Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Zika virus infection activates cellular immune responses in Sertoli cells and dysregulates proteins involved in carbohydrate metabolism and cardiovascular disease

ABSTRACT: Zika virus (ZIKV) causes congenital brain abnormalities and Guillain-Barre syndrome. It mainly transmits by Aedes mosquitoes, but infections also are linked to sexual transmissions. ZIKV can proliferate in human Sertoli cells (HSerC) for several weeks in vitro, suggesting that it might be a reservoir for persistent ZIKV infection. This study determined the proteomic changes in HSerC during ZIKV infections by TMT-mass spectrometry analysis. In Sertoli cells, a total of 4416 unique proteins were significantly dis-regulated across 3, 5, and 7 days after ZIKV infection. The dis-regulated proteins include enzymes, transcription regulators, transporters, kinases, peptidases, transmembrane receptors, cytokines, ion channels, and growth factors. Many of those proteins are involved in antiviral response, antigen presentation, and immune cell activation.

INSTRUMENT(S): LTQ Orbitrap

ORGANISM(S): Homo Sapiens (ncbitaxon:9606)

SUBMITTER: Kevin Coombs

PROVIDER: MSV000088634 | MassIVE | Tue Jan 04 05:24:00 GMT 2022

REPOSITORIES: MassIVE

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

RNA sequencing of Aedes mosquitoes infected with Zika virus (ZIKV) or Dengue virus (DENV)

Project description:Zika virus (ZIKV), a pathogen of global health concern, is transmitted to humans by Aedes mosquitoes. However, the molecular interactions between the vector and the virus remain largely unexplored. We demonstrated that ZIKV and dengue virus (DENV) have similar tropism and infection kinetics in two mosquito strains with different degrees of susceptibility to infection. Comparison of Aedes aegypti’s molecular responses to ZIKV and DENV infection indicated that around 40% of the mosquito’s infection-responsive transcriptome is virus-specific. Regulated genes also included key factors of the mosquito’s anti-viral immunity, pointing to the possible involvement of the Toll innate immune pathway. Comparison of ZIKV and DENV infection-responsive transcriptome data to those for yellow fever virus and West Nile virus identified 26 genes likely to play key roles in virus infection of Aedes mosquitoes. Through reverse genetic analyses, we showed that the Toll and the Jak/Stat innate immune pathways mediate increased resistance to ZIKV infection, and the virus use vATPase and inosine-5’-monophosphate dehydrogenase as mosquito’s host factors.

2017-11-07 | GSE96605 | GEO

Analysis of Gene Expression in the Recovered Mouse Brain following Zika Virus Infection

Project description:Zika virus (ZIKV) is a member of the Flaviviridae family, transmitted by Aedes mosquitoes. ZIKV can be transmitted from pregnant woman to fetus and causes microcephaly and neuronal defects. Patients infected with ZIKV showed increased levels of proinflammatory cytokines compared to healthy individuals and neurological changes even after recovery. However, the detailed mechanism of how neuronal defects occurs after recovery from ZIKV infection has never been investigated in vivo. Here, we found that viral RNA loads were highest in mouse brain tissue 7 days after ZIKV infection and were equivalent to uninfected controls after 21 days, suggesting that mice recovered after 21 days of ZIKV infection. To explore the pathological mechanisms of neuronal defects after recovery from ZIKV infection, we performed RNA-sequencing in mouse cerebral cortex obtained 7 days and 21 days after ZIKV infection.

2024-05-20 | GSE265861 | GEO

Comprehensive quantitative proteome analysis of Aedes aegypti to interrogate Wolbachia pipientis and Zika virus interference phenomenon

Project description:Zika virus is a global public health emergency due to its association with microcephaly, Guillain-Barré syndrome, neuropathy, and myelitis in children and adults. A total of 87 countries have had evidence of autochthonous mosquito-borne transmission of Zika virus, distributed across four continents, and no antivirus therapy or vaccines are available. Therefore, several strategies have been developed to target the main mosquito vector, Aedes aegypti, to reduce the burden of different arboviruses. Among such strategies, the use of the maternally-inherited endosymbiont Wolbachia pipientis has been applied successfully to reduce virus susceptibility and decrease transmission. However, the mechanisms by which Wolbachia orchestrate resistance to ZIKV infection remains to be elucidated. In this study, we apply quantitative isobaric mass spectrometry-based proteomics to quantify proteins and identify pathways altered during ZIKV infection; Wolbachia infection; co-infection with Wolbachia/ZIKV in the Ae. aegypti. We show that Wolbachia regulates proteins involved in ROS production, regulates humoral immune response, and antioxidant production. The reduction of ZIKV polyprotein in the presence of Wolbachia in the mosquitoes was determined by mass spectrometry and corroborates the idea that Wolbachia helps to block ZIKV infections in Ae. aegypti. The present study offers a rich resource of data to help elucidate mechanisms by which Wolbachia orchestrate resistance to ZIKV infection in Ae. aegypti.

2021-02-26 | PXD022665 | Pride

Analysis of Zika Virus gene expression by Ribosome profiling and RNA sequencing

Project description:Ribosome profiling (Ribo-Seq) (maps positions of translating ribosomes on the transcriptome) and RNA-Seq (quantifies the transcriptome) analysis of African green monkey (Vero E6) cells and Aedes albopictus (C6/36) cells infected with Zika Virus (ZIKV) strain PE243. Cells were harvested at 24 h post infection (p.i.) and Ribo-Seq and RNA-Seq libraries were prepared and deep sequenced.

