Single-cell parameter inference reveals kinetic heterogeneity in synthetic mammalian gene expression.

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Bibliographic Details
Title: Single-cell parameter inference reveals kinetic heterogeneity in synthetic mammalian gene expression.
Authors: Azukas J; Department of Biomedical Engineering, Stony Brook University, Stony Brook, New York; The Louis and Beatrice Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, New York., Krzysztoń R; Department of Biomedical Engineering, Stony Brook University, Stony Brook, New York; The Louis and Beatrice Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, New York., Helenek C; Department of Biomedical Engineering, Stony Brook University, Stony Brook, New York; The Louis and Beatrice Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, New York., Carter S; Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, New York; The Louis and Beatrice Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, New York., Li SX; Department of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, New York; The Louis and Beatrice Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, New York., Balázsi G; Department of Biomedical Engineering, Stony Brook University, Stony Brook, New York; The Louis and Beatrice Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, New York., Strey HH; Department of Biomedical Engineering, Stony Brook University, Stony Brook, New York; The Louis and Beatrice Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, New York. Electronic address: helmut.strey@stonybrook.edu.
Source: Biophysical journal [Biophys J] 2026 Jun 16; Vol. 125 (12), pp. 3166-3181. Date of Electronic Publication: 2026 Feb 19.
Publication Type: Journal Article
Journal Info: Publisher: Cell Press Country of Publication: United States NLM ID: 0370626 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1542-0086 (Electronic) Linking ISSN: 00063495 NLM ISO Abbreviation: Biophys J Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1542-0086
DOI:10.1016/j.bpj.2026.02.017