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1,422 results for “Cytokines”
Supporting data for: Type 1 diabetes risk genes mediate pancreatic beta cell survival in response to proinflammatory cytokines
<p><strong>SUMMARY OF THE STUDY</strong></p> <p>We combined functional genomics and human genetics to investigate processes that affect type 1 diabetes (T1D) risk by mediating beta-cell survival in response to proinflammatory cytokines. We mapped 38,931 cytokine-responsive candidate <em>cis-</em>regulatory elements (cCREs) in beta-cells using ATAC-seq and snATAC-seq and linked them to target genes using co-accessibility and HiChIP. Using a genome-wide CRISPR screen in EndoC-βH1 cells we identified 867 genes affecting cytokine-induced survival, and genes promoting survival and up-regulated in cytokines were enriched at T1D risk loci. Using SNP-SELEX, we identified 2,229 variants in cytokine-responsive cCREs altering transcription factor (TF) binding, and variants altering binding of TFs regulating stress, inflammation and apoptosis were enriched for T1D risk. At the 16p13 locus, a fine-mapped T1D variant altering TF binding in a cytokine-induced cCRE interacted with <em>SOCS1</em>, which promoted survival in cytokine exposure. Our findings reveal processes and genes acting in beta-cells during inflammation that modulate T1D risk.</p> <p><strong>DESCRIPTION OF FILES:</strong></p> <ul> <li>Supplementary Data 1. List of islet cCREs annotated with cell type and cytokine response - also in GSE205853</li> <li>Supplementary Data 2. Coaccessible sites in untreated beta cells and promoter annotations - also in GSE205853</li> <li>Supplementary Data 3. Coaccessible sites in cytokine-treated beta cells and promoter annotations - also in GSE205853</li> <li>Supplementary Data 4. Coaccessible sites in cytokine treated and untreated beta cells and promoter annotations - also in GSE205853</li> <li>Supplementary Data 5. Chromatin interactions in EndoC-BH1 cells - also in GSE205853</li> <li>Supplementary Data 6. Variants selected for SNP-SELEX assay </li> <li>Supplementary Data 7. Variants with TF binding and allelic binding results from SNP-SELEX</li> <li>Supplementary Data 8. snATAC-seq barcodes and metadata - also in GSE205853</li> <li>Supplementary Data 9. CRISPR-KO screen results - also in GSE205853</li> <li>Supplementary Data 10. Bulk ATAC-seq count matrix - also in GSE205853</li> <li>Supplementary Data 11. Bulk RNA-seq count matrix - also in GSE205853</li> <li>Supplementary Data 12. Alpha cells snATAC-seq count matrix - also in GSE205853</li> <li>Supplementary Data 13. Acinar cells snATAC-seq count matrix - also in GSE205853</li> <li>Supplementary Data 14. Beta cells snATAC-seq count matrix - also in GSE205853</li> <li>Supplementary Data 15. Stellate cells snATAC-seq count matrix - also in GSE205853</li> <li>Supplementary Data 16. Endothelial cells snATAC-seq count matrix - also in GSE205853</li> <li>Supplementary Data 17. Delta cells snATAC-seq count matrix - also in GSE205853</li> <li>Supplementary Data 18. Luciferase assay rs10483809</li> <li>Supplementary Data 19. SOCS1 knockdown qPCR results</li> <li>Supplementary Data 20. SOCS1 knockdown Apotracker (flow-cytometry)results</li> </ul> <p><strong>Raw data deposited at GEO, accessions GSE205853 and GSE118725.</strong></p> <p><em>Please refer to publication and GEO for details on methods.</em></p>
RT-qPCR dCT values of TLRs, NLRs and cytokines
<p>RT-qPCR dCt values of macrophages incubated with three <em>Lb. plantarum</em> strains. Values are normalized to the expression levels of ß-actin; of NLRs (<em>Nod1</em> and <em>Nod2</em>), TLRs (<em>Tlr2</em>, <em>Tlr4</em>, <em>Tlr5</em>, and <em>Tlr9</em>) and cytokines (<em>Ifn-</em><em>g</em>, <em>Il-10</em>, <em>Il</em>-6 and <em>Tnf-</em><em>a</em>)</p>
Supporting transcriptomic data and code for: "Rapid and dose-dependent Natural Killer (NK) cell modulation and cytokine correlations after human rVSV-ZEBOV Ebolavirus vaccination"
<p>The counts_NK.csv file contains gene expression data (counts) for genes in the Ion Ampliseq human Gene expression kit panel. Data were obtained from whole blood RNA. Subjects were vaccinated with a high dose of the rVSV-ZEBOV vaccine against Ebola virus disease in the Geneva clinical trial.</p> <p>The Descriptive_Table_NK_2.csv contains descriptive data of the subjects for differential expression analysis.</p> <p>The NK_analysis_code.R file contains the code used for analysis.</p>
