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10,735 results for “dependability”
LiaR-dependent gene expression contributes to antimicrobial responses in group A Streptococcus [ChIP-seq]
GEO Series GSE268862. Streptococcus pyogenes. 6 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
4E-BP1-dependent translation in microglia controls mechanical hypersensitivity
GEO Series GSE254472. Mus musculus. 12 samples. Type: Other.
Chromatin remodeler SPLAYED maintains the balance of miR156 dependent developmental pathways in Arabidopsis
GEO Series GSE104665. Arabidopsis thaliana. 6 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
The phosphorylation of FOXA1-S331 is indispensable for FOXA1-AR dependent cistrome [Cut&Tag]
GEO Series GSE232123. Homo sapiens. 6 samples. Type: Other.
Loss of NOTCH2 Creates a TRIM28-Dependent Vulnerability in Small Cell Lung Cancer [ChIP-seq]
GEO Series GSE297358. Homo sapiens; Mus musculus. 29 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Targeting SUMOylation dependency in human cancer stem cells through a unique SAE2 motif revealed by chemical genomics
GEO Series GSE160551. Homo sapiens. 4 samples. Type: Expression profiling by array.
Genotype-dependent gene expression in barley
GEO Series GSE33393. Hordeum vulgare. 24 samples. Type: Expression profiling by array.
RB1 Loss Triggers Dependence on ESRRG in Retinoblastoma
Retinoblastoma (Rb) is a deadly childhood eye cancer that is classically initiated by inactivation of the RB1 tumor suppressor. Clinical management continues to rely on nonspecific chemotherapeutic agents that are associated with treatment resistance and toxicity. Here, we analyzed whole exomes from primary Rb tumors to identify novel Rb dependencies. Several recurrent genomic aberrations implicate estrogen-related receptor gamma (ESRRG) in Rb pathogenesis. ESRRG is an essential mediator of hypoxic adaptation and cell survival in retinoblastoma, representing a promising new therapeutic target.
The dying parent and dependent children. Survey data for hospice and palliative care support services in the UK
<p>SPSS data set</p>
On the Threat of npm Vulnerable Dependencies in Node.js Applications
<p><strong>PAPER ABSTRACT</strong></p> <p>Software vulnerabilities have a large negative impact on the software systems that we depend on daily. Reports on software vulnerabilities always paint a grim picture, with some reports showing that 83% of organizations depend on vulnerable software. However, our experience leads us to believe that, in the grand scheme of things, these software vulnerabilities may have less impact than what is reported. Therefore, we perform a study to better understand the threat of npm vulnerable packages used in Node.js applications. We define three threat levels for vulnerabilities in packages, based on their lifetime, where a package vulnerability is assigned a low threat level if it was hidden or still unknown at the time it was used in the dependent application (t), medium threat level if the vulnerability was reported but not yet published at t, and high if it was publicly announced at t. Then, we perform an empirical study involving 6,673 real-world, active, and mature open source Node.js applications. Our findings show that although 67.93% of the examined applications depend on at least one vulnerable package, 94.91% of the vulnerable packages in those affected applications are classified as having low threat. Moreover, we find that in the case of vulnerable packages classified as having high threat, it is the application's lack of updating that makes them vulnerable, i.e., it is not the existence of the vulnerability that is the real problem. Furthermore, we verify our findings at different stages of the application's lifetime and find that our findings still hold. Our study argues that when it comes to software vulnerabilities, things may not be as bad as they seem and that considering vulnerability threat is key.</p> <p><strong>THE PACKAGE CONTAINS THE FOLLOWING:</strong></p> <ol> <li>The data of the studied Node.js applications.</li> <li>The data of the npm vulnerable packages (advisories).</li> <li>The data of version releases for the npm vulnerable packages.</li> <li>The scripts used for analyzing the data.</li> </ol>
A soil moisture-dependent model to simulate water table depth and proportions of surface and subsurface runoff and its validation at basin scale
<p>The data is the simulations of the SMD-model, Sy-mdoel, adn Noah-MP in three basins in China and the USA. The vaiables are monthly water table depth, soil moisture, subsurface and total runoff. </p>
Temperature Dependent External Quantum Efficiency, Electroluminescence and Open-Circuit Voltage of Organic Small Molecule-Fullerene Bulk Heterojunction Solar Cells
