Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Comparative analysis of gene expression between PBMCs from TB patients and healthy individuals.

ABSTRACT: Total RNA from PBMCs isolated from TB patients and healthy individuals was subjected to RNASeq analysis. The samples among two groups were compared to analyze differentially expressed genes.

ORGANISM(S): Homo sapiens

PROVIDER: GSE148171 | GEO | 2020/12/31

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

Gene expression of PBMCs is altered during TB infection.

Project description:Total RNA from PBMCs isolated from TB patients and healthy individuals was subjected to RNASeq analysis. The samples among two groups were compared to analyze differentially expressed genes.

2022-09-01 | GSE198557 | GEO

Comparative analysis of gene expression between PBMCs from TB patients and healthy individuals.

Project description:Comparative analysis of gene expression between PBMCs from TB patients and healthy individuals.

| PRJNA623374 | ENA

Quantitative Analysis of lncRNAs expression profiles between TB patients and healthy controls

Project description:To evaluate whether TB infections are associated with any lncRNA signatures in humans, we therefore used human lncRNAs microarray and hierarchical clustering analyses to compare lncRNAs expression in active TB patients and healthy controls. From 15,683 denoted lncRNAs, 5076 lncRNAs were identified to be differentially expressed (TB/HC > 2 or TB/HC< 0.5) in peripheral blood mononuclear cells (PBMCs) between TB and healthy subjects.

2021-02-10 | GSE125870 | GEO

PPD stimulated PBMCs from tuberculosis patients, latent infectious individuals and healthy controls.

Project description:Comprehensively compare the transcriptional difference in PPD stimulated PBMCs from individuals with different tuberculosis infectious status: tuberculosis patients, latent infectious individuals and healthy controls using the microarray analysis. Two-condition experiment, PBMCs vs. PPD-PBMCs. 12 individuals: 4 TB patients, 4 latent infectious individuals and 4 healthy controls.

2012-09-19 | E-GEOD-27984 | biostudies-arrayexpress

Genome-wide mRNA profiling of PBMCs from TB patients (TB) and healthy controls (HC)

Project description:Transcriptome microarray analysis was conducted to examine the gene expression profiling of PBMCs from active TBs and HCs. All 18,853 mRNAs in the microarray were used to draw a Heatmap of differential genes according to their expression levels. The genes that exhibited significant changes in expression were used for further validation. The TB group (n=15) exhibited a significantly different profile compared to the HC (n=15) group (Fig. 1a). A total of 1,595 differentially expressed mRNAs were identified between the two groups. Of these, 335 mRNAs were up-regulated (fold change ≥ 2), and 1,260 mRNAs were down-regulated (fold change ≥ 2).

2021-11-17 | GSE149458 | GEO

Expression data of lncRNAs and mRNAs extracted from PBMCs of tuberculosis patients and healthy individuals[HTA2.0]

Project description:Tuberculosis (TB) is the ninth leading cause of death worldwide and the leading cause from a single infectious agent, ranking above HIV/AIDS.Although considerable advances have been achieved in recent years, the genetic and molecular mechanisms underlying this disease remain largely unclear. In the present research, we used the Affymetrix GeneChip Human Transcriptome Array 2.0 to investgate the profiles of differentially expressed lncRNAs and mRNAs from the peripheral blood mononuclear cells (PBMCs) of 7 TB patients and 5 healthy controls (HC).

2018-08-29 | GSE119143 | GEO

Genome-wide mRNA profiling of PBMCs from TB patients (TB) and healthy controls (HC)

Project description:Genome-wide mRNA profiling of PBMCs from TB patients (TB) and healthy controls (HC)

| PRJNA628710 | ENA

PPD stimulated PBMCs from tuberculosis patients, latent infectious individuals and healthy controls.

2012-09-19 | GSE27984 | GEO

Comparative miRNA Expression Profiles in Individuals with Latent and Active Tuberculosis

Project description:To study the role of miRNAs in the transition from latent to active TB and to discover candidate biomarkers that may help predict TB progression, we have employed miRNA microarray expression profiling as a discovery platform to probe the transcriptome of peripheral blood mononuclear cells (PBMCs) with active TB, latent TB infection (LTBI), and healthy donors.Patients were recruited at the Shanghai Public Health Clinical Centre (Shanghai, China) from December, 2008 to May, 2009. The diagnosis of active TB was based on clinical presentation, chest radiography, and acid-fast stain of sputum smear.All the patients were HIV negative, as diagnosed by the Livzon Anti-HIV1/2 EIA Kit (Livzon Pharmaceutical Group Inc., Guangdong, China). Additional tests were also performed to detect hepatitis B virus (HBV) and hepatitis C virus (HCV) by using the Abbott AxSYM anti-HBsAg and HCV 3.0 antibody assay kit (Abbott Laboratories, Illinois) to exclude HBV- and HCV-positive patients (these 2 diseases are highly prevalent in China). Patients with a diabetes history were also excluded because diabetes could increase the risk of TB. Peripheral venous blood was drawn before treatment. Subjects with LTBI and healthy donors both without a history of clinical TB or other infectious diseases were recruited from the staff at the Shanghai Public Health Clinical Centre. TST and IGRA (T-SPOT®.TB, Oxford Immunuotec, Oxfordshire, U.K) results were used to distinguish the two groups. The LTBI group was TST-positive (TST>10 mm) and IGRA-positive while the healthy donors were TST-negative (TST<5 mm) and IGRA-negative.

2011-05-10 | GSE29190 | GEO

Comparative miRNA Expression Profiles in Individuals with Latent and Active Tuberculosis

Project description:To study the role of miRNAs in the transition from latent to active TB and to discover candidate biomarkers that may help predict TB progression, we have employed miRNA microarray expression profiling as a discovery platform to probe the transcriptome of peripheral blood mononuclear cells (PBMCs) with active TB, latent TB infection (LTBI), and healthy donors.Patients were recruited at the Shanghai Public Health Clinical Centre (Shanghai, China) from December, 2008 to May, 2009. The diagnosis of active TB was based on clinical presentation, chest radiography, and acid-fast stain of sputum smear.All the patients were HIV negative, as diagnosed by the Livzon Anti-HIV1/2 EIA Kit (Livzon Pharmaceutical Group Inc., Guangdong, China). Additional tests were also performed to detect hepatitis B virus (HBV) and hepatitis C virus (HCV) by using the Abbott AxSYM anti-HBsAg and HCV 3.0 antibody assay kit (Abbott Laboratories, Illinois) to exclude HBV- and HCV-positive patients (these 2 diseases are highly prevalent in China). Patients with a diabetes history were also excluded because diabetes could increase the risk of TB. Peripheral venous blood was drawn before treatment. Subjects with LTBI and healthy donors both without a history of clinical TB or other infectious diseases were recruited from the staff at the Shanghai Public Health Clinical Centre. TST and IGRA (T-SPOTM-BM-..TB, Oxford Immunuotec, Oxfordshire, U.K) results were used to distinguish the two groups. The LTBI group was TST-positive (TST>10 mm) and IGRA-positive while the healthy donors were TST-negative (TST<5 mm) and IGRA-negative. RNA of PBMC from 6 patients with active TB, 6 donors with Latent TB, and 3 healthy controls (total of 15 biologically independent samples) were used to perform Agilent Human miRNA (version 3) microarray , No replicates were included

2011-05-10 | E-GEOD-29190 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

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