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Tandem 3′ UTR Patterns and Gene Expression Profiles of Marc-145 Cells During PRRSV Infection

Overview of attention for article published in Virologica Sinica, August 2018
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Title
Tandem 3′ UTR Patterns and Gene Expression Profiles of Marc-145 Cells During PRRSV Infection
Published in
Virologica Sinica, August 2018
DOI 10.1007/s12250-018-0045-y
Pubmed ID
Authors

Ying Wei, Jie Li, Yun Zhang, Chunyi Xue, Yongchang Cao

Abstract

Porcine reproductive and respiratory syndrome virus (PRRSV) causes substantial economic losses to the global pig industry. Alternative polyadenylation (APA) is a mechanism that diversifies gene expression, which is important for tumorigenesis, development, and cell differentiation. However, it is unclear whether APA plays a role in the course of PRRSV infection. To address this issue, in this study we carried out a whole-genome transcriptome analysis of PRRSV-infected Marc-145 African green monkey kidney cells and identified 185 APA switching genes and 393 differentially expressed genes (DEGs). Most of these genes were involved in cellular process, metabolism, and biological regulation, and there was some overlap between the two gene sets. DEGs were found to be more directly involved in the antiviral response than APA genes. These findings provide insight into the dynamics of host gene regulation during PRRSV infection and a basis for elucidating the pathogenesis of PRRSV.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 50%
Professor 1 25%
Researcher 1 25%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 1 25%
Biochemistry, Genetics and Molecular Biology 1 25%
Immunology and Microbiology 1 25%
Unknown 1 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 August 2018.
All research outputs
#20,529,173
of 23,098,660 outputs
Outputs from Virologica Sinica
#436
of 579 outputs
Outputs of similar age
#288,931
of 331,041 outputs
Outputs of similar age from Virologica Sinica
#3
of 4 outputs
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