Research into the evolution and pathogenesis of Vibrio cholerae has benefited greatly from the generation of high-throughput sequencing data to drive molecular analyses. The steady accumulation of these data sets now provides a unique opportunity for in silico hypothesis generation via coexpression analysis. Here, we leverage all published V. cholerae RNA sequencing data, in combination with select data from other platforms, to generate a gene coexpression network that validates known gene interactions and identifies novel genetic partners across the entire V. cholerae genome. This network provides direct insights into genes influencing pathogenicity, metabolism, and transcriptional regulation, further clarifies results from previous sequencing experiments in V. cholerae (e.g., transposon insertion sequencing [Tn-seq] and chromatin immunoprecipitation sequencing [ChIP-seq]), and expands upon microarray-based findings in related Gram-negative bacteria.

中文翻译：

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霍乱弧菌的全面共表达网络分析。

霍乱弧菌的进化和发病机理的研究极大地受益于生成高通量测序数据以驱动分子分析。这些数据集的稳定积累现在为通过共表达分析生成计算机模拟假设提供了独特的机会。在这里，我们利用所有已发表的霍乱弧菌RNA测序数据，再结合其他平台的精选数据，生成一个基因共表达网络，该网络可验证已知的基因相互作用并在整个霍乱弧菌中鉴定出新的遗传伴侣。基因组。该网络提供了对影响致病性，代谢和转录调控的基因的直接见解，进一步阐明了霍乱弧菌先前测序实验的结果（例如，转座子插入测序[Tn-seq]和染色质免疫沉淀测序[ChIP-seq]），以及扩展了相关革兰氏阴性细菌中基于微阵列的发现。