Raw data for Kierdorf et al, "Muscle function and homeostasis require cytokine inhibition of AKT activity in Drosophila"
<p>This upload contains the raw data corresponding to the publication "Muscle function and homeostasis require cytokine inhibition of AKT activity in Drosophila" by Katrin Kierdorf et al., eLife 2020.</p>
THE ROLE OF HOMOCYSTEINE AS A BIOMARKER OF CYTOKINE STORM IN IMMUNOONCOLOGY AND THERAPY OF COVID-19
<p>Homocysteine is a sulfur-containing amino acid that can act as an important biomarker of inflammatory processes, including cytokine storm, observed in various pathological conditions such as cancer and COVID-19. In the conditions of the cytokine storm characteristic of severe forms of COVID-19 and progressive stages of cancer, elevated homocysteine levels can increase oxidative stress and inflammatory reactions, which, in turn, exacerbates tissue and organ damage. Studies show that homocysteine can play a significant role in the pathogenesis of these conditions, affecting the vascular and immune systems. Thus, monitoring of homocysteine levels is important for the diagnosis, prognosis and development of new therapeutic strategies in the field of immuno-oncology and treatment of COVID-19.</p>
Figure 2. Serum IL-6 in Wound-healing and cytokine-modulating potential of medicinal oil formulation comprising leaf extract of Murraya koenigii and olive oil
Figure 2. Serum IL-6 level of treatment groups. *The level of IL-6 enhanced 154% when compared to Group 1; #The level of IL-6 declined 38.86% when compared to Group 2; $The level of IL-1β declined 48.3% when compared to Group 2.
Figure 4. A in Wound-healing and cytokine-modulating potential of medicinal oil formulation comprising leaf extract of Murraya koenigii and olive oil
Figure 4. A comparative wound healing study. (A1) Control animals, Dorsal view of wound on the 3rd day after creating wound; (A2) Dorsal view of the wound after treating with povidone-iodine solution (PIS) on 3rd day; (A3) Dorsal view of the wound after treating with medicinal oil (MO) on 3rd day; (B1) Control animals, Dorsal view of wound on the 6th day after creating wound; (B2) Dorsal view of the wound after treating with povidone-iodine solution (PIS) on 6th day; (B3) Dorsal view of the wound after treating with medicinal oil (MO) on 6th day; (C1) Control animals, Dorsal view of wound on the 9th day after creating wound; (C2) Dorsal view of the wound after treating with povidone-iodine solution (PIS) on 9th day; (C3) Dorsal view of the wound after treating with medicinal oil (MO)on 9th day.
Figure 3 in Wound-healing and cytokine-modulating potential of medicinal oil formulation comprising leaf extract of Murraya koenigii and olive oil
Figure 3. Serum TNF- α level of treatment groups. *The level of TNF- α enhanced 215% when compared to Group 1; #The level of TNF- α declined 39.25% when compared to Group 2; $The level of IL-1β declined 50% when compared to Group 2.
Structure of PROSS_edited human cytokine IL-24 - diffraction data
<p>Structure of PROSS_edited human cytokine IL-24 - diffraction data</p>
Dateset related to article "Cytokines as potential biomarkers of disease clinical course in muscular dystrophies "
<p>This database includes a comprehensive profile of circulating pro- and anti-inflammatory molecules (cytokines, chemokines and growth factors) obtained from a group of 53 patients with muscular laminopathy, 10 with non-muscular laminopathy, 22 with other muscular disorders and 35 healthy controls. Data obtained by Luminex multiple immune-assay identify TGF-b2, IL-17 and G-CSF as potential biomarkers in discriminating between muscle-related laminopathy and healthy subjects. The different expression of IL-1b, IL-4 and IL-8 among the different forms of laminopathy provides a new hint for the understanding of the pathogenic mechanisms underlying the diverse phenotypes caused by <em>LMNA</em> mutations.</p>
Cystine/glutamate antiporter system Xc- deficiency impairs macrophage glutathione metabolism and cytokine production.
