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. 2018 Nov 21;9:4910. doi: 10.1038/s41467-018-07463-9

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© The Author(s) 2018

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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Fig. 4 — Integrative analyses of the mouse stomach proteome and transcriptome. a Protein–RNA correlation was calculated via Pearson’s correlation coefficients using normalized scores (z-scores) across each gene product in all timepoints. Positively correlated genes and their enriched pathways are shown in red, and negatively correlated genes and their enriched pathways are shown in blue. b A pipeline to discover novel splice-junction peptides. c The relative abundances of 60 novel splice-junction peptides across all 15 timepoints. Stars are unannotated transcripts