ArticleJournal of advanced research2023
Visually predicting microRNA-regulated tumor metastasis by intracellularly 3D counting of fluorescent spots based on in situ growth of DNA flares.
Article in Journal of advanced research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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6 authors at 2 institutions in 1 country.
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Abstract
introductionMicroRNAs (miRNAs) have been revealed to be critical genetic regulators in various physiological processes and thus quantitative information on the expression level of critical miRNAs has important implications for the initiation and development of human diseases, including cancers.
objectivesWe herein develop three-dimensionally (3D) counting of intracellular fluorescent spots for accurately evaluating microRNA-21 (miRNA-21) expression in individual HeLa cells based on stimuli-activated in situ growth of optical DNA flares, grid-patterned DNA-protein hybrids (GDPHs).
methodsTarget miRNA is sequence-specifically detected down to 10 pM owing to efficient signal amplification. Within living cells, GDPH flares are nuclease resistant and discrete objects with retarded mobility, enabling the screening of intracellular location and distribution of miRNAs and realizing in situ counting of target species with a high accuracy.
resultsThe quantitative results of intracellular miRNAs by 3D fluorescence counts are consistent with qPCR gold standard assay, exhibiting the superiority over 2D counts. By screening the expression of intracellular miR-21 that can down-regulate the programmed cell death 4 (PDCD4) protein, the proliferation and migration of HeLa cells, including artificially-regulated ones, were well estimated, thus enabling the prediction of cancer metastasis in murine tumor models.
conclusionThe experiments in vitro, ex vivo and in vivo demonstrate that GDPH-based 3D fluorescence counts at the single cell level provide a valuable molecular tool for understanding biological function of miRNAs and especially for recognizing aggressive CTCs, offering a design blueprint for further expansion of DNA structural nanotechnology in predicting distant metastasis and prevention of tumor recurrence after primary resection.
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