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64 results for “cell cytoplasm”
In vitro cell cycle oscillations exhibit a robust and hysteretic response to changes in cytoplasmic density
<p>Cells control the properties of the cytoplasm to ensure proper functioning of biochemical processes. Recent studies showed that cytoplasmic density varies in both physiological and pathological states of cells undergoing growth, division, differentiation, apoptosis, senescence, and metabolic starvation. Little is known about how cellular processes cope with these cytoplasmic variations. Here, we study how a cell cycle oscillator comprising cyclin-dependent kinase (Cdk1) responds to changes in cytoplasmic density by systematically diluting or concentrating cycling <em>Xenopus</em> egg extracts in cell-like microfluidic droplets. We found that the cell cycle maintains robust oscillations over a wide range of deviations from the endogenous density: as low as 0.2× to more than 1.22× relative cytoplasmic density (RCD). A further dilution or concentration from these values arrested the system in a low or high steady state of Cdk1 activity, respectively. Interestingly, diluting an arrested cytoplasm of 1.22× RCD recovers oscillations at lower than 1× RCD. Thus, the cell cycle switches reversibly between oscillatory and stable steady states at distinct thresholds depending on the direction of tuning, forming a hysteresis loop. We propose a mathematical model which recapitulates these observations and predicts that the Cdk1/Wee1/Cdc25 positive feedback loops do not contribute to the observed robustness, supported by experiments. Our system can be applied to study how cytoplasmic density affects other cellular processes.</p>
Рис. 7. Варианты преΑсказанной Αоменной структуры моΛекуΛ аΑгезии гемоцитов моΛΛюсков Planorbarius corneus. УсΛовные обозначения и сокращения: 1–3 — β-интегрины, 4–5 — α-интегрины, 6–7 — сеΛектины, 8–11 — моΛекуΛы семейства САМ (сell adhesiom molecues), INB — субъеΑиницы β-интегрина, IntegrinBcyt — цитопΛазматический Αомен β-интегрина, CY — цистатинопоΑобный Αомен, Int alpha — Αомен α-интегрина, FN3 — Αомен фибронектина типа 3, CCP — Αомен контроΛя компΛемента Fig. 7. Variants of the predicted domain structure of adhesion molecules from hemocytes of Planorbarius corneus molluscs. Symbols and abbreviations: 1–3 — β-integrins, 4–5 — α–integrins, 6–7 — selectins, 8–11 — molecules of the СAM family (cell adhesion molecules), INB — β-integrin subunits, IntegrinBcyt — cytoplasmic domain of β-integrin, CY — cystatin-like domain, Int alpha — α-integrin domain, FN3 — fibronectin type 3 domain, CCP — complement control protein domain in Pathogen recognition molecules from hemocytes of Planorbarius corneus molluscs (Planorbidae, Pulmonata)
Рис. 7. Варианты преΑсказанной Αоменной структуры моΛекуΛ аΑгезии гемоцитов моΛΛюсков Planorbarius corneus. УсΛовные обозначения и сокращения: 1–3 — β-интегрины, 4–5 — α-интегрины, 6–7 — сеΛектины, 8–11 — моΛекуΛы семейства САМ (сell adhesiom molecues), INB — субъеΑиницы β-интегрина, IntegrinBcyt — цитопΛазматический Αомен β-интегрина, CY — цистатинопоΑобный Αомен, Int alpha — Αомен α-интегрина, FN3 — Αомен фибронектина типа 3, CCP — Αомен контроΛя компΛемента Fig. 7. Variants of the predicted domain structure of adhesion molecules from hemocytes of Planorbarius corneus molluscs. Symbols and abbreviations: 1–3 — β-integrins, 4–5 — α–integrins, 6–7 — selectins, 8–11 — molecules of the СAM family (cell adhesion molecules), INB — β-integrin subunits, IntegrinBcyt — cytoplasmic domain of β-integrin, CY — cystatin-like domain, Int alpha — α-integrin domain, FN3 — fibronectin type 3 domain, CCP — complement control protein domain
In vitro cell cycle oscillations exhibit a robust and hysteretic response to changes in cytoplasmic density
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Diffusion of nanoparticles in the cell cytoplasm
<p>In Etoc 2018, we presented the diffusive behavior inside the cytosol of living cells for different kind of nanometric sized nanoparticles. We showed that the passivation of the particles is the main parameter that regulate the diffusion properties of particles smaller than 70nm not only in Hela cells but also in RPE1 and MSC cells.</p> <p>Here we open the data for the MSC cells.</p> <p>Experiments consists in the recording of small subregions of the cytoplasm located at the periphery of the cell.</p> <p>A README file is included in the archive with the recording parameters.</p> <p>DATA were recorded by Elie BALLOUL</p> <p>Scripts were written by Mathieu COPPEY, Fred ETOC and modified by Elie BALLOUL.(to use polyfit instead of ezyfit)</p> <p>We also make available the scripts that we used to generate the maps.</p> <p>Some functions were found in Matlab Central and their corresponding license is in their respective folders.</p>
Fluorescence Microscopy Images of Hela Cell infected with Plasmodium Berghei parasite expressing mCherry in cytoplasm
<p>The purpose of our experiments was to delve into the liver stage development of the P. berghei parasite and examine the host-parasite interactions using HeLa cells. This research is primarily focused on in vitro analysis and does not extend to in vivo applications. Our study investigated the integration of fluorescent microscopy with artificial intelligence to <br>track and predict the developmental milestones of Plasmodium liver stage development. </p> <p>This is the dataset used in our study.</p>
White Blood Cells with cytoplasm and surrounding red blood cells