<p>temperature dependent spectroscopy data of small-molecule donor:fullerene acceptor solar cells</p> <p>* photovoltaic external quantum efficiency</p> <p>* electroluminescence emission</p> <p>* open-circuit voltage</p>
Dataset accompanying publication: "Modulation of Cortical Oscillations by Low-Frequency Direct Cortical Stimulation is State-Dependent"
<p>The mat file consists of the following Matlab variables</p> <ol> <li><strong>Electrode Distance</strong>: 3 x 1 cell array containing the arrays (trial x electrode) of distance from stimulating electrode to recording electrode for the three ECoG participants. (First array corresponds to P001, Second array corresponds to P005 and Third array corresponds to P008)</li> <li><strong>Spectra_Electrode_EC</strong>: 3 x 1 cell array consisting of nTrial x nFreq x nChannels x nEpochs matrices for each subject’s eyes-closed experiment. nTrial corresponds to number of trials, nFreq corresponds to frequencies at which spectral power is calculated, nChannels corresponds to number of electrodes in the analysis and nEpochs corresponds to “Before Stimulation”, “During Stimulation” and “After Stimulation” epochs.</li> <li><strong>Spectra_Electrode_EO</strong>: 3 x 1 cell array consisting of nTrial x nFreq x nChannels x nEpochs matrices for each subject’s eyes-open experiment. The dimensions are the same as above. The first array consists of task-engaged dataset from Participant P001.</li> <li><strong>MI_Summary</strong>: 8 x 1 cell array consisting of 3 x 1 cell arrays of modulation indexes for the three participants. The 8 arrays stand for the modulation indexes in different epochs and different frequencies. Refer <strong>MI_Summary_Names</strong></li> <li><strong>MI_Summary_Names</strong>: 8 x 1 cell array consisting of strings denoting the arrays in <strong>MI_Summary</strong>. <strong>During</strong> in text corresponds to “During Stimulation” epoch and <strong>After</strong> corresponds to “After Stimulation” epoch.</li> <li><strong>f</strong>: Frequencies at which spectral power was estimated.</li> </ol>
A water-table-dependent net warming effect of global wetlands from potent greenhouse gases
<p>A database of the annual greenhouse gase fluxes across global wetlands. In total, the database comprised 2,455 observations of annual net ecosystem exchange of CO<sub>2 </sub>(NEE; net gaseous CO<sub>2</sub> exchange between land and atmosphere), 2,342 observations of annual CH<sub>4 </sub>fluxes and 850 observations of annual N<sub>2</sub>O fluxes.</p>
EWSR1-ATF1 dependent 3D connectivity regulates oncogenic and differentiation programs in Clear Cell Sarcoma
<p><strong>Chimeric proteins resulting from chromosomal translocations play a major role as driver oncogenes in cancer. Among them, fusions between EWSR1 and transcription factors (TFs) generate oncogenes with powerful chromatin regulatory activities, capable of establishing complex gene expression programs.</strong><strong> Specific fusion partners are implicated in distinct tumor types, suggesting that the oncogenic activity of EWSR1 fusions is determined by their DNA binding properties and the chromatin environment of precursor cells</strong><strong>. Here we combined functional epigenomics with nuclear topology mapping to define the epigenetic and 3D connectivity landscape of Clear Cell Sarcoma (CCS), one of the most aggressive forms of human cancer, which is driven by the </strong><em><strong>EWSR1-ATF1</strong></em><strong> fusion gene. We find that </strong><strong>EWSR1-ATF1 displays a distinctive DNA binding pattern that depends on the EWSR1 prion-like domain and is divergent from wild type ATF1. </strong><strong>EWSR1-ATF1 promotes ATF1 retargeting to new distal sites, leading to chromatin activation and the establishment of a 3D network that controls oncogenic and differentiation signatures shared with primary CCS tumors. Conversely, EWSR1-ATF1 depletion results in a marked </strong><strong>reconfiguration of 3D connectivity</strong><strong>, including the emergence of a new set of connections controlling neural crest-related developmental programs. Accordingly, interrogation of more than 160’000 single cell expression profiles from the human skin atlas reveals that loss of EWSR1-ATF1 expression induces a differentiated cell state that resembles cells in the Schwann cell-melanocytic axis. Taken together, our study uncovers the cooperativity network of EWSR1-ATF1, delineates the molecular underpinnings of its epigenetic function in CCS, and points to precursor cells in the neural crest lineage as candidate cells of origin for these tumors. </strong></p>
Do the remodeling effects of sacubitril/valsartan treatment depend upon heart failure duration?
