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| Registros recuperados : 242 | |
| 63. |  | CAMPOS, C. C. B.; SOUSA, T. F.; SILVA, I. J. da; YAMAGISHI, M. E. B.; SILVA, G. F. da. Diversidade de clusters gênicos biossintéticos em Streptomyces sp. Mad39, isolado com potencial para biocontrole de patógenos de cadeias agrícolas regionais. In: SIMPÓSIO DE BIOTECNOLOGIA DA UNIVERSIDADE FEDERAL DO AMAZONAS, 1., 2022, Manaus. Anais [recurso eletrônico]: resumos expandidos. Manaus: EDUA, 2022. p. 7.| Biblioteca(s): Embrapa Amazônia Ocidental. |
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| 64. | | CAMPOS, C. C. B.; SOUSA, T. F.; SILVA, I. J. da; YAMAGISHI, M. E. B.; SILVA, G. F. da. Diversidade de clusters gênicos biossintéticos em Streptomyces sp. MAD39, isolado com potencial para biocontrole de patógenos de cadeias agrícolas regionais. In: SIMPÓSIO DE BIOTECNOLOGIA DA UNIVERSIDADE FEDERAL DO AMAZONAS, 1., 2022, Manaus. Anais [recurso eletrônico]: resumos expandidos. Manaus: EDUA, 2022. p. 7.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 66. | | FALCAO, P. R. K.; YAMAGISHI, M. E. B.; BORRO, L.; MANCINI, A. L.; HIGA, R. H.; NESHICH, G. Identification of folding essential residues by looking at an extensive DB of the structure descriptors in Diamond STING. In: ANNUAL INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS FOR MOLECULAR BIOLOGY, 13., 2005, Detroit. Program... Detroit: ISCB, 2005. p. 71. Na publicação: Paula Kuser; Michel Yamagishi; Adauto Mancini; Roberto Higa; Goran Neshich. ISMB 2005. Poster A-47.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 67. | | CASTRO, G. dos S.; SOUSA, T.; YAMAGISHI, M. E. B.; SILVA, G. F. da; GARRETT, R.; SOMAN, L.; KOOLEN, H. Identification of new peptaibols in the strain of Trichoderma amazonicum MMSRG 38A isolated from açaí fruit. In: BRAZILIAN CONFERENCE ON NATURAL PRODUCT (BCNP), 9.; MEETING ON MICROMOLECULAR EVOLUTION, SYSTEMATICS AND ECOLOGY (RESEM), 35., 2023, Salvador. Proceedings [...]. Campinas: Galoá, 2023.| Biblioteca(s): Embrapa Agricultura Digital; Embrapa Amazônia Ocidental. |
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| 68. | | CHAGAS, S. S.; YAMAGISHI, M. E. B.; ZERLOTINI NETO, A.; SILVA, G. F. da; CANIATO, F. F. Cazymes, peptidases e lipases secretadas do fungo fitopatogênico Pseusopestalotiopsis gilvanii (CPAA222): uma abordagem genômica. In: SIMPÓSIO DE BIOTECNOLOGIA DA UNIVERSIDADE FEDERAL DO AMAZONAS, 1., 2022, Manaus. Anais [recurso eletrônico]: resumos expandidos. Manaus: EDUA, 2022. p. 6.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 69. | | CHAGAS, S. S.; YAMAGISHI, M. E. B.; ZERLOTINI NETO, A.; SILVA, G. F. da; CANIATO, F. F. Cazymes, peptidases e lipases secretadas do fungo fitopatogênico Pseusopestalotiopsis gilvanii (CPAA222): uma abordagem genômica. In: SIMPÓSIO DE BIOTECNOLOGIA DA UNIVERSIDADE FEDERAL DO AMAZONAS, 1., 2022, Manaus. Anais [recurso eletrônico]: resumos expandidos. Manaus: EDUA, 2022. p. 6.| Biblioteca(s): Embrapa Amazônia Ocidental. |
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| 72. | | GERHARDT, I. R.; GIACHETTO, P. F.; YAMAGISHI, M. E. B.; LOBO, F. P.; TEIXEIRA, J.; PENCHEL, R. M.; MISSIAGGIA, A. Comparative transcriptome analysis of eucalyptus genotypes that differ in carbon allocation. In: INTERNATIONAL PLANT & ANIMAL GENOME, 20., 2012, San Diego. Abstract... Jersey City: Scherago International, 2012. Não paginado. 1 pôster.| Biblioteca(s): Embrapa Agricultura Digital; Embrapa Florestas. |
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| 73. | | COSTA, J. L. C.; OLIVEIRA, E. J. de; OLIVEIRA, G. A. F.; SILVA, A. dos S.; YAMAGISHI, M. E. B. Minissatélites: novas ferramentas moleculares para o mamoeiro. In: CONGRESSO BRASILEIRO DE FRUTICULTURA, 21., 2010, Natal. Frutas: saúde, inovação e responsabilidade: anais. Natal: Sociedade Brasileira de Fruticultura, 2010. pdf 915| Biblioteca(s): Embrapa Mandioca e Fruticultura. |
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| 74. | | ARBEX, W. A.; CARVALHO, L. A. V. de; SILVA, M. V. G. B.; YAMAGISHI, M. E. B. Modelagem difusa para suporte à decisão na descoberta de SNPs em sequências de cDNA. In: CONGRESSO BRASILEIRO DE AGROINFORMÁTICA, 7., 2009, Viçosa, MG. Anais... Viçosa, MG: UFV, 2009. Não paginado. SBIAgro 2009. 1 CD-ROM.| Biblioteca(s): Embrapa Gado de Leite. |
