KLRD1-expressing natural killer cells predict influenza susceptibility-Reference-Cited by-同舟云学术

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KLRD1-expressing natural killer cells predict influenza susceptibility

Published:2018-06-14 Issue:1 Volume:10 Page:
ISSN:1756-994X
Container-title:Genome Medicine
language:en
Short-container-title:Genome Med

Author:

Bongen Erika^ORCID,Vallania Francesco,Utz Paul J.,Khatri Purvesh

Funder

Bill and Melinda Gates Foundation

National Institute of Allergy and Infectious Diseases

Donald E. and Delia B. Baxter Foundation

Henry Gustav Floren Trust

National Institutes of Health

Stanford Gabilan Graduate Fellowship in Science and Engineering

Stanford Women and Sex Differences in Medicine Seed Grant

Publisher

Springer Science and Business Media LLC

Subject

Genetics (clinical),Genetics,Molecular Biology,Molecular Medicine

Link

http://link.springer.com/content/pdf/10.1186/s13073-018-0554-1.pdf

Reference43 articles.

1. CDC: Disease Burden of Influenza [ https://www.cdc.gov/flu/about/disease/burden.htm ].

2. Zaas AK, Chen M, Varkey J, Veldman T, Hero AO 3rd, Lucas J, Huang Y, Turner R, Gilbert A, Lambkin-Williams R, et al. Gene expression signatures diagnose influenza and other symptomatic respiratory viral infections in humans. Cell Host Microbe. 2009;6(3):207–17.

3. Woods CW, McClain MT, Chen M, Zaas AK, Nicholson BP, Varkey J, Veldman T, Kingsmore SF, Huang Y, Lambkin-Williams R, et al. A host transcriptional signature for presymptomatic detection of infection in humans exposed to influenza H1N1 or H3N2. PLoS One. 2013;8(1):e52198.

4. Muller J, Parizotto E, Antrobus R, Francis J, Bunce C, Stranks A, Nichols M, McClain M, Hill AVS, Ramasamy A, et al. Development of an objective gene expression panel as an alternative to self-reported symptom scores in human influenza challenge trials. J Transl Med. 2017;15(1):134.

5. Davenport EE, Antrobus RD, Lillie PJ, Gilbert S, Knight JC. Transcriptomic profiling facilitates classification of response to influenza challenge. J Mol (Berlin). 2015;93(1):105–14.

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