aspects of the gene family, further study is required to unravel the biological function of all the novel alternative transcript variants, as well as the putative protein isoforms.

摘要

人类 RAS 蛋白在癌症中的协同作用是一个有据可查的事实,这既是由于这些 GTPases 的突变激活,也是由于编码这些蛋白质的基因的过表达。因此,可以轻易地假设,对基因进行转录和转录后水平的研究是至关重要的。尽管先前的研究已经揭示了 GTPases 参与肿瘤发生的基本机制,但对于编码这些蛋白质的基因的转录谱知之甚少。本研究首次强调了三个最重要的基因(、和)所产生的 mRNA 的广泛谱,对剪接事件和外显子/内含子边界进行了深入分析。实施一种通用的、靶向的纳米孔测序方法,鉴定了 39 种新的 mRNA 转录变体,并阐明了它们在广泛的人类细胞系中的表达谱。尽管本工作揭示了 基因家族的多个隐藏方面,但仍需要进一步研究来揭示所有新的替代转录变体以及可能的蛋白质异构体的生物学功能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b946/8709048/11a9519d4d38/ijms-22-13298-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验