前脑特异性增强子中转录因子的组合结合句法。

IF 1.8 4区 生物学 Q3 BIOLOGY
Biology Open Pub Date : 2025-02-15 Epub Date: 2025-02-19 DOI:10.1242/bio.061751
Fatima Batool, Huma Shireen, Muhammad Faizan Malik, Muhammad Abrar, Amir Ali Abbasi
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引用次数: 0

摘要

哺乳动物的组织特异性基因调控涉及多种转录因子(TFs)的协调结合。以前脑为模型,我们研究了TF占用的语法,以确定组织特异性增强子区域。我们分析了来自VISTA增强器浏览器的前脑专用增强子和一组与前脑发育和疾病相关的23个tf。我们的研究结果揭示了多种不同的组合TF结合模式,其中HES5-FOXP2-GATA3三联体在前脑特异性增强子中最为常见。该句法结构在25000个预测的人类前脑增强子的全基因组目录中的2614个增强子中检测到。值得注意的是,该目录代表了一个计算预测的数据集,不同于从VISTA增强器浏览器获得的体内验证增强器集。使用全基因组表观遗传数据进一步分析入围的2614个增强子,并评估其进化保守性和疾病相关性。我们的研究结果强调了这些2614增强子在前脑特异性基因调控中的价值,并为发现组织特异性增强子提供了一个框架,增强了对增强子功能的理解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The combinatorial binding syntax of transcription factors in forebrain-specific enhancers.

Tissue-specific gene regulation in mammals involves the coordinated binding of multiple transcription factors (TFs). Using the forebrain as a model, we investigated the syntax of TF occupancy to determine tissue-specific enhancer regions. We analyzed forebrain-exclusive enhancers from the VISTA Enhancer Browser and a curated set of 23 TFs relevant to forebrain development and disease. Our findings revealed multiple distinct patterns of combinatorial TF binding, with the HES5-FOXP2-GATA3 triad being the most frequent in forebrain-specific enhancers. This syntactic structure was detected in 2614 enhancers from a genome-wide catalog of 25,000 predicted human forebrain enhancers. Notably, this catalog represents a computationally predicted dataset, distinct from the in vivo validated set of enhancers obtained from the VISTA Enhancer Browser. The shortlisted 2614 enhancers were further analyzed using genome-wide epigenetic data and evaluated for evolutionary conservation and disease relevance. Our findings highlight the value of these 2614 enhancers in forebrain-specific gene regulation and provide a framework for discovering tissue-specific enhancers, enhancing the understanding of enhancer function.

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来源期刊
Biology Open
Biology Open BIOLOGY-
CiteScore
3.90
自引率
0.00%
发文量
162
审稿时长
8 weeks
期刊介绍: Biology Open (BiO) is an online Open Access journal that publishes peer-reviewed original research across all aspects of the biological sciences. BiO aims to provide rapid publication for scientifically sound observations and valid conclusions, without a requirement for perceived impact.
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