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Genome Scale Transcriptomics of Baculovirus-Insect Interactions

Overview of attention for article published in Viruses, November 2013
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Title
Genome Scale Transcriptomics of Baculovirus-Insect Interactions
Published in
Viruses, November 2013
DOI 10.3390/v5112721
Pubmed ID
Authors

Quan Nguyen, Lars K Nielsen, Steven Reid

Abstract

Baculovirus-insect cell technologies are applied in the production of complex proteins, veterinary and human vaccines, gene delivery vectors' and biopesticides. Better understanding of how baculoviruses and insect cells interact would facilitate baculovirus-based production. While complete genomic sequences are available for over 58 baculovirus species, little insect genomic information is known. The release of the Bombyx mori and Plutella xylostella genomes, the accumulation of EST sequences for several Lepidopteran species, and especially the availability of two genome-scale analysis tools, namely oligonucleotide microarrays and next generation sequencing (NGS), have facilitated expression studies to generate a rich picture of insect gene responses to baculovirus infections. This review presents current knowledge on the interaction dynamics of the baculovirus-insect system' which is relatively well studied in relation to nucleocapsid transportation, apoptosis, and heat shock responses, but is still poorly understood regarding responses involved in pro-survival pathways, DNA damage pathways, protein degradation, translation, signaling pathways, RNAi pathways, and importantly metabolic pathways for energy, nucleotide and amino acid production. We discuss how the two genome-scale transcriptomic tools can be applied for studying such pathways and suggest that proteomics and metabolomics can produce complementary findings to transcriptomic studies.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 1%
Unknown 77 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 19%
Student > Ph. D. Student 14 18%
Student > Master 10 13%
Student > Bachelor 7 9%
Student > Doctoral Student 5 6%
Other 10 13%
Unknown 17 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 37 47%
Biochemistry, Genetics and Molecular Biology 14 18%
Medicine and Dentistry 3 4%
Business, Management and Accounting 2 3%
Engineering 2 3%
Other 2 3%
Unknown 18 23%
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 16 November 2013.
All research outputs
#17,702,587
of 22,729,647 outputs
Outputs from Viruses
#5,973
of 8,224 outputs
Outputs of similar age
#151,455
of 212,425 outputs
Outputs of similar age from Viruses
#23
of 29 outputs
Altmetric has tracked 22,729,647 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,224 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.0. This one is in the 22nd percentile – i.e., 22% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 212,425 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.