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16,682 results for “Lung.”
MALDI-MS raw files of primary human lung cancer samples, lung cancer patient derived xenografts and lung cancer mouse models
<p>Human primary lung cancer samples, patient derived lung cancer xenografts and lung tumors from the TetO-KRASG12D mouse model were analyzed using MALDI-MS. We determined the spatial distribution and relative abundance of lipids of interest. </p>
moFluMemB - Dataset : scRNA-seq from Lymph node, Spleen and Lung - 10x_191105_m_moFluMemB
<p><strong>Title</strong></p> <p>Viral infection engenders bona fide and bystander subsets of lung-resident memory B cells through a permissive mechanism<br><br><strong>Authors</strong><br>Claude Gregoire,1 Lionel Spinelli,1 Sergio Villazala-Merino,1 Laurine Gil,1 María Pía Holgado,1 Myriam Moussa,1 Chuang Dong,1 Ana Zarubica,2 Mathieu Fallet,1 Jean-Marc Navarro,1 Bernard Malissen,1,2 Pierre Milpied,1,* and Mauro Gaya1,*<br><br><strong>Affiliations</strong><br>1 Centre d'Immunologie de Marseille-Luminy (CIML), Aix Marseille Université, INSERM, CNRS, Marseille, France<br>2 Centre d'Immunophénomique (CIPHE), Aix Marseille Université, INSERM, CNRS, Marseille, France<br>* Correspondence: milpied@ciml.univ-mrs.fr (P.M.), gaya@ciml.univ-mrs.fr (M.G.)<br><br><strong>Summary</strong><br>Lung-resident memory B cells (MBCs) provide localized protection against reinfection in the respiratory airways. Currently, the biology of these cells remains largely unexplored. Here, we combined influenza and SARS-CoV-2 infection with fluorescent-reporter mice to identify MBCs regardless of antigen specificity. We found that two main transcriptionally distinct subsets of MBCs colonized the lung peribronchial niche after infection. These subsets arose from different progenitors and were both class-switched, somatically mutated and intrinsically biased in their differentiation fate towards plasma cells. Combined analysis of antigen-specificity and B cell receptor repertoire segregated these subsets into “bona fide” virus-specific MBCs and “bystander” MBCs with no apparent specificity for eliciting viruses and generated through an alternative permissive mechanism. Thus, diverse transcriptional programs in MBCs are not linked to specific effector fates but rather to divergent strategies of the immune system to simultaneously provide rapid protection from reinfection while diversifying the initial B cell repertoire.</p> <p><strong>Data:</strong> 10x_191105_m_moFluMemB_processedData.tar.gz : pre-processed data of 10x 5’ scRNA-Seq on memory B cells sorted from single-cell suspensions of spleen, lymph nodes and lungs with mechanical dissociation of lung tissue at 4°C.</p> <p>See the three other Zenodo deposit for the rest of the data:</p> <p><strong>10.5281/zenodo.5566674</strong></p> <p><strong>10.5281/zenodo.5564624</strong></p> <p><strong>10.5281/zenodo.10559312</strong></p>
moFluMemB - Dataset : scRNA-seq from Lymph node, Spleen and Lung - 10x_190712_m_moFluMemB
<p><strong>Title</strong></p> <p>Viral infection engenders bona fide and bystander subsets of lung-resident memory B cells through a permissive mechanism<br><br><strong>Authors</strong><br>Claude Gregoire,1 Lionel Spinelli,1 Sergio Villazala-Merino,1 Laurine Gil,1 María Pía Holgado,1 Myriam Moussa,1 Chuang Dong,1 Ana Zarubica,2 Mathieu Fallet,1 Jean-Marc Navarro,1 Bernard Malissen,1,2 Pierre Milpied,1,* and Mauro Gaya1,*<br><br><strong>Affiliations</strong><br>1 Centre d'Immunologie de Marseille-Luminy (CIML), Aix Marseille Université, INSERM, CNRS, Marseille, France<br>2 Centre d'Immunophénomique (CIPHE), Aix Marseille Université, INSERM, CNRS, Marseille, France<br>* Correspondence: milpied@ciml.univ-mrs.fr (P.M.), gaya@ciml.univ-mrs.fr (M.G.)