Language Nests and Language Acquisition: An Empirical Analysis.

Ph.D. Thesis. University of Hawaiʻi at Mānoa 2017

Identificação de mecanismos envolvidos na resposta de bovinos ao carrapato Rhipicephalus microplus.

O objetivo desse trabalho foi identificar grupos de genes envolvidos na resposta de bovinos à infestação artificial com o carrapato Rhipicephalus microplus, por meio da construção de redes gênicas. Dados de um experimento com microarranjos, provenientes da hibridização de amostras de pele de fêmeas cruzadas Senepol x Nelore, Angus x Nelore e Nelore, obtidas antes (A) e (D) após a infestação artificial com o carrapato, foram analisados por meio de uma metodologia de construção de redes baseada em co-expressão gênica (WGCNA). Os dados foram pré-processados usando os pacotes affy e gcrma do R/Bioconductor e as redes de co-expressão identificadas separadamente para cada grupo (A e D), pelo pacote R/WGCNA. As redes foram comparadas e os módulos não conservados entre os dois grupos foram identificados a partir de um teste de correlação dos valores de conectividade. Nossa análise identificou 8 módulos de genes co-expressos, sendo um deles (6) não conservado entre os grupos. O modulo 6 (n=85 genes) mostrou-se enriquecido para o processo biológico Proteólise, sugerindo o envolvimento desse processo e dos genes identificados (ADAMTS4, CASP4, C3, CFB, PRSS22 e SPCS3) na resposta dos animais à infestação

Identificação de mecanismos envolvidos na resposta de bovinos ao carrapato Rhipicephalus microplus.

O objetivo desse trabalho foi identificar grupos de genes envolvidos na resposta de bovinos à infestação artificial com o carrapato Rhipicephalus microplus, por meio da construção de redes gênicas. Dados de um experimento com microarranjos, provenientes da hibridização de amostras de pele de fêmeas cruzadas Senepol x Nelore, Angus x Nelore e Nelore, obtidas antes (A) e (D) após a infestação artificial com o carrapato, foram analisados por meio de uma metodologia de construção de redes baseada em co-expressão gênica (WGCNA). Os dados foram pré-processados usando os pacotes affy e gcrma do R/Bioconductor e as redes de co-expressão identificadas separadamente para cada grupo (A e D), pelo pacote R/WGCNA. As redes foram comparadas e os módulos não conservados entre os dois grupos foram identificados a partir de um teste de correlação dos valores de conectividade. Nossa análise identificou 8 módulos de genes co-expressos, sendo um deles (6) não conservado entre os grupos. O modulo 6 (n=85 genes) mostrou-se enrique ido para o processo biológico Proteólise, sugerindo o envolvimento desse processo e dos genes identificados (ADAMTS4, CASP4, C3, CFB, PRSS22 e SPCS3) na resposta dos animais à infestação

Identification of mechanisms involved in mastitis response by means of gene network building.

