708 research outputs found

    FRET theoretical predictions concerning freely diffusive dyes inside spherical container: how to choose the best pair?

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    FRET has been massively used to see if biomolecules were bounded or not by labelling both biomolecules by one dye of a FRET pair. This should give a digital answer to the question (fluorescence of the acceptor: high FRET efficency: molecules associated, fluorescence of the donor: low FRET efficency: molecules dissociated). This has been used, inter alia, at the single-molecule scale in containers, such as liposomes. One perspective of the field is to reduce the container’s size to study the effect of confinement on binding. The problem is that if the two dyes are encapsulated inside a small liposome, they could have a significant probability to be close one from the other one (and thus to undergo a high FRET efficiency event without binding). This is why we suggest here a theoretical model which gives mean FRET efficiency as a function of liposome radius (the model applies to any spherical container) and Förster radius to help the experimentalist to choose their experimental set-up. Besides, the influence of side effect on mean FRET efficiency has been studied as well. We show here that if this “background FRET” is most of the time non-quantitative, it can remain significant and which makes data analysis trickier. We could show as well that if this background FRET obviously increases when liposome radius decreases, this variation was lower than the one which could be expected because of side effect. We show as well the FRET efficiency function distribution which let the experimentalist know the probability to get one FRET efficiency value

    How to exploit different endocytosis pathways to allow selective delivery of anticancer drugs to cancer cells over healthy cells

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    It was recently shown that it is possible to exploit the nanoparticle shape to selectively target endocytosis pathways found in cancer and not healthy cells. It is important to understand and compare the endocytosis pathways of nanoparticles in both cancer and healthy cells to restrict the healthy cells from taking up anticancer drugs to help reduce the side effects for patients. Here, the clathrin-mediated endocytosis inhibitor, hydroxychloroquine, and the anticancer drug, doxorubicin, are loaded into the same mesoporous silica nanorods. The use of nanorods was found to restrict the uptake by healthy cells but allowed cancer cells to take up the nanorods via the macropinocytosis pathway. Furthermore, it is shown that the nanorods can selectively deliver doxorubicin to the nucleus of breast cancer cells and to the cytoplasm of pancreatic cancer cells. The dual-drug-loaded nanorods were able to selectively kill the breast cancer cells in the presence of healthy breast cells. This study opens exciting possibilities of targeting cancer cells based on the material shape rather than targeting antibodies

    Can the Shape of Nanoparticles Enable the Targeting to Cancer Cells over Healthy Cells?

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    Macropinocytosis is a consequence of oncogenic alterations of cancer cells while most healthy cells are non-macropinocytic. It is currently unclear whether macropinocytic cancer cells can be targeted rather than healthy cells, by adjusting the shape and size of nanoparticles. Herein, the endocytosis of two differently shaped nanoparticles; nanorods and nanospheres are compared in cancer and healthy cells. The cells are breast epithelial cancer cells (MCF7) and breast epithelial healthy cells (MCF10A) and pancreas cancer cells (PANC-1 cells) and non-tumourogenic patient-derived cancer-associated fibroblasts (CAFs). The endocytosis pathway is quantified by a combination of pair correlation microscopy and endocytosis inhibitors. MCF7 cells use clathrin-mediated endocytosis and macropinocytosis to take up the nanorods while MCF10A cells use predominantly clathrin-mediated endocytosis. Based on the comparison of endocytic behavior of cancer and healthy cells, MCF7 cells can be induced to take up more nanorods and suppress the metabolism and endocytosis of nanorods in MCF10A cells. The nanorods allow targeting to breast cancer MCF7 cells and pancreas cancer cells over the healthy cells. This study opens exciting possibilities for shape to target the cancer cells over healthy cells, by adjusting nanoparticle shape

    Simple machine learning model about predicting the price of gold

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    Biomolecular Binding under Confinement: Statistical Predictions of Steric Influence in Absence of Long-Distance Interactions

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    We propose a theoretical model for the influence of confinement on biomolecular binding at the single-molecule scale at equilibrium, based on the change of the number of microstates (localization and orientation) upon reaction. Three cases are discussed: DNA sequences shorter and longer than the single strain DNA Kuhn length and spherical proteins, confined into a spherical container (liposome, droplet, etc.). The influence of confinement is found to be highly dependent on the molecular structure and significant for large molecules (relative to container size)

    Statistical predictions on the encapsulation of single molecule binding pairs into sized-dispersed nanocontainers

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    Single molecule experiments have recently attracted enormous interest. Many of these studies involve the encapsulation of a single molecule into nanoscale containers (such as vesicles, droplets and nanowells). In such cases, the single molecule encapsulation efficiency is a key parameter to consider in order to get a statistically significant quantitative information. It has been shown that such encapsulation typically follows a Poisson distribution and such theory of encapsulation has only been applied to the encapsulation of single molecules into perfectly sized monodispersed containers. However, experimentally nanocontainers are usually characterized by a size distribution, and often just a single binding pair (rather than a single molecule) is required to be encapsulated. Here the use of Poisson distribution is extended to predict the encapsulation efficiency of two different molecules in an association equilibrium. The Poisson distribution is coupled with a log-normal distribution in order to consider the effect of the container size distribution, and the effect of adsorption to the container is also considered. This theory will allow experimentalists to determine what single molecule encapsulation efficiency can be expected as a function of the experimental conditions. Two case studies, based on experimental data, are given to support the theoretical predictions

    TagPaint: Covalent labelling of genetically encoded protein tags for DNA-PAINT imaging

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    Recently, DNA-PAINT single-molecule localization microscopy (SMLM) has shown great promise for quantitative imaging; however, labelling strategies thus far have relied on multivalent and affinity-based approaches. Here, the covalent labelling of expressed protein tags (SNAP tag and Halo tag) with single DNA-docking strands and application of SMLM via DNA-PAINT is demonstrated. tagPAINT is then used for T-cell receptor signalling proteins at the immune synapse as a proof of principle
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