<br><br><strong>Summary</strong><br>Lung-resident memory B cells (MBCs) provide localized protection against reinfection in the respiratory airways. Currently, the biology of these cells remains largely unexplored. Here, we combined influenza and SARS-CoV-2 infection with fluorescent-reporter mice to identify MBCs regardless of antigen specificity. We found that two main transcriptionally distinct subsets of MBCs colonized the lung peribronchial niche after infection. These subsets arose from different progenitors and were both class-switched, somatically mutated and intrinsically biased in their differentiation fate towards plasma cells. Combined analysis of antigen-specificity and B cell receptor repertoire segregated these subsets into “bona fide” virus-specific MBCs and “bystander” MBCs with no apparent specificity for eliciting viruses and generated through an alternative permissive mechanism. Thus, diverse transcriptional programs in MBCs are not linked to specific effector fates but rather to divergent strategies of the immune system to simultaneously provide rapid protection from reinfection while diversifying the initial B cell repertoire.</p> <p><strong>Data: 1</strong>0x_190712_m_moFluMemB_processedData.tar.gz : pre-processed data of 10x 5’ scRNA-Seq on memory B cells sorted from single-cell suspensions of spleen, lymph nodes and lungs with enzymatic digestion of lung tissue at 37°C.</p> <p>See the three other Zenodo deposit for the rest of the data:</p> <p><strong>10.5281/zenodo.5566674</strong></p> <p><strong>10.5281/zenodo.5565863</strong></p> <p><strong>10.5281/zenodo.10559312</strong></p>
Comprehensive assessment of postoperative mobility during the first days after mini-invasive lung surgery: A prospective observational study
<p><span>Study Objective</span><span>: </span><span>Postoperative physical therapy and early mobilization are major elements of </span><span>enhanced recovery after surgery. In contrast with supervised physical therapy sessions that can be monitored, self-mobilization is not easily quantifiable and has so far been estimated mainly through patient auto-reports. This study aimed to perform a comprehensive and objective evaluation of postoperative mobility.</span></p> <p><span>Design</span><span>: </span><span>Prospective observational study.</span></p> <p><span>Setting</span><span>: </span><span>Postoperative setting.</span></p> <p><span>Patients</span><span>: </span><span>Patients undergoing mini-invasive lung surgery.</span></p> <p><span>Interventions</span><span>: </span><span>Measurement of postoperative mobility during the five first postoperative days using an accelerometer (ActiGraph GT3X).</span></p> <p><span>Measurements</span><span>: </span><span>The primary outcome was the number of daily steps. Secondary outcomes included physical activity duration and intensity, sedentary time, number of breaks in sedentary time, sedentary patterns, daily evaluation by physiotherapists, postoperative complications, and acceptability of wearing the accelerometer. </span></p> <p><span>Main Results: </span><span>Sixty patients were included in the study, of whom 56 provided at least one day of valid accelerometry data. There was no significant change during the first four PODs concerning the number of daily steps nor the mean cadence. One-minute cadence peak, total activity counts, and duration of light-intensity physical activity increased over time (P = 0.032, P = 0.001 and P = 0.001, respectively). </span><span>Sedentary patterns changed favorably over time, with a decrease in prolonged sedentary bouts (≥ 60 consecutive min), and an increase in shorter bouts (< 10 min) (</span><span>P </span><span>< 0.001). Similar results were observed when analysis was adjusted for the day of the week when the surgery took place except for daily sedentary time (P = 0.055). The median acceptability of wearing the accelerometer was excellent (median 10 [9-10] on a 10-point Likert scale). Three patients had major complications. </span></p> <p><span>Conclusions: </span><span>Our findings suggest that daily steps may not be the most relevant indicator of early mobility following thoracic surgery and that accelerometry is suitable to follow patient's early postoperative activity.</span></p>
Lung microbiome in children with hematological malignancies and lower respiratory tract infections
