Anterior tongue cancer with no history of tobacco and alcohol use may be a distinct molecular and clinical entity.

BACKGROUND: A small, albeit significant, number of head and neck squamous cell carcinoma (HNSCC) patients has no history of tobacco and alcohol use. Such non-habits associated HNSCCs may represent a distinct clinical entity and exhibit increased aggressiveness. The objective of the study was to understand differences in molecular etiology of habits, and non-habits associated tongue carcinomas. MATERIALS AND METHODS: High-throughput gene expression profiling of 22 tumor samples was carried out. This was followed by quantitative real-time PCR validation of four of the identified differentially expressed genes. RESULTS AND CONCLUSION: Eighteen genes were identified that correlate strongly with the habits- and non-habits distinction. Among the genes significantly overexpressed in the non-habits group are CCND1, a key cell-cycle regulator, DACT3, a modulator of the Wnt/beta-catenin pathway, and three genes associated with the Notch signaling pathway. CCND1 and DACT3 overexpression in non-habits associated tongue carcinomas were subsequently validated by quantitative real-time PCR in an independent cohort (n = 18) of patient samples. Gene expression data were integrated with publicly available protein interaction data to build a small protein interaction network containing five of 18 differentially expressed genes. This suggested that a functional 'network module' can be implicated in the subgroup distinction. All the tumors analyzed here were human papillomavirus (HPV) negative samples. An association between CCND1 overexpression in oral tumors and poor prognosis has previously been reported. Thus, CCND1 overexpression in non-habits associated anterior tongue carcinomas may contribute to their increased clinical aggressiveness.

A data-driven approach to improve wellness and reduce recurrence in cancer survivors.

For many cancer survivors, toxic side effects of treatment, lingering effects of the aftermath of disease and cancer recurrence adversely affect quality of life (QoL) and reduce healthspan. Data-driven approaches for quantifying and improving wellness in healthy individuals hold great promise for improving the lives of cancer survivors. The data-driven strategy will also guide personalized nutrition and exercise recommendations that may help prevent cancer recurrence and secondary malignancies in survivors.

Whole-genome sequences of two clinical isolates of Mycobacterium tuberculosis from Kerala, South India.

We report the annotated genome sequence of two clinical isolates of Mycobacterium tuberculosis isolated from Kerala, India.

A miR-centric view of head and neck cancers.

Head and Neck Squamous Cell Carcinomas (HNSCCs) constitute the sixth most common cancer worldwide with an average 5-year survival rate of around 50%. Several microRNAs, small non-coding RNAs involved in post-transcriptional gene regulation, have been linked to HNSCC based on their differential expression in tumors. Here, we present a compilation of multiple types of information on each HNSCC linked miRNA including their expression status in tumors, their molecular targets relevant to cancer, results of gene manipulation studies and association with clinical outcome. Further, we use this information to devise a new scheme for classifying them into causal and non-causal miRNAs in HNSCC. We also discuss the possibility of using miRNAs as prognostic and diagnostic biomarkers for HNSCC, based on existing literature. Finally, we present available evidence that shows how altered expression of specific miRNAs can contribute to various "hallmarks of cancer" phenotypes such as limitless replicative potential owing to abnormal cell cycle regulation, evasion of apoptosis, reduced response to anti-growth signals, and Epithelial-Mesechymal transition (EMT).

Genetic characterization of 2006-2008 isolates of Chikungunya virus from Kerala, South India, by whole genome sequence analysis.

