Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

The transcriptional and translational landscape of HCoV-OC43 infection

ABSTRACT: The coronavirus HCoV-OC43 circulates continuously in the human population and is a frequent cause of the common cold. Here, we generated a high-resolution atlas of the transcriptional and translational landscape of OC43 at various timepoints following infection of human lung fibroblasts. Using ribosome profiling, we quantified the relative expression of the canonical open reading frames (ORFs) and identified several unannotated ORFs, including short upstream ORFs and a putative ORF nested inside the M gene. In parallel, we analyzed the cellular response to infection. Endoplasmic reticulum (ER) stress response genes are transcriptionally and translationally induced, but conventional antiviral genes remain mostly suppressed. At the same time, we observed widespread aberrant translation across cellular transcripts, including over 3′UTRs and of noncoding transcripts normally targeted by the nonsense mediated decay pathway. Taken together, our work provides a genomic resource for further study of OC43 and the cellular response to infection.

ORGANISM(S): Homo sapiens

PROVIDER: GSE252692 | GEO | 2024/01/17

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

N-Tera2 differentiated human neuronal model: Mock infected vs HCoV-OC43 infected

Project description:Transcriptional profiling of N-Tera2 differentiated human neuronal cells, comparing control uninfected cells to HCoV-OC43 infected cells at 24, 48 and 72 hour post-infection Keywords: Cell response to viral infection Two-condition experiment, N-Tera2 differentiated human neuronal cell mock infected vs. N-Tera2 differentiated human neuronal cell HCoV-OC43 infected at 24, 48 and 72 hours. Biological replicates: 2 at each time-course point. Technical replicate: 2 dye-swap at each time-point. 2 arrays hybridized with mock(cy3) vs infected(cy5) and 2 array with infected(cy3) vs mock(cy5).

2008-12-10 | E-GEOD-13879 | biostudies-arrayexpress

DiMNF treated NHBE cells with HCoV-OC43 Infection

Project description:The emergence of novel betacoronaviruses has posed significant financial and human health burdens, necessitating the development of appropriate tools to combat future outbreaks. In this study, we have characterized a human cell line, IGROV-1, as a robust tool to detect, propagate, and titrate betacoronavirus SARS-CoV-2 and HCoV-OC43. IGROV-1 cells can be used for serological assays, antiviral drug testing, and isolating SARS-CoV-2 variants from patient samples. Using time-course transcriptomics, we confirmed that IGROV-1 cells exhibit a robust innate immune response upon SARS-CoV-2 infection, recapitulating the response previously observed in primary human nasal epithelial cells. We performed genome-wide CRISPR knockout genetic screens in IGROV-1 cells and identified Aryl hydrocarbon receptor (AHR) as a critical host dependency factor for both SARS-CoV-2 and HCoV-OC43. Using DiMNF, a small molecule inhibitor of AHR, we observed that the drug selectively inhibits HCoV-OC43 infection but not SARS-CoV-2. Transcriptomic analysis in primary normal human bronchial epithelial cells revealed that DiMNF blocks HCoV-OC43 infection via basal activation of innate immune responses. Our findings highlight the potential of IGROV-1 cells as a valuable diagnostic and research tool to combat betacoronavirus diseases.

2023-09-19 | GSE237131 | GEO

N-Tera2 differentiated human neuronal model: Mock infected vs HCoV-OC43 infected

2008-12-11 | GSE13879 | GEO

Inhibition of coronavirus HCoV-OC43 by targeting the eIF4F complex [A549]

Project description:This study reports a screen to identify putative inhibitors of the eIF4F complex for potential effects on blocking coronavirus replication, using HCoV-OC43 (OC43) infection of Vero E6 cells and the lung epithelial cancer line A549 as models.

2022-12-13 | GSE198398 | GEO

Inhibition of coronavirus HCoV-OC43 by targeting the eIF4F complex [Vero E6]

2022-12-13 | GSE198399 | GEO

CRISPR screens by human betacoronaviruses SARS-CoV-2 and HCoV-OC43 using IGROV-1 cells

2023-09-19 | GSE237122 | 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

Comprehensive Proteomic Analysis of HCoV-OC43 Virions and Virus-Modulated Extracellular Vesicles

Project description:Viruses are obligate parasites that depend on the cellular machinery for their propagation. Several viruses also incorporate cellular proteins that facilitate viral spread. Defining these cellular proteins is critical to decipher viral life cycles and delineate novel therapeutic strategies. While numerous studies have explored the importance of host proteins in coronavirus spread, information about their presence in mature virions is limited. In this study, we developed a protocol to highly enrich mature HCoV-OC43 virions and characterize them by proteomics. Recognizing that cells release extracellular vesicles whose content is modulated by viruses, and given our ability to separate virions from these vesicles, we also analyzed their protein content in both uninfected and infected cells. We uncovered 69 unique cellular proteins associated with virions including 31 high confidence hits. These proteins primarily regulate RNA metabolism, enzymatic activities, vesicular transport, cell adhesion, metabolite interconversion and translation. We further discovered that the virus had a profound impact on exosome composition, incorporating 47 novel cellular proteins (11 high confidence) and excluding 92 others (61 high confidence) in virus-associated extracellular vesicles compared to uninfected cells. Moreover, a dsiRNA screen revealed that 11 of 18 select targets significantly impacted viral yields, including proteins found in virions or extracellular vesicles. Overall, this study provides new and important insights into the incorporation of numerous host proteins into HCoV-OC43 virions, their biological significance and the ability of the virus to modulate extracellular vesicles.

2024-06-24 | PXD052967 | Pride

Single-cell RNA-sequencing of human bronchial epithelial organoids infected by four different betacoronaviruses; HCoV-OC43, SARS-CoV, MERS-CoV, and SARS-CoV-2 and mock control.

Project description:We investigated the interactions of four distinct betacoronaviruses; HCoV-OC43, SARS-CoV, MERS-CoV, and SARS-CoV-2 within human bronchial epithelial (HBE) organoids using single-cell RNA sequencing (scRNA-seq) to comprehensively understand betacoronaviruses cellular tropism and the intricate interplay between these cells and the host's immune defense mechanisms.

2024-03-26 | GSE262439 | GEO

Identification of AHR as a pro-viral host factor of human betacoronaviruses SARS-CoV-2 using IGROV-1 cells

2023-09-18 | GSE237121 | GEO