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. 2020 Dec 16;8(2):e001510. doi: 10.1136/jitc-2020-001510

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© Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See http://creativecommons.org/licenses/by-nc/4.0/.

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A prostate cancer-specific peptide microarray was able to reproducibly measure antibody signatures from serum of healthy individuals and patients with prostate cancer. Summary of the (A) subcellular localization and (B) length in amino acids of all 1611 unique proteins on the array according to UniProt. (C) The mean correlation coefficient among all pairs of different individuals (average pair) compared with the average correlation coefficient among all technical replicates (replicate). Error bars represent SD. (D) Histogram depicting the ratio of the biological variation to the total variation of the array data for each peptide as estimated by a linear mixed-effects model. (E) Each point represents the correlation coefficient between antibody responses in two different serum samples. Points marked in red are instances when the same individual had serum collected at two different time points with different stages of disease. ER, endoplasmic reticulum; lncRNA, long non-coding RNAs.