顺式调控元件6q25.1特征的生物信息学评价

IF 2.3 Q3 BIOCHEMICAL RESEARCH METHODS Bioinformatics and Biology Insights Pub Date : 2023-01-01 DOI:10.1177/11779322231167971
N Sreekar, Smeeta Shrestha
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引用次数: 0

摘要

真核生物的非编码调控特征对细胞的可塑性起着重要的作用,而细胞的可塑性一旦发生异常就会导致细胞恶性肿瘤。增强剂是顺式调控元件,有助于雌激素受体(ER)阳性乳腺癌对内分泌治疗产生耐药性,导致临床结果不佳。雌激素受体对雌激素受体阳性乳腺癌的治疗靶点至关重要。在这里,我们回顾并报告了内质网存在的不同调控特征,目的是描述可能导致耐药性发展的潜在机制。使用UCSC基因组浏览器、数据挖掘和生物信息学工具来审查ER基因的增强子、转录因子(tf)、组蛋白标记、长链非编码rna (lncRNAs)和驻留在非编码区域的变体。我们报告了7个增强子,其中3个以细胞系特异性的方式富含tf结合位点和组蛋白标记。此外,一些增强子含有雌激素抗性变体和lncRNA位点。我们的综述推测假设的模型表明,如果这些调控景观和组装被改变,基因调控和表达的潜在畸变。这一综述为设计包括非编码元件在内的综合体外研究er阳性乳腺癌内分泌耐药的发展提供了一个有趣的视角。
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Bioinformatic Evaluation of Features on Cis-regulatory Elements at 6q25.1.

Eukaryotic non-coding regulatory features contribute significantly to cellular plasticity which on aberration leads to cellular malignancy. Enhancers are cis-regulatory elements that contribute to the development of resistance to endocrine therapy in estrogen receptor (ER)-positive breast cancer leading to poor clinical outcome. ER is vital for therapeutic targets in ER-positive breast cancer. Here, we review and report the different regulatory features present on ER with the objective to delineate potential mechanisms which may contribute to development of resistance. The UCSC Genome Browser, data mining, and bioinformatics tools were used to review enhancers, transcription factors (TFs), histone marks, long non-coding RNAs (lncRNAs), and variants residing in the non-coding region of the ER gene. We report 7 enhancers, 3 of which were rich in TF-binding sites and histone marks in a cell line-specific manner. Furthermore, some enhancers contain estrogen resistance variants and sites for lncRNA. Our review speculates putative models suggesting potential aberrations in gene regulation and expression if these regulatory landscapes and assemblies are altered. This review gives an interesting perspective in designing integrated in vitro studies including non-coding elements to study development of endocrine resistance in ER-positive breast cancer.

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来源期刊
Bioinformatics and Biology Insights
Bioinformatics and Biology Insights BIOCHEMICAL RESEARCH METHODS-
CiteScore
6.80
自引率
1.70%
发文量
36
审稿时长
8 weeks
期刊介绍: Bioinformatics and Biology Insights is an open access, peer-reviewed journal that considers articles on bioinformatics methods and their applications which must pertain to biological insights. All papers should be easily amenable to biologists and as such help bridge the gap between theories and applications.
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