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414 results for “BCG”

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zenodo40/100

A fungal-derived adjuvant amplifies the antitumoral potency of BCG

<p>A repository of data for the mouse single-cell multiome (RNA+ATAC) dataset of lineage negative bone marrow samples pre- and post- treatment BCG or b-glucan treated mice.</p>

opencc-by-4.0May 2024View details →
zenodo40/100

Dataset: Binah Capital Group, Inc. (BCG) Stock Performance

This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.

opencc-zeroJun 2024View details →
zenodo40/100

The influence of the gut microbiome on BCG-induced trained immunity

<p>This repository contains the code to reproduce the analysis in the study investigating the effects of gut microbiota on Bacillus Calmette-Guerin (BCG) vaccination of 321 healthy Dutch individuals. The results are presented in the paper</p> <p><em>The influence of the gut microbiome on BCG-induced trained immunity</em></p> <p>by</p> <p>Martin Stražar, Vera P. Mourits, Valerie A.C.M. Koeken, L. Charlotte J. de Bree, Simone J.C.F.M. Moorlag, Leo A.B. Joosten, Reinout van Crevel, Hera Vlamakis, Mihai G. Netea, Ramnik J. Xavier</p> <p>(2021)</p> <p>&nbsp;</p> <p>The bacillus Calmette-Gu&eacute;rin (BCG) vaccine protects against tuberculosis and heterologous infections but elicits high interindividual variation in specific and nonspecific (trained) immune responses. While the gut microbiome is increasingly recognized as an important modulator of vaccine responses and immunity in general, its potential role in BCG-induced protection is largely unknown.&nbsp;</p> <p>Stool and blood were collected from 321 healthy adults before BCG vaccination, followed by blood sampling two weeks and three months afterwards. Metagenomics based on de novo genome assembly revealed 43 immunomodulatory taxa. The nonspecific, trained immune response was detected by altered production of cytokines IL-6, IL-1&beta;, and TNF-&alpha; upon ex vivo blood restimulation with Staphylococcus aureus and negatively correlated with abundance of Roseburia. The specific response, measured by IFN-&gamma; production upon Mycobacterium tuberculosis stimulation, was associated positively with Ruminococcus and Eggerthella lenta. The immunomodulatory taxa identified also had the strongest effects on circulating metabolites, with Roseburia predominantly affecting phenylalanine metabolism. This was corroborated by abundances of relevant enzymes, suggesting alternate phenylalanine metabolism modules are activated in a Roseburia species-dependent manner.&nbsp;</p> <p><br> Variability in cytokine production after BCG vaccination was associated with the abundance of microbial genomes, which in turn affect or produce metabolites in circulation. Roseburia was found to alter both trained immune responses and phenylalanine metabolism, revealing microbes and microbial products that may alter BCG-induced immunity. Together, our findings contribute to the understanding of specific and trained immune responses after BCG vaccination.</p> <p>The analysis and dataset details are further described in README.md and&nbsp;<a href="https://gitlab.com/xavier-lab-computation/public/bcg300">https://gitlab.com/xavier-lab-computation/public/bcg300</a> .</p>

openmit-licenseDec 2020View details →
zenodo40/100

ATAC-seq analysis for intravesical BCG in bladder cancer

<p>BCG vaccination can boost innate immune responses via trained immunity (TI), resulting in an increased resistance to respiratory viral infections.&nbsp; Assay for transposase accessible chromatin (ATAC), including tagmentation, library preparation and sequencing were performed by Genewiz (Azenta Life Sciences, MA, USA) on PBMCs from two BCG-treated NMIBC patients at baseline and during BCG (mid) as well as from three healthy donors.&nbsp; This dataset include the pipeline for preprocessing of raw data including mapping to the hg38 reference genome using bowtie2 and peak calling by MACS2. Differentially accessible regions in proximity to annotated genes between the two time points (during BCG versus baseline) were identified using the R packages csaw and edgeR and resulting data files are provided.</p> <p>&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Apr 2023View details →
zenodo40/100