<p>Aims The angiotensin receptor and neprilysin inhibitor (ARNI) sacubitril/valsartan (LCZ696) is recommended for the treatment of patients with heart failure in New York Heart Association (NYHA) class II–III and left ventricular ejection fraction (LVEF) 35% or less. We examined the effects of sacubitril/valsartan on cardiac remodeling and their correlation with heart failure duration in patients enrolled in our heart failure clinic from March 2017 to December 2019. <br> Methods Echocardiographic and clinical/laboratory data were collected at baseline and at 6-month and 12-month follow-up visits in 69 patients (age 67+/-12 years, disease duration 8.4W5.8 years, 93% men).<br> Results At both time points, mean NYHA class, NT-proBNP level, LVEF, LV end-systolic volume, and estimated systolic pulmonary pressure significantly (P<0.05) improved versus baseline, as did the proportion of patients with diastolic dysfunction grade 3 or functional mitral regurgitation grade 3–4. In the subgroup with mean disease duration less than 8.5 years (n = 40), there was a significant improvement in all variables at both time points; in this group, a recovery of right ventricular function was also seen at the 12-month follow-up. On the contrary, patients with heart failure duration of at least 8.5 years (n=29) showed only a slight improvement in LVEF and mitral regurgitation at 12 months. There were no significant changes in renal function and/or potassium levels in all patients. <br> Conclusion In patients with a relatively short disease duration, sacubitril/valsartan was associated with a strong favorable remodeling of the left ventricle and improvement in pulmonary circulation.</p>
Representative rheological curves of temperature-dependent sol-gel transition of autoclaved chitosan with sterile filtered β-glycerophosphate
<p>Supplementary Figure: Representative rheological curves of temperature-dependent sol-gel transition of autoclaved chitosan with sterile filtered β-glycerophosphate (CS-βGP; molar ratio 1:4.88). Measurement of the storage modulus (G’) and loss modulus (G’’) during a temperature range.</p>
Structural distortion of β-cyclodextrin plays a key role for the pH-dependent host-guest chemistry with doxorubicin, evident by electrochemical and molecular dynamics approach
<p>β-cyclodextrin (β-CD) is the potential drug carrier to deliver antitumor drugs like doxorubicin<br> (DOX). However, the mechanism for the inclusion complex formation is still unclear and<br> needs to be explored. This study investigated the effect of pH on the inclusion of DOX into<br> thiolated β-CD (β-CD-SH) by electrochemical and molecular dynamics (MD) simulation.<br> The electrochemical study shows a clear difference at different pH. The redox peak due to the<br> DOX is strongly influenced by pH. At neutral pH, the peak intensity decreases with time,<br> while slight variation is observed at acidic and basic pH. Depicting the association of DOX to<br> the β-CD-SH cavity at neutral pH. Also, due to the association, the charge transfer resistance<br> variation increased with time at neutral pH, decreased at basic and acidic pH. The<br> electrochemical study was further supported by MD simulation, suggesting that the<br> cyclodextrins ring gets slightly elongated due to the flipping of glucose units,<br> specifically at neutral pH leads to a strong association. Also, another significant result<br> observed that the DOX forms an inclusion complex with β-CD-SH in quinol conformation,<br> not in quinone. Briefly, the study provides the necessary molecular binding information for<br> designing an effective β-CD based targeted drug delivery system.</p>
Dataset related to article: "Time-dependent effect of GLP-1 receptor agonists on cardiovascular benefits: a real-world study"
<p>This record contains data related to article "<strong>Time-dependent effect of GLP-1 receptor agonists on cardiovascular benefits: a real-world study" </strong></p><p>Background: Glucagon-like peptide-1 receptor agonists (GLP-1 RAs) have shown cardiovascular benefits in cardiovascular outcome trials in type 2 diabetes mellitus. However, the most convincing evidence was obtained in subjects with established cardiovascular (CV) disease. We analyzed the determinants of GLP-1 RA-mediated CV protection in a real-world population of persons with type 2 diabetes with and without a history of CV events with long-term follow-up.</p><p>Methods: Retrospective cohort study of 550 individuals with type 2 diabetes (395 in primary CV prevention, 155 in secondary CV prevention), followed at a single center after the first prescription of a GLP-1 RA between 2009 and 2019. CV and metabolic outcomes were assessed.</p><p>Results: Median duration of follow-up was 5.0 years (0.25-10.8) in primary prevention and 3.6 years (0-10.3) in secondary prevention, with a median duration of treatment of 3.2 years (0-10.8) and 2.5 years (0-10.3) respectively. In the multivariable Cox regression model considering GLP-1 RA treatment as a time-dependent covariate, in the primary prevention group, changes in BMI and glycated hemoglobin did not have an impact on MACE risk, while age at the time of GLP-1 initiation (HR 1.08, 95% CI 1.03-1.14, p = 0.001) and GLP-1 RA cessation by time (HR 3.40, 95% CI 1.82-6.32, p < 0.001) increased the risk of MACE. Regarding the secondary prevention group, only GLP-1 RA cessation by time (HR 2.71, 95% CI 1.46-5.01, p = 0.002) increased the risk of MACE. With respect to those who withdrew treatment, subjects who continued the GLP-1 RA had significantly greater weight loss and lower glycated hemoglobin levels during follow-up.</p><p>Conclusions: In this real-world type 2 diabetes population, discontinuation of GLP-1 RA treatment was associated to a higher risk of major cardiovascular events, in both subjects with and without a history of CV events.</p><p> </p>
Elucidating the spectroscopic and physicochemical properties for a pH-dependent glyphosate structure from a computational perspective
<p>Input and output library of the article.</p>
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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.