Optimal Variable Weighting for Ultrametric and Additive Trees and K-means Partitioning: Methods and Software

K -means partitioning. We also describe some new features and improvements to the algorithm proposed by De Soete. Monte Carlo simulations have been conducted using different error conditions. In all cases (i.e., ultrametric or additive trees, or K-means partitioning), the simulation results indicate that the optimal weighting procedure should be used for analyzing data containing noisy variables that do not contribute relevant information to the classification structure. However, if the data involve error-perturbed variables that are relevant to the classification or outliers, it seems better to cluster or partition the entities by using variables with equal weights. A new computer program, OVW, which is available to researchers as freeware, implements improved algorithms for optimal variable weighting for ultrametric and additive tree clustering, and includes a new algorithm for optimal variable weighting for K-means partitioning.     

Targeting mitochondria by α-tocopheryl succinate kills neuroblastoma cells irrespective of MycN oncogene expression

Amplification of the MycN oncogene characterizes a subset of highly aggressive neuroblastomas, the most common extracranial solid tumor of childhood. However, the significance of MycN amplification for tumor cell survival is controversial, since down-regulation of MycN was found to decrease markedly neuroblastoma sensitivity towards conventional anticancer drugs, cisplatin, and doxorubicin. Here, we show that a redox-silent analogue of vitamin E, α-tocopheryl succinate (α-TOS), which triggers apoptotic cell death via targeting mitochondria, can kill tumor cells irrespective of their MycN expression level. In cells overexpressing MycN, as well as cells in which MycN was switched off, α-TOS stimulated rapid entry of Ca(2+) into the cytosol, compromised Ca(2+) buffering capacity of the mitochondria and sensitized them towards mitochondrial permeability transition and subsequent apoptotic cell death. Prevention of mitochondrial Ca(2+) accumulation or chelation of cytosolic Ca(2+) rescued the cells. Thus, targeting mitochondria might be advantageous for the elimination of tumor cells with otherwise dormant apoptotic pathways.     

The Prospects for Machine Discovery in Linguistics

The article reports the results from the developmentof four data-driven discovery systems, operating inlinguistics. The first mimics the induction methods ofJohn Stuart Mill, the second performs componentialanalysis of kinship vocabularies, the third is ageneral multi-class discrimination program, and thefourth finds logical patterns in data. These systemsare briefly described and some arguments are offeredin favour of machine linguistic discovery. Thearguments refer to the strength of machines incomputationally complex tasks, the guaranteedconsistency of machine results, the portability ofmachine methods to new tasks and domains, and thepotential machines provide for our gaining newinsights.     

Intrinsic disorder in proteins involved in amyotrophic lateral sclerosis

Five structurally and functionally different proteins, an enzyme superoxide dismutase 1 (SOD1), a TAR-DNA binding protein-43 (TDP-43), an RNA-binding protein FUS, a cofilin-binding protein C9orf72, and polypeptides generated as a result of its intronic hexanucleotide expansions, and to lesser degree actin-binding profilin-1 (PFN1), are considered to be the major drivers of amyotrophic lateral sclerosis. One of the features common to these proteins is the presence of significant levels of intrinsic disorder. The goal of this study is to consider these neurodegeneration-related proteins from the intrinsic disorder perspective. To this end, we employed a broad set of computational tools for intrinsic disorder analysis and conducted intensive literature search to gain information on the structural peculiarities of SOD1, TDP-43, FUS, C9orf72, and PFN1 and their intrinsic disorder predispositions, and the roles of intrinsic disorder in their normal and pathological functions.     

Review of the genus Bolbonaso Emeljanov with checklist and key to Indian Caliscelidae (Hemiptera: Fulgoroidea)

A list of species of the family Caliscelidae Amyot et Serville known from India with data on distribution and sources for identification and a key to genera are given. The genus Bolbonaso Emeljanov, 2007 is revised. A new species, Bolbonaso chandri sp. nov., is described from Eastern India (Assam and Meghalaya States). Bolbonaso tapirifacies (Parshad, 1981) is redescribed and recorded for the first time from Southern India (Karnataka State). The lectotype is designated for Chirodisca eximia (Stål, 1859) which is recorded for the first time from Pakistan. New faunistic data in Nepal are listed for Delhina eurybrachydoides Distant, 1912.     

A creature with a hundred waggly tails: intrinsically disordered proteins in the ribosome

Intrinsic disorder (i.e., lack of a unique 3-D structure) is a common phenomenon, and many biologically active proteins are disordered as a whole, or contain long disordered regions. These intrinsically disordered proteins/regions constitute a significant part of all proteomes, and their functional repertoire is complementary to functions of ordered proteins. In fact, intrinsic disorder represents an important driving force for many specific functions. An illustrative example of such disorder-centric functional class is RNA-binding proteins. In this study, we present the results of comprehensive bioinformatics analyses of the abundance and roles of intrinsic disorder in 3,411 ribosomal proteins from 32 species. We show that many ribosomal proteins are intrinsically disordered or hybrid proteins that contain ordered and disordered domains. Predicted globular domains of many ribosomal proteins contain noticeable regions of intrinsic disorder. We also show that disorder in ribosomal proteins has different characteristics compared to other proteins that interact with RNA and DNA including overall abundance, evolutionary conservation, and involvement in protein–protein interactions. Furthermore, intrinsic disorder is not only abundant in the ribosomal proteins, but we demonstrate that it is absolutely necessary for their various functions.     

The worldwide leaf economics spectrum

Bringing together leaf trait data spanning 2,548 species and 175 sites we describe, for the first time at global scale, a universal spectrum of leaf economics consisting of key chemical, structural and physiological properties. The spectrum runs from quick to slow return on investments of nutrients and dry mass in leaves, and operates largely independently of growth form, plant functional type or biome. Categories along the spectrum would, in general, describe leaf economic variation at the global scale better than plant functional types, because functional types overlap substantially in their leaf traits. Overall, modulation of leaf traits and trait relationships by climate is surprisingly modest, although some striking and significant patterns can be seen. Reliable quantification of the leaf economics spectrum and its interaction with climate will prove valuable for modelling nutrient fluxes and vegetation boundaries under changing land-use and climate.