TEITbase: a database for transposable element (TE)-initiated transcripts in human cancers.

IF 2.7 4区 生物学 Q1 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Yun Zhang, Jianqi She, Xueyan Hu, Yueqi Jin, Changyu Tao, Minghao Du, Ence Yang
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Abstract

Transposable elements (TEs) are abundant and play a crucial regulatory role in the human genome. Functioning as alternative promoters, TEs can be reactivated to produce TE-initiated transcripts. In cancer, TE-initiated transcription may upregulate oncogene expression and generate novel tumour-specific antigens, which could serve as potential targets for immunotherapy. However, there remains a lack of comprehensive databases that systematically investigate TE-initiated transcription in cancer. To address this gap, we developed a deep learning-based method and identified 38 995 TE-initiated transcripts across 33 cancer types from The Cancer Genome Atlas. Among these, 6203 were tumour-specifically expressed and strongly associated with the tumourigenesis. Using these annotations, we created TEITbase (http://teitbase.medbioinfo.org/), a user-friendly database that provides researchers with tools to conduct various downstream analyses and investigations for TE-initiated transcripts, including 546 novel onco-exaptation events. The establishment of TEITbase provides new insights into transcriptional reprogramming in cancers and enables further investigation into the potential roles of TE-initiated transcripts in cancer diagnostics and therapeutic strategies.

TEITbase:人类癌症中转座因子(TE)启动转录本的数据库。
转座因子(te)丰富,在人类基因组中起着重要的调控作用。作为替代启动子,te可以被重新激活以产生te启动的转录本。在癌症中,te启动的转录可能上调癌基因表达并产生新的肿瘤特异性抗原,这可能作为免疫治疗的潜在靶点。然而,目前仍然缺乏全面的数据库来系统地研究te在癌症中的启动转录。为了解决这一差距,我们开发了一种基于深度学习的方法,并从癌症基因组图谱中确定了33种癌症类型的38995个te启动转录本。其中6203个是肿瘤特异性表达的,与肿瘤发生密切相关。使用这些注释,我们创建了TEITbase (http://teitbase.medbioinfo.org/),这是一个用户友好的数据库,为研究人员提供了对te启动的转录本进行各种下游分析和调查的工具,包括546个新的onco- exapation事件。TEITbase的建立为癌症转录重编程提供了新的见解,并使进一步研究te启动转录物在癌症诊断和治疗策略中的潜在作用成为可能。
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来源期刊
Database: The Journal of Biological Databases and Curation
Database: The Journal of Biological Databases and Curation MATHEMATICAL & COMPUTATIONAL BIOLOGY-
CiteScore
9.00
自引率
3.40%
发文量
100
审稿时长
>12 weeks
期刊介绍: Huge volumes of primary data are archived in numerous open-access databases, and with new generation technologies becoming more common in laboratories, large datasets will become even more prevalent. The archiving, curation, analysis and interpretation of all of these data are a challenge. Database development and biocuration are at the forefront of the endeavor to make sense of this mounting deluge of data. Database: The Journal of Biological Databases and Curation provides an open access platform for the presentation of novel ideas in database research and biocuration, and aims to help strengthen the bridge between database developers, curators, and users.
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