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Background: Influenza viruses such as swine-origin influenza A(H1N1) virus (A(H1N1)pdm09) generate genetic diversity due to the high error rate of their RNA polymerase, often resulting in mixed genotype populations (intra-host variants) within a single infection. This variation helps influenza to rapidly respond to selection pressures, such as those imposed by the immunological host response and antiviral therapy. We have applied deep sequencing to characterize influenza intra-host variation in a transmission chain consisting of three cases due to oseltamivir- sensitive viruses, and one derived oseltamivir-resistant case. Methods: Following detection of the A(H1N1)pdm09 infections, we deep-sequenced the complete NA gene from two of the oseltamivir-sensitive virus-infected cases, and all eight gene segments of the viruses causing the remaining two cases. Results: No evidence for the resistance-causing mutation (resulting in NA H275Y substitution) was observed in the oseltamivir-sensitive cases. Furthermore, deep sequencing revealed a subpopulation of oseltamivir-sensitive viruses in the case carrying resistant viruses. We detected higher levels of intra-host variation in the case carrying oseltamivir-resistant viruses than in those infected with oseltamivir-sensitive viruses. Conclusions: Oseltamivir-resistance was only detected after prophylaxis with oseltamivir, suggesting that the mutation was selected for as a result of antiviral intervention. The persisting oseltamivir-sensitive virus population in the case carrying resistant viruses suggests either that a small proportion survive the treatment, or that the oseltamivir-sensitive virus rapidly re-establishes itself in the virus population after the bottleneck. Moreover, the increased intra-host variation in the oseltamivir-resistant case is consistent with the hypothesis that the population diversity of a RNA virus can increase rapidly following a population bottleneck. [ABSTRACT FROM AUTHOR]

Abstract: Given the major threat of influenza A to human and animal health, and its ability to evolve rapidly through mutation and reassortment, tools that enable its timely characterization are necessary to help monitor its evolution and spread. For this purpose, deep sequencing can be a very valuable tool. This study reports a comprehensive method that enables deep sequencing of the complete genomes of influenza A subtypes using the Illumina Genome Analyzer IIx (GAIIx). By using this method, the complete genomes of nine viruses were sequenced in parallel, representing the 2009 pandemic H1N1 virus, H5N1 virus from human and H1N1 virus from swine, on a single lane of a GAIIx flow cell to an average depth of 122-fold. This technique can be applied to cultivated and uncultivated virus. [Copyright &y& Elsevier]

In this study, we tested various approaches to remove DNA from hard laboratory surfaces. We contaminated clean surfaces with four different concentrations of massively parallel sequencing libraries. The DNA was dried and left for 45 min and for 24 h, respectively, before any treatment. The surfaces were cleaned with six different methods water, 96% ethanol, water followed by 96% ethanol, 3–6% hypochlorite solution, 0.9–1.8% hypochlorite solution, and no treatment. Subsequently, the surfaces were swabbed using cotton. DNA was extracted from the swabs and the DNA concentrations were determined by real-time PCR. The results showed that leaving the DNA traces for 24 h decreased the amount of amplifiable DNA approximately four times. The concentrations of amplifiable DNA were approximately five times lower after cleaning with 96% ethanol. Cleaning with water and water followed by 96% ethanol reduced the amount of amplifiable DNA 100–200 times, whereas cleaning with hypochlorite removed all traces of amplifiable DNA. This indicated that the ‘mechanical’ cleaning was efficient but cleaning with hypochlorite was superior. In conclusion, it is recommended to clean laboratory surfaces with 0.9–1.8% hypochlorite in order to eliminate laboratory contamination and simultaneously minimise any poisonous gases. [ABSTRACT FROM AUTHOR]

• Tape strips, stored at room temperature for up to 3 days, can assess the transcriptome of SC. • Known markers of AD can be assessed by RNA from tape strip samples. • Tape strips have clinically potential for outpatient sampling. • The global difference of RNA from SC and epidermis is driven by structural genes. Skin biopsies represent a gold standard in skin immunology and pathology but can cause pain and induce scarring. Non-invasive techniques will facilitate study recruitment of e.g. patients with paediatric atopic dermatitis (AD), hand eczema or facial dermatitis. By RNA sequencing, we examined whether the stratum corneum transcriptome in AD skin can be assessed by tape stripping, as compared to the epidermal transcriptome of AD in skin biopsies. To make the procedure clinically relevant tape strips were stored and shipped at room temperature for up to 3 days. Nine adult Caucasian AD patients and three healthy volunteers were included. Tape samples were collected from non-lesional and lesional skin. Biopsies were collected from lesional skin and were split into epidermis and dermis. Total RNA was extracted, and shotgun sequencing was performed. Shotgun sequencing could be performed on skin cells obtained from two consecutive tape strips which had been stored and shipped at room temperature for up to three days. The most prominent differences between the tape strip and biopsy derived transcriptome were due to structural genes, while established molecular markers of AD, including CCL17, CCL22, IL17A and S100A7-S100A9, were also identified in tape strip samples. Furthermore, the tape strip derived transcriptome showed promise in also analysing the skin microbiome. Our study shows that the stratum corneum (SC) transcriptome of AD can be assessed by tape stripping the skin, supporting that this method may be central in future skin biomarker research. NCBI GEO data accession: GSE160501 [ABSTRACT FROM AUTHOR]