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Issue 8, 2018
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Dynamic mapping of spontaneously produced H2S in the entire cell space and in live animals using a rationally designed molecular switch

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Abstract

Hydrogen sulfide (H2S) is a key signaling molecule in the cytoprotection, vascular mediation and neurotransmission of living organisms. In-depth understanding of its production, trafficking, and transformation in cells is very important in the way H2S mediates cellular signal transductions and organism functions; it also motivates the development of H2S probes and imaging technologies. A fundamental challenge, however, is how to engineer probes with sensitivity and cellular penetrability that allow detection of spontaneous production of H2S in the entire cell space and live animals. Here, we report a rationally designed molecular switch capable of accessing all intracellular compartments, including the nucleus, lysosomes and mitochondria, for H2S detection. Our probe comprised three functional domains (H2S sensing, fluorescence, and biomembrane penetration), could enter almost all cell types readily, and exhibit a rapid and ultrasensitive response to H2S (≤120-fold fluorescence enhancement) for the dynamic mapping of spontaneously produced H2S as well as its distribution in the whole cell. In particular, the probe traversed blood/tissue/cell barriers to achieve mapping of endogenous H2S in metabolic organs of a live Danio rerio (zebrafish). These results open-up exciting opportunities to investigate H2S physiology and H2S-related diseases.

Graphical abstract: Dynamic mapping of spontaneously produced H2S in the entire cell space and in live animals using a rationally designed molecular switch

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Publication details

The article was received on 05 Nov 2017, accepted on 06 Feb 2018 and first published on 07 Mar 2018


Article type: Paper
DOI: 10.1039/C7AN01802A
Citation: Analyst, 2018,143, 1881-1889
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    Dynamic mapping of spontaneously produced H2S in the entire cell space and in live animals using a rationally designed molecular switch

    L. Yang, J. Zhao, X. Yu, R. Zhang, G. Han, R. Liu, Z. Liu, T. Zhao, M. Han and Z. Zhang, Analyst, 2018, 143, 1881
    DOI: 10.1039/C7AN01802A

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