<p><strong>Background</strong>: Respiratory infectious complications remain a major cause of morbidity and mortality in children with hematological malignancies. Knowledge regarding the lung microbiome in the aforementioned children is limited.</p> <p><strong>Methods</strong>: A prospective cohort was conducted, enrolling 16 children with hematological malignancies complicated with moderate to severe lower respiratory tract infections(LRTIs), versus 21 LRTIs children with age, gender, weight, infection severity matched, with no underlying malignancies, to evaluate the lung microbiome from bronchoalveolar lavage fluid samples in different groups.</p> <p><strong>Results</strong>: Lung microbiome from children with hematological malignancies and LRTIs showed obviously decreased α and β diversity, increased microbial function in infectious disease:bacteria/parasite, drug resistance:antimicrobial and human pathogenesis than the control group, and significantly reduced proportion of <em>Firmicutes</em>, <em>Bacteroidota</em>, <em>Actinobacteriota</em> , increased <em>Proteobacteria</em> at the phylum level, distinctly elevated <em>Parabacteroides</em>, <em>Klebsiella</em>, <em>Grimontia</em>, <em>Escherichia_Shigella</em>, <em>unclassified_Enterobacteriaceae</em> at the genus level than the control group. Besides, it was revealed that α diversity (Shannon), β diversity (Bray Curtis dissimilarity), Proteobacteria at the phylum level, and <em>unclassified_Enterobacteriaceae</em> and <em>Escherichia_Shigella</em> at the genus level were significantly negatively associated with hospitalization course, whereas <em>Firmicutes</em> at the phylum level was established positively correlated with hospitalization course.</p> <p><strong>Conclusions</strong>: Children with hematological malignancies and LRTIs showed obviously decreased α and β diversity, significantly increased function in infectious disease pathogenesis, antimicrobial drug resistance, and unfavorable environment tolerance. Besides, α diversity (Shannon), β diversity (Bray Curtis dissimilarity), <em>Proteobacteria</em> may be used as negatively correlated predictors for hospitalization course in these children whereas <em>Firmicutes</em> is a positively correlated predictor. </p>
Data from: Who is taking our roe deer's breath away? – Prevalence and promotive factors of lung parasites in roe deer (Capreolus capreolus) in southeast Germany
<p>The existence of bronchopulmonary nematodes in German roe deer (<em>Capreolus capreolus</em>) is well documented, with two types of lung parasites that have been described previously (<em>Dictyocaulus capreolus </em>and<em> Varestrongylus capreoli)</em>. However, little is known about the impact of these parasites on their host animal or which parameters influence outbreak and intensity of infection. The aim of this study was to obtain new information on the relevance of factors such as season, environmental conditions or age, sex, and body mass of the infected roe deer. To obtain our results, the respiratory tracts of 762 roe deer from south-eastern Germany were examined.</p> <p>In the sample, 42.5 % of roe deer were infested with <em>V. capreoli</em> and 14.0 % with <em>D. capreolus</em>, 51.3 % of animals were completely free of lung parasites. Testing for influencing variables, our regression models found both sex and age of the roe deer to statistically influence infestation, with male sex and younger age correlating with both stronger infestation and higher infestation rates. Accordingly, in male animals, the infestation rates with <em>V. capreoli</em> and <em>D. capreolus</em> (45.1 % and 20.1 %) were higher than in females (39.4 % and 8.0 %).</p> <p>The overall infestation rate of juvenile animals was remarkably higher (73 %) than those of sub-adults (38.3 %) or adults (28.4 %).</p> <p>Across all age groups, infested animals showed lower body weights compared to non-infested animals. According to our multiple linear regression model Roe deer infected with <em>D. capreolus</em> on average weighed 0.65 kg less than their healthy counterparts, in case of <em>V. capreoli</em> 0.72 kg less on average. While the burden on the well-being of infested animals can only be assumed, these concrete figures (reduced body weight in infested compared to healthy animals) demonstrate the economic damage lung parasites cause to meat harvesting from bagged roe deer.</p>
