4.3 Article

Fluorescence life-time imaging microscopy (FLIM) monitors tumor cell death triggered by photothermal therapy with MoS2 nanosheets

Journal

Publisher

WORLD SCIENTIFIC PUBL CO PTE LTD
DOI: 10.1142/S1793545819400029

Keywords

Fluorescence lifetime imaging microscopy (FLIM); MoS2 nanosheets; photothermal therapy (PTT); 4T1 cells

Funding

  1. National Key R&D Program of China [2018YFC0910602]
  2. National Natural Science Foundation of China [31771584/61775145/61605121, 61620106016/61525503/61835009/81727804]
  3. Guangdong Natural Science Foundation Innovation Team [2014A030312008]
  4. Shenzhen Basic Research Project [JCYJ20170818100153423/JCYJ20170412110212234/JCYJ20160328144746940/JCYJ20170412105003520/JCYJ20170302142902581]
  5. Science Foundation of SZU [000193]

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Recently, photothermal therapy (PTT) has been proved to have great potential in tumor therapy. In the last several years, MoS2, as one novel member of nanomaterials, has been applied into PTT due to its excellent photothermal conversion efficacy. In this work, we applied fluorescence lifetime imaging microscopy (FLIM) techniques into monitoring the PPT-triggered cell death under MoS2 nanosheet treatment. Two types of MoS2 nanosheets (single layer nanosheets and few layer nanosheets) were obtained, both of which exhibited presentable photothermal conversion efficacy, leading to high cell death rates of 4T1 cells (mouse breast cancer cells) under PTT. Next, live cell images of 4T1 cells were obtained via directly labeling the mitochondria with Rodamine123, which were then continuously observed with FLIM technique. FLIM data showed that the fluorescence lifetimes of mitochondria targeting dye in cells treated with each type of MoS2 nanosheets significantly increased during PTT treatment. By contrast, the fluorescence lifetime of the same dye in control cells (without nanomaterials) remained constant after laser irradiation. These findings suggest that FLIM can be of great value in monitoring cell death process during PTT of cancer cells, which could provide dynamic data of the cellular microenvironment at single cell level in multiple biomedical applications.

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