<p>Raw Data for Publication "Cystine/glutamate antiporter system Xc- deficiency impairs macrophage glutathione metabolism and cytokine production."</p>
Study to Assess the Efficacy and Safety of Ruxolitinib in Patients With COVID-19 Associated Cytokine Storm
ClinicalTrials.gov study NCT04362137. IPD Sharing: YES. Countries: 12. Publications: 1.
Microbial surveillance verses cytokine responsiveness in native and non-native house sparrows
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Data from: Behavioural infection tolerance of malaria is negatively correlated with pro-inflammatory cytokine expression in the brain of an invasive songbird
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Single-cell RNA sequencing of human salivary gland derived mesenchymal stromal cells under cytokine treatment conditions
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ekoraytascilar/naturecommunicationscovid: Data and analysis code to accompany "Patients with immune-mediated inflammatory diseases receiving cytokine inhibitors have low prevalence of SARS-CoV-2 seroconversion"
<p>This release contains raw datasets and analysis code for the research paper titled "Patients with immune-mediated inflammatory diseases receiving cytokine inhibitors have low prevalence of SARS-CoV-2 seroconversion"</p>
Dataset for "Takahama, M., Patil, A., Richey, G. et al. A pairwise cytokine code explains the organism-wide response to sepsis. Nat Immunol 25, 226–239 (2024)."
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Exprimental Data:Caspase-11 non-canonical inflammasome mediates the expression of proinflammatory cytokines in murine macrophages infected with leptospira interrogans.
<p>This is the exprimental data of manuscripts submitted in ALL LIFE magazine. The title is Caspase-11 non-canonical inflammasome mediates the expression of proinflammatory cytokines in murine macrophages infected with leptospira interrogans.)</p>
Gut metabolome and cytokine profiling of MSM prior to and following HIV seroconversion
<p>Alterations in the gut microbiome have been associated with HIV infection, but the relative impact of HIV versus other factors on the gut microbiome has been difficult to determine in cross-sectional studies. To address this, we examined the gut microbiome, serum metabolome, and cytokines longitudinally within individuals before and after HIV seroconversion. We identified few changes in the microbiome following HIV infection, but greater differences including decreased Bacteroides were seen between pre-HIV infection visits compared to matched controls. Those who acquired HIV also had elevated inflammatory cytokines and bioactive lipids prior to HIV acquisition compared to matched controls. Following HIV seroconversion, alterations in serum metabolites involving secondary bile acid metabolism and amino acid metabolism were observed. These data highlight the importance of understanding the role of the microbiome in HIV susceptibility.</p>
Data from: Stimulation-induced cytokine polyfunctionality as a dynamic concept
<p>Cytokine polyfunctionality is a well-established concept in immune cells, especially T cells, and their ability to concurrently produce multiple cytokines has been associated with better immunological disease control and subsequent effectiveness during infection and disease. To date, only little is known about the secretion dynamics of those cells, masked by the widespread deployment of mainly time-integrated endpoint measurement techniques that do not easily differentiate between concurrent and sequential secretion. Here, we employed a single-cell microfluidic platform capable of resolving secretion dynamics of individual PBMCs. To study the dynamics of poly-cytokine secretion, as well as the dynamics of concurrent and sequential polyfunctionality, we analyzed the response at different time points after <em>ex vivo </em>activation. Firstly, we observed simultaneous secretion of cytokines over the measurement time for most stimulants in a subpopulation of cells only. Secondly, polyfunctionality generally decreased with prolonged stimulation times and revealed no correlation with the concentration of secreted cytokines in response to stimulation. However, we observed a general trend towards higher cytokine secretion in polyfunctional cells, with their secretion dynamics being distinctly different from mono-cytokine secreting cells. This study provided insights into the distinct secretion behavior of heterogenous cell populations after stimulation with well-described agents and such a system could provide better understanding for various immune dynamics in therapy and disease.</p>
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