ArticleProceedings of the National Academy of Sciences of the United States of America2021
Biological signal processing filters via engineering allosteric transcription factors.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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14 citing papers in PubMed, 18 citations in OpenAlex.
- Protecting cells at the genetic level and simulating unauthorized access via a biohackathon.Science advances · 2026Article
- Expanding the toolkit of LacI/GalR chimeras.PloS one · 2026Article
- Designing modular genetic sensors with TtgR/AcrR family transcriptional regulators by using a statistical and data-driven approach.Nucleic acids research · 2025Article
- Engineering wetware and software for the predictive design of compressed genetic circuits for higher-state decision-making.Nature communications · 2025Article
- Concentration-Dependent CsrA Regulation of theACS synthetic biology · 2025Article
- Sequence-Based Protein Design: A Review of Using Statistical Models to Characterize Coevolutionary Traits for Developing Hybrid Proteins as Genetic Sensors.International journal of molecular sciences · 2024Review
- Protein-based bandpass filters for controlling cellular signaling with chemical inputs.Nature chemical biology · 2024Article
- Engineering intelligent chassis cells via recombinase-based MEMORY circuits.Nature communications · 2024Article
- Customizing cellular signal processing by synthetic multi-level regulatory circuits.Nature communications · 2023Review
- Next generation synthetic memory via intercepting recombinase function.Nature communications · 2023Article
- Synthesizing cellular LOGIC.Nature chemical biology · 2023Article
- Performance Prediction of Fundamental Transcriptional Programs.ACS synthetic biology · 2023Article
- Transcriptional programming in a Bacteroides consortium.Nature communications · 2022Article
- A domain swapping strategy to create modular transcriptional regulators for novel topology in genetic network.Biotechnology advancesReview
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Signal processing is critical to a myriad of biological phenomena (natural and engineered) that involve gene regulation. Biological signal processing can be achieved by way of allosteric transcription factors. In canonical regulatory systems (e.g., the lactose repressor), an INPUT signal results in the induction of a given transcription factor and objectively switches gene expression from an OFF state to an ON state. In such biological systems, to revert the gene expression back to the OFF state requires the aggressive dilution of the input signal, which can take 1 or more d to achieve in a typical biotic system. In this study, we present a class of engineered allosteric transcription factors capable of processing two-signal INPUTS, such that a sequence of INPUTS can rapidly transition gene expression between alternating OFF and ON states. Here, we present two fundamental biological signal processing filters, BANDPASS and BANDSTOP, that are regulated by D-fucose and isopropyl-β-D-1-thiogalactopyranoside. BANDPASS signal processing filters facilitate OFF-ON-OFF gene regulation. Whereas, BANDSTOP filters facilitate the antithetical gene regulation, ON-OFF-ON. Engineered signal processing filters can be directed to seven orthogonal promoters via adaptive modular DNA binding design. This collection of signal processing filters can be used in collaboration with our established transcriptional programming structure. Kinetic studies show that our collection of signal processing filters can switch between states of gene expression within a few minutes with minimal metabolic burden-representing a paradigm shift in general gene regulation.
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