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13 results for “nanoparticle uptake”
Altered nanoparticle uptake by lung carcinoma cells when stimulated with epidermal growth factor
<p>This dataset provides the raw data supporting the paper "Altered nanoparticle uptake by lung carcinoma cells when stimulated with epidermal growth factor". The focus of the study was to investigate the uptake of two different sizes of silica NPs and gold NPs in lung epithelial cells A549 in the presence of epidermal growth factor (EGF). </p> <p>The data set includes:</p> <ul> <li>Screening for EGF receptor using western blot and confocal microscopy (Figure 1 and Figure S1)</li> <li>Investigating expression of RAC1/CDC42 proteins upon EGF stimulation using Western blot (Figure 2)</li> <li>Investigating expression of RAC1 gene upon EGF stimulation using RT-qPCR (Figure S2)</li> <li>Evaluating uptake of endocytic markers upon EGF stimulation using confocal laser scanning microscopy (Figure 3, Figure S4) and flow cytometry (Figure 3)</li> <li>Nanoparticle characterization using TEM (Figure 4, Figure S6) and UV-Vis (Figure S5, Figure S6)</li> <li>Evaluating silica nanoparticle uptake upon EGF stimulation using confocal laser scanning microscopy (Figure 5, Figure S8) and flow cytometry (Figure 5)</li> <li>Evaluating gold nanoparticle uptake upon EGF stimulation using dark-field microscopy and ICP-AES (Figure 6)</li> <li>Investigating expression of c-MYC gene upon EGF stimulation using RT-qPCR (Figure 6)</li> <li>Cell viability results, analysed via lactate dehydrogenase assay (Figure S3) and MTS assay (Figure S9)</li> <li>Raw integrated density data from dark-field images (Figure S9)</li> </ul>
Increased uptake of silica nanoparticles in inflamed macrophages but not upon co-exposure to micron-sized particles
<p>Silica nanoparticles (NPs) are widely used in various industrial and biomedical applications. Little is known about the cellular uptake of co-exposed silica particles, as can be expected in our daily life. In addition, an inflamed microenvironment might affect a NP’s uptake and a cell’s physiological response. Herein, prestimulated mouse J774A.1 macrophages with bacterial lipopolysaccharide were post-exposed to micron- and nanosized silica particles, either alone or together, i.e., simultaneously or sequentially, for different time points. The results indicated a morphological change and increased expression of tumor necrosis factor alpha in lipopolysaccharide prestimulated cells, suggesting a M1-polarization phenotype. Confocal laser scanning microscopy revealed the intracellular accumulation and uptake of both particle types for all exposure conditions. A flow cytometry analysis showed an increased particle uptake in lipopolysaccharide prestimulated macrophages. However, no differences were observed in particle uptakes between single- and co-exposure conditions. We did not observe any colocalization between the two silica (SiO<sub>2</sub>) particles. However, there was a positive colocalization between lysosomes and nanosized silica but only a few colocalized events with micro-sized silica particles. This suggests differential intracellular localizations of silica particles in macrophages and a possible activation of distinct endocytic pathways. The results demonstrate that the cellular uptake of NPs is modulated in inflamed macrophages but not in the presence of micron-sized particles.</p>
Accompanying data for the paper "Accounting for the mechanical response of the cell membrane during the uptake of random nanoparticles"
<h2>Contributions</h2> <ul> <li><strong>Iaquinta Sarah</strong> did contribute to the first draft edition, the development of the theoretical background of the algorithms and their implementation</li> <li><strong>Khazaie Sharam</strong> did contribute to the revision and edition of the draft, and to the development of the theoretical background of the algorithms</li> <li><strong>Jacquemin Frédéric</strong> did contribute to the project management and to the revision of the article.</li> <li><strong>Fréour Sylvain</strong> did contribute to the project management and to the revision of the article.</li> </ul> <h2>Funding sources</h2> <p>i-Site NExT : Grant/Award Number: ANR-16-IDEX-0007, Région Pays de la Loire and CNRS (French National Centre for Scientific Research).