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Adam D. Silverman

Researcher at Northwestern University

Publications -  16
Citations -  761

Adam D. Silverman is an academic researcher from Northwestern University. The author has contributed to research in topics: Synthetic biology & Medicine. The author has an hindex of 7, co-authored 13 publications receiving 409 citations. Previous affiliations of Adam D. Silverman include University of Wisconsin-Madison.

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Cell-free gene expression: an expanded repertoire of applications.

TL;DR: Advances provide exciting opportunities to profoundly transform synthetic biology by enabling new approaches to the model-driven design of synthetic gene networks, the fast and portable sensing of compounds, on-demand biomanufacturing, building cells from the bottom up, and next-generation educational kits.
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Point-of-Use Detection of Environmental Fluoride via a Cell-Free Riboswitch-Based Biosensor.

TL;DR: Through onsite detection of fluoride in a real-world water source, this work provides a critical proof-of-principle for the future engineering of riboswitches and other biosensors to address challenges for global health and the environment.
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Deconstructing Cell-Free Extract Preparation for in Vitro Activation of Transcriptional Genetic Circuitry

TL;DR: It is shown that cell-free expression of genes under bacterial σ70 promoters is constrained by the rate of transcription in crude extracts, and that processing the extract with a ribosomal runoff reaction and subsequent dialysis alleviates this constraint.
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Point-of-care biomarker quantification enabled by sample-specific calibration

TL;DR: A platform for inexpensive, easy-to-use diagnostics that uses cell-free expression to generate colored readouts that are visible to the naked eye, yet quantitative and robust to the interference effects seen in complex samples is developed.
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Design of a Transcriptional Biosensor for the Portable, On-Demand Detection of Cyanuric Acid.

TL;DR: This work engineer a portable biosensor for cyanuric acid (CYA) using a LysR-type transcription regulator from Pseudomonas within the context of Escherichia coli gene expression machinery, and elucidates general principles to facilitate the engineering of a wider array of LTTR-based environmental sensors.