2018-06-30 | E-MTAB-5418 | biostudies-arrayexpress

Global transcriptome analysis of Aedes aegypti mosquitoes in response to Zika virus infection

Project description:Zika virus (ZIKV) of the Flaviviridae family is a recently emerged mosquito-borne virus that has been implicated in the surge of the number of microcephaly instances in south America. The virus is transmitted mainly by the mosquito Aedes aegypti that also vectors dengue virus. Considering rather recent rapid spread of the virus and its declaration as a global health emergency by the World Health Organization, little is known about the interactions of the virus with the mosquito vector. In this study, we investigated the transcriptome profiles of whole Ae. aegypti mosquitoes in response to ZIKV infection at 2, 7 and 14 days post-infection using deep sequencing. Results showed a large number of transcripts were altered at each time point following infection, but 18 transcripts were commonly changed at the three time points. The outcomes provide a basic understanding of Ae. aegypti responses to ZIKV and help determining host factors involved in replication or anti-viral response against the virus.

2017-10-27 | GSE102939 | GEO

Mouse skin samples after Zika virus-infected mosquito bites

Project description:Mouse skin bitten by Zika virus-infected mosquitoes were isolated and performed RNA-seq

2019-03-10 | GSE125194 | GEO

Zika virus directly infects human peripheral neurons and induces cell death

Project description:Zika virus (ZIKV), a flavivirus transmitted primarily by Aedes mosquitoes, has spread to 59 countries and territories throughout the world. ZIKV-infected patients can have several symptoms and there is scientific consensus that ZIKV is a cause of microcephaly. Most studies are focusing on the central nervous system (CNS), and it is largely unknown whether ZIKV also affects the developing peripheral nervous system. Here, using a human pluripotent stem cell-based model, we demonstrated that Puerto Rican ZIKV strain, PRVABC59, efficiently infects human neural crest cells (hNCCs). In contrast to little infection of CNS neurons, ZIKV readily infects human peripheral neurons (hPNs), leading to cell death. Global gene expression analyses of infected hNCCs and hPNs reveal transcriptional dysregulation, notably of cell-death- and cell-cycle-related pathways. Our results identify hNCCs and hPNs as a direct ZIKV target and provide a framework to investigate the ZIKV pathology on the peripheral neurons.

2017-07-07 | GSE87750 | GEO

The effect of permethrin resistance on Aedes aegypti transcriptome following ingestion of Zika virus infected blood

Project description:Aedes aegypti (L.) is the primary vector of many emerging arboviruses. Insecticide resistance among mosquito populations is a consequence of the application of insecticides for mosquito control. We used RNA-sequencing to compare transcriptomes between permethrin resistant and susceptible strains of Florida Ae. aegypti in response to Zika virus infection. A total of 2,459 transcripts were expressed at significantly different levels between resistant and susceptible Ae. aegypti. Gene ontology analysis placed these genes into 7 categories of biological processes. The 863 transcripts were expressed at significantly different levels between two strains (up/down regulated) more than 2-fold. Quantitative real-time PCR analysis validated Zika-infected response, and suggested a highly overexpressed P450, with AAEL014617 and AAEL006798 as potential candidates for the molecular mechanism of permethrin resistance in Ae. aegypti. Our findings indicated that most detoxification enzymes and immune system enzymes altered their gene expression between the two strains of Ae. aegypti in response to Zika virus infection. Understanding the interactions of arboviruses with resistant mosquito vectors at the molecular level allows for the possible development of new approaches in mitigating arbovirus transmission. This information sheds light on Zika-induced changes in the insecticide resistance of Ae. aegypti with implications for mosquito control strategies.

2018-08-22 | GSE118858 | GEO

miRNA profiles on wild caught mosquitoes in Grenada West Indies

Project description:Determination of miRNA profiles in most prominent mosquitoes will determine the potential targets for mosquito control Some of the most medically important viruses, such as dengue virus, West Nile virus, Zika virus, and yellow fever virus, are transmitted by mosquitoes. These aptly named arboviruses impose a tremendous cost to the health of populations around the world. As a result, much effort has gone into the study of the impact of these viruses in human infections. Comparatively less efforts, however, have been made to study the way these viruses interact with mosquitos themselves. It has long been held that these viruses are introduced into the midgut of mosquitoes upon ingestion of a blood meal before being transmitted within the saliva upon subsequent feeding. This sequence requires that the mosquito be able to defend itself from infection every step along the way-from ingesting bloodmeal to subsequent feeding. The main defense mechanisms employed by the mosquitoes to control viruses is RNA interference (RNAi). Modulation of this facet of the mosquito’s immune system would thereby suggest a practical strategy for vector control. This paper will provide an up to date overview of the mosquito’s immune system along with novel data describing miRNA profiles for Aedes aegypti and Culex quinquefasiatus in Grenada, West Indies.

2020-04-29 | GSE149518 | GEO

Microarray analysis of MRC-5 cells infected with Zika virus strains

Project description:To better understand the critical drivers of Zika virus pathogenicity, we used microarray analysis to evaluate the host responses triggered by Zika virus infection in MRC-5 cells.

2021-03-23 | E-MTAB-10292 | biostudies-arrayexpress

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