ArticleACS synthetic biology2024
Design and Characterization of a Transcriptional Repression Toolkit for Plants.
Article in ACS synthetic biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Article
- Synthetic transcriptional repression systems in plants.Plant cell reports · 2026Review
- Chassis selection and metabolic fine-tuning enable efficient in planta betalain production.Plant physiology · 2026Article
- CONSERVATION AND DIVERGENCE WITHIN THEbioRxiv : the preprint server for biology · 2026Article
- A toolkit for programmable transcriptional engineering across eukaryotic kingdoms.bioRxiv : the preprint server for biology · 2026Article
- Multiplexed profiling of transcriptional regulators in plant cells.Nature biotechnology · 2025Article
- Rational Modulation of Plant Root Development Using Engineered Cytokinin Regulators.ACS synthetic biology · 2025Article
- Through the lens of bioenergy crops: advances, bottlenecks, and promises of plant engineering.The Plant journal : for cell and molecular biology · 2025Review
- Plant engineering: advances, bottlenecks, and promise.The Plant journal : for cell and molecular biology · 2025Article
- The TPX family of co-repressors: a hub amidst the hubbub.Physiologia plantarumReview
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Authors and funding
4 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Regulation of gene expression is essential for all life. Tools to manipulate the gene expression level have therefore proven to be very valuable in efforts to engineer biological systems. However, there are few well-characterized genetic parts that reduce gene expression in plants, commonly known as transcriptional repressors. We characterized the repression activity of a library consisting of repression motifs from approximately 25% of the members of the largest known family of repressors. Combining sequence information with our trans-regulatory function data, we next generated a library of synthetic transcriptional repression motifs with function predicted in advance. After characterizing our synthetic library, we demonstrated not only that many of our synthetic constructs were functional as repressors but also that our advance predictions of repression strength were better than random guesses. Finally, we assessed the functionality of known transcriptional repression motifs from a wide range of eukaryotes. Our study represents the largest plant repressor motif library experimentally characterized to date, providing unique opportunities for tuning transcription in plants.
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