ArticleNature communications2023
Genome-wide promoter responses to CRISPR perturbations of regulators reveal regulatory networks in Escherichia coli.
Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
10 citing papers in PubMed.
- Disentangling factors affecting bacterial transcriptional regulatory network inference.iScience · 2026Article
- Cross-Strain Transferability of CRISPRi Systems and Design Rules from Laboratory to ClinicalACS synthetic biology · 2026Article
- Cross-strain transferability of CRISPRi systems and design rules from laboratory to clinicalbioRxiv : the preprint server for biology · 2026Article
- A comparison of computational methods for expression forecasting.Genome biology · 2025Article
- How Klebsiella pneumoniae controls its virulence.PLoS pathogens · 2025Review
- Deciphering regulatory architectures of bacterial promoters from synthetic expression patterns.PLoS computational biology · 2024Article
- Guide RNA structure design enables combinatorial CRISPRa programs for biosynthetic profiling.Nature communications · 2024Article
- Article
- Deciphering regulatory architectures from synthetic single-cell expression patterns.bioRxiv : the preprint server for biology · 2024Article
- Accelerating Genetic Sensor Development, Scale-up, and Deployment Using Synthetic Biology.Biodesign research · 2024Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Elucidating genome-scale regulatory networks requires a comprehensive collection of gene expression profiles, yet measuring gene expression responses for every transcription factor (TF)-gene pair in living prokaryotic cells remains challenging. Here, we develop pooled promoter responses to TF perturbation sequencing (PPTP-seq) via CRISPR interference to address this challenge. Using PPTP-seq, we systematically measure the activity of 1372 Escherichia coli promoters under single knockdown of 183 TF genes, illustrating more than 200,000 possible TF-gene responses in one experiment. We perform PPTP-seq for E. coli growing in three different media. The PPTP-seq data reveal robust steady-state promoter activities under most single TF knockdown conditions. PPTP-seq also enables identifications of, to the best of our knowledge, previously unknown TF autoregulatory responses and complex transcriptional control on one-carbon metabolism. We further find context-dependent promoter regulation by multiple TFs whose relative binding strengths determined promoter activities. Additionally, PPTP-seq reveals different promoter responses in different growth media, suggesting condition-specific gene regulation. Overall, PPTP-seq provides a powerful method to examine genome-wide transcriptional regulatory networks and can be potentially expanded to reveal gene expression responses to other genetic elements.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.