Figure - PMC

Skip to main content

An official website of the United States government

Here's how you know

Here's how you know

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

View full-text article in PMC

. 2020 Sep 24;10:15613. doi: 10.1038/s41598-020-72391-y

Search in PMC
Search in PubMed
View in NLM Catalog
Add to search

© The Author(s) 2020

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 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/.

PMC Copyright notice

Clustering analysis of phosphoproteome changes upon Ppz1 overexpression. (a) The set of proteins dephosphorylated at t = 120 and t = 240 (72 and 107, respectively) were subjected to Gene Ontology analysis using the YeastMine tool at SGD with default settings. (b) Data from 385 phosphosites (phospho- or dephosphorylated) was calculated as the ratio between Ppz1-overexpressing cells and control cells. Log(2) transformed data was clustered with the Gene Cluster software (Euclidean distance/complete linkage) and the result was visualized with Java Tree View (v. 1.145). The intensity of the phosphorylation change can be deduced by comparison with the enclosed scale (log(2) values). Data is presented for all time-points even if in some cases the p-value between experiments is > 0.05.