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Open Access

Correction

Correction: Expression profiling of disease progression in canine model of Duchenne muscular dystrophy

  • Candice Brinkmeyer-Langford,
  • Candice Chu,
  • Cynthia Balog-Alvarez,
  • Xue Yu,
  • James J. Cai,
  • Mary Nabity,
  • Joe N. Kornegay
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Fig 2 is missing panel C. Please see the complete, correct Fig 2 here.

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Fig 2. Principal component and hierarchical analysis for all dogs at both time points.

Principal component 1 (PC1) and Principal component 2 (PC2) were identified by logarithm transformation in DESeq2 at two time points. 75% and 9% variance were explained by PC1 and PC2, respectively. A) shows the principal component analysis for the three groups of dogs: red circles indicate controls, green represents fast-progressing dogs, and blue represents slower-progressing dogs. B) shows the principal component analysis for the two time points: here, red circles represent T1 (age 3 months), and green circles represent T2 (age 6 months). C) is a heatmap showing sample-to-sample distances. Distance was analyzed by logarithm transformation in DESeq2.

https://doi.org/10.1371/journal.pone.0236916.g001

Reference

  1. 1. Brinkmeyer-Langford C, Chu C, Balog-Alvarez C, Yu X, Cai JJ, Nabity M, et al. (2018) Expression profiling of disease progression in canine model of Duchenne muscular dystrophy. PLoS ONE 13(3): e0194485. https://doi.org/10.1371/journal.pone.0194485 pmid:29554127

Citation: Brinkmeyer-Langford C, Chu C, Balog-Alvarez C, Yu X, Cai JJ, Nabity M, et al. (2020) Correction: Expression profiling of disease progression in canine model of Duchenne muscular dystrophy. PLoS ONE 15(7): e0236916. https://doi.org/10.1371/journal.pone.0236916

Published: July 23, 2020

Copyright: © 2020 Brinkmeyer-Langford 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.