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A Retrospective Examination of Feline Leukemia Subgroup Characterization: Viral Interference Assays to Deep Sequencing.

Elliott S ChiuEdward A HooverSue VandeWoude
Published in: Viruses (2018)
Feline leukemia virus (FeLV) was the first feline retrovirus discovered, and is associated with multiple fatal disease syndromes in cats, including lymphoma. The original research conducted on FeLV employed classical virological techniques. As methods have evolved to allow FeLV genetic characterization, investigators have continued to unravel the molecular pathology associated with this fascinating agent. In this review, we discuss how FeLV classification, transmission, and disease-inducing potential have been defined sequentially by viral interference assays, Sanger sequencing, PCR, and next-generation sequencing. In particular, we highlight the influences of endogenous FeLV and host genetics that represent FeLV research opportunities on the near horizon.
Keyphrases
  • sars cov
  • acute myeloid leukemia
  • bone marrow
  • high throughput
  • single cell
  • machine learning
  • deep learning
  • copy number
  • dna methylation
  • antiretroviral therapy
  • single molecule
  • genome wide
  • study protocol