What’s new in the IPA Winter Release (December 2016)

 

Enhanced phosphoproteomics data visualization

Changes in the phosphorylation states of proteins is an important regulatory mechanism in cells. Now you can get more from your phosphoproteomics datasets in IPA with improvements to phosphorylation data upload and visualization.

Last September the IPA Fall Release added a new data type to IPA to support the upload of protein or gene IDs along with corresponding phosphorylation increases or decreases represented as fold change (or log ratio). With this December release you can now upload the corresponding individual phospho sites for display on networks and pathways. These can be represented with any text you wish; such as the actual phosphorylated peptide, e.g. _FSSS(ph)QPEPR_ as shown in Figure 1 below, just a residue number (e.g. Y347), or any combination of text and numbers.

 

What’s new for the Winter Release:

1) Visualize multiple differentially phosphorylated sites (phospho peptides) on networks and pathways.

Fig 1. Display multiple phospho sites from an uploaded “phospho” dataset. Top image: The small badge at the top right of the node indicates how many phospho sites are in the dataset or that passed your cutoffs in an analysis (depending on whether a dataset or analysis is overlaid). In this example, two phospho peptides for Chk1 passed the analysis cutoff for Phospho Fold Change. Clicking the badge shows the differential phosphorylation as a heat map alongside the phosphorylated peptide sites (if uploaded in the dataset). Bottom image: Example of phosphorylation sites uploaded in the dataset (right column).

 

 

2) Easily identify the proteins on networks and pathways where IPA predicts that increases in phosphorylation inhibits their activity or where decreases in phosphorylation increases their activity. The activity of certain proteins is more likely to be inhibited by phosphorylation than activated by it. In the example below the Molecular Activity Predictor, with overlaid phospho data, indicates this by using blue or orange halos to indicate the predicted activity.

 

Fig 2. MAP (Molecule Activity Predictor) now uses colored halos around nodes on networks and pathways to indicate the activity for proteins which are inhibited by phosphorylation. Phosphorylation fold change data has been overlaid on CFL1 and GSK3B. CFL1 has increased phosphorylation in this dataset and MAP indicates that its activity is inhibited with the blue halo. GSK3B has decreased phosphorylation in the dataset and MAP indicates that it is likely activated using the orange halo. The full list of proteins where phosphorylation is expected to be inhibitory is available here in the IPA help portal.

 

Get more from your phosphoproteomics datasets in IPA. If you’re an existing customer, launch IPA from your desktop and check out the new features. If you need to install IPA, click here.

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