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Fabricating Multi-Component Lipid Nanotube Networks Using the Gliding Kinesin Motility Assay
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Identification of Novel Components of Target-of-Rapamycin Signaling Pathway by Network-Based Multi-Omics Integrative
Elif Dereli Eke1,2, Kazim Yalcin Arga3, Duygu Dikicioglu2,4
11 Department of Information Engineering, University of Padua, Padua, Italy.
Omics : a Journal of Integrative Biology
|April 16, 2019
Summary
Researchers identified seven new proteins involved in yeast
Area of Science:
- Molecular Biology
- Systems Biology
- Genomics
Background:
- The Target of Rapamycin (TOR) pathway regulates cell growth and is crucial in diseases like cancer and diabetes.
- Identifying novel components of TOR signaling is vital for discovering new biomarkers and drug targets.
Purpose of the Study:
- To discover previously unknown components of TOR signaling using a multiomics approach in yeast.
- To integrate transcriptomics, interactomics, and regulomics data for network analysis.
Main Methods:
- Constructed a TOR-signaling protein interaction network.
- Scored signaling paths based on gene co-expression in response to rapamycin and caffeine.
- Utilized a network-based multiomics approach in Saccharomyces cerevisiae.
Main Results:
- Identified seven unannotated proteins (Atg14p, Rim20p, Ret2p, Spt21p, Ylr257wp, Ymr295cp, Ygr017wp) as potential TOR signaling components.
- Ylr257wp's removal disrupted signal transduction to the TORC1 effector kinase Npr1p, highlighting its significance.
Conclusions:
- Network-based multiomics data integration effectively reveals novel signaling pathway components.
- The identified proteins, particularly Ylr257wp, represent promising targets for future experimental validation in TOR signaling research.
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