An integrated approach to uncover drivers of cancer

Systematic characterization of cancer genomes has revealed a staggering number of diverse aberrations that differ among individuals, such that the functional importance and physiological impact of most tumor genetic alterations remain poorly defined. We developed a computational framework that integrates chromosomal copy number and gene expression data for detecting aberrations that promote cancer progression. We demonstrate the utility of this framework using a melanoma data set. Our analysis correctly identified known drivers of melanoma and predicted multiple tumor dependencies. Two dependencies, TBC1D16 and RAB27A, confirmed empirically, suggest that abnormal regulation of protein trafficking contributes to proliferation in melanoma. Together, these results demonstrate the ability of integrative Bayesian approaches to identify candidate drivers with biological, and possibly therapeutic, importance in cancer.     

p53 Regulation of Metabolic Pathways

During the course of tumorigenesis, cells acquire a number of alterations that contribute to the acquisition of the malignant phenotype, allowing them to survive and flourish in increasingly hostile environments. Cancer cells can be characterized by perturbations in the control of cell proliferation and growth, resistance to death, and alterations in their interactions with the microenvironment. Underpinning many of these changes are shifts in metabolism that allow cancer cells to use alternative pathways for energy production and building the macromolecules necessary for growth, as well as regulating the generation of signaling molecules such as reactive oxygen species (ROS). In the past few years, it became clear that p53, the most studied, if not most important, tumor suppressor protein, can also directly control metabolic traits of cells.Given the importance of metabolic reprogramming in tumor development, it is no surprise that many oncogenes and tumor suppressor genes have been shown to help control these pathways (DeBerardinis et al. 2008a; Tennant et al. 2009). In most cases, these effects are fairly clear—proteins that can promote cancer development drive the metabolic transformation associated with malignancies and tumor suppressor proteins oppose these effects. p53 plays a central and key role in preventing cancer development (Vousden and Prives 2009), but the regulation of metabolism by p53 is proving to be far from straightforward. Although the explanation for this complexity is not clear, there are several obvious and ultimately testable models. What is evident, however, is that the regulation of metabolic pathways is an important facet of p53 function that may provide us with some novel and effective new therapeutic targets, for cancer and maybe also other diseases.     

Evolutionary conservation of domain-domain interactions

Background

Recently, there has been much interest in relating domain-domain interactions (DDIs) to protein-protein interactions (PPIs) and vice versa, in an attempt to understand the molecular basis of PPIs.

Results

Here we map structurally derived DDIs onto the cellular PPI networks of different organisms and demonstrate that there is a catalog of domain pairs that is used to mediate various interactions in the cell. We show that these DDIs occur frequently in protein complexes and that homotypic interactions (of a domain with itself) are abundant. A comparison of the repertoires of DDIs in the networks of Escherichia coli, Saccharomyces cerevisiae, Caenorhabditis elegans, Drosophila melanogaster, and Homo sapiens shows that many DDIs are evolutionarily conserved.

Conclusion

Our results indicate that different organisms use the same 'building blocks' for PPIs, suggesting that the functionality of many domain pairs in mediating protein interactions is maintained in evolution.     

The role of AtMSH2 in homologous recombination in Arabidopsis thaliana

During homologous recombination (HR), a heteroduplex DNA is formed as a consequence of strand invasion. When the two homologous strands differ in sequence, a mismatch is generated. Earlier studies showed that mismatched heteroduplex often triggers abortion of recombination and that a pivotal component of this pathway is the mismatch repair Msh2 protein. In this study, we analysed the roles of AtMSH2 in suppression of recombination in Arabidopsis. We report that AtMSH2 has a broad range of anti-recombination effects: it suppresses recombination between divergent direct repeats in somatic cells or between homologues from different ecotypes during meiosis. This is the first example of a plant gene that affects HR as a function of sequence divergence and that has an anti-recombination meiotic effect. We discuss the implications of these results for plant improvement by gene transfer across species.     

A 1-Mb PAC contig spanning the common eliminated region 1 (CER1) in microcell hybrid-derived SCID tumors

We have developed an elimination test to identify chromosomal regions that contain tumor inhibitory genes. Monochromosomal human/mouse microcell hybrids are generated and passaged through SCID mice. Derived tumors are then analyzed for deletions on the transgenomic chromosome. Using this strategy, we have previously identified a 1.6-cM common eliminated region 1 (CER1) on human 3p21. 3. We now report that CER1 contains 14 markers that are deleted in 19 SCID-derived tumors. A 1-Mb PAC contig that spans CER1 was assembled. Five chemokine receptor genes (CCR1, CCR3, CCR2, CCR5, and CCR6) were localized in CER1 in a 225-kb cluster. The lactotransferrin gene (LTF, or lactoferrin, LF), which reportedly has tumor inhibitory activity, also maps to CER1. Our results create a basis for characterization and further functional testing of genes within CER1.     