</p> <h2>Data structure and information</h2> <ul> <li>code - <code>np_uptake source and data directory</code> <ul> <li>workflow - <code>scripts to reproduce figures</code></li> <li>np_uptake - <code>source code producing results and figures</code> <ul> <li>figures - <code>utility module to produce figures</code></li> <li>model - <code>see detailed description below</code></li> <li>metamodel_implementation - <code>see detailed description below</code></li> <li>sensitivity_analysis - <code>see detailed description below</code></li> </ul> </li> </ul> </li> </ul> <h3>Detailed description</h3> <h4>Abstract</h4> <p>In order to improve the efficiency of the delivery of cancer treatments to cancer cells, the cellular uptake of nanoparticles (NPs), used as drug delivery systems, is numerically investigated through a mechanical approach. The objective is to optimize the NP's mechanical and geometrical properties to enhance their entry into cancer cells while avoiding benign ones. In previous studies, these properties are modeled as constant during the process of cellular uptake. However, recent observations of the displacement of the membrane's constituents towards the region in the cell membrane where the uptake of the NPs takes place show that the mechanical properties of the membrane vary during this process. Reason for writing The important contribution of adhesion to the wrapping process is already well documented in literature. It is therefore crucial to model this parameter properly as the conclusions made with a constant adhesion model may not be accurate compared to reality. Methodology Based on the existing knowledge on the reaction of membrane constituents to interaction with NPs, a 3-parameter sigmoidal function, accounting for the delay, amplitude, and speed of the reaction, has been used to model the evolution of adhesion. A variance-based sensitivity analysis has then been performed in order to quantify the influence of these parameters on the outputs of the model. Results It was found that the introduction of a variable adhesion tends to alter the predictions of endocytosis of NPs. The contribution of the amplitude and delay is respectively 0.32 and 0.43 times as important as that of the NP's aspect ratio, which is the prominent parameter. The influence of the slope of the transition is the least important parameter and does not appear to contribute to endocytosis. Implications Hence, models of the cellular uptake of NPs should use a variable, instead of constant, adhesion in order a representative as possible of the behavior of the cell membrane. The predictions are different from those obtained using a model with constant adhesion.</p> <h4>Code</h4> <p>This repository is divided into 4 folders:</p> <ul> <li> <p><em>model</em>: contains the code used to compute the total variation of energy of the interface between a circular NP and a membrane by accounting for the mechanical accommodation of the latter. This folder also contains the routine to determine the final wrapping phase of the system.</p> </li> <li> <p><em>metamodel_implementation</em>: contains a script to check for the representativeness of the dataset used to create a metamodel, a script to create Kriging and PCE metamodels using the Openturns opensource library, and a routine to validate the metamodel that has just been created;</p> </li> <li> <p><em>sensitivity_analysis</em>: contains a script that allows to create samples based on the Kriging metamodels that have been created and exported as .pkl files in the metamodel folder. These samples are then used to the apply sensitivity algorithms. The user can choose among the various sensitivity algorithms provided by Openturns. For PCE metamodels, a routine is implemented to directly get the Sobol indices from the coefficients of the PCE metamodel. The indices can be plotted through plot routines;</p> </li> <li> <p><em>figures</em>: contains a utils script to display the graphs and save them as PNG files with consistency.</p> </li> </ul>
Predicting Nanoparticle Uptake by Biological Membranes: Theory and Simulation - data
<p>Simulation data described in paper entitled "Predicting Nanoparticle Uptake by Biological Membranes: Theory and Simulation"</p>
Cellular uptake of silica and gold nanoparticles induces early activation of nuclear receptor NR4A1