Hand-BCG & SCG signals dataset

<p><strong>General description</strong></p> <p>This repository contains Ballistocardiogram signals collected from multiple users while they were holding a mobile phone in hand and Seismocardiogram signals collected with the phone placed on their chest.</p> <p>It consists of 3 different datasets made up of multiple recordings from a total of 272 different users. The main characteristics of these datasets are given below.</p> <p>+---------------+-------------+-------------+-----------------+------------------------------+-----------------------+--------------------+------------+-----------+<br> |&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; | Loc.&nbsp; &nbsp; &nbsp;&nbsp;&nbsp; | # users&nbsp;&nbsp; | Age range&nbsp; | # sessions per user | session length | Phone&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; | Acc. Fs | Gyr. Fs |<br> +---------------+-------------+-------------+-----------------+------------------------------+-----------------------+--------------------+------------+-----------+<br> | Dataset A | Hand&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; | 112&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; | 20-60&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; | 10&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; | 30s&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; | Samsung S8 | 100 Hz | 500 Hz |<br> +---------------+-------------+-------------+-----------------+------------------------------+-----------------------+--------------------+------------+-----------+<br> | Dataset B | Hand&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; | 105&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; | 20-32&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; | 1&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; | 30s&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; | Google Pixel&nbsp; | 50 Hz&nbsp;&nbsp;&nbsp; | 400 Hz |<br> +---------------+-------------+-------------+-----------------+------------------------------+-----------------------+--------------------+------------+-----------+<br> | Dataset C | Chest&nbsp;&nbsp;&nbsp;&nbsp; | 55&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; | 19-52&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; | 4&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; | 30s&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; | Google Pixel&nbsp; | 50 Hz&nbsp;&nbsp;&nbsp; | 400 Hz |<br> +---------------+-------------+-------------+-----------------+------------------------------+-----------------------+--------------------+------------+-----------+</p> <p>&nbsp;</p> <p><strong>Content of each dataset</strong></p> <p>Each dataset is made up of multiple files, with each file corresponding to a given measurement session.</p> <p>The name of a given file indicates some metadata about the measurement session itselft. It is assigned based on the following template: &lt;UserId&gt;-&lt;Gender&gt;-&lt;Age&gt;yrs-&lt;SignalLength&gt;_&lt;Year&gt;-&lt;Month&gt;-&lt;Day&gt;_&lt;Hour&gt;-&lt;Minute&gt;-&lt;Seconds&gt;.csv</p> <p>The content of the file itself corresponds to the sensor readings collected during the measurement session. It is a collection of timestamped sensor values, reported in a comma-separated format. The first column represent the timestamp of the sensor event (in nanoseconds), the second one the type of the considered sensor and the 3 following ones the actual values along the different axis. Please refer to the official Android SensorEvent documentation for more details.</p>

opencc-by-4.0Aug 2021View details →
zenodo36/100

Multi-omics analysis of innate and adaptive responses to BCG vaccination reveals epigenetic cell states that predict trained immunity

<p>This repository contains personal immune profiles of 323 healthy individuals (300BCG) subjected to Bacillus Calmette-Gu&eacute;rin (BCG) with blood samples collected immediately before (day 0), and 14 and 90 days after the vaccination. The personal immune profiles comprise:</p> <ul> <li>immune cell concentrations measured with flow cytometry and a hematology analyzer</li> <li>plasma concentrations of 73 circulating inflammatory markers</li> <li>30 measurements of cytokine and lactate production capacity of peripheral blood mononuclear cells (PBMCs) in response to four microbial stimuli (Candida albicans, Escherichia coli lipopolysaccharide [LPS], Staphylococcus aureus, Mycobacterium tuberculosis).</li> </ul> <p>Visit <a href="http://300BCG.bocklab.org/">http://300BCG.bocklab.org/</a> to learn more.</p>

opencc-by-4.0Jan 2024View details →
zenodo36/100

Self-adjuvanting Nanovaccines Boost Lung-resident CD4+ T Cell Immune Responses in BCG-primed mice

<p>The &quot;readcount_genename.xls&quot; file and &quot;fpkm_genename.xls&quot; file contain&nbsp;gene expression data for genes (gene list is detailed in &quot;gene.xls&quot;) in the panel. All data were obtained from bone marrow derived dendritic cells from WT C57BL/6 mice treated with KFE8 nanofibers or mock. All RNA sequencing and subsequent processing was performed by Novogene Corporation.</p> <p>The remaining .xls files contain the differential&nbsp;expression analysis for KFE8 nanofiber treatment at four hours compared with mock (NF4vsC4) or KFE8 nanofiber treatment at sixteen hours compared with mock (NF16vsC16).</p> <p>The &quot;pathway analysis Rcode.R&quot; file contains the code used to generate Reactome pathway analysis for both time points.&nbsp;</p> <p>The &quot;NF16 volc Rcode.R&quot; file contains the code used to generate a volcano plot for the 16 hour time point.&nbsp;</p>

opencc-by-4.0Jan 2022View details →
dryad36/100

Data from: Safety and efficacy of BCG re-vaccination in relation to COVID-19 morbidity in healthcare workers: A double-blind, randomised, controlled, phase 3 trial

