Global response sensitivity analysis using probability distance measures and generalization of Sobol's analysis

The study introduces two new alternatives for global response sensitivity analysis based on the application of the L-2-norm and Hellinger's metric for measuring distance between two probabilistic models. Both the procedures are shown to be capable of treating dependent non-Gaussian random variable models for the input variables. The sensitivity indices obtained based on the L2-norm involve second order moments of the response, and, when applied for the case of independent and identically distributed sequence of input random variables, it is shown to be related to the classical Sobol's response sensitivity indices. The analysis based on Hellinger's metric addresses variability across entire range or segments of the response probability density function. The measure is shown to be conceptually a more satisfying alternative to the Kullback-Leibler divergence based analysis which has been reported in the existing literature. Other issues addressed in the study cover Monte Carlo simulation based methods for computing the sensitivity indices and sensitivity analysis with respect to grouped variables. Illustrative examples consist of studies on global sensitivity analysis of natural frequencies of a random multi-degree of freedom system, response of a nonlinear frame, and safety margin associated with a nonlinear performance function. (C) 2015 Elsevier Ltd. All rights reserved.

Global response sensitivity analysis of uncertain structures

The problem of characterizing global sensitivity indices of structural response when system uncertainties are represented using probabilistic and (or) non-probabilistic modeling frameworks (which include intervals, convex functions, and fuzzy variables) is considered. These indices are characterized in terms of distance measures between a fiducial model in which uncertainties in all the pertinent variables are taken into account and a family of hypothetical models in which uncertainty in one or more selected variables are suppressed. The distance measures considered include various probability distance measures (Hellinger,l(2), and the Kantorovich metrics, and the Kullback-Leibler divergence) and Hausdorff distance measure as applied to intervals and fuzzy variables. Illustrations include studies on an uncertainly parametered building frame carrying uncertain loads. (C) 2015 Elsevier Ltd. All rights reserved.

Global Response Sensitivity Analysis of Randomly Excited Dynamic Structures

The response of structural dynamical systems excited by multiple random excitations is considered. Two new procedures for evaluating global response sensitivity measures with respect to the excitation components are proposed. The first procedure is valid for stationary response of linear systems under stationary random excitations and is based on the notion of Hellinger's metric of distance between two power spectral density functions. The second procedure is more generally valid and is based on the l2 norm based distance measure between two probability density functions. Specific cases which admit exact solutions are presented, and solution procedures based on Monte Carlo simulations for more general class of problems are outlined. Illustrations include studies on a parametrically excited linear system and a nonlinear random vibration problem involving moving oscillator-beam system that considers excitations attributable to random support motions and guide-way unevenness. (C) 2015 American Society of Civil Engineers.

MicroRNAs in breast cancer progression and DNA damage response

Os tumores de mama são caracterizados pela sua alta heterogeneidade. O câncer de mama é uma doença complexa, que possui o seu desenvolvimento fortemente influenciado por fatores ambientais, combinada a uma progressiva acumulação de mutações genéticas e desregulação epigenética de vias críticas. Alterações nos padrões de expressão gênica podem ser resultado de uma desregulação no controle de eventos epigenéticos, assim como, na regulação pós-transcricional pelo mecanismo de RNA de interferência endógeno via microRNA (miRNA). Estes eventos são capazes de levar à iniciação, à promoção e à manutenção da carcinogênese, como também ter implicações no desenvolvimento da resistência à terapia Os miRNAs formam uma classe de RNAs não codificantes, que durante os últimos anos surgiram como um dos principais reguladores da expressão gênica, através da sua capacidade de regular negativamente a atividade de RNAs mensageiros (RNAms) portadores de uma seqüencia parcialmente complementar. A importância da regulação mediada por miRNAs foi observada pela capacidade destas moléculas em regular uma vasta gama de processos biológicos incluindo a proliferação celular, diferenciação e a apoptose. Para avaliar a expressão de miRNAs durante a progressão tumoral, utilizamos como modelo experimental a série 21T que compreende 5 linhagens celulares originárias da mesma paciente diagnosticada com um tumor primário de mama do tipo ErbB2 e uma posterior metástase pulmonar. Essa série é composta pela linhagem obtida a partir do tecido normal 16N, pelas linhagens correspondentes ao carcinoma primário 21PT e 21NT e pelas linhagens obtidas um ano após o diagnóstico inicial, a partir da efusão pleural no sítio metastatico 21MT1 e 21MT2. O miRNAoma da série 21T revelou uma redução significativa nos níveis de miR-205 e nos níveis da proteina e-caderina e um enriquecimento do fator pró-metastático ZEB-1 nas células 21MT. Considerando a importância dos miRNAs na regulação da apoptose, e que a irradiação em diferentes espectros é comumente usada em procedimentos de diagnóstico como mamografia e na radioterapia, avaliamos a expressão de miRNAs após irradiação de alta e baixa energia e do tratamento doxorrubicina. Para os ensaios foram utilizados as linhagens não tumorais MCF-10A e HB-2 e as linhagens de carcinoma da mama MCF-7 e T-47D. Observou-se que raios-X de baixa energia são capazes de promover quebras na molécula do DNA e apoptose assim como, alterar sensivelmente miRNAs envolvidos nessas vias como o let-7a, miR-34a e miR-29b. No que diz respeito à resposta a danos genotóxicos, uma regulação positiva sobre a expressão de miR-29b, o qual em condições normais é regulado negativamente foi observada uma regulação positiva sobre miR-29b expressão após todos os tratamentos em células tumorais. Nossos resultados indicam que miR-29b é um possível biomarcador de estresse genotóxico e que miR-205 pode participar no potencial metastático das células 21T.

