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- W4377861219 endingPage "100669" @default.
- W4377861219 startingPage "100669" @default.
- W4377861219 abstract "Common methods to label cell surface proteins (CSPs) involve the use of fluorescently modified antibodies (Abs) or small-molecule-based ligands. However, optimizing the labeling efficiency of such systems, for example, by modifying them with additional fluorophores or recognition elements, is challenging. Herein we show that effective labeling of CSPs overexpressed in cancer cells and tissues can be obtained with fluorescent probes based on chemically modified bacteria. The bacterial probes (B-probes) are generated by non-covalently linking a bacterial membrane protein to DNA duplexes appended with fluorophores and small-molecule binders of CSPs overexpressed in cancer cells. We show that B-probes are exceptionally simple to prepare and modify because they are generated from self-assembled and easily synthesized components, such as self-replicating bacterial scaffolds and DNA constructs that can be readily appended, at well-defined positions, with various types of dyes and CSP binders. This structural programmability enabled us to create B-probes that can label different types of cancer cells with distinct colors, as well as generate very bright B-probes in which the multiple dyes are spatially separated along the DNA scaffold to avoid self-quenching. This enhancement in the emission signal enabled us to label the cancer cells with greater sensitivity and follow the internalization of the B-probes into these cells. The potential to apply the design principles underlying B-probes in therapy or inhibitor screening is also discussed here." @default.
- W4377861219 created "2023-05-24" @default.
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- W4377861219 date "2023-06-01" @default.
- W4377861219 modified "2023-09-30" @default.
- W4377861219 title "Chemically programmable bacterial probes for the recognition of cell surface proteins" @default.
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- W4377861219 doi "https://doi.org/10.1016/j.mtbio.2023.100669" @default.
- W4377861219 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37334185" @default.
- W4377861219 hasPublicationYear "2023" @default.
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