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Open Access

Correction

Correction: Temporal Expression of Peripheral Blood Leukocyte Biomarkers in a Macaca fascicularis Infection Model of Tuberculosis; Comparison with Human Datasets and Analysis with Parametric/Non-parametric Tools for Improved Diagnostic Biomarker Identification

  • Sajid Javed,
  • Leanne Marsay,
  • Alice Wareham,
  • Kuiama S. Lewandowski,
  • Ann Williams,
  • Michael J. Dennis,
  • Sally Sharpe,
  • Richard Vipond,
  • Nigel Silman,
  • Graham Ball,
  • Karen E. Kempsell
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The text in Fig 1 highlighting rows of expression data by week is incorrectly reversed. The authors have provided a corrected version here.

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Fig 1. Cluster analysis of temporally expressed entities in peripheral blood leukocytes of Cynomolgus Macaques (all animals) pre-(week 0) or post (weeks 1–6) aerosol-challenge with M. tuberculosis.

These exhibit patterns of up- (cluster 2) or down-regulation (cluster 1) across the six week time course of the experiment. Cluster 2b1 (highlighted) contains co-expressed entities, FOS, IL8 and KLF2.

https://doi.org/10.1371/journal.pone.0159783.g001

Reference

  1. 1. Javed S, Marsay L, Wareham A, Lewandowski KS, Williams A, Dennis MJ, et al. (2016) Temporal Expression of Peripheral Blood Leukocyte Biomarkers in a Macaca fascicularis Infection Model of Tuberculosis; Comparison with Human Datasets and Analysis with Parametric/Non-parametric Tools for Improved Diagnostic Biomarker Identification. PLoS ONE 11(5): e0154320. pmid:27228113

Citation: Javed S, Marsay L, Wareham A, Lewandowski KS, Williams A, Dennis MJ, et al. (2016) Correction: Temporal Expression of Peripheral Blood Leukocyte Biomarkers in a Macaca fascicularis Infection Model of Tuberculosis; Comparison with Human Datasets and Analysis with Parametric/Non-parametric Tools for Improved Diagnostic Biomarker Identification. PLoS ONE 11(7): e0159783. https://doi.org/10.1371/journal.pone.0159783

Published: July 18, 2016

Copyright: © 2016 Javed et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.