Global analysis of mRNA half-lives and de novo transcription in a dinoflagellate, Karenia brevis

Dinoflagellates possess many physiological processes that appear to be under post-transcriptional control. However, the extent to which their genes are regulated post-transcriptionally remains unresolved. To gain insight into the roles of differential mRNA stability and de novo transcription in dinoflagellates, we biosynthetically labeled RNA with 4-thiouracil to isolate newly transcribed and pre-existing RNA pools in Karenia brevis. These isolated fractions were then used for analysis of global mRNA stability and de novo transcription by hybridization to a K. brevis microarray. Global K. brevis mRNA half-lives were calculated from the ratio of newly transcribed to pre-existing RNA for 7086 array features using the online software HALO (Half-life Organizer). Overall, mRNA half-lives were substantially longer than reported in other organisms studied at the global level, ranging from 42 minutes to greater than 144 h, with a median of 33 hours. Consistent with well-documented trends observed in other organisms, housekeeping processes, including energy metabolism and transport, were significantly enriched in the most highly stable messages. Shorter-lived transcripts included a higher proportion of transcriptional regulation, stress response, and other response/regulatory processes. One such family of proteins involved in post-transcriptional regulation in chloroplasts and mitochondria, the pentatricopeptide repeat (PPR) proteins, had dramatically shorter half-lives when compared to the arrayed transcriptome. As transcript abundances for PPR proteins were previously observed to rapidly increase in response to nutrient addition, we queried the newly synthesized RNA pools at 1 and 4 h following nitrate addition to N-depleted cultures. Transcriptome-wide there was little evidence of increases in the rate of de novo transcription during the first 4 h, relative to that in N-depleted cells, and no evidence for increased PPR protein transcription. These results lend support to the growing consensus of post-transcriptional control of gene expression in dinoflagellates.

Response of vegetation in the Qinghai-Tibet Plateau to global warming

IEECAS SKLLQG

Cellular automata: Simulating alpine tundra vegetation dynamics in response to global warming

This study attempts to model alpine tundra vegetation dynamics in a tundra region in the Qinghai Province of China in response to global warming. We used Raster-based cellular automata and a Geographic Information System to study the spatial and temporal vegetation dynamics. The cellular automata model is implemented with IDRISI's Multi-Criteria Evaluation functionality to simulate the spatial patterns of vegetation change assuming certain scenarios of global mean temperature increase over time. The Vegetation Dynamic Simulation Model calculates a probability surface for each vegetation type, and then combines all vegetation types into a composite map, determined by the maximum likelihood that each vegetation type should distribute to each raster unit. With scenarios of global temperature increase of I to 3 degrees C, the vegetation types such as Dry Kobresia Meadow and Dry Potentilla Shrub that are adapted to warm and dry conditions tend to become more dominant in the study area.