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Industrialization and failing infrastructure have led to a growing number of irreversible health conditions resulting from chronic lead exposure. While state-of- the-art analytical chemistry methods provide accurate and sensitive detection of lead, they are too slow, expensive, and centralized to be accessible to many. Cell-free biosensors based on allosteric transcription factors (aTFs) can address the need for accessible, on-demand lead detection at the point of use. However, known aTFs, such as PbrR, are unable to detect lead at concentrations regulated by the Environmental Protection Agency (24−72 nM). Here, we develop a rapid cell-free platform for engineering aTF biosensors with improved sensitivity, selectivity, and dynamic range characteristics. We apply this platform to engineer PbrR mutants for a shift in limit of detection from 10 μM to 50 nM lead and demonstrate use of PbrR as a cell-free biosensor. We envision that our workflow could be applied to engineer any aTF.more » « less
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Collins, Marvin; Lau, Matthew_B; Ma, William; Shen, Aidan; Wang, Brenda; Cai, Sa; La_Russa, Marie; Jewett, Michael_C; Qi, Lei_S (, Nature Communications)
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Brown, Dylan M; Phillips, Daniel A; Garcia, David C; Arce, Anibal; Lucci, Tyler; Davies, John P; Mangini, Jacob T; Rhea, Katherine A; Bernhards, Casey B; Biondo, John R; et al (, ACS Synthetic Biology)Free, publicly-accessible full text available March 12, 2026
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Jung, Jaeyoung K; Rasor, Blake J; Rybnicky, Grant A; Silverman, Adam D; Standeven, Janet; Kuhn, Robert; Granito, Teresa; Ekas, Holly M; Wang, Brenda M; Karim, Ashty S; et al (, ACS Synthetic Biology)
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