Proteomics

Dataset Information

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ProteoViz: A toolset for interactive analysis of phosphoproteomics data


ABSTRACT: Quantitative proteomics generates large datasets with increasing depth and quantitative information. Even after data processing and statistical analysis, interpreting the results and relating their significance back to the system of study remains challenging. Often, this process is performed by scientists with expertise in their field, but limited experience in proteomic or phosphoproteomic analysis. We developed a set of tools for simple, interactive exploration of phosphoproteomics data that can be easily interpreted into biological knowledge. These tools are designed to expedite the processes of reviewing raw data from statistical output, identifying and verifying enriched sequence motifs, and viewing the data from the perspective of functional pathways. Here, we present the workflow and demonstrate its functionality by analyzing a phosphoproteomic data set from two lymphoma cell lines treated with kinase inhibitors.

INSTRUMENT(S): Orbitrap Fusion Lumos

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): B Cell, Cell Culture

DISEASE(S): Lymphoma

SUBMITTER: Stephanie Byrum  

LAB HEAD: Stephanie Diane Byrum

PROVIDER: PXD015606 | Pride | 2020-05-07

REPOSITORIES: Pride

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Publications


Quantitative proteomics generates large datasets with increasing depth and quantitative information. With the advance of mass spectrometry and increasingly larger data sets, streamlined methodologies and tools for analysis and visualization of phosphoproteomics are needed both at the protein and modified peptide levels. To assist in addressing this need, we developed ProteoViz, which includes a set of R scripts that perform normalization and differential expression analysis of both the proteins  ...[more]

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