Systems-level reconstruction of kinase phosphosignaling networks regulating endothelial barrier integrity using...

Area of Science:

• Cellular Biology
• Biochemistry
• Computational Biology

Background:

• Phosphosignaling networks are crucial for regulating cellular processes.
• Understanding these networks is vital for deciphering cell function and disease mechanisms.

Purpose of the Study:

• To construct kinase-mediated regulatory networks in brain endothelial cells stimulated by thrombin.
• To compare two distinct computational strategies for network construction: Temporal Pathway Synthesizer (TPS) and Temporally REsolved KInase Network Generation (TREKING).

Main Methods:

• Utilized phosphoproteomics data as input for the Temporal Pathway Synthesizer (TPS).
• Employed kinase inhibitor screens as input for Temporally REsolved KInase Network Generation (TREKING).
• Analyzed and compared the network topologies and predicted kinases from both computational strategies.

Main Results:

• Both TPS and TREKING successfully predicted overlapping barrier-regulatory kinases.
• Each strategy revealed unique network topologies associated with the identified kinases.
• The computational approaches demonstrated complementary strengths in network elucidation.

Conclusions:

• Kinase-mediated signaling networks can be effectively modeled using distinct computational strategies.
• The identified kinases play significant roles in regulating endothelial barrier function.
• These methods are broadly applicable for dissecting regulatory signaling networks across diverse biological systems.