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Articles by Michael Ivan
TM184C is a GPCR-like regulator of intercellular exchange and autophagy
Abstract Sequence similarity underlies most protein annotation, yet many functions remain hidden beyond detectable homology1,2,3. By mining millions of AlphaFold2 models4,5, we identify two human families of ‘superdark’ seven-transmembrane proteins—TM184 and PRRT—with structural homology to G-protein-coupled receptors (GPCRs). These proteins exhibit hallmark GPCR activities, including β-arrestin recruitment and GPCR kinase (GRK)-dependent phosphorylation.
Low carbohydrate high fat diet curbs glioblastoma by shifting lipids and limiting cancer stem cell metabolic flexibility
Abstract Metabolic rewiring fuels tumorigenicity of cancer stem cells contributing to universal glioblastoma (GBM) recurrence. Invasive glioblastoma stem cells (GSCs), already unresectable, acquire tumorigenic properties that confer therapy resistance. Using samples from both recurrent and newly diagnosed GBM patients, we identified fatty acid oxidation (FAO) as a key pathway supporting GSC tumorigenicity.
Restraint of cancer cell plasticity by spatial homotypic clustering
Keywords cancer cell plasticity glioblastoma intratumor heterogeneity single-cell spatial transciptomic single-cell spatial proteomics tumor ecosystem Introduction Aggressiveness and therapy resistance in cancer have been attributed to intratumor heterogeneity, a hallmark of malignant tumors initially inferred by transcriptome analysis of bulk tumors and clearly defined by the studies of the transcriptome of single cells.1,2,3,4 Molecular heterogeneity is fueled by plasticity, a feature...
Identification of disease-specific vulnerability states at the single-cell level
Abstract Extensive intratumor heterogeneity in glioblastoma (GBM) impedes successful treatment and complicates drug discovery as it is not obvious which cells a tumor is most dependent on. Here, we posit that single-cell-resolution transcriptomic data can be integrated with loss-of-function screens to identify the most critical cells to target within a tumor.
Near real-time intraoperative brain tumor diagnosis using stimulated Raman histology and deep neural networks
Abstract Intraoperative diagnosis is essential for providing safe and effective care during cancer surgery1. The existing workflow for intraoperative diagnosis based on hematoxylin and eosin staining of processed tissue is time, resource and labor intensive2,3. Moreover, interpretation of intraoperative histologic images is dependent on a contracting, unevenly distributed, pathology workforce4.
Eureka’s own school of rock
The little house on the hill belts out rhythm as drum beats spill onto the sidewalk, half a minute later a piano melody floats off the front porch. Inside, bouncing from instrument to instrument is Brian Archuleta, owner and instructor of the soul kitchen known as the Eureka Music School. The living room is like a music store: Drum sets sit ready one in each of the far corners, Fender and Peavey amps line the walls, acoustic and electric guitars, a cello and keyboard fill out the front room.
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