Chikungunya virus (CHIKV), a positive-stranded alphavirus, causes epidemic febrile infections characterized by severe and prolonged arthralgia. In the present study, six CHIKV isolates (2006 RGCB03, RGCB05; 2007 RGCB80, RGCB120; 2008 RGCB355, RGCB356) from three consecutive Chikungunya outbreaks in Kerala, South India, were analyzed for genetic variations by sequencing the 11798 bp whole genome of the virus. A total of 37 novel mutations were identified and they were predominant in the 2007 and 2008 isolates among the six isolates studied. The previously identified E1 A226V critical mutation, which enhances mosquito adaptability, was present in the 2007 and 2008 samples. An important observation was the presence of two coding region substitutions, leading to nsP2 L539S and E2 K252Q change. These were identified in three isolates (2007 RGCB80 and RGCB120; 2008 RGCB355) by full-genome analysis, and also in 13 of the 31 additional samples (42%), obtained from various parts of the state, by sequencing the corresponding genomic regions. These mutations showed 100% co-occurrence in all these samples. In phylogenetic analysis, formation of a new genetic clade by these isolates within the East, Central and South African (ECSA) genotypes was observed. Homology modeling followed by mapping revealed that at least 20 of the identified mutations fall into functionally significant domains of the viral proteins and are predicted to affect protein structure. Eighteen of the identified mutations in structural proteins, including the E2 K252Q change, are predicted to disrupt T-cell epitope immunogenicity. Our study reveals that CHIK virus with novel genetic changes were present in the severe Chikungunya outbreaks in 2007 and 2008 in South India.

An Interpretable Predictive Model of Vaccine Utilization for Tanzania.

Providing accurate utilization forecasts is key to maintaining optimal vaccine stocks in any health facility. Current approaches to vaccine utilization forecasting are based on often outdated population census data, and rely on weak, low-dimensional demand forecasting models. Further, these models provide very little insights into factors that influence vaccine utilization. Here, we built a state-of-the-art, machine learning model using novel, temporally and regionally relevant vaccine utilization data. This highly multidimensional machine learning approach accurately predicted bi-weekly vaccine utilization at the individual health facility level. Specifically, we achieved a forecasting fraction error of less than two for about 45% of regional health facilities in both the Tanzania regions analyzed. Our "random forest regressor" had an average forecasting fraction error that was almost 18 times less compared to the existing system. Importantly, using our model, we gleaned several key insights into factors underlying utilization forecasts. This work serves as an important starting point to reimagining predictive health systems in the developing world by leveraging the power of Artificial Intelligence and big data.

Mutational analysis of Smad7 in human cervical cancer.

Our aim was to carry out mutational analysis of Smad7 exon 4 that codes for the Smad7 MH2 domain in human cervical cancer tissues. This study is warranted since genetic abnormalities of components of the transforming growth factor-beta (TGF-beta)/Smad signaling system have been implicated in a variety of human cancers. Further, Smad7 is an important member of the Smad family that functions as a negative feedback regulator of TGF-beta responses. By direct sequencing, we screened 60 histopathologically confirmed human cervical carcinomas for mutations in exon 4 of Smad7 that encodes the MH2 domain of the protein, a region of the protein believed to be critical for receptor interaction. No mutations or aberrations could be identified in any of the 60 analyzed tumor samples. However, we identified a previously reported, heterozygous, silent G to C variant in codon 391 of Smad7 that was found twice in the set of 60 clinical samples. Thirty of the clinical samples analyzed in the study were positive for the presence of high-risk human papillomavirus (HPV) subtypes, while the rest were oncogenic HPV-negative. The two instances of the silent variant was found in oncogenic HPV-negative samples. We report mutational analysis of Smad7 in cervical cancer for the first time. Mutations and variants of Smad7 are unlikely to be of major significance to the pathogenesis of HPV-induced cervical cancer.

Structure-function relationship of inhibitory Smads: Structural flexibility contributes to functional divergence.

