Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: Ribosome profiling of Huh7 cells infected with hCoV-229E

PROVIDER: PRJNA996338 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR25337464.fastq.gz	Fastqsanger.gz
	SRR25337465.fastq.gz	Fastqsanger.gz
	SRR25337466.fastq.gz	Fastqsanger.gz

Items per page:

1 - 3 of 3

Similar Datasets

hnRNPC specifically promotes SARS-CoV-2 frameshifting

Project description:We analyzed whether hnRNPC facilitates the expression of viral non-structural proteins, which are essential for viral RNA replication. Ribosome profiling was performed on Vector, hnRNPC1, hnRNPC2 and HSD17B13 overexpressing Huh7 cells infected with HCoV-229E

2026-04-12 | GSE327251 | GEO

HCoV-229E infection of the human HuH7 cell line [Experiment A]

Project description:The aim of the experiment is to identify changes in host gene expression upon infection of HuH7 human hepatoma cells with Human corona virus-229E (HCoV-229E) compared to mock-infected cells. All experiments were performed at 33°C which is required for sufficient viral entry/replication.

2017-03-15 | GSE89160 | GEO

global proteomics profiling of Huh7 cells infected with human coronaviruses (SARS-CoV-2, HCoV-229E, and HCoV-OC43)

Project description:To explore host factors and pathways modulated by coronavirus infections, we performed global quantitative proteomics profiling. Huh7 cells were infected with SARS-CoV-2 (MOI=1.0), HCoV-229E (MOI=0.1), or HCoV-OC43 (MOI=1.0) for 24 hours, compared with MOCK infection. Protein samples were digested and analyzed using mass spectrometry with a data-independent acquisition (DIA) approach to measure changes in global protein abundance. This study complements the phosphoproteomics dataset (PXD057224) from the same study

2026-04-01 | PXD057194 | Pride

SARS-CoV-2 FSE RNA pull down combined with LC-MS/MS analysis

Project description:To identify potential cellular RNA-binding proteins (RBPs) that interact with the FSE RNA of SARS-CoV-2, biotinylated in vitro transcription (IVT) FSE RNA from the SARS-CoV-2 genome was incubated with lysates of H460 cells infected with human coronavirus OC43 (HCoV-OC43) and Huh7 cells infected with human coronavirus 229E (HCoV-229E). To exclude non-specific binders, a non-related RNA was used as a control.

2026-04-07 | PXD076663 |

Human Liver Epithelial Cell Chromatin Accessibility Response to HCoV-229E Infection

Project description:The purpose of this experiment was to evaluate how wild-type Human coronavirus strain 229E (HCoV-229E) infection alters chromatin accessiblity in infected but not mock-infected samples.

2025-12-23 | GSE280627 | GEO

Transcriptomic profiling of human corona virus (HCoV)-229E -infected human cells

Project description:Human coronaviruses (HCoVs) cause mild to severe respiratory infection. Most of the common cold illnesses are caused by one of four HCoVs, namely HCoV-229E, HCoV-NL63, HCoV-HKU1 and HCoV-OC43. Several studies have applied global transcriptomic methods to understand host responses to HCoV infection, with most studies focusing on the pandemic severe acute respiratory syndrome coronavirus (SARS-CoV), Middle East respiratory syndrome CoV (MERS-CoV) and the newly emerging SARS-CoV-2. In this study, Next Generation Sequencing was used to gain new insights into cellular transcriptomic changes elicited by alphacoronavirus HCoV-229E. HCoV-229E-infected MRC5 cells showed marked downregulation of superpathway of cholesterol biosynthesis and eIF2 signaling pathways. Moreover, upregulation of cyclins, cell cycle control of chromosomal replication, and role of BRCA1 in DNA damage response, alongside downregulation of the cell cycle G1/S checkpoint, suggest that HCoV-229E favors S phase for viral infection. Intriguingly, more than 80% of key factors of cell innate immunity, interferon-stimulated genes (ISGs) and other transcripts of early antiviral response genes were downregulated early in HCoV-229E infection. This study will enhance our understanding of commonly circulating HCoVs and hopefully provide critical information about still-emerging coronaviruses.

2021-03-03 | GSE155986 | GEO

ChIP-seq analysis of coronavirus-infected human cells

Project description:The aim of the experiment is to identify chromatin and transcription factor binding dynamics in host gene expression upon infection of human Huh7 hepatoma carcinoma cells with human coronavirus HCoV-229E as compared to uninfected cells and in comparison to cells stimulated by IL-1alpha (10ng/ml) for 1h. All experiments have been performed at 33°C which is required for sufficient viral entry/replication.

2017-03-15 | GSE89212 | GEO

Project description:DMS-Map of Huh7 cells infected with hCoV-229E and exposed to carrimycin

| PRJNA1003418 | ENA

Genome-scale CRISPR knockout screen for Dengue, Japanese Encephalitis, and Human Coronavirus 229E viruses

Project description:Unbiased forward genetic screens to identify host factors for DENV1 and JEV in 293FT cells. Unbiased forward genetic screens to identify host factors for HCoV-229E in Huh7.5.1 cells.

2024-09-13 | E-MTAB-13751 | biostudies-arrayexpress

Human A549 and MRC5 Cell Response to HCoV-229E Infection

Project description:The purpose of this experiment was to evaluate the human host cellular response to wild-type Human coronavirus strain 229E (HCoV-229E) infection. Sample data was obtained for mock and infected (MOI 5) immortalized human lung epithelial cells (A549) and immortalized human lung fibroblasts cells (MRC5) processed for RNA sequencing (RNA-Seq) expression analysis.

2025-10-01 | GSE279271 | 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