High-Throughput Screen in Cryptococcus neoformans Identifies a Novel Molecular Scaffold That Inhibits Cell Wall Integrity Pathway Signaling

Cryptococcus neoformans is one of the most important human fungal pathogens; however, no new therapies have been developed in over 50 years. Fungicidal activity is crucially important for an effective anticryptococal agent and, therefore, we screened 361,675 molecules against C. neoformans using an adenylate kinase release assay that specifically detects fungicidal activity. A set of secondary assays narrowed the set of hits to molecules that interfere with fungal cell wall integrity and identified three benzothioureas with low in vitro mammalian toxicity and good in vitro anticryptococcal (minimum inhibitory concentration = 4 μg/mL). This scaffold inhibits signaling through the cell wall integrity MAP kinase cascade. Structure–activity studies indicate that the thiocarbonyl moiety is crucial for activity. Genetic and biochemical data suggest that benzothioureas inhibit signaling upstream of the kinase cascade. Thus, the benzothioureas appear to be a promising new scaffold for further exploration in the search for new anticryptococcal agents

Rab8a interacts directly with PI3Kgamma to modulate TLR4-driven PI3K and mTOR signalling

Toll-like receptor 4 (TLR4) is activated by bacterial lipopolysaccharide (LPS) to mount innate immune responses. The TLR4-induced release of pro- and anti-inflammatory cytokines generates robust inflammatory responses, which must then be restrained to avoid disease. New mechanisms for the critical regulation of TLR-induced cytokine responses are still emerging. Here we find TLR4 complexes localized in LPS-induced dorsal ruffles on the surface of macrophages. We discover that the small GTPase Rab8a is enriched in these ruffles and recruits phosphatidylinositol 3-kinase (PI3K 3) as an effector by interacting directly through its Ras-binding domain. Rab8a and PI3K 3 function to regulate Akt signalling generated by surface TLR4. Rab8a and PI3K 3 do not affect TLR4 endocytosis, but instead regulate mammalian target of rapamycin signalling as a mechanism for biasing the cytokine profile to constrain inflammation in innate immunity

A small-molecule inducer of PDX1 expression identified by high-throughput screening

Pancreatic and duodenal homeobox 1 (PDX1), a member of the homeodomain-containing transcription factor family, is a key transcription factor important for both pancreas development and mature β cell function. The ectopic overexpression of Pdx1, Neurog3, and MafA in mice reprograms acinar cells to insulin-producing cells. We developed a quantitative PCR-based gene expression assay to screen more than 60,000 compounds for expression of each of these genes in the human PANC-1 ductal carcinoma cell line. We identified BRD7552, which upregulated PDX1 expression in both primary human islets and ductal cells, and induced epigenetic changes in the PDX1 promoter consistent with transcriptional activation. Prolonged compound treatment induced both insulin mRNA and protein and also enhanced insulin expression induced by the three-gene combination. These results provide a proof of principle for identifying small molecules that induce expression of transcription factors to control cellular reprogramming

Discovering metabolic disease gene interactions by correlated effects on cellular morphology

Objective: Impaired expansion of peripheral fat contributes to the pathogenesis of insulin resistance and Type 2 Diabetes (T2D). We aimed to identify novel disease-gene interactions for adipogenesis and insulin resistance. Methods: To this end, we mined disease associated loci for T2D, adiposity and insulin resistance for adipose expressed genes and ablated the top 100 in human pre-adipocytes via CRISPR/CAS9. The resulting cellular phenotypes were quantified during adipocyte differentiation with high-content imaging to obtain over 107 morphometric measurements. Morphologic profiles were constructed for each gene from these measurements and clustered by morphologic similarity. Results: Clustering revealed a group of 14 genes characterized by decreased lipid accumulation, and enriched with known lipodystrophy genes. For two lipodystrophy genes, BSCL2 and AGPAT2, sub-clusters with PLIN1 and CEBPA based on morphology were validated by independent experiments as novel protein-protein and gene regulatory interactions. Conclusions: Thus, a morphometric approach in adipocytes can resolve multiple cellular mechanisms for metabolic disease loci; the platform enables mechanistic interrogation of the hundreds of metabolic disease loci whose function still remains unknown