Smads are a small family of eukaryotic transcription regulators that play key roles in the transforming growth factor-beta signaling cascade. Smad6 and Smad7, the inhibitory or I-Smads, inhibit signaling downstream of TGF-beta type I receptors, thereby acting as negative regulators of signaling mediated by TGF-beta superfamily of ligands. Smad6 is known to specifically inhibit BMP type I receptor mediated signaling, while Smad7 is a more general inhibitor, able to block signaling mediated by a set of related TGF-beta type I receptors, including type I receptors for BMP and TGF-beta/Activin. In this study we have sought to understand the structural basis for this functional divergence of I-Smads. We have created homology-based models for the MH1 and MH2 domains of the two I-Smads and have carried out detailed molecular dynamics (MD) simulations of these proteins in explicit solvent to investigate the flexibility of the domains. The molecular models show that the I-Smads have lost many of the secondary structural elements found in the R-Smads, giving rise to longer loops in the tertiary structure of Smad6 and Smad7. Detailed analysis of the structural models and the MD trajectories clearly reveal that compared to Smad6, Smad7 has a more flexible overall folding, marked by the presence of highly flexible amino acid residues in functionally important regions of the protein. Interestingly, three of these residues-Phe411, Lys401, and Cys406, map to L3 loop of Smad7 MH2 domain, which is a critical structural determinant in Smad-type I receptor interactions. The increased structural flexibility of Smad7, arising out of longer, more flexible loops in its MH2 domain, might enable Smad7 to interact with a set of related yet structurally diverse type I receptors. Taken together with experimental evidence published in recent literature that hint at structural factors underlying the generic nature of inhibition by Smad7, our results strongly suggest that structural flexibility could be a prime contributor to the functional differences between Smad6 and Smad7. Additionally, we have been able to use the Smad7 structural model to successfully rationalize the results of in vitro site-specific mutagenesis experiments in published literature. This also provides biological validation for our model. Apart from this, analysis of the MH1 molcular model of Smad6 delineates a basic patch on the surface of the domain that might take part in nonspecific DNA binding by Smad6. This finding is consistent with earlier experimental data and is relevant since the characteristic beta-hairpin DNA binding element of R-Smads is completely absent in the I-Smads. Finally, the molecular models described here can serve to guide future biochemical and genetic studies on I-Smads.

Homology modeling of the DNA-binding domain of human Smad5: a molecular model for inhibitor design.

Members of the Smad protein family function as signal transducers of the transforming growth factor (TGF-beta) superfamily proteins. The human Smad5 protein, a signal transducer downstream of TGF-beta/BMP receptors, is composed of N-terminal DNA binding domain (MH1) and C-terminal protein-protein interaction domain (MH2) connected together by a linker motif. We used homology-modeling techniques to generate a reliable molecular model of the Smad5 MH1 domain based on the crystal structure of Smad3 MH1 domain. Our study presents the structural features of a BMP-regulated, R-Smad subfamily member (consisting of Smad1, Smad5 and Smad8) for the first time. This model provides a structural basis for explaining both functional similarities and differences between Smad3 and Smad5. Also, the structural model of this molecular target would be useful for structure-based inhibitor design because of its high accuracy. The results of our study provide important insights into understanding the structure-function relationship of the members of the Smad protein family and can serve to guide future genetic and biochemical experiments in this area.

Single nucleotide polymorphisms of DNA repair genes XRCC1 and XPD and its molecular mapping in Indian oral cancer.

Tobacco users with diminished ability to repair somatic mutations may be more susceptible to tobacco attributable cancers. The distribution of single nucleotide polymorphisms (SNPs) in DNA repair genes XRCC1 and XPD in 110 oral carcinoma cases, 84 leukoplakia and 110 controls belonging to the Travancore South Indian population were examined. SNPs investigated included Arg194Trp, Arg280His, and Arg399Gln of the XRCC1 gene and Lys751Gln of the XPD gene. In addition, one of the variants positions, A399G, was mapped onto the BRCT I domain model built by comparative modeling (threading). Presence of the polymorphic variant of XRCC1 codon 194 and 399 and XPD was associated with increased risk of oral cancer compared to the wild genotype. Smokers and betel quid chewers with the variant allele of XRCC1 399 codon and XPD also exhibited increased risk of oral cancer. The A399G variant position mapped onto the surface of the BRCT I domain provides a possible rationale for altered XRCC1 function. These results suggest that polymorphisms in functionally important repair genes, specifically, those that map onto the protein surface may alter protein function without significantly affecting its structure.

Smurf2 E3 ubiquitin ligase modulates proliferation and invasiveness of breast cancer cells in a CNKSR2 dependent manner.