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| 76. | | YAMAGISHI, M. E. B.; MARTINS, N. F.; NESHICH, G.; CAI, W.; SHAO, X.; BEAUTRAIT, A.; MAIGRET, B. A fast surface-matching procedure for protein-ligand docking. Journal of Molecular Modeling, v. 12, n. 6, p. 965-972, Sept. 2006.| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 77. | | VIEIRA, F. D.; PAIVA, S. R.; YAMAGISHI, M. E. B.; OLIVEIRA, S. R. de M.; HIGA, R. Databases & data integration text mining & information extraction. In: INTERNATIONAL CONFERENCE OF THE BRAZILIAN ASSOCIATION FOR BIOINFORMATICS AND COMPUTATIONAL BIOLOGY, 7.; INTERNATIONAL CONFERENCE OF THE IBEROAMERICAN SOCIETY FOR BIOINFORMATICS, 3., 2011, Florianópolis. Proceedings... Florianópolis: Associação Brasileira de Bioinformática e Biologia Computacional, 2011. Não paginado. X-MEETING, 2011.| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 78. | | VIEIRA, F. D.; PAIVA, S. R.; YAMAGISHI, M. E. B.; OLIVEIRA, S. R. de M.; HIGA, R. Databases & data integration text mining & information extraction. In: INTERNATIONAL CONFERENCE OF THE BRAZILIAN ASSOCIATION FOR BIOINFORMATICS AND COMPUTATIONAL BIOLOGY, 7.; INTERNATIONAL CONFERENCE OF THE IBEROAMERICAN SOCIETY FOR BIOINFORMATICS, 3., 2011, Florianópolis. Proceedings... Florianópolis: Associação Brasileira de Bioinformática e Biologia Computacional, 2011. Não paginado. X-MEETING, 2011.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 79. | | SILVA, J. M. da; ROMANIUC, A. R.; CAETANO, A. R.; GIACHETTO, P. F.; YAMAGISHI, M. E. B. Java Merging Copy Number Variants (JM-CNV): a new algorithm for identifying Copy Number Variant Regions (CNVR). In: PLANT & ANIMAL GENOME CONFERENCE, 23., 2015, San Diego, CA. [Abstracts...]. San Diego: [s.n.], 2015. Não paginado. PAG 2015. Pôster P1170.| Biblioteca(s): Embrapa Agricultura Digital. |
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| Registros recuperados : 242 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Agricultura Digital; Embrapa Pecuária Sudeste. |
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Data corrente: |
02/12/2010 |
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Data da última atualização: |
27/01/2020 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
GIACHETTO, P. F.; YAMAGISHI, M. E. B.; SANTOS, E. H. dos; IBELLI, A. M. G.; REGITANO, L. C. de A. |
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Afiliação: |
POLIANA FERNANDA GIACHETTO, CNPTIA; MICHEL EDUARDO BELEZA YAMAGISHI, CNPTIA; EDGARD HENRIQUE DOS SANTOS, CNPTIA; ADRIANA MERCIA GUARATINI IBELLI, CPPSE; LUCIANA CORREIA DE ALMEIDA REGITANO, CPPSE. |
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Título: |
Transcriptional networks reconstruction: identification of genes involved on cattle response to tick Rhipicephalus (Boophilus) microplus infestation. |
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Ano de publicação: |
2010 |
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Fonte/Imprenta: |
In: INTERNATIONAL CONFERENCE OF THE BRAZILIAN ASSOCIATION FOR BIOINFORMATICS AND COMPUTATIONAL BIOLOGY, 6., 2010, Ouro Preto. Abstracts... [S.l.: s.n.], 2010. |
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Páginas: |
p. 154. |
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Idioma: |
Inglês |
|
Notas: |
Na publicação: Regitano, L.C.A. X-meeting 2010. |
|
Conteúdo: |
In tropical countries, losses caused by tick infestation in cattle lead to a great impact on animal production systems. Weight and feed conversion reduction, together with diseases transmitted by the parasite are some of the problems that lead to economic losses of billion dollars a year. In a general way, Bos taurus indicus cattle are less susceptible to infestation with Rhipicephalus (Boophilus) microplus than Bos taurus taurus cattle but the immunological basis of this difference is not understood. Since we are interested in finding genes that may be involved in mechanism of bovine response to tick for use in animal breeding, we investigated transcriptional networks in the response of these different genotypes of cattle to tick infestation. Recent studies