KiRNet: Kinase-centered network propagation of pharmacological screen results.

The ever-increasing size and scale of biological information have popularized network-based approaches as a means to interpret these data. We develop a network propagation method that integrates kinase-inhibitor-focused functional screens with known protein-protein interactions (PPIs). This method, dubbed KiRNet, uses an a priori edge-weighting strategy based on node degree to establish a pipeline from a kinase inhibitor screen to the generation of a predictive PPI subnetwork. We apply KiRNet to uncover molecular regulators of mesenchymal cancer cells driven by overexpression of Frizzled 2 (FZD2). KiRNet produces a network model consisting of 166 high-value proteins. These proteins exhibit FZD2-dependent differential phosphorylation, and genetic knockdown studies validate their role in maintaining a mesenchymal cell state. Finally, analysis of clinical data shows that mesenchymal tumors exhibit significantly higher average expression of the 166 corresponding genes than epithelial tumors for nine different cancer types.

Expansion sequencing: Spatially precise in situ transcriptomics in intact biological systems.

Methods for highly multiplexed RNA imaging are limited in spatial resolution and thus in their ability to localize transcripts to nanoscale and subcellular compartments. We adapt expansion microscopy, which physically expands biological specimens, for long-read untargeted and targeted in situ RNA sequencing. We applied untargeted expansion sequencing (ExSeq) to the mouse brain, which yielded the readout of thousands of genes, including splice variants. Targeted ExSeq yielded nanoscale-resolution maps of RNAs throughout dendrites and spines in the neurons of the mouse hippocampus, revealing patterns across multiple cell types, layer-specific cell types across the mouse visual cortex, and the organization and position-dependent states of tumor and immune cells in a human metastatic breast cancer biopsy. Thus, ExSeq enables highly multiplexed mapping of RNAs from nanoscale to system scale.

Pan-cancer analysis of the developmental pathways reveals non-canonical wnt signaling as a driver of mesenchymal-type tumors.

The processes of angiogenesis, cell proliferation, invasion, and migration, and the signaling pathways that drive these events, are activated in both cancer and during embryonic development. Here, we systematically assessed how the activity of major developmental signaling pathways, represented by the expression of genes encoding components of the pathways, correlated with patient survival in ∼8000 patients across 17 cancer types. We also compared the expressed genes enriched in developmental pathways with those associated with epithelial-mesenchymal transition (EMT) both in a cancer cohort and in mice during embryonic development. We found that EMT and gene expression profiles consistent with high activity of several developmental pathways, including the TGFß, Notch, and non-canonical Wnt pathways, significantly correlated with poor patient survival in multiple cancer types. We investigated individual components of these pathways and found that expression of the gene encoding the non-canonical Wnt receptor, frizzled 2 (FZD2), is highly correlated with both poor patient survival and gene expression indicating EMT in the tumors. Further mechanistic studies and pathway analyses revealed that FZD2-regulated genes in cancer cells in culture or FZD2-regulated gene sets from the TCGA data or FZD2-regulated genes involved in mouse organogenesis converged in EMT-associated biological processes, suggesting that FZD2 is a key driver of mesenchymal-like cell state and thus, a contributor to cancer progression and metastasis.