<p>The approval of new nanomedicines requires a deeper understanding of the interaction between cells and nanoparticles (NPs). Silica (SiO<sub>2</sub>) and gold (Au) NPs have shown great potential in biomedical applications, such as the delivery of therapeutic agents, diagnostics, and biosensors. NP-cell interaction and internalization can trigger several cellular responses, including gene expression regulation. The identification of differentially expressed genes in response to NP uptake contributes to a better understanding of the cellular processes involved, including potential side effects. We investigated gene regulation in human macrophages and lung epithelial cells after acute exposure to spherical 60 nm SiO<sub>2</sub> NPs. SiO<sub>2</sub> NPs uptake did not considerably affect gene expression in epithelial cells, whereas five genes were up-regulated in macrophages. These genes are principally related to inflammation, chemotaxis, and cell adhesion. NR4A1, an important modulator of inflammation in macrophages, was found to be up-regulated. The expression of this gene was increased upon 1 h of macrophage exposure to spherical 50 nm AuNPs and 200 nm spherical SiO<sub>2</sub> NPs. NR4A1 can thus be an important immediate regulator of inflammation provoked by NP uptake in macrophages.</p>
Core-shell structured chitosan-polyethylenimine nanoparticles for gene delivery: Improved stability, cellular uptake, and transfection efficiency
<p>Gene therapy has emerged as a promising treatment option for various acquired and inherited diseases. The delivery of nucleic acids relies on so-called vectors that condense and encapsulate their cargo, generating stable nano-sized particles. Especially non-viral gene delivery systems are of increasing interest. However, accomplishing therapeutic levels of transgene expression and limited tolerability of these systems remain a challenge. Therefore, we investigate in the present study the improvement of nucleic acid delivery using depolymerized chitosan – polyethylenimine DNA core complexes (dCS-PEI/DNA). These core complexes are further entrapped into a variety of dCS-based shells, functionalized with poly(ethylene glycol) (PEG) spacers conjugated to ionic moieties (amino or carboxylate groups) and cell penetrating peptides. This modular approach allowed to evaluate the effect of the shell functional components on the physico-chemical particle characteristics and biological effects <em>in vitro</em>. The optimized ternary complex combines a core-dCS-LPEI/DNA complex with a shell consisting of dCS-PEG-COOH, which resulted in improved encapsulation of nucleic acid, accelerated cellular uptake, enhanced transfection efficiency, and superior transfection potency in human hepatoma HuH-7 cells and mouse primary hepatocytes. Effects on transgene expression are confirmed <em>in vivo</em> in wild-type mice following retrograde intrabiliary infusion. After administration to mice of only 100 ng complexed nanovector DNA, ternary complexes induce a high reporter gene signal for three days. We conclude that ternary core-shell structured particles comprising functionalized chitosan are a promising gene delivery technology for both <em>in vitro</em> as well as <em>in vivo </em>applications. The modular design will facilitate the development of chemically modified derivatives.</p>
Data from: Toxicity and magnetometry evaluation of the uptake of core-shell maghemite-silica nanoparticles by neuroblastoma cells
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Data from: The cell uptake properties and hyperthermia performance of Zn0.5 Fe 2.5O4 /SiO2 nanoparticles as magnetic hyperthermia agents
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Bulk RNA-seq of RSC96 Schwann cells after magnetic nanoparticle uptake and magnetic force stimulation
GEO Series GSE305996. Rattus norvegicus. 6 samples. Type: Expression profiling by high throughput sequencing.
Composition profile of gut microbiota uptaking plant-derived nanoparticles
GEO Series GSE229897. feces metagenome. 77 samples. Type: Other.
ZnO-nanoparticles induce changes in the expression of genes associated with stress responses in spinach (Spinacia oleracea) without affecting Zn uptake
GEO Series GSE72912. Spinacia oleracea. 6 samples. Type: Expression profiling by high throughput sequencing.
Nanoparticle Uptake in a Spontaneous and Immunocompetent Woodchuck Liver Cancer Model
GEO Series GSE147273. Marmota monax. 4 samples. Type: Expression profiling by high throughput sequencing.
Unbiased identification of nanoparticle cell uptake mechanism via a genome-wide CRISPR/Cas9 knockout screen
GEO Series GSE157524. Homo sapiens. 28 samples. Type: Other.
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