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首页> 外文期刊>Proceedings of the National Academy of Sciences of the United States of America >Integrating regulatory motif discovery and genome-wide expression analysis.
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Integrating regulatory motif discovery and genome-wide expression analysis.

机译:整合调节基序发现和全基因组表达分析。

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摘要

We propose motif regressor for discovering sequence motifs upstream of genes that undergo expression changes in a given condition. The method combines the advantages of matrix-based motif finding and oligomer motif-expression regression analysis, resulting in high sensitivity and specificity. motif regressor is particularly effective in discovering expression-mediating motifs of medium to long width with multiple degenerate positions. When applied to Saccharomyces cerevisiae, motif regressor identified the ROX1 and YAP1 motifs from Rox1p and Yap1p overexpression experiments, respectively; predicted that Gcn4p may have increased activity in YAP1 deletion mutants; reported a group of motifs (including GCN4, PHO4, MET4, STRE, USR1, RAP1, M3A, and M3B) that may mediate the transcriptional response to amino acid starvation; and found all of the known cell-cycle regulation motifs from 18 expression microarrays over two cell cycles.
机译:我们提出了基序回归因子,用于发现在给定条件下经历表达变化的基因上游的序列基序。该方法结合了基于矩阵的基序发现和低聚物基序表达回归分析的优势,从而具有很高的灵敏度和特异性。主题回归器在发现具有多个简并位置的中等至长宽度的介导表达的主题中特别有效。当应用于酿酒酵母时,基序回归因子分别从Rox1p和Yap1p过表达实验中鉴定出ROX1和YAP1基序。预测Gcn4p可能在YAP1缺失突变体中具有增加的活性;报告了一组可能介导对氨基酸饥饿的转录反应的基序(包括GCN4,PHO4,MET4,STRE,USR1,RAP1,M3A和M3B);并在两个细胞周期中从18个表达微阵列中发现了所有已知的细胞周期调控基序。

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