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. 2016 Nov 16;17:923. doi: 10.1186/s12864-016-3228-7

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© The Author(s). 2016

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 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.

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Fig. 1 — Principal component analysis of the mouse salivary glands at different developmental time points. a Experimental scheme. We isolated total RNA from whole salivary glands ranging from early embryo to adult, and performed RNA-seq. Utilizing these datasets, we defined and annotated the salivary gland transcriptional landscape by using various Gene Ontology (GO) annotation analyses (BiNGO GO, REVIGO GO) and pathway analyses (PANTHER/REACTOME/KEGG). b Proportion of variance in each principle component. PC1, PC2 and PC3 represent ~90% of variance in the data. c Projection plots show the PCA coordinates for each stage, which are indicated by different colors. The data indicates that the inherent variations in gene expression between biological samples can distinguish the developing salivary gland in a time dependent manner