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MethylSeqLogo:DNA 甲基化智能序列标志。

MethylSeqLogo: DNA methylation smart sequence logos.

机构信息

Department of Molecular Cell and Developmental Biology, University of California, Los Angeles, USA.

Department of Computer Science and Information Engineering, National Cheng Kung University, 1 University Road, Tainan, 70101, Taiwan.

出版信息

BMC Bioinformatics. 2024 Oct 9;25(Suppl 2):326. doi: 10.1186/s12859-024-05896-2.

Abstract

BACKGROUND

Some transcription factors, MYC for example, bind sites of potentially methylated DNA. This may increase binding specificity as such sites are (1) highly under-represented in the genome, and (2) offer additional, tissue specific information in the form of hypo- or hyper-methylation. Fortunately, bisulfite sequencing data can be used to investigate this phenomenon.

METHOD

We developed MethylSeqLogo, an extension of sequence logos which includes new elements to indicate DNA methylation and under-represented dimers in each position of a set binding sites. Our method displays information from both DNA strands, and takes into account the sequence context (CpG or other) and genome region (promoter versus whole genome) appropriate to properly assess the expected background dimer frequency and level of methylation. MethylSeqLogo preserves sequence logo semantics-the relative height of nucleotides within a column represents their proportion in the binding sites, while the absolute height of each column represents information (relative entropy) and the height of all columns added together represents total information RESULTS: We present figures illustrating the utility of using MethylSeqLogo to summarize data from several CpG binding transcription factors. The logos show that unmethylated CpG binding sites are a feature of transcription factors such as MYC and ZBTB33, while some other CpG binding transcription factors, such as CEBPB, appear methylation neutral.

CONCLUSIONS

Our software enables users to explore bisulfite and ChIP sequencing data sets-and in the process obtain publication quality figures.

摘要

背景

某些转录因子,例如 MYC,可与潜在甲基化 DNA 的结合位点结合。这可能会增加结合的特异性,因为这些位点(1)在基因组中严重代表性不足,(2)以低甲基化或高甲基化的形式提供额外的组织特异性信息。幸运的是,亚硫酸氢盐测序数据可用于研究这种现象。

方法

我们开发了 MethylSeqLogo,这是序列标志的扩展,其中包含新元素来表示 DNA 甲基化和每个结合位点位置的代表性不足二聚体。我们的方法显示了两条 DNA 链的信息,并考虑了序列上下文(CpG 或其他)和基因组区域(启动子与整个基因组),以适当地评估预期的背景二聚体频率和甲基化水平。MethylSeqLogo 保留了序列标志语义-列内核苷酸的相对高度代表它们在结合位点中的比例,而每列的绝对高度代表信息(相对熵),所有列的高度总和代表总信息量。

结果

我们展示了一些图形,说明了使用 MethylSeqLogo 来总结来自几个 CpG 结合转录因子的数据集的有用性。这些标志表明,未甲基化的 CpG 结合位点是 MYC 和 ZBTB33 等转录因子的特征,而其他一些 CpG 结合转录因子,如 CEBPB,则似乎呈甲基化中性。

结论

我们的软件使用户能够探索亚硫酸氢盐和 ChIP 测序数据集,并在这个过程中获得具有出版质量的图形。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fdce/11462690/ce4a213b9079/12859_2024_5896_Fig1_HTML.jpg

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