show that co-expression networks can be used to identify a set of candidate genes underlying specific phenotypes and some gene co-expression network methods have been successfully applied in a variety of studies. In this study, Weighted Gene Co-expression Network Analysis (WGCNA) was applied, using microarray expression data. This systems biology analysis method starts out by identification of modules of genes based on patterns of gene co-expression, defined as sets of highly correlated (connected) genes, which may represent molecular networks involved in a common biological pathway. Genes highly connected within these modules are thought to drive the group, and are considered to be hub genes . Skin samples were collected from bovines of different genotypes before (BI) and after (AI) artificial tick infestation and mRNA used for GeneChip Bovine Genome Array hybridization. Microarray data were processed using affy /Bioconductor software package. We follow a general framework for constructing gene co-expression networks and used the WGCNA R package. The power adjacency function was applied to the co-expression measurement, the absolute Pearson correlation coefficient, to derive the adjacency matrix; we used a soft thresholding approach by raising each correlation to a fixed power (?=6). Modules were defined using the dynamic hybrid tree cutting algorithm of the dynamicTreeCut R package. Our analysis identified 8 modules. Each of the modules was labeled with a unique color as an identifier and characterized for enrichment of functionally-related genes. Interesting modules were defined as those enriched with genes involved in immune response and containing differentialy expressed genes (DEG), wigh were identified separately in each module. The blue module (n=220 genes) was enriched for genes belonging to Chemokine signaling pathway , Focal adhesion and Cell adhesion molecules pathways, and had the greatest number of DEG. These DEG, together with the hub genes inside the blue module are candidate genes elected for further studies aiming the understanding of mechanisms involved in tick tolerance by cattle. Supported by: Embrapa, CNPq. MenosIn tropical countries, losses caused by tick infestation in cattle lead to a great impact on animal production systems. Weight and feed conversion reduction, together with diseases transmitted by the parasite are some of the problems that lead to economic losses of billion dollars a year. In a general way, Bos taurus indicus cattle are less susceptible to infestation with Rhipicephalus (Boophilus) microplus than Bos taurus taurus cattle but the immunological basis of this difference is not understood. Since we are interested in finding genes that may be involved in mechanism of bovine response to tick for use in animal breeding, we investigated transcriptional networks in the response of these different genotypes of cattle to tick infestation. Recent studies show that co-expression networks can be used to identify a set of candidate genes underlying specific phenotypes and some gene co-expression network methods have been successfully applied in a variety of studies. In this study, Weighted Gene Co-expression Network Analysis (WGCNA) was applied, using microarray expression data. This systems biology analysis method starts out by identification of modules of genes based on patterns of gene co-expression, defined as sets of highly correlated (connected) genes, which may represent molecular networks involved in a common biological pathway. Genes highly connected within these modules are thought to drive the group, and are considered to be hub genes . Skin samples were collecte... Mostrar Tudo |
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Palavras-Chave: |
Dados de microarranjos. |
|
Thesagro: |
Gado; Genética Animal. |
|
Thesaurus NAL: |
Animal genetics; Rhipicephalus microplus. |
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Categoria do assunto: |
--
H Saúde e Patologia |
|
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/23811/1/p154-out.pdf
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|
Marc: |
LEADER 03873nam a2200241 a 4500
001 1868527
005 2020-01-27
008 2010 bl uuuu u00u1 u #d
100 1 $aGIACHETTO, P. F.
