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. 2017 Aug 1;7:7042. doi: 10.1038/s41598-017-07127-6

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© The Author(s) 2017

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Principal component analysis of CSF proteomes. The quantitative proteome profiles obtained by label-free analysis using Progenesis QI were used to inform a principal components analysis in R. To correct for loading variance, each log protein summed intensity was normalised and expressed as z-score within the CSF sample. (Panel a) shows the result for the first cohort and (Panel b) for the second cohort. Control samples are defined by blue symbols, infected samples by red symbols.