<p>This dataset is taken from doi:10.17632/w7cvnmn4c5.1 and is used for segmentation of irregular shaped white blood cells in 2D. We also provide dataset for cytoplasm and we trained StarDist and UNET models to be applied in the VollSeg setting on this dataset.</p>
The role of cell-envelope synthesis for envelope growth and cytoplasmic density in Bacillus subtilis
<p>All cells must increase their volumes in response to biomass growth to maintain intracellular mass density within physiologically permissive bounds. Here, we investigate the regulation of volume growth in the Gram-positive bacterium <em>Bacillus subtilis</em>. To increase volume, bacteria enzymatically expand their cell envelopes and insert new envelope material. First, we demonstrate that cell-volume growth is determined indirectly, by expanding their envelopes in proportion to mass growth, similarly to the Gram-negative <em>Escherichia coli</em>, despite their fundamentally different envelope structures. Next, we studied, which pathways might be responsible for robust surface-to-mass coupling: We found that both peptidoglycan synthesis and membrane synthesis are required for proper surface-to-mass coupling. However, surprisingly, neither pathway is solely rate-limiting, contrary to wide-spread belief, since envelope growth continues at a reduced rate upon complete inhibition of either process. To arrest cell-envelope growth completely, the simultaneous inhibition of both envelope-synthesis processes is required. Thus, we suggest that multiple envelope-synthesis pathways collectively confer an important aspect of volume regulation, the coordination between surface growth and biomass growth.</p>
The role of cell-envelope synthesis for envelope growth and cytoplasmic density in Bacillus subtilis
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Local nuclear to cytoplasmic ratio regulates H3.3 incorporation via cell cycle state during zygotic genome activation
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Datasets generated for the manuscript: The basement membrane regulates the cellular localization and the cytoplasmic interactome of Yes-Associated Protein (YAP) in mammary epithelial cells
<p><strong>File proteinGroups-CoIP-Yap1:</strong> Dataset of co-Immunoprecipitation followed of Yes-associated protein (YAP) followed by proteomics to identify YAP interactants.</p> <p><strong>File Gene_set_file_YAP: </strong>Gene sets used for gene set enrichment analysis.</p> <p><strong>Files enrichr_x: </strong>output of the EnrichR tool</p>
Data from: Specific membrane capacitance, cytoplasm conductivity and instantaneous Young's modulus of single tumour cells
As label-free biomarkers, biophysical properties of cells are widely used for cell type classification. However, intrinsic biophysical markers, e.g. specific membrane capacitance (Cspecific membrane), cytoplasm conductivity (σconductivity) and instantaneous Young's modulus (Einstantaneous) measured for hundreds of single cells were not yet reported. In this study, single cells in suspension (adherent cells treated with trypsin) were aspirated through a microfluidic constriction channel at 25°C, and the entry processes and impedance profiles were recorded and translated to Cspecific membrane, σconductivity and Einstantaneous. Cspecific membrane, σconductivity and Einstantaneous of five cell types were quantified as 2.10±0.38 μF/cm2, 0.91±0.15 S/m and 5.52±0.95 kPa for H460 cells (ncell=437); 2.52±0.54 μF/cm2, 0.83±0.12 S/m and 5.54±1.04 kPa for H446 cells (ncell=410); 2.45±0.57 μF/cm2, 0.99±0.18 S/m and 5.16±1.68 kPa for A549 cells (ncell=442); 1.86±0.31 μF/cm2, 1.07±0.18 S/m and 3.86±0.81 kPa for 95D cells (ncell=415); 2.03±0.35 μF/cm2, 0.99±0.16 S/m and 3.49±0.70 kPa for 95C cells (ncell=290). The database of Cspecific membrane, σconductivity and Einstantaneous may serve as a reference for future studies of cellular biophysical properties.
Data from: Specific membrane capacitance, cytoplasm conductivity and instantaneous Young’s modulus of single tumour cells
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Data from: Characterization of cytoplasmic viscosity of hundreds of single tumor cells based on micropipette aspiration
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The diarrheal pathogen Cryptosporidium parvum exports proteins into the cytoplasm of the infected host cell
GEO Series GSE174117. Homo sapiens. 12 samples. Type: Expression profiling by high throughput sequencing.
Reversible internalization of cytoplasm into the nucleus in senescent cells
GEO Series GSE242719. Mus musculus. 55 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
DNA:cytoplasm ratio defines an upper limit to cell size [array]
GEO Series GSE111075. Saccharomyces cerevisiae; Saccharomyces cerevisiae W303. 8 samples. Type: Expression profiling by array.
A complex with poly(A) binding protein cytoplasmic 1 and EWS facilitates oncogenic ETS transcription factor function in prostate cells
GEO Series GSE226472. Homo sapiens. 2 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
A conserved abundant cytoplasmic long noncoding RNA modulates repression of mRNAs by Pumilio proteins in human cells
GEO Series GSE79804. Homo sapiens. 26 samples. Type: Expression profiling by high throughput sequencing.
RNA sequestration in cytoplasmic condensates regulates cell identity (ncRNA-Seq)
GEO Series GSE255485. Homo sapiens; Mus musculus. 24 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Cytoplasmic and nuclear fractionation from HEK293T cells
GEO Series GSE195493. Homo sapiens. 4 samples. Type: Other.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.