Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Transcriptomic profile of circulating naïve, TCM, TEM and TEMRA T cells in donors from Sri Lanka previously exposed to dengue virus and healthy controls

ABSTRACT: This SuperSeries is composed of the SubSeries listed below.

ORGANISM(S): Homo sapiens

PROVIDER: GSE97863 | GEO | 2017/09/27

SECONDARY ACCESSION(S): PRJNA383107

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

Transcriptomic profile of circulating naïve, TCM, TEM and TEMRA T cells in donors from Sri Lanka previously exposed to dengue virus and healthy controls from Sri Lanka [Cohort 1]

Project description:Dengue virus is responsible for 400 million human infections each year . The characterization of exact molecular components of immune response associated may help design more effective therapeutic interventions. In this study, we aimed to characterize the immune signature of T cells subtypes associated with previous exposure to dengue virus. Transcriptomic profiling using RNA sequencing was performed on naive, TCM, TEM and TEMRA CD4 T cells isolated from individuals with secondary dengue infections from Sri Lanka, an endemic area, as well as from dengue negative healthy controls.

2017-09-27 | GSE97861 | GEO

Transcriptomic profile of circulating naïve, TCM, TEM and TEMRA T cells in donors from Sri Lanka previously exposed to dengue virus and healthy controls from San Diego [Cohort 2 & Cohort 3]

2017-09-27 | GSE97862 | GEO

Transcriptomic profile of circulating naïve, TCM, TEM and TEMRA T cells in donors from Sri Lanka previously exposed to dengue virus and healthy controls

Project description:Transcriptomic profile of circulating naïve, TCM, TEM and TEMRA T cells in donors from Sri Lanka previously exposed to dengue virus and healthy controls

| PRJNA383107 | ENA

Severe Dengue Epidemic, Sri Lanka, 2017.

Project description:In 2017, a dengue epidemic of unexpected magnitude occurred in Sri Lanka. A total of 186,101 suspected cases and 440 dengue-related deaths occurred. We conducted a comprehensive analysis of this epidemic by comparing national surveillance data for 2017 with data from the preceding 5 years. In all Sri Lanka districts, dengue incidence in 2017 increased significantly over incidence during the previous 5 years. Older schoolchildren and young adults were more clinically symptomatic than those at extremes of age. Limited virologic surveillance showed the dominant circulating variant was dengue virus type 2 cosmopolitan genotype in the most affected district. One quarter of total annual cases were reported 5 weeks after the southwest monsoon started. Changes in vector abundance were not predictive of the increased incidence. Direct government expenditures on dengue control activities in 2017 were US $12.7 million. The lessons learned from this outbreak are useful for other tropical nations facing increasing dengue incidence.

| S-EPMC7101108 | biostudies-literature

Severe dengue epidemics in Sri Lanka, 2003-2006.

Project description:Recent emergence of dengue hemorrhagic fever in the Indian subcontinent has been well documented in Sri Lanka. We compare recent (2003-2006) and past (1980-1997) dengue surveillance data for Sri Lanka. The 4 dengue virus (DENV) serotypes have been cocirculating in Sri Lanka for >30 years. Over this period, a new genotype of DENV-1 has replaced an old genotype. Moreover, new clades of DENV-3 genotype III viruses have replaced older clades. Emergence of new clades of DENV-3 in 1989 and 2000 coincided with abrupt increases in the number of reported dengue cases, implicating this serotype in severe epidemics. In 1980-1997, most reported dengue cases were in children. Recent epidemics have been characterized by many cases in children and adults. Changes in local transmission dynamics and genetic changes in DENV-3 are likely increasing emergence of severe dengue epidemics in Sri Lanka.

| S-EPMC2662655 | biostudies-literature

Hepatitis C virus in healthy blood donors in Sri Lanka.

Project description:IntroductionHepatitis C virus (HCV) is the etiological agent for the majority of cases of non-A, non-B hepatitis. As a blood-borne virus, HCV is widely recognized as a major causative agent of post-transfusion non-A, non-B hepatitis. The prevalence of HCV and the distribution of HCV genotypes in Sri Lanka in comparison with the rest of Asia are not well known.Materials and methodsThe blood samples collected from healthy blood donors at the National Blood Transfusion Centre of Sri Lanka were screened to determine the prevalence and the genotypes of HCV among blood donors in Sri Lanka.ResultsHCV antibodies were found in 53 of 4980 blood donors. However, of the 53 only 8 positive results were confirmed by Reverse Transcription-PCR, which suggests frequent false-positive results or viral clearance. The PCR positive samples were genotyped by DNA sequencing of the Core/E1 regions of HCV genome, and all the HCV viruses belonged to genotype 3, of which 7 were 3a and 1 was 3b.ConclusionHCV is relatively rare among blood donors in Sri Lanka and only genotype 3 was detected in the studied group.

| S-EPMC3082710 | biostudies-literature

Transcriptomic profile of circulating memory T cells in donors previously exposed to dengue virus

Project description:Dengue virus is responsible for 400 million human infections each year . The characterization of exact molecular components of immune response associated may help design more effective therapeutic interventions. In this study, we aimed to characterize the immune signature of memory T cells associated with previous exposure to dengue virus. Transcriptomic profiling using RNA sequencing was performed on memory CD4 and CD8 T cells isolated from individuals with primary or secondary dengue infections from two endemic areas (Sri Lanka and Nicaragua), as well as from dengue negative healthy controls.

2019-09-29 | GSE87505 | GEO

Fuzzy Multidimensional Model to Cluster Dengue Risk in Sri Lanka.

Project description:Dengue is the world's rapidly transmitting mosquito-borne viral disease. It is mostly found in subtropical countries in the world. The annual number of global deaths caused by dengue fever is about 25,000. The Sri Lanka dengue situation is also not different to other countries. In the year 2019, dengue fever caused 120 deaths in Sri Lanka. Most of these deaths were reported from the main administrative district Colombo. Health authorities have to pay their attention to control this new situation. Therefore, identifying the hot spots in the country and implementing necessary actions to control the disease is an important task. This study aims to develop a clustering technique to identify the dengue hot spots in Sri Lanka. Suitable risk factors are identified using expert ideas and reviewing available literature. The weights are derived using Chang's extent method. These weights are used to prioritize the factors associated with dengue. Using the geometric mean, the interaction between the triggering variable and other variables is calculated. According to the interaction matrices, five dengue risk clusters are identified. It is found that high population movement in the area plays a dominant role to transmit the disease to other areas. Most of the districts in Sri Lanka will reach to moderate risk cluster in the year 2022.

| S-EPMC7661134 | biostudies-literature

New dengue virus type 1 genotype in Colombo, Sri Lanka.

Project description:The number of cases and severity of disease associated with dengue infection in Sri Lanka has been increasing since 1989, when the first epidemic of dengue hemorrhagic fever was recorded. We identified a new dengue virus 1 strain circulating in Sri Lanka that coincided with the 2009 dengue epidemic.

| S-EPMC3310553 | biostudies-literature

Evaluation of transcriptional changes following stimulation of naïve, TCM, TEM and TEMRA CD8+ T cell subsets with AB248 compared to IL-2

Project description:Evaluation of transcriptional changes following stimulation of naïve, TCM, TEM and TEMRA CD8+ T cell subsets confirmed that AB248 recapitulated the expected IL-2 signature with high fidelity

2024-04-02 | GSE243601 | GEO

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