Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Insights into the role of immunomodulation of ZIKV-infected UCMSC by using transcriptomic analysis.

ABSTRACT: Insights into the role of immunomodulation of ZIKV-infected UCMSC by using transcriptomic analysis.

PROVIDER: PRJNA503899 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR8159670_1.fastq.gz	Fastqsanger.gz
	SRR8159670_2.fastq.gz	Fastqsanger.gz
	SRR8159671_1.fastq.gz	Fastqsanger.gz
	SRR8159671_2.fastq.gz	Fastqsanger.gz
	SRR8159672_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 10

Similar Datasets

Insights into the role of immunomodulation of ZIKV-infected UCMSC by using transcriptomic analysis.

Project description:RNA profiles of UCMSC infected with various ZIKV strains were generated by High-throughput sequencing using Illumina Hi-seq 2500

2018-11-06 | GSE122193 | GEO

Transcriptome analysis of the glioma stem cells infected with ZIKV

Project description:Glioma stem cells derived from patient samples were infected with ZIKV at MOI of 1 for 48hrs, total RNA was extracted and deep sequenced to compare the gene expression profiles between mock and ZIKV infected cells

2018-05-26 | GSE114907 | GEO

Transcriptome analysis of the treeshrew infected with ZIKV GZ01

Project description:We analyzed the gene expression profile of the PBMC from -2dpi, 2dpi, and 6dpi ZIKV-infected treeshrew

2018-07-31 | GSE115093 | GEO

Analysis of transcriptional differences between ZIKV-infected Ifnar-/- and Ifnar+/- placentas

Project description:Purpose: While type I interferons (IFN) are important for control of viral replication, we see that, upon infection of Ifnar-/- females were crossed to Ifnar+/- males with ZIKV, only Ifnar+/- fetuses are resorbed or develop severe growth restriction. To identify how IFN may be altering placenta development, we performed RNAsequencing on infected and uninfected Ifnar-/- and Ifnar+/- placentas. Methods: Ifnar-/- females were crossed to Ifnar+/- males and infected intravaginally with Cambodian ZIKV at E5.5. Placentas were harvested from infected and uninfected pregnant dams at E10.5. Results/ Conclusions: Comparison of ZIKV-infected Ifnar-/- and Ifnar+/- shows an elevated interferon stimulated gene (ISG) signature in Ifnar+/- placentas but does not reveal any underlying developmental defects that may be causing defects in placenta development.

2017-12-31 | GSE98423 | GEO

Next Generation Sequencing Facilitates Quantitative Analysis of Mock/ZIKV Infected AG6 Mice Olfactory Mucosa and Olfactory Bulb Transcriptomes

Project description:In this work, we demonstrate that neonatal mice infected with ZIKV via intracranial injection suffers from transient olfactory dysfunction when they grow up to puberty. Moreover, ZIKV exhibits broad cellular tropism and mainly targets the olfactory ensheathing cells (OECs) in the olfactory mucosa (OM) of mice. To decipher the underlying mechanism of the observed olfactory dysfunction in ZIKV infected mice at the molecular level, RNA-Seq analyses of the OM and OB samples from ZIKV infected mice were performed in comparison with that from the control animals.

2022-10-03 | GSE214567 | GEO

Quantitative proteomic analysis of ZIKV infected C6/36 cells

Project description:An iTRAQ-based quantitative proteomic analysis of ZIKV infected Aedes albopictus C6/36 cells was performed to investigate host proteins involved in ZIKV infection process. A total of 3,544 host proteins were quantified, with 200 being differentially regulated. Bioinformatics analysis on regulated host proteins highlights several ZIKV infection regulated biological processes.

2017-04-21 | PXD004727 | Pride

ZIKV-infected human NPCs LC-MS

Project description:In this study, proteomic analysis on ZIKV-infected primary human fetal neural progenitor cells (NPCs) revealed that virus infection altered levels of cellular proteins involved in NPC proliferation, differentiation and migration.

2018-06-25 | PXD009343 | Pride

Time-resolved phosphoproteomic analysis of ZIKV-infected cells

Project description:To investigate cellular pathway dysregulation upon ZIKV infection, time-resolved phosphoproteomics LC-MS/MS analysis was used. ZIKV-infected SK-N-BE2 cells or mock-treated cells were harvested 24, 48 and 72 hours post virus infection and their phosphoproteome was quantitatively analyzed by label-free LC-MS/MS.

2018-09-03 | PXD009560 | Pride

Zka virus (ZIKV) persistently infects primary human brain microvascular endothelial cells

Project description:ZIKV alters transcriptional responses of infected cells to avoid immune detection. We have compared the transcriptional responses of ZIKV-infected hBMECs and mock-infected hBMECs. Examination of transcriptional responses of ZIKV-infected hBMECs versus mock-infected hBMECs

2017-07-15 | GSE98889 | GEO

Expression profiling of death-related genes in ZIKV-infected SH-SY5Y cells

Project description:Analysis of death triggering pathways activated by experimental Zika virus infection in SH-SY5Y cells by expression profiling of 42 genes related to survival, anti-apoptotic and proapoptotic responses, and death receptors pathway, and 06 endogenous control genes. Commercially available neuroblastoma SH-SY5Y cells were grown in vitro, experimentally infected with Zika virus (MOI 0.5), and MOCK- and ZIKV-infected cells were harvested at 1 and 2 days post-infection. We used TaqMan ™ Array Human Apoptosis via Death Receptors (Thermo Fisher Scientific, MA, USA) to quantitate gene expression during ZIKV infection in SH-SY5Y cells.

2021-12-01 | GSE162096 | 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