Modeling sample disorder in site-specific dichroism studies of uniaxial systems

Site-specific infrared dichroism is an emerging method capable of proposing a model for the backbone structure of a transmembrane alpha-helix within a helical bundle. Dichroism measurements of single, isotopically enhanced vibrational modes (e.g., Amide I 13C=18O or Gly CD2 stretching modes) can yield precise orientational restraints for the monomer helix protomer that can be used as refinement constraints in model building of the entire helical bundle. Essential, however, for the interpretation of the dichroism measurements, is an accurate modeling of the sample disorder. In this study we derive an enhanced and more realistic modeling of the sample disorder based on a Gaussian distribution of the chromophore around a particular angle. The enhanced utility of the Gaussian model is exemplified by the comparative data analysis based on the aforementioned model to previously employed models.     

PKCeta associates with cyclin E/Cdk2 complex in serum-starved MCF-7 and NIH-3T3 cells

Protein kinase C (PKC) encodes a family of enzymes implicated in cellular differentiation, growth control, and tumor promotion. However, very little is known with respect to the molecular mechanisms that link protein kinase C to cell cycle control. Here we report that PKCeta associates with the cyclin E/Cdk2 complex. This is shown for the ectopically overexpressed PKCeta in NIH-3T3 cells, the inducibly expressed PKCeta in MCF-7 cells (under control of the tetracycline-responsive promoter), and the endogenously expressed PKCeta in mouse mammary epithelial HC11 cells. Subcellular cell fractionation experiments revealed that the complex with cyclin E is formed mostly in the nuclear fractions, although in these cells PKCeta is predominantly expressed in the cytosolic fractions. The complex of PKCeta and cyclin E was studied at various phases of the cell cycle, in serum-starved quiescent cells and in cells stimulated with serum to reenter the cell cycle. Interestingly, the interaction between PKCeta and cyclin E was most prominent in serum-starved cells and was disintegrated when cells entered the cells cycle. Immunofluorescence staining demonstrated that in serum-starved cells PKCeta is concentrated at the perinuclear zone, which is also the site of its colocalization with cyclin E. Colocalization of PKCeta and cyclin E in the perinuclear region was observed in serum-starved cells, and less in proliferating cells. These experiments suggest that the interaction between PKCeta and cyclin E is carefully regulated, and is correlated with the inactivated form of the cyclin E/Cdk2 complex. Thus, our studies support an important link between PKC and cell cycle control.     

Biotransformations of propenylbenzenes by an Arthrobacter sp. and its t-anethole blocked mutants

Propenylbenzenes are often used as starting materials in the chemical synthesis of aroma compounds and fine chemicals. In the present study, we demonstrate the ability of an Arthrobacter sp. to transform various structures of propenylbenzenes derived from essential oils to flavor, fragrance, and fine chemicals. Arthrobacter strain TA13 and its t-anethole blocked mutants (incapable of growing on t-anethole) converted isoeugenol to vanillin and vanillic acid; and safrole to hydroxychavicol. High conversion efficiencies were achieved in the biotransformations of isosafrole to piperonylic acid, and eugenol to a mixture of ferulic acid and vanillic acid. In addition, anisic acid was produced in high yields from t-anethole, anisyl alcohol, or anisaldehyde. The accumulation of the corresponding aromatic acids from the tested propenylbenzenes is due to the lack of m-demethylase activity in strain TA13 that prevents further cleavage of the benzene ring. Interestingly, in the transformation of eugenol (a 2-propenylbenzene) the side chain was initially oxidized to the corresponding cinamic acid derivative (ferulic acid) while the 1-propenylbenzenes gave substituted benzoic acids, suggesting two different chain shortening mechanisms.     

Characterization of geraniol synthase from the peltate glands of sweet basil

The monoterpene fraction of the lemon-scented sweet basil (Ocimum basilicum) cv Sweet Dani consists mostly of citral (a mixture of geranial and neral), with lower levels of geraniol and nerol. These compounds are stored in the peltate glands found on the leaf epidermis. Younger leaves, which have a higher density of such glands, also have a higher content of monoterpenes than older leaves. Geraniol synthase (GES) activity, generating geraniol from geranyl diphosphate, was shown to be localized exclusively or almost exclusively to glands. GES activity resides in a homodimeric protein that was purified to near homogeneity. Basil GES requires Mn2+ as a divalent metal cofactor for activity and produces only geraniol from geranyl diphosphate. Km values of 21 and 51 microM were obtained for geranyl diphosphate and Mn2+, respectively. In the presence of 18O-labeled water, GES catalyzed the formation of 18O-geraniol from geranyl diphosphate, indicating that the reaction mechanism of GES is similar to that of other monoterpene synthases and is different from the action of phosphatases. A GES cDNA was isolated based on analysis of a glandular trichome expressed sequence tag database, and the sequence of the protein encoded by this cDNA shows some similarity to sequences of other terpene synthases. The expression of the GES cDNA in Escherichia coli resulted in a protein with enzymatic activity essentially identical to that of plant-purified GES. RNA gel-blot analysis indicated that GES is expressed in glands but not in leaves of basil cv Sweet Dani, whose glands contain geraniol and citral, and not in glands or leaves of another basil variety that makes other monoterpenes but not geraniol or citral.