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| Registros recuperados : 132 | |
| 43. |  | FERRARI, F.; ZANCA, A. S.; JORDÃO, H.; GIACHETTO, P. F.; OKURA, V. K.; MACCHERONI, W.; FORNI-MARTINS, E. R. Sugarcane BAC selection for BAC-FISH in currents hybrids varieties. In: CONGRESSO BRASILEIRO DE GENÉTICA, 55., 2009, Águas de Lindóia, SP. Resumos... Ribeirão Preto: Sociedade Brasileira de Genética, 2009. p. 96.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 44. | | GOZZO, V. C.; OKURA, V. K.; FONSECA, I.; MARTINS, M. F.; CARDOSO, F. F.; GIACHETTO, P. F. Identification of mechanisms involved in mastitis response by means of gene network building. 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; Embrapa Gado de Leite. |
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| 47. | | 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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| 48. | | GUIMARÃES, P. de S.; SCHENK, J. C. M.; GIACHETTO, P. F.; PADILHA, L.; SILVAROLLA, M. B.; MALUF, M. P. Validação de