BACKGROUND: Smurf2 is a member of the HECT family of E3 ubiquitin ligases that play important roles in determining the competence of cells to respond to TGF- ß/BMP signaling pathway. However, besides TGF-ß/BMP pathway, Smurf2 regulates a repertoire of other signaling pathways ranging from planar cell polarity during embryonic development to cell proliferation, migration, differentiation and senescence. Expression of Smurf2 is found to be dysregulated in many cancers including breast cancer. The purpose of the present study is to examine the effect of Smurf2 knockdown on the tumorigenic potential of human breast cancer cells emphasizing more on proliferative signaling pathway. METHODS: siRNAs targeting different regions of the Smurf2 mRNA were employed to knockdown the expression of Smurf2. The biological effects of synthetic siRNAs on human breast cancer cells were investigated by examining the cell proliferation, migration, invasion, focus formation, anchorage-independent growth, cell cycle arrest, and cell cycle and cell proliferation related protein expressions upon Smurf2 silencing. RESULTS: Smurf2 silencing in human breast cancer cells resulted in a decreased focus formation potential and clonogenicity as well as in vitro cell migration/invasion capabilities. Moreover, knockdown of Smurf2 suppressed cell proliferation. Cell cycle analysis showed that the anti-proliferative effect of Smurf2 siRNA was mediated by arresting cells in the G0/G1 phase, which was caused by decreased expression of cyclin D1and cdk4, followed by upregulation p21 and p27. Furthermore, we demonstrated that silencing of Smurf2 downregulated the proliferation of breast cancer cells by modulating the PI3K- PTEN-AKT-FoxO3a pathway via the scaffold protein CNKSR2 which is involved in RAS-dependent signaling pathways. The present study provides the first evidence that silencing Smurf2 using synthetic siRNAs can regulate the tumorigenic properties of human breast cancer cells in a CNKSR2 dependent manner. CONCLUSIONS: Our results therefore suggest a novel relation between Smurf2 and CNKSR2 thereby regulating AKT-dependent cell proliferation and invasion. Owing to the fact that PI3K-AKT signaling is hyperactivated in various human cancers and that Smurf2 also regulates cellular transformation, our results indicate that Smurf2 may serve as a potential molecule for targeted cancer therapy of certain tumour types including breast cancer.

Invariance and plasticity in the Drosophila melanogaster metabolomic network in response to temperature.

BACKGROUND: Metabolomic responses to extreme thermal stress have recently been investigated in Drosophila melanogaster. However, a network level understanding of metabolomic responses to longer and less drastic temperature changes, which more closely reflect variation in natural ambient temperatures experienced during development and adulthood, is currently lacking. Here we use high-resolution, non-targeted metabolomics to dissect metabolomic changes in D. melanogaster elicited by moderately cool (18°C) or warm (27°C) developmental and adult temperature exposures. RESULTS: We find that temperature at which larvae are reared has a dramatic effect on metabolomic network structure measured in adults. Using network analysis, we are able to identify modules that are highly differentially expressed in response to changing developmental temperature, as well as modules whose correlation structure is strongly preserved across temperature. CONCLUSIONS: Our results suggest that the effect of temperature on the metabolome provides an easily studied and powerful model for understanding the forces that influence invariance and plasticity in biological networks.

Comparative analysis of DNA word abundances in four yeast genomes using a novel statistical background model.

Previous studies have shown that the identification and analysis of both abundant and rare k-mers or "DNA words of length k" in genomic sequences using suitable statistical background models can reveal biologically significant sequence elements. Other studies have investigated the uni/multimodal distribution of k-mer abundances or "k-mer spectra" in different DNA sequences. However, the existing background models are affected to varying extents by compositional bias. Moreover, the distribution of k-mer abundances in the context of related genomes has not been studied previously. Here, we present a novel statistical background model for calculating k-mer enrichment in DNA sequences based on the average of the frequencies of the two (k-1) mers for each k-mer. Comparison of our null model with the commonly used ones, including Markov models of different orders and the single mismatch model, shows that our method is more robust to compositional AT-rich bias and detects many additional, repeat-poor over-abundant k-mers that are biologically meaningful. Analysis of overrepresented genomic k-mers (4≤k≤16) from four yeast species using this model showed that the fraction of overrepresented DNA words falls linearly as k increases; however, a significant number of overabundant k-mers exists at higher values of k. Finally, comparative analysis of k-mer abundance scores across four yeast species revealed a mixture of unimodal and multimodal spectra for the various genomic sub-regions analyzed.

The western painted turtle genome, a model for the evolution of extreme physiological adaptations in a slowly evolving lineage.

