Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Public data extends TB surveillance

ABSTRACT: Publicly available whole-genome sequencing data supports TB surveillance

PROVIDER: PRJEB35201 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	ERR3639700_1.fastq.gz	Fastqsanger.gz
	ERR3639700_2.fastq.gz	Fastqsanger.gz
	ERR3639710_1.fastq.gz	Fastqsanger.gz
	ERR3639710_2.fastq.gz	Fastqsanger.gz
	ERR3639720_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 262

Similar Datasets

Project description:Curated publicly available nanopore datasets

| PRJNA932454 | ENA

Mycobacterium tuberculosis associated with severe tuberculosis evades cytosolic surveillance systems and modulates IL-1β production

Project description:Tuberculosis (TB) remains a deadly disease. The genetic diversity of Mycobacterium tuberculosis was neglected in the past, but is increasingly recognized as a determinant of immune responses and clinical outcomes of TB. However, how this bacterial diversity orchestrates immune responses to direct differences in TB severity remains unknown. We studied 681 patients with pulmonary TB and found that phylogenetically related M. tuberculosis isolates from cases with mild disease induced robust cytokine responses in macrophages. In contrast, isolates associated with severe TB cases failed to do so. Using representative isolates, we show that M. tuberculosis inducing a low cytokine response in macrophages also diminished activation of cytosolic surveillance systems, including cGAS and the inflammasome, suggesting a novel mechanism of immune escape. Isolates exhibiting this evasion strategy carried mutations in various components of the ESX-I secretion system. We conclude that host interactions with different M. tuberculosis strains results in variable TB severity.

2020-02-26 | GSE138580 | GEO

Mahasa2016-tumor–immune surveillance

Project description:We present a novel mathematical model involving various immune cell populations and tumor cellpopulations. The model describes how tumor cells evolve and survive the brief encounter with theimmune system mediated by natural killer (NK) cells and the activated CD8þcytotoxic T lymphocytes(CTLs). The model is composed of ordinary differential equations describing the interactions betweenthese important immune lymphocytes and various tumor cell populations. Based on up-to-dateknowledge of immune evasion and rational considerations, the model is designed to illustrate how tu-mors evade both arms of host immunity (i.e.innate and adaptive immunity). The model predicts that(a) an influx of an external source of NK cells might play a crucial role in enhancing NK-cell immunesurveillance; (b) the host immune system alone is not fully effective against progression of tumor cells;(c) the development of immunoresistance by tumor cells is inevitable in tumor immune surveillance. Ourmodel also supports the importance of infiltrating NK cells in tumor immune surveillance, which can beenhanced by NK cell-based immunotherapeutic approaches.

2020-03-20 | MODEL2003040001 | BioModels

Project description:WTCCC project Tuberculosis (TB) samples

| EGAD00000000016 | EGA

SERUM DATA FILES EMI TB PROTEOMICS

Project description:Five complete TMT10plex labellings including active TB patients and infected and uninfected contacts

2019-04-01 | MSV000083645 | MassIVE

Gene expression profiles of caseous human pulmonary TB granulomas derived from TB patients

Project description:Most individuals infected with Mycobacterium tuberculosis can control the infection by forming and maintaining TB granulomas at the local infection foci. However, when the chronic infection (also known as latency) becomes active, the caseous center of TB granuloma enlarges, and it liquefies and cavitates, ultimately releasing bacilli into airway. Deciphering how genes are regulated within TB granulomas will help to understand the granuloma biology. Therefore, we performed genome-wide microarray on caseous human pulmonary TB granulomas and compared with normal lung tissues.

2010-06-02 | GSE20050 | GEO

Project description:TB

| PRJEB7522 | ENA

A lysosomal surveillance response that extends healthspan

Project description:A lysosomal surveillance response that extends healthspan

| PRJNA803026 | ENA

ExpressionData - A public resource of high quality datasets representing gene expression across tissues, conditions, diseases and genotypes.

Project description:Reference datasets are often used to compare, interpret or validate experimental data and analytical methods. In the field of gene expression, a dozen reference datasets have been published. Typically, they consist of individual baseline or spike-in experiments carried out in a single laboratory and representing a particular set of conditions. For most organisms, however, few or no such reference datasets are publicly available. Here, we describe a new type of datasets highly representative for the spatial, temporal and response dimensions of gene expression. They result from integrating expression data from a large number of globally normalized and quality controlled public experiments and aggregating results by anatomical parts, stages of development, perturbations, drugs, diseases, neoplasms, and genotypes. The proposed datasets were created for human and several model organisms and are publicly available at www.expressiondata.org.

2013-05-15 | GSE44938 | GEO

Hepatic transcriptome of pulmonary TB infection.

Project description:Pulmonary tuberculosis (TB) generates chronic systemic inflammation and metabolic dysregulation. The liver is the master regulator of metabolism and to determine the impact of pulmonary TB on this organ we undertook unbiased mRNA analyses of the liver in mice with TB. Pulmonary TB led to upregulation of genes in the liver related to interferon signalling and glycolysis, and downregulation of genes encoding gluconeogenesis rate-limiting enzyme

2024-09-17 | GSE273691 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data