Mastitis, an inflammation of the mammary gland, is the most prevalent and costly production disease in dairy herds worldwide. It is caused generally by bacteria and accounts for a significant decrease in milk production and quality. One promising approach to reduce problems caused by mastitis, in addition to sanitary care, is the selection of animals resistant to disease and the incorporation of this trait into the herds. Therefore, studies to better understand the mechanisms involved in animal response to this disease are essential to the proposition of new advances in area. In this context, the aim of this study was to identify groups of genes involved in cow response to mastitis infection, through gene network building from microarray data. Gene expression data from the GeneChipâ Bovine Genome Array (Affymetrix) hybridization with milk somatic cells samples from Holstein-Zebu crossbreed dairy cows, obtained before (B) and 24 hrs after (A) artificial infection with Staphylococcus agalactiae, were analyzed using a network building methodology based on gene co-expression. We used WGCNA (Weighted Gene Co-expression Analysis), a systems biology method for describing the correlation patterns among genes across microarray samples, that can be used for finding clusters (modules) of highly correlated genes to identify modules of co-expressed genes, which may correspond to functionally related genes. By comparing two networks (between contrasting data sets), conserved and non-conserved modules can be identified. This strategy, named differential network analysis, aims to identify genes groups that are both differentially expressed and differentially connected, and changes in connectivity may correspond to large-scale rewiring, in response to environmental changes and/or physiologic perturbations. Two microarray data sets, B (n=5) and A (n=5), were preprocessed using affy and gcrma R/Bioconductor packages. A filter was applied, which resulted in the use of only those transcripts present in all samples. Gene co-expression networks were identified separately for each group (B and A), by the R/WGCNA package. Gene networks were compared between the two groups, and non-conserved modules were uncovered from a correlation test of the connectivity values. Our analysis identified a total of 17 modules of co-expressed genes, three of them, designed by the colors grey (n=35), blue (n=37) and turquoise (n=192), non-conserved between the groups. Using Blast2GO for enrichment analysis, we find the molecular function Protein Binding overrepresented in all three modules. However, in despite of the same molecular function, each one of the modules showed distinct characteristcs. Genes of grey module (BTG3, CD3E, MBD1, CHIC2, PLXNA3, MOCS3, NEIL1, VPS45, BCL2) were related to apoptosis and antigen recognition. Genes of turquoise module were enriched in inflammation mediators, including known mastitis marker genes (FGL1, GJA1, F2RL1, PTPRF, S100A2, TGFB2). The blue one uncovered genes involved in cell division and inflammatory response (CD97, MAD2L1, ZFP106, CDKN2C, LOC514364, NOP14, PCBD1, LOC100139798, AP1S1, EDN1, IL1B, ANXA11). Our study identified some mechanisms (represented by gene modules) that have changed in cows in early response to mastitis infection. Further analysis are being carried out, based on these results, to advance the understanding of animals response to the disease, which can lead to identify the candidate genes that could be used in breeding programs.X-MEETING 2011

Removing epoxy underfill between neighbouring components using acid for component chip-off

International audienc

A gene expression atlas of Vellozia nivea, a desiccation-tolerant species from the Brazilian campos rupestres.

Velloziaceae are an angiosperm family that contains the most desiccation-tolerant species (approximately 200 out of 270 species). More than 80% of the Velloziaceae species occur in South America, where the greatest morphological diversity is also found. The genus Vellozia comprises both desiccation-tolerant and non-desiccation-tolerant species, offering an excellent model for studying the evolution of desiccation- and drought-tolerance traits on plant genomes. To date, only limited genomic or transcript sequences are available for Velloziaceaespecies. Here we present a Vellozia nivea gene expression atlas across different plant organs and tissues, including flower, developing seeds, root, leaf, stem and seedling. Vellozia nivea is a desiccation-tolerant species, endemic to the Brazilian campos rupestres (rupestrian grasslands) and highly adapted to their extreme conditions. A total of 180.67 Gb of raw data were generated, and of these, 152.79 Gb were subjected to downstream analysis after quality control (QC). Vellozia niveade novotranscriptome assembly was performed with the Trinity bioinformatics tool, resulting in 684.615 contigs. After filtering contaminated sequence contigs from bacteria and fungi and removal of contigs with less than 10 sequence reads associated with the initial assembly, the transcriptome resulted in 195.512 remaining sequences. A GO enrichment analysis was performed on tissue‐specific transcripts. The Vellozia nivea transcriptome should be a useful resource for genome annotation and gene function discovery studies.PE1028

The Hyper Suprime-Cam Software Pipeline

In this paper, we describe the optical imaging data processing pipeline developed for the Subaru Telescope's Hyper Suprime-Cam (HSC) instrument. The HSC Pipeline builds on the prototype pipeline being developed by the Large Synoptic Survey Telescope's Data Management system, adding customizations for HSC, large-scale processing capabilities, and novel algorithms that have since been reincorporated into the LSST codebase. While designed primarily to reduce HSC Subaru Strategic Program (SSP) data, it is also the recommended pipeline for reducing general-observer HSC data. The HSC pipeline includes high level processing steps that generate coadded images and science-ready catalogs as well as low-level detrending and image characterizations.Comment: 39 pages, 21 figures, 2 tables. Submitted to Publications of the Astronomical Society of Japa