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通过全基因组体外 runoff 转录/RNA 测序(ROSE)对细菌转录调控网络进行表征。

Characterization of Bacterial Transcriptional Regulatory Networks in through Genome-Wide In Vitro Run-Off Transcription/RNA-seq (ROSE).

作者信息

Schmidt Pascal, Brandt David, Busche Tobias, Kalinowski Jörn

机构信息

Microbial Genomics and Biotechnology, Center for Biotechnology, Bielefeld University, Universitätsstraße 27, 33615 Bielefeld, Germany.

出版信息

Microorganisms. 2023 May 25;11(6):1388. doi: 10.3390/microorganisms11061388.

DOI:10.3390/microorganisms11061388
PMID:37374890
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10301672/
Abstract

The global characterization of transcriptional regulatory networks almost exclusively uses in vivo conditions, thereby providing a snapshot on multiple regulatory interactions at the same time. To complement these approaches, we developed and applied a method for characterizing bacterial promoters genome-wide by in vitro transcription coupled to transcriptome sequencing specific for native 5'-ends of transcripts. This method, called ROSE (run-off transcription/RNA-sequencing), only requires chromosomal DNA, ribonucleotides, RNA polymerase (RNAP) core enzyme, and a specific sigma factor, recognizing the corresponding promoters, which have to be analyzed. ROSE was performed on K-12 MG1655 genomic DNA using RNAP holoenzyme (including σ70) and yielded 3226 transcription start sites, 2167 of which were also identified in in vivo studies, and 598 were new. Many new promoters not yet identified by in vivo experiments might be repressed under the tested conditions. Complementary in vivo experiments with K-12 strain BW25113 and isogenic transcription factor gene knockout mutants of , , and were used to test this hypothesis. Comparative transcriptome analysis demonstrated that ROSE could identify promoters that were apparently repressed in vivo. In this sense, ROSE is well-suited as a bottom-up approach for characterizing transcriptional networks in bacteria and ideally complementary to top-down in vivo transcriptome studies.

摘要

转录调控网络的全局表征几乎完全采用体内条件,从而能同时提供多个调控相互作用的快照。为了补充这些方法,我们开发并应用了一种通过体外转录与转录组测序相结合来在全基因组范围内表征细菌启动子的方法,该转录组测序针对转录本的天然5'端。这种方法称为ROSE( runoff转录/RNA测序),只需要染色体DNA、核糖核苷酸、RNA聚合酶(RNAP)核心酶以及识别待分析相应启动子的特定sigma因子。使用RNAP全酶(包括σ70)对K - 12 MG1655基因组DNA进行ROSE分析,得到了3226个转录起始位点,其中2167个在体内研究中也已被鉴定,598个是新的。许多尚未通过体内实验鉴定的新启动子在测试条件下可能受到抑制。利用K - 12菌株BW25113以及 、 和 的同基因转录因子基因敲除突变体进行补充性体内实验来检验这一假设。比较转录组分析表明ROSE能够鉴定出在体内明显受到抑制的启动子。从这个意义上说,ROSE非常适合作为一种自下而上的方法来表征细菌中的转录网络,并且是自上而下的体内转录组研究的理想补充。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e5f6/10301672/238a17fee41c/microorganisms-11-01388-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e5f6/10301672/dbd5333b3843/microorganisms-11-01388-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e5f6/10301672/ce98c76a8e5b/microorganisms-11-01388-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e5f6/10301672/73c99c6e287c/microorganisms-11-01388-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e5f6/10301672/74abc6c23ad0/microorganisms-11-01388-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e5f6/10301672/238a17fee41c/microorganisms-11-01388-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e5f6/10301672/dbd5333b3843/microorganisms-11-01388-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e5f6/10301672/ce98c76a8e5b/microorganisms-11-01388-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e5f6/10301672/73c99c6e287c/microorganisms-11-01388-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e5f6/10301672/74abc6c23ad0/microorganisms-11-01388-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e5f6/10301672/238a17fee41c/microorganisms-11-01388-g005.jpg

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