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Powerful qPCR assays for the early detection of latent invaders: interdisciplinary approaches in clinical cancer research and plant pathology

Academic Article
Publication Date:
2016
abstract:
Latent invaders represent the first step of disease before symptoms occur in the host. Based on recent findings, tumors are considered to be ecosystems in which cancer cells act as invasive species that interact with the native host cell species. Analogously, in plants latent fungal pathogens coevolve within symptomless host tissues. For these reasons,similar detection approaches can be used for an early diagnosis of the invasion process in both plants and humans to prevent or reduce the spread of the disease. Molecular tools based on the evaluation of nucleic acids have been developed for the specific, rapid, and early detection of human diseases. During the last decades, these techniques to assess and quantify the proliferation of latent invaders in host cells have been transferred from the medical field to different areas of scientific research, such as plant pathology. An improvement in molecular biology protocols (especially referring to qPCR assays)specifically designed and optimized for detection in host plants is therefore advisable. This work is a crossdisciplinary review discussing the use of a methodological approach that is employed within both medical and plant sciences. It provides an overview of the principal qPCR tools for the detection of latent invaders, focusing on comparisons between clinical cancer research and plant pathology, and recent advances in the early detection of latent invaders to improve prevention and control strategies.
Iris type:
01.01 Articolo in rivista
Keywords:
Circulating tumor cells; Fungal endophytes; Detection; Plant disease; Protocols; Real-time PCR; Prevention; Latent niche
List of contributors:
Capretti, Paolo; Luchi, Nicola
Authors of the University:
LUCHI NICOLA
Handle:
https://iris.cnr.it/handle/20.500.14243/315608
Published in:
APPLIED MICROBIOLOGY AND BIOTECHNOLOGY
Journal
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