<p>Morbidity and mortality attributable to COVID-19 is devastating global health systems and economies. Bacillus Calmette Guérin (BCG) vaccination has been in use for many decades to prevent severe forms of tuberculosis in children. Studies have also shown a combination of improved long-term innate or trained immunity (through epigenetic reprogramming of myeloid cells) and adaptive responses after BCG vaccination, which leads to non-specific protective effects in adults. Observational studies have shown that countries with routine BCG vaccination programs have significantly less reported cases and deaths of COVID-19, but such studies are prone to significant bias and need confirmation. To date, in the absence of direct evidence, WHO does not recommend BCG for the prevention of COVID-19. This project aims to investigate in a timely manner whether and why BCG-revaccination can reduce infection rate and/or disease severity in health care workers during the SARS-CoV-2 outbreak in South Africa. </p> <p>These objectives will be achieved with a blinded, randomised controlled trial of BCG revaccination versus placebo in exposed front-line staff in hospitals in Cape Town. Observations will include the rate of infection with COVID-19 as well as the occurrence of mild, moderate or severe ambulatory respiratory tract infections, hospitalisation, need for oxygen, mechanical ventilation or death. HIV-positive individuals will be excluded. Safety of the vaccines will be monitored. A secondary endpoint is the occurrence of latent or active tuberculosis. Initial sample size and follow-up duration is at least 500 workers and 52 weeks. Statistical analysis will be model-based and ongoing in real time with frequent interim analyses and optional increases of both sample size or observation time, based on the unforeseeable trajectory of the South African COVID-19 epidemic, available funds and recommendations of an independent data and safety monitoring board. The study will be supported by a novel 3D lung organoid model of SARS-CoV-2 infection system that can mimic the cascade of immunological events after SARS-CoV-2 infection to determine and analyse the contribution of cellular components to the impact of BCG revaccination in this study.</p> <p>Given the immediate threat of the SARS-CoV-2 epidemic the trial has been designed as a pragmatic study with highly feasible endpoints that can be continuously measured. This allows for the most rapid identification of a beneficial outcome that would lead to immediate dissemination of the results, vaccination of the control group and outreach to the health authorities to consider BCG vaccination for all qualifying health care workers.</p>

opencc-zeroJul 2024View details →
ClinicalTrials.gov36/100

Atezolizumab in Treating Patients With Recurrent BCG-Unresponsive Non-muscle Invasive Bladder Cancer

ClinicalTrials.gov study NCT02844816. IPD Sharing: UNDECIDED. Countries: 2. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov36/100

Safety and Immunogenicity of AERAS-402 in HIV-infected, Bacillus Calmette-Guerin (BCG)-Vaccinated Adults

ClinicalTrials.gov study NCT01017536. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov36/100

Phase I Study of Intralesional Bacillus Calmette-Guerin (BCG) Followed by Ipilimumab in Advanced Metastatic Melanoma

ClinicalTrials.gov study NCT01838200. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov36/100

Evaluation of Safety, Immunogenicity, and Prevention of TB With AERAS-404 and BCG Revaccination in Healthy Adolescents

ClinicalTrials.gov study NCT02075203. IPD Sharing: NO. Countries: 1. Publications: 2.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov36/100

Can Earlier BCG Vaccination Reduce Early Infant Mortality? A Randomised Trial

ClinicalTrials.gov study NCT02504203. IPD Sharing: Not stated. Countries: 1. Publications: 5.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov36/100

Aerosol BCG Challenge Study in Historically BCG-vaccinated Volunteers

ClinicalTrials.gov study NCT04777721. IPD Sharing: Not stated. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov36/100

Pembrolizumab and BCG Solution in Treating Patients With Recurrent Non-Muscle-Invasive Bladder Cancer

ClinicalTrials.gov study NCT02808143. IPD Sharing: Not stated. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov36/100

A Study of Erdafitinib Versus Investigator Choice of Intravesical Chemotherapy in Participants Who Received Bacillus Calmette-Guérin (BCG) and Recurred With High Risk Non-Muscle-Invasive Bladder Cance

ClinicalTrials.gov study NCT04172675. IPD Sharing: YES. Countries: 17. Publications: 1.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov36/100

ADSTILADRIN (=INSTILADRIN) in Patients With High-Grade, Bacillus Calmette-Guerin (BCG) Unresponsive Non-Muscle Invasive Bladder Cancer (NMIBC)

ClinicalTrials.gov study NCT02773849. IPD Sharing: NO. Countries: 1. Publications: 2.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov36/100

Intravesical GEM/DOCE for HR BCG-Unresponsive NMIBC

ClinicalTrials.gov study NCT07322263. IPD Sharing: NO. Countries: 1. Publications: 26.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov36/100

Analyzing the Urine During BCG Instillation in Bladder Cancer Patients for Disease Followup

ClinicalTrials.gov study NCT06153849. IPD Sharing: NO. Countries: 1. Publications: 5.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov36/100

Study of Bacillus Calmette-Guerin (BCG) Combined With PANVAC Versus BCG Alone in Adults With High Grade Non-Muscle Invasive Bladder Cancer Who Failed At Least 1 Course of BCG

ClinicalTrials.gov study NCT02015104. IPD Sharing: NO. Countries: 1. Publications: 3.

closedIPD-NOFeb 2026View details →

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dandi-nwb
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