BACKGROUND: We describe the genome of the western painted turtle, Chrysemys picta bellii, one of the most widespread, abundant, and well-studied turtles. We place the genome into a comparative evolutionary context, and focus on genomic features associated with tooth loss, immune function, longevity, sex differentiation and determination, and the species' physiological capacities to withstand extreme anoxia and tissue freezing. RESULTS: Our phylogenetic analyses confirm that turtles are the sister group to living archosaurs, and demonstrate an extraordinarily slow rate of sequence evolution in the painted turtle. The ability of the painted turtle to withstand complete anoxia and partial freezing appears to be associated with common vertebrate gene networks, and we identify candidate genes for future functional analyses. Tooth loss shares a common pattern of pseudogenization and degradation of tooth-specific genes with birds, although the rate of accumulation of mutations is much slower in the painted turtle. Genes associated with sex differentiation generally reflect phylogeny rather than convergence in sex determination functionality. Among gene families that demonstrate exceptional expansions or show signatures of strong natural selection, immune function and musculoskeletal patterning genes are consistently over-represented. CONCLUSIONS: Our comparative genomic analyses indicate that common vertebrate regulatory networks, some of which have analogs in human diseases, are often involved in the western painted turtle's extraordinary physiological capacities. As these regulatory pathways are analyzed at the functional level, the painted turtle may offer important insights into the management of a number of human health disorders.

Fluoxetine mediates G0/G1 arrest by inducing functional inhibition of cyclin dependent kinase subunit (CKS)1.

Fluoxetine, a well-known antidepressant used clinically for mental depression has gained attention in cancer research owing to its chemosensitizing potential in drug resistant cell lines. Some preliminary reports, however, suggested its independent cytotoxic potential which is not yet well characterized. Our aim in this study was to characterize its antiproliferative activity in tumor cells and to further elucidate the mechanism. We found that fluoxetine sensitized the effect of cyclophosphamide even in drug sensitive MDA MB 231 and SiHa cells. IC(50) values of 28 and 32 microM were obtained for fluoxetine mediated antiproliferative response in these cells. Further, PARP and caspase 3 cleavage analyses confirmed fluoxetine mediated apoptosis at molecular level. Cell cycle analysis showed that fluoxetine arrested cells at G0/G1 phase in a time dependent manner. The application of bioinformatics tools at this juncture predicted CKS1 as one of the possible targets of fluoxetine, which is of relevance to cell cycle biology. Fluoxetine showed the potential to disrupt skp2-CKS1 assembly required for ubiquitination and proteasomal degradation of p27 and p21. Our in vitro results were in agreement with the predictions made in silico. We found that fluoxetine treatment could accumulate p27 and p21, an immediate outcome characteristic of functional inhibition of CKS1. This was accompanied by the accumulation of cyclin E, another possible target of CKS1. We observed CKS1 downregulation also upon prolonged fluoxetine treatment. Fluoxetine had downregulated cyclin A which confirmed G0/G1 arrest at the molecular level. We conclude that fluoxetine induced cell cycle arrest is CKS1 dependent.

Detailed comparison of the protein-ligand docking efficiencies of GOLD, a commercial package and ArgusLab, a licensable freeware.

Molecular docking and virtual screening based on molecular docking have become an integral part of many modern structure-based drug discovery efforts. Hence, it becomes a useful endeavor to evaluate existing docking programs, which can assist in the choice of the most suitable docking algorithm for any particular study. The objective of the current study was to evaluate the ability of ArgusLab 4.0, a relatively new molecular modeling package in which molecular docking is implemented, to reproduce crystallographic binding orientations and to compare its accuracy with that of a well established commercial package, GOLD. The study also aimed to evaluate the effect of the nature of the binding site and ligand properties on docking accuracy. The three dimensional structures of a carefully chosen set of 75 pharmaceutically relevant protein-ligand complexes were used for the comparative study. The study revealed that the commercial package outperforms the freely available docking engine in almost all the parameters tested. However, the study also revealed that although lagging behind in accuracy, results from ArgusLab are biologically meaningful. This taken together with the fact that ArgusLab has an easy to use graphical user interface, means that it can be employed as an effective teaching tool to demonstrate molecular docking to beginners in this area.