Mouse Lung dataset ComSeg
<p>Mouse lung dataset used to benchmark ComSeg in : A point cloud segmentation framework for image-based spatial transcriptomics, Defard et al. </p>
HDCA fetal lung spatial proteomics example datasets
<p>The data provided in this repository is published alongside <a href="https://doi.org/10.1101/2024.01.25.577163" target="_blank" rel="noopener noreferrer">this preprint</a> titled as 'High-parametric protein maps reveal the spatial organization in early-developing human lung' and <a href="https://github.com/CellProfiling/HDCA-FetalLung-SpatialProteomics" target="_blank" rel="noopener noreferrer">this code repository</a>. The preprint and GitHub repository provide further metadata and analysis information. When using the data in this repository, please cite the preprint under DOI: <a href="https://doi.org/10.1101/2024.01.25.577163" target="_blank" rel="noopener noreferrer">https://doi.org/10.1101/2024.01.25.577163</a>.</p>
Data from: Transcriptional profiling of lung macrophages following ozone exposure in mice identifies signaling pathways regulating immunometabolic activation
<p>Macrophages play a key role in ozone-induced lung injury by regulating both the initiation and resolution of inflammation. These distinct activities are mediated by pro-inflammatory and anti-inflammatory/pro-resolution macrophages which sequentially accumulate in injured tissues. Macrophage activation is dependent, in part, on intracellular metabolism. Herein, we used RNA-sequencing (seq) to identify signaling pathways regulating macrophage immunometabolic activity following exposure of mice to ozone (0.8 ppm, 3 hr) or air control. Analysis of lung macrophages using an Agilent Seahorse showed that inhalation of ozone increased macrophage glycolytic activity and oxidative phosphorylation at 24 and 72 hr post exposure. An increase in the percentage of macrophages in the S phase of the cell cycle was observed 24 hr post ozone. RNA-seq revealed significant enrichment of pathways involved in innate immune signaling and cytokine production among differentially expressed genes at both 24 and 72 hr after ozone, while pathways involved in cell cycle regulation were upregulated at 24 hr and intracellular metabolism at 72 hr. An interaction network analysis identified tumor suppressor 53 (TP53), E2F family of transcription factors (E2Fs), Cyclin Dependent Kinase Inhibitor 1A (CDKN1a/p21), and Cyclin D1 (CCND1) as upstream regulators of cell cycle pathways at 24 hr and TP53, nuclear receptor subfamily 4 group a member 1 (NR4A1/Nur77), and estrogen receptor alpha (ESR1/ERα) as central upstream regulators of mitochondrial respiration pathways at 72 hr. These results highlight the complex interaction between cell cycle, intracellular metabolism, and macrophage activation which may be important in the initiation and resolution of inflammation following ozone exposure.</p>
Analysis of public single-cell sequencing database of COVID lung samples
<p>Lung endothelial cells from three published scRNA-seq datasets (GSE122960, GSE149878, GSE171668) of healthy subjects and COVID-19 patients were collected for further integrative analyses. The endothelial cells were classified into three sub-groups according to their distinguished expression of IL7R, DKK2, and EDNRB. For differential analysis of gene expression, counts per million of aggregated UMIs in each group were adopted in Wilcoxon rank-sum test.</p>
Exploring NSD3 Driven Gene Expression Profiles in Lung Squamous Cell Carcinoma
<p><strong>SGC Open Notebook Project to Characterize the HMTase NSD3</strong></p> <p><strong>Exp026 Objective:</strong> NSD3 is frequently amplified as part of the 8p11-12 focal amplification in several types of cancer. Here we set out to explore the gene expression profiles of NSD3 amplified versus non-amplified lung squamous cancer samples from the TCGA. However, because this event takes place in the context of a focal amplification we will also compare samples with high versus low NSD3 expression. The goal of this experiment is to identify putative oncogenic signalling pathways NSD3 may regulate, as well as inform on the biological role of this protein in the context of gene expression. </p>
