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- W4383342451 abstract "Abstract Robust identification of context-specific network features that control cellular phenotypes remains a challenge. We here introduce MOBILE (Multi-Omics Binary Integration via Lasso Ensembles) to nominate molecular features associated with cellular phenotypes and pathways. First, we use MOBILE to nominate mechanisms of interferon-γ (IFNγ) regulated PD-L1 expression. Our analyses suggest that IFNγ-controlled PD-L1 expression involves BST2 , CLIC2 , FAM83D , ACSL5 , and HIST2H2AA3 genes, which were supported by prior literature. We also compare networks activated by related family members transforming growth factor-beta 1 (TGFβ1) and bone morphogenetic protein 2 (BMP2) and find that differences in ligand-induced changes in cell size and clustering properties are related to differences in laminin/collagen pathway activity. Finally, we demonstrate the broad applicability and adaptability of MOBILE by analyzing publicly available molecular datasets to investigate breast cancer subtype specific networks. Given the ever-growing availability of multi-omics datasets, we envision that MOBILE will be broadly useful for identification of context-specific molecular features and pathways." @default.
- W4383342451 created "2023-07-07" @default.
- W4383342451 creator A5062472517 @default.
- W4383342451 creator A5065224819 @default.
- W4383342451 creator A5084824340 @default.
- W4383342451 creator A5089614989 @default.
- W4383342451 date "2023-07-06" @default.
- W4383342451 modified "2023-10-14" @default.
- W4383342451 title "MOBILE pipeline enables identification of context-specific networks and regulatory mechanisms" @default.
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