245 $aTranscriptional networks reconstruction$bidentification of genes involved on cattle response to tick Rhipicephalus (Boophilus) microplus infestation.$h[electronic resource]
260 $aIn: INTERNATIONAL CONFERENCE OF THE BRAZILIAN ASSOCIATION FOR BIOINFORMATICS AND COMPUTATIONAL BIOLOGY, 6., 2010, Ouro Preto. Abstracts... [S.l.: s.n.], 2010.$c2010
300 $ap. 154.
500 $aNa publicação: Regitano, L.C.A. X-meeting 2010.
520 $aIn tropical countries, losses caused by tick infestation in cattle lead to a great impact on animal production systems. Weight and feed conversion reduction, together with diseases transmitted by the parasite are some of the problems that lead to economic losses of billion dollars a year. In a general way, Bos taurus indicus cattle are less susceptible to infestation with Rhipicephalus (Boophilus) microplus than Bos taurus taurus cattle but the immunological basis of this difference is not understood. Since we are interested in finding genes that may be involved in mechanism of bovine response to tick for use in animal breeding, we investigated transcriptional networks in the response of these different genotypes of cattle to tick infestation. Recent studies show that co-expression networks can be used to identify a set of candidate genes underlying specific phenotypes and some gene co-expression network methods have been successfully applied in a variety of studies. In this study, Weighted Gene Co-expression Network Analysis (WGCNA) was applied, using microarray expression data. This systems biology analysis method starts out by identification of modules of genes based on patterns of gene co-expression, defined as sets of highly correlated (connected) genes, which may represent molecular networks involved in a common biological pathway. Genes highly connected within these modules are thought to drive the group, and are considered to be hub genes . Skin samples were collected from bovines of different genotypes before (BI) and after (AI) artificial tick infestation and mRNA used for GeneChip Bovine Genome Array hybridization. Microarray data were processed using affy /Bioconductor software package. We follow a general framework for constructing gene co-expression networks and used the WGCNA R package. The power adjacency function was applied to the co-expression measurement, the absolute Pearson correlation coefficient, to derive the adjacency matrix; we used a soft thresholding approach by raising each correlation to a fixed power (?=6). Modules were defined using the dynamic hybrid tree cutting algorithm of the dynamicTreeCut R package. Our analysis identified 8 modules. Each of the modules was labeled with a unique color as an identifier and characterized for enrichment of functionally-related genes. Interesting modules were defined as those enriched with genes involved in immune response and containing differentialy expressed genes (DEG), wigh were identified separately in each module. The blue module (n=220 genes) was enriched for genes belonging to Chemokine signaling pathway , Focal adhesion and Cell adhesion molecules pathways, and had the greatest number of DEG. These DEG, together with the hub genes inside the blue module are candidate genes elected for further studies aiming the understanding of mechanisms involved in tick tolerance by cattle. Supported by: Embrapa, CNPq.
650 $aAnimal genetics
650 $aRhipicephalus microplus
650 $aGado
650 $aGenética Animal
653 $aDados de microarranjos
700 1 $aYAMAGISHI, M. E. B.
700 1 $aSANTOS, E. H. dos
700 1 $aIBELLI, A. M. G.
700 1 $aREGITANO, L. C. de A.
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Embrapa Agricultura Digital (CNPTIA) |
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