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. 2020 Jun 19;12:75. doi: 10.1186/s13195-020-00641-2

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© The Author(s) 2020

Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 2 — AD and control brains segregate into distinct clusters. Bioinformatic analysis of aggregated proteins in AD and control brains. a Venn diagram of expressed proteins (more than half of the biological replicates with non-zero counts) in soluble and pellet fractions of AD and control individuals. b Principle component analysis (PCA) plot of insoluble ratios for all proteins across individuals. Red = AD patients, blue = control patients. c Heatmap of 342 proteins with significantly different insoluble ratios between AD and control individuals. Values are z-scaled quantile normalized log-transformed spectral counts. Red = high, blue = low. d Bar plot of significantly enriched gene ontology (GO) biological process (BP) terms for the 342 proteins