ArticleJournal of virology2009
The C proteins of human parainfluenza virus type 1 (HPIV1) control the transcription of a broad array of cellular genes that would otherwise respond to HPIV1 infection.
Article in Journal of virology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
14 citing papers in PubMed, 17 citations in OpenAlex.
- Identification of AMOTL2 as an antiviral factor that enhances the human type I interferon response against Zika virus.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Insights into the function of ESCRT and its role in enveloped virus infection.Frontiers in microbiology · 2023Review
- Human Type I Interferon Antiviral Effects in Respiratory and Reemerging Viral Infections.Journal of immunology research · 2020Review
- A Phospho-SIM in the Antiviral Protein PML is Required for Its Recruitment to HSV-1 Genomes.Cells · 2014Article
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- Alix serves as an adaptor that allows human parainfluenza virus type 1 to interact with the host cell ESCRT system.PloS one · 2013Article
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- Pathogenesis of acute respiratory illness caused by human parainfluenza viruses.Current opinion in virology · 2012Review
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- Progress in the development of human parainfluenza virus vaccines.Expert review of respiratory medicine · 2011Review
- Progress in respiratory virus vaccine development.Seminars in respiratory and critical care medicine · 2011Review
- The C proteins of human parainfluenza virus type 1 limit double-stranded RNA accumulation that would otherwise trigger activation of MDA5 and protein kinase R.Journal of virology · 2011Article
- Rotavirus antagonizes cellular antiviral responses by inhibiting the nuclear accumulation of STAT1, STAT2, and NF-kappaB.Journal of virology · 2009Article
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
Human parainfluenza virus type 1 (HPIV1) is an important respiratory pathogen in children and the most common cause of viral croup. We performed a microarray-based analysis of gene expression kinetics to examine how wild-type (wt) HPIV1 infection altered gene expression in human respiratory epithelial cells and what role beta interferon played in this response. We similarly evaluated HPIV1-P(C-), a highly attenuated and apoptosis-inducing virus that does not express any of the four C proteins, and HPIV1-C(F170S), a less attenuated mutant that contains a single point mutation in C and, like wt HPIV1, does not efficiently induce apoptosis, to examine the role of the C proteins in controlling host gene expression. We also used these data to investigate whether the phenotypic differences between the two C mutants could be explained at the transcriptional level. Mutation or deletion of the C proteins of HPIV1 permitted the activation of over 2,000 cellular genes that otherwise would be repressed by HPIV1 infection. Thus, the C proteins profoundly suppress the response of human respiratory cells to HPIV1 infection. Cellular pathways targeted by the HPIV1 C proteins were identified and their transcriptional control was analyzed using bioinformatics. Transcription factor binding sites for IRF and NF-kappaB were overrepresented in some of the C protein-targeted pathways, but other pathways were dominated by less-known factors, such as forkhead transcription factor FOXD1. Surprisingly, the host responses to the P(C-) and C(F170S) mutants were very similar, and only subtle differences in the expression kinetics of caspase 3 and TRAIL receptor 2 were observed. Thus, changes in host cell transcription did not reflect the striking phenotypic differences observed between these two viruses.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.