Systematic discovery of uncharacterized transcription factors in Escherichia coli K-12 MG1655
2018 · Nucleic Acids Research
저자
Ye Gao, James T. Yurkovich, 서상우 (Sang Woo Seo), Ilyas Kabimoldayev, Andreas Dräger, Ke Chen, Anand V. Sastry, Xin De Fang, Nathan Mih, Laurence Yang, Johannes Eichner, Byung‐Kwan Cho, Donghyuk Kim, Bernhard Ørn Palsson
연구주제
Bacterial Genetics and Biotechnology
NTIS 과학기술표준분류
가장 가까운 분류(보건의료 > 신약·의약품개발 > 백신)가 화학·화공 범위 밖이다. 배정 근거: AI 키워드가 잡은 NTIS 과제의 분류.
AI 연구 키워드·방법
dna binding motif 대장균 transcription factor discovery 전사조절 네트워크
chip exo sequencing
키워드 (OpenAlex)
transcription factors Escherichia coli MG1655 transcriptional regulatory networks DNA-binding motifs uncharacterized genes proton transfer acetate metabolism iron homeostasis
초록
Transcriptional regulation enables cells to respond to environmental changes. Of the estimated 304 candidate transcription factors (TFs) in Escherichia coli K-12 MG1655, 185 have been experimentally identified, but ChIP methods have been used to fully characterize only a few dozen. Identifying these remaining TFs is key to improving our knowledge of the E. coli transcriptional regulatory network (TRN). Here, we developed an integrated workflow for the computational prediction and comprehensive experimental validation of TFs using a suite of genome-wide experiments. We applied this workflow to (i) identify 16 candidate TFs from over a hundred uncharacterized genes; (ii) capture a total of 255 DNA binding peaks for ten candidate TFs resulting in six high-confidence binding motifs; (iii) reconstruct the regulons of these ten TFs by determining gene expression changes upon deletion of each T…
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연구주제 1
Bacterial Genetics and Biotechnology