Literature DB >> 30955491

An epithelial organoid model with Langerhans cells for assessing virus-host interactions.

Robert Jackson1,2, Statton Eade1, Ingeborg Zehbe1,3.   

Abstract

Persistent infection with oncogenic human papillomavirus (HPV) may lead to cancer in mucosal and skin tissue. Consequently, HPV must have developed strategies to escape host immune surveillance. Nevertheless, most HPV infections are cleared by the infected host. Our laboratory investigates Langerhans cells (LCs), acting at the interface between innate and adaptive immunity. We hypothesize that this first line of defence is vital for potential HPV elimination. As an alternative to animal models, we use smaller-scale epithelial organoids grown from human primary keratinocytes derived from various anatomical sites. This approach is amenable to large sample sizes-an essential aspect for scientific rigour and statistical power. To evaluate LCs phenotypically and molecularly during the viral life cycle and onset of carcinogenesis, we have included an engineered myeloid cell line with the ability to acquire an LC phenotype. This model is accurately tailored for the crucial time-window of early virus elimination in a complex organism and will shed more light on our long-standing research question of how naturally occurring HPV variants influence disease development. It may also be applied to other microorganism-host interaction research or enquiries of epithelium immunobiology. Finally, our continuously updated pathogen-host analysis tool enables state-of-the-art bioinformatics analyses of next-generation sequencing data. This article is part of the theme issue 'Silent cancer agents: multi-disciplinary modelling of human DNA oncoviruses'.

Entities:  

Keywords:  host immune surveillance; human papillomavirus; keratinocytes and Langerhans cells; next-generation sequencing; organoids; pathogen–host interaction

Mesh:

Year:  2019        PMID: 30955491      PMCID: PMC6501905          DOI: 10.1098/rstb.2018.0288

Source DB:  PubMed          Journal:  Philos Trans R Soc Lond B Biol Sci        ISSN: 0962-8436            Impact factor:   6.237


  62 in total

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Journal:  Bioinformatics       Date:  2019-08-01       Impact factor: 6.937

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