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The TB-IRIS neutrophil proteome: bioinformatic challenges

Published: 02 October 2016 Publication History

Abstract

Profiling the neutrophil cellular proteome elucidates mechanisms of TB-IRIS molecular immunopathogenesis.

References

[1]
Lawn S.D. and Churchyard G. 2009. Epidemiology of HIV-associated tuberculosis. Curr. Opin. HIV AIDS 4, 4, 325--33.
[2]
Lai R.P.J., Meintjes G., and Wilkinson R.J. 2016. HIV-1 tuberculosis-associated immune reconstitution inflammatory syndrome. Seminars in Immunopathology 38, 185--198.
[3]
Cox J. and Mann M. 2008. MaxQuant enables high peptide identification rates, individualized p.p.b.-range mass accuracies and proteome-wide protein quantification. Nature Biotechnology 26, 1367--1372.
[4]
R Development Core Team 2008. R: A language and environment for statistical computing.

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  1. The TB-IRIS neutrophil proteome: bioinformatic challenges

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    cover image ACM Conferences
    BCB '16: Proceedings of the 7th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics
    October 2016
    675 pages
    ISBN:9781450342254
    DOI:10.1145/2975167
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Publication History

    Published: 02 October 2016

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    Author Tags

    1. Systems biology
    2. bioinformatics
    3. clinical proteomics
    4. complex dynamic systems
    5. high-dimensional data
    6. immunology
    7. neutrophils
    8. paradoxical TB-IRIS

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