Publications by authors named "J Pipas"

Article Synopsis
  • All polyomaviruses produce a large T antigen (LT) protein that is crucial for viral DNA replication, gene regulation, and influencing cellular functions.
  • Over 100 polyomaviruses exist, with 14 known to infect humans, yet most research on LT focuses on simian virus 40 (SV40) and a few others.
  • This review emphasizes the differences and similarities among LT proteins of human polyomaviruses and identifies gaps in our knowledge, particularly due to the limited studies on LT proteins from various polyomavirus species.
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Article Synopsis
  • In April 2024, ten cats in South Dakota died from respiratory and neurological symptoms, leading to the discovery of an H5N1 strain closely related to cattle samples from the same area.
  • Genetic analysis revealed unique mutations in the cat-infected H5N1 virus that may enhance its infectivity and ability to evade the immune system, suggesting adaptation to the feline host.
  • The presence of viral antigens in multiple organs, particularly the brain, along with receptor co-expression, indicates that cats could potentially act as reservoirs for the mixing of avian and mammalian flu viruses.
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Characterizing unknown viruses is essential for understanding viral ecology and preparing against viral outbreaks. Recovering complete genome sequences from environmental samples remains computationally challenging using metagenomics, especially for low-abundance species with uneven coverage. We present an experimental method for reliably recovering complete viral genomes from complex environmental samples.

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The Anopheles gambiae 1000 Genomes (Ag1000G) Consortium previously utilized deep sequencing methods to catalogue genetic diversity across African An. gambiae populations. We analyzed the complete datasets of 1142 individually sequenced mosquitoes through Microsoft Premonition's Bayesian mixture model based (BMM) metagenomics pipeline.

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Characterizing unknown viruses is essential for understanding viral ecology and preparing against viral outbreaks. Recovering complete genome sequences from environmental samples remains computationally challenging using metagenomics, especially for low-abundance species with uneven coverage. This work presents a method for reliably recovering complete viral genomes from complex environmental samples.

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