Integrated compound profiling screens identify the mitochondrial electron transport chain as the molecular target of the natural products manassantin, sesquicillin, and arctigenin.

Phenotypic compound screens can be used to identify novel targets in signaling pathways and disease processes, but the usefulness of these screens depends on the ability to quickly determine the target and mechanism of action of the molecules identified as hits. One fast route to discovering the mechanism of action of a compound is to profile its properties and to match this profile with those of compounds of known mechanism of action. In this work, the Novartis collection of over 12,000 pure natural products was screened for effects on early zebrafish development. The largest phenotypic class of hits, which caused developmental arrest without necrosis, contained known electron transport chain inhibitors and many compounds of unknown mechanism of action. High-throughput transcriptional profiling revealed that these compounds are mechanistically related to one another. Metabolic and biochemical assays confirmed that all of the molecules that induced developmental arrest without necrosis inhibited the electron transport chain. These experiments demonstrate that the electron transport chain is the target of the natural products manassantin, sesquicillin, and arctigenin. The overlap between the zebrafish and transcriptional profiling screens was not perfect, indicating that multiple profiling screens are necessary to fully characterize molecules of unknown function. Together, zebrafish screening and transcriptional profiling represent sensitive and scalable approaches for identifying bioactive compounds and elucidating their mechanism of action.

Single-vector inducible lentiviral RNAi system for oncology target validation.

The use of RNA interference (RNAi) has enabled loss-of-function studies in mammalian cancer cells and has hence become critical for identifying and validating cancer drug targets. Current transient siRNA and stable shRNA systems, however, have limited utility in accurately assessing the cancer dependency due to their short-lived effects and limited in vivo utility, respectively. In this study, a single-vector lentiviral, Tet-inducible shRNA system (pLKO-Tet-On) was generated to allow for the rapid generation of multiple stable cell lines with regulatable shRNA expression. We demonstrate the advantages and versatility of this system by targeting two polycomb group proteins, Bmi-1 and Mel-18, in a number of cancer cell lines. Our data show that pLKO-Tet-On-mediated knockdown is tightly regulated by the inducer tetracycline and its derivative, doxycycline, in a concentration- and time-dependent manner. Furthermore, target gene expression is fully restored upon withdrawal of the inducing agent. An additional, 17 distinct gene products have been targeted by inducible shRNAs with robust regulation in all cases. Importantly, we functionally validate the ability of the pLKO-Tet-On vector to reversibly silence targeted transcripts in vivo. The versatile and robust inducible lentiviral RNAi system reported herein can therefore serve as a powerful tool to rapidly reveal tumor cell dependence.

Contribution of polycomb homologues Bmi-1 and Mel-18 to medulloblastoma pathogenesis.

Bmi-1 and Mel-18 are structural homologues that belong to the Polycomb group of transcriptional regulators and are believed to stably maintain repression of gene expression by altering the state of chromatin at specific promoters. While a number of clinical and experimental observations have implicated Bmi-1 in human tumorigenesis, the role of Mel-18 in cancer cell growth has not been investigated. We report here that short hairpin RNA-mediated knockdown of either Bmi-1 or Mel-18 in human medulloblastoma DAOY cells results in the inhibition of proliferation, loss of clonogenic survival, anchorage-independent growth, and suppression of tumor formation in nude mice. Furthermore, overexpression of both Bmi-1 and Mel-18 significantly increases the clonogenic survival of Rat1 fibroblasts. In contrast, stable downregulation of Bmi-1 or Mel-18 alone does not affect the growth of normal human WI38 fibroblasts. Proteomics-based characterization of Bmi-1 and Mel-18 protein complexes isolated from cancer cells revealed substantial similarities in their respective compositions. Finally, gene expression analysis identified a number of cancer-relevant pathways that may be controlled by Bmi-1 and Mel-18 and also showed that these Polycomb proteins regulate a set of common gene targets. Taken together, these results suggest that Bmi-1 and Mel-18 may have overlapping functions in cancer cell growth.

Validating cancer drug targets.

A cancer drug target is only truly validated by demonstrating that a given therapeutic agent is clinically effective and acts through the target against which it was designed. Nevertheless, it is desirable to declare an early-stage drug target as 'validated' before investing in a full-scale drug discovery programme dedicated to it. Although the outcome of validation studies can guide cancer research programmes, strictly defined universal validation criteria have not been established.

Targeting of proteins to membranes through hedgehog auto-processing.

Hedgehog proteins use an auto-processing strategy to generate cholesterol-conjugated peptide products that act as extracellular ligands in a number of developmental signaling pathways. We describe an approach that takes advantage of the hedgehog auto-processing reaction to carry out intracellular modification of heterologous proteins, resulting in their localization to cell membranes. Such processing occurs spontaneously, without accessory proteins or modification by other enzymes. Using the green fluorescent protein (GFP) and the product of the Hras as model proteins, we demonstrate the use of hedgehog auto-processing to process heterologous N-terminal domains and direct the resulting biologically active products to cell membranes. This system represents a tool for targeting functional peptides and proteins to cell membranes, and may also offer a means of directing peptides or other small molecules to components of cholesterol metabolism or regulation.

Characterization of mutations in NOT2 indicates that it plays an important role in maintaining the integrity of the CCR4-NOT complex.

The NOT2 protein is a component of the CCR4-NOT complex that plays multiple roles in the regulation of mRNA production in the yeast Saccharomyces cerevisiae. We have identified four novel not2 mutations and have characterized these and two previously described alleles as to the means by which they affect CCR4-NOT function. While two of the not2 alleles, not2-4 (carrying a G31R alteration) and not2::L9P, resulted in severe growth defects and caused a not phenotype at the HIS3 locus, these phenotypes appear to arise from partially different effects. The not2::L9P mutation resulted in complete loss of the 1.9x10(6)Da (1.9MDa) CCR4-NOT complex, and the not2::L9P protein displayed increased ability to associate with the NOT5 protein. In contrast, the not2-4 allele destabilized the CCR4-NOT complex to a lesser extent and had no effect on NOT5 association with NOT2. Instead, as previously reported, it displayed defective interactions with ADA2, a component of the SAGA complex. The not2::R165G also abrogated NOT2 ability to interact with ADA2 but had little effect on the integrity of the CCR4-NOT complex. Alterations in NOT2 contacts to ADA2, therefore, do not necessarily result in effects on the CCR4-NOT complex nor result in severe growth defects. We also observed that the four NOT2 N-terminal mutations affected NOT5 association with the CCR4-NOT complexes, suggesting that it is the N terminus of NOT2 that contacts and stabilizes NOT5 interactions. These results indicate that it is the loss of the integrity of the CCR4-NOT complex which leads to severe not2 phenotypes and that the NOT2 contacts to ADA2 play a lesser role in NOT2 function.