Deep Sequencing in Infectious Diseases: Immune and Pathogen Repertoires for the Improvement of Patient Outcomes

Deep Sequencing in Infectious Diseases: Immune and Pathogen Repertoires for the Improvement of Patient Outcomes
Title:
Deep Sequencing in Infectious Diseases: Immune and Pathogen Repertoires for the Improvement of Patient Outcomes
Other Titles:
Frontiers in Immunology
Keywords:
Publication Date:
01 June 2017
Citation:
Burkholder WF, Newell EW, Poidinger M, Chen S and Fink K (2017) Deep Sequencing in Infectious Diseases: Immune and Pathogen Repertoires for the Improvement of Patient Outcomes. Front. Immunol. 8:593. doi: 10.3389/fimmu.2017.00593
Abstract:
The inaugural workshop “Deep Sequencing in Infectious Diseases: Immune and Pathogen Repertoires for the Improvement of Patient Outcomes” was held in Singapore on 13–14 October 2016. The aim of the workshop was to discuss the latest trends in using high-throughput sequencing, bioinformatics, and allied technologies to analyze immune and pathogen repertoires and their interplay within the host, bringing together key international players in the field and Singapore-based researchers and clinician-scientists. The focus was in particular on the application of these technologies for the improvement of patient diagnosis, prognosis and treatment, and for other broad public health outcomes. The presentations by scientists and clinicians showed the potential of deep sequencing technology to capture the coevolution of adaptive immunity and pathogens. For clinical applications, some key challenges remain, such as the long turnaround time and relatively high cost of deep sequencing for pathogen identification and characterization and the lack of international standardization in immune repertoire analysis.
License type:
http://creativecommons.org/licenses/by-nd/4.0/
Funding Info:
We are grateful to all workshop participants for the good discussion, and we would like to thank the presenters mentioned in this report for their helpful feedback on the manuscript. This work was funded by The Courage Fund, Singapore and the Agency for Science, Technology and Research (A*STAR), Singapore.
Description:
ISSN:
1664-3224
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