↓ Skip to main content

PLOS

Quantification of the Host Response Proteome after Mammalian Reovirus T1L Infection

Overview of attention for article published in PLOS ONE, December 2012
Altmetric Badge

Readers on

mendeley
35 Mendeley
Title
Quantification of the Host Response Proteome after Mammalian Reovirus T1L Infection
Published in
PLOS ONE, December 2012
DOI 10.1371/journal.pone.0051939
Pubmed ID
Authors

Alicia R. Berard, John P. Cortens, Oleg Krokhin, John A. Wilkins, Alberto Severini, Kevin M. Coombs

Abstract

All viruses are dependent upon host cells for replication. Infection can induce profound changes within cells, including apoptosis, morphological changes, and activation of signaling pathways. Many of these alterations have been analyzed by gene arrays to measure the cellular "transcriptome." We used SILAC (stable isotope labeling by amino acids in cell culture), combined with high-throughput 2-D HPLC/mass spectrometry, to determine relative quantitative differences in host proteins at 6 and 24 hours after infecting HEK293 cells with reovirus serotype 1 Lang (T1L). 3,076 host proteins were detected at 6 hpi, of which 132 and 68 proteins were significantly up or down regulated, respectively. 2,992 cellular proteins, of which 104 and 49 were up or down regulated, respectively, were identified at 24 hpi. IPA and DAVID analyses indicated proteins involved in cell death, cell growth factors, oxygen transport, cell structure organization and inflammatory defense response to virus were up-regulated, whereas proteins involved in apoptosis, isomerase activity, and metabolism were down-regulated. These proteins and pathways may be suitable targets for intervention to either attenuate virus infection or enhance oncolytic potential.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 3%
Canada 1 3%
Unknown 33 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 37%
Researcher 6 17%
Student > Master 4 11%
Student > Doctoral Student 2 6%
Student > Bachelor 2 6%
Other 4 11%
Unknown 4 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 37%
Biochemistry, Genetics and Molecular Biology 8 23%
Immunology and Microbiology 5 14%
Medicine and Dentistry 2 6%
Engineering 1 3%
Other 0 0%
Unknown 6 17%