Simulated tracer-gas distribution in a multiscale model of the human lung during multiple-breath nitrogene washout
<p><em><strong>Content</strong></em></p> <p><strong>baseline:</strong></p> <ul> <li>inletFlow (ASCII format data for flow rate at the mouth in m^3/s, sampling frequency 1kHz)</li> <li>primary_results (ASCII format data table with four colums: time in seconds, N2 concentration (normalized), <em>empty </em>-1, pleural pressure in Pascal)</li> </ul> <p><strong>compliance modification (local):</strong></p> <ul> <li>inletFlow (format as in baseline)</li> <li>primary_results (format as in basline)</li> <li>duct: unstructured VTK mesh data of several scalar quantities (airway dimensino, pressure, N2 concentration, flow velocity) witin the airway network. Sampling frequency 50Hz (separat vtk-file for each timestep). <em>Inspect for instance with the VisIt (Lawrence Livermore National Laboratory) free visualization software.</em></li> <li>lobule: unstructured VTK mesh data of several scalar quantities (airway dimensino, pressure, N2 concentration, flow velocity) within the trumpet lobules.</li> </ul> <p><strong>compliance modification (regional):</strong></p> <ul> <li>inletFlow (format as in baseline)</li> <li>primary_results (format as in basline)</li> <li>duct: (same format as described above)</li> <li>lobule: (same format as described above)</li> </ul> <p><strong>size modification (regional):</strong></p> <ul> <li>inletFlow (format as in baseline)</li> <li>primary_results (format as in basline)</li> </ul> <p><strong>resistance modification (local):</strong></p> <ul> <li>inletFlow (format as in baseline)</li> <li>primary_results (format as in basline)</li> </ul> <p><strong>healthy controls (local):</strong></p> <ul> <li>inletFlow (format as in baseline)</li> <li>primary_results (format as in basline)</li> </ul>
Fig. 17 in An Atlas Of Book Lung Fine Structure In The Order Scorpiones (Arachnida)
Fig. 17. Book lung, posterior spiracle edge
Fig. 15 in An Atlas Of Book Lung Fine Structure In The Order Scorpiones (Arachnida)
Fig. 15. Book lung, lamellar surface (character
Identification of early genes in the pathophysiology of fibrotic interstitial lung disease in a new model of pulmonary fibrosis
<p>Some interstitial lung diseases involve pulmonary fibrosis, which is a process that is characterized by the excessive and abnormal accumulation of extracellular matrix in the pulmonary interalveolar space. Although the current anti-fibrotic therapy aims at slowing down the progression of pulmonary fibrosis, it does not reverse it, and many of the drugs that were identified in basic-research studies failed in clinical phases, mainly because of the lack of a model that can recapitulate the pathophysiological mechanisms of human pulmonary fibrosis. We developed a novel experimental model of pulmonary fibrosis induced by a cocktail of molecules on an air/liquid interface culture of mouse embryonic lung explants. Histological analyses revealed a pattern of usual interstitial pneumonia, the worst-prognosis form of pulmonary fibrosis. We performed a transcriptomics analysis at the single-cell level after the induction of fibrosis and before any histological signs of fibrosis could be observed. The results revealed increased expression of several gene families that are involved in early inflammation, fibrosis and iron homeostasis, as well as potential new genetic targets.</p> <p>This Zenodo repository includes original datasets of single cell RNA sequencing, analysis R scripts, final dataset/markers, and HTML codes for the interactive 3D UMAP and VolcanoPlot.</p>
Assessment of changes in circRNA expression based on transcripts of genes encoding ADAMTS proteins in patients with non-small cell lung carcinoma compared to normal tissue
Open the record for dataset details and reuse information.
Ex vivo modeling of precision immuno-oncology responses in lung cancer
<p>Single-cell RNA-sequencing (scRNA-seq) data from paired lung cancer organoids and immune cells. The experiment was performed using the Single Cell 5' solution of 10X Genomics. </p> <p>The dataset includes 15 samples from 4 multiplexed experiments. The multiplexing was performed using the Feature Barcoding technology of 10X Genomics.</p> <table> <tbody> <tr> <td><strong>Sample name</strong></td> <td><strong>Multiplexed experiment</strong></td> <td><strong>Donor<br></strong></td> <td><strong>Hashtag name</strong></td> <td><strong>Description</strong></td> </tr> <tr> <td>1-PBMCs_lung-19</td> <td>PBMCs_demux</td> <td>Lung-19</td> <td>Hashtag_1</td> <td>Untreated, baseline PBMCs for Lung-19</td> </tr> <tr> <td>2-PBMCs_lung-35</td> <td>PBMCs_demux</td> <td>Lung-35</td> <td>Hashtag_2</td> <td>Untreated, baseline PBMCs for Lung-35</td> </tr> <tr> <td>3-PBMCs_Lung-25</td> <td>PBMCs_demux</td> <td>Lung-25</td> <td>Hashtag_3</td> <td>Untreated, baseline PBMCs for Lung-25</td> </tr> <tr> <td>4-T_cells_Lung-19</td> <td>PBMCs_demux</td> <td>Lung-19</td> <td>Hashtag_4</td> <td>Tumor-stimulated immune cells for Lung-19</td> </tr> <tr> <td>5-T_cells_Lung-35</td> <td>PBMCs_demux</td> <td>Lung-35</td> <td>Hashtag_5</td> <td>Tumor-stimulated immune cells for Lung-35</td> </tr> <tr> <td>6-T_cells_Lung-25</td> <td>PBMCs_demux</td> <td>Lung-25</td> <td>Hashtag_6</td> <td>Tumor-stimulated immune cells for Lung-25</td> </tr> <tr> <td>1-Lung-19_tumor_cells</td> <td>Tumor_cells_1_demux</td> <td>Lung-19</td> <td>Hashtag_1</td> <td>Tumor cells alone for Lung-19</td> </tr> <tr> <td>2-Lung-35_T_tumor_cells</td> <td>Tumor_cells_1_demux</td> <td>Lung-35</td> <td>Hashtag_2</td> <td>Tumor cells alone for Lung-35</td> </tr> <tr> <td>3-Lung-25_tumor_cells</td> <td>Tumor_cells_1_demux</td> <td>Lung-25</td> <td>Hashtag_3</td> <td>Tumor cells alone for Lung-25</td> </tr> <tr> <td>1-Lung-19_tumor_cells_T_cells</td> <td>Tumor_cells_2_demux</td> <td>Lung-19</td> <td>Hashtag_7</td> <td>Tumor cells and ts-immune cells for Lung-19</td> </tr> <tr> <td>2-Lung-35_T_tumor_cells_T_cells</td> <td>Tumor_cells_2_demux</td> <td>Lung-35</td> <td>Hashtag_8</td> <td>Tumor cells and ts-immune cells for Lung-35</td> </tr> <tr> <td>3-Lung-25_tumor_cells_T_cells</td> <td>Tumor_cells_2_demux</td> <td>Lung-25</td> <td>Hashtag_9</td> <td>Tumor cells and ts-immune cells for Lung-25</td> </tr> <tr> <td>1-Lung-19_tumor_cells_T_cells_Nivolumab</td> <td>Tumor_cells_3_demux</td> <td>Lung-19</td> <td>Hashtag_10</td> <td>Tumor cells and ts-immune cells + Nivolumab for Lung-19</td> </tr> <tr> <td>2-Lung-35_T_tumor_cells_T_cells_Nivolumab</td> <td>Tumor_cells_3_demux</td> <td>Lung-35</td> <td>Hashtag_12</td> <td>Tumor cells and ts-immune cells + Nivolumab for Lung-35</td> </tr> <tr> <td>3-Lung-25_tumor_cells_T_cells_Nivolumab</td> <td>Tumor_cells_3_demux</td> <td>Lung-25</td> <td>Hashtag_13</td> <td>Tumor cells and ts-immune cells + Nivolumab for Lung-25</td> </tr> </tbody> </table> <p>This Zenodo repository provides:</p> <ul> <li>Processed RNA-seq and hashtag oligo sequencing (HTO-seq) data (<em>feature_bc_matrices.zip</em>)</li> <li>Hashtag names and sequences (<em>Custom_CMO_set.csv</em>), which are needed to rerun Cellranger</li> <li>Seurat v5 objects (<em>seurat_object_all_tumor_cells.rds, seurat_object_all_immune_cells.rds, seurat_object_PBMCs_demux.rds</em>)</li> </ul> <p>This Zenodo repository does <strong>not </strong>provide:</p> <ul> <li>Sensitive raw sequencing data</li> <li>Sensitive metadata</li> </ul> <p>The raw data generated from the scRNA sequencing is available at the European Genome-phenome Archive (EGA; <a href="https://ega-archive.org">https://ega-archive.org</a>) under accession number EGAD50000000845.</p> <div> <div> <p> </p> <p><strong>To cite our work</strong>:</p> </div> Bassel Alsaed <em>et al.</em> Ex vivo modeling of precision immuno-oncology responses in lung cancer.<em>Sci. Adv.</em><strong>10</strong>,eadq6830(2024).DOI:<a href="https://doi.org/10.1126/sciadv.adq6830">10.1126/sciadv.adq6830</a></div>
2D Electrial Impedance Tomography - Porcine model of Acute Lung Injury - PEEP trial
<p>This is an Electrical Impedance Tomography (EIT) dataset of a porcine model of acute lung injury (ALI), performing positive end-expiratory pressure (PEEP) trials in order to find 'optimal' PEEP.</p> <p>The data constist of 8 pigs with 2 measurements each, once before ALI and once after ALI induciton.</p> <p>Data is present as the *.bin format exported from Dräger Pulmovista V500 software. It can be read and analysed using the ALIVE eitprocessing software. </p>
Machine readable code lists for an algorithm to identify incident non-small cell lung cancer (NSCLC) in United States healthcare claims data
<p>Machine readable code lists for an algorithm to identify incident non-small cell lung cancer (NSCLC) in United States healthcare claims data</p>
HINC dataset from: Homeopathic treatment as an add-on therapy may improve quality of life and prolong survival in patients with non-small cell lung cancer: A prospective, randomized, placebo-controlled, double-blind, three-arm, multicenter study
<p class="CxSpFirst"><b>Background:</b> Patients with advanced non-small cell lung cancer (NSCLC) have limited treatment options. Alongside conventional anticancer treatment, additive homeopathy might help to alleviate side effects of conventional therapy. The aim of the present study was to investigate whether additive homeopathy might influence quality of life (QoL) and survival in NSCLC patients.</p> <p class="CxSpMiddle"><b>Methods:</b> In this prospective, randomized, placebo-controlled, double-blind, three-arm, multicenter, phase III study, we evaluated the possible effects of additive homeopathic treatment compared with placebo in NSCLC stage IV patients with respect to QoL in the two randomized groups and survival time in all three groups. Treated patients visited the outpatients' centers every 9 weeks. 150 Patients with stage IV NSCLC were included in the study. 98 received either individualized homeopathic remedies (n=51) or placebo (n=47) in a double-blinded fashion. 52 control patients without any homeopathic treatment were observed for survival only. The constituents of the different homeopathic remedies were mainly of plant, mineral or animal origin. The remedies were manufactured by stepwise dilution and succussion, thereby preparing stable Good Manufacturing Practice grade formulations.</p> <p class="CxSpMiddle"><b>Results:</b> QoL as well as functional and symptom scales showed significant improvement in the homeopathy group when compared with placebo after 9 and 18 weeks of homeopathic treatment (p<0.001). Median survival time was significantly longer in the homeopathy group (435 days) vs placebo (257 days; p=0.010) as well as vs control (228 days; p<0.001). Survival rate in the homeopathy group differed significantly from placebo (p=0.020) and from control (p<0.001).</p> <p class="CxSpMiddle"><b>Conclusion:</b> QoL improved significantly in the homeopathy group compared with placebo. In addition, survival was significantly longer in the homeopathy group versus placebo and control. A higher QoL might have contributed to the prolonged survival. The study suggests that homeopathy positively influences not only QoL but also survival. Further studies including other tumor entities are warranted.</p>
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.