Bioinformatic meta-analysis of transcriptomics of developing Drosophila muscles identifies temporal regulatory transcription factors including a Notch effector

IF 2.6 3区 生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY
Amartya Mukherjee , Fathima Ashraf , Upendra Nongthomba
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引用次数: 0

Abstract

The intricate mechanism of gene regulation coordinates the precise control of when, where, and to what extent genes are activated or repressed, directing the complex processes that govern cellular functions and development. Dysregulation of gene expression can lead to diseases such as autoimmune disorders, cancer, and neurodegeneration. Transcriptional regulation, especially involving transcription factors (TFs), plays a major role in controlling gene expression. This study focuses on identifying gene regulatory mechanisms that generate distinct gene expression patterns during Drosophila muscle development. Utilising a bioinformatics approach, we analysed the developmental time-point-specific transcriptomics resource generated by Spletter et al., which includes mRNA sequencing data at eight stages of indirect flight muscle (IFM) development. They had identified 40 distinct genome-wide clusters representing various temporal expression dynamics using 'soft' clustering. Promoter sequences of genes in these clusters were analysed to predict novel motifs that act as TF binding sites. Comparative analysis with known motifs revealed significant overlaps, indicating shared transcriptional regulation. The physiological relevance of predicted TFs was confirmed by cross-referencing with experimental ChIP-seq data. We focused on Cluster 36, characterised by a unique bimodal temporal expression profile, and identified candidate genes, Rbfox1 and zfh1, for further study. Ectopic overexpression experiments revealed that the TF Enhancer of split m8 helix-loop-helix [E(spl)m8-HLH], part of the Notch signalling pathway, acts as a transcriptional repressor for Rbfox1 and zfh1. Our findings highlight the complexity of transcriptional regulation during myogenesis, and identify key TFs that could be targeted for further research in muscle development and related disorders.
对果蝇肌肉发育过程中的转录组学进行生物信息学元分析,发现了包括缺口效应器在内的时间调控转录因子。
基因调控的机制错综复杂,它对基因何时、何地以及在何种程度上被激活或抑制进行精确控制,从而引导着支配细胞功能和发育的复杂过程。基因表达失调可导致自身免疫性疾病、癌症和神经变性等疾病。转录调控,尤其是涉及转录因子(TFs)的转录调控,在控制基因表达方面发挥着重要作用。本研究的重点是确定果蝇肌肉发育过程中产生不同基因表达模式的基因调控机制。利用生物信息学方法,我们分析了 Spletter 等人生成的发育时点特异性转录组学资源,其中包括间接飞行肌(IFM)发育八个阶段的 mRNA 测序数据。他们利用 "软 "聚类方法确定了 40 个不同的全基因组集群,代表了不同的时间表达动态。他们分析了这些簇中基因的启动子序列,以预测可作为 TF 结合位点的新图案。与已知基团的比较分析显示出明显的重叠,表明存在共同的转录调控。通过与实验性 ChIP-seq 数据进行交叉比对,确认了预测的 TFs 的生理相关性。我们重点研究了以独特的双峰时间表达谱为特征的簇36,并确定了候选基因Rbfox1和zfh1以作进一步研究。异位过表达实验显示,作为Notch信号通路一部分的TF Enhancer of split m8 helix- loop-helix[E(spl)m8-HLH]是Rbfox1和zfh1的转录抑制因子。我们的发现突显了肌肉发生过程中转录调控的复杂性,并确定了可作为肌肉发育及相关疾病进一步研究目标的关键 TFs。
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来源期刊
CiteScore
9.20
自引率
2.10%
发文量
63
审稿时长
44 days
期刊介绍: BBA Gene Regulatory Mechanisms includes reports that describe novel insights into mechanisms of transcriptional, post-transcriptional and translational gene regulation. Special emphasis is placed on papers that identify epigenetic mechanisms of gene regulation, including chromatin, modification, and remodeling. This section also encompasses mechanistic studies of regulatory proteins and protein complexes; regulatory or mechanistic aspects of RNA processing; regulation of expression by small RNAs; genomic analysis of gene expression patterns; and modeling of gene regulatory pathways. Papers describing gene promoters, enhancers, silencers or other regulatory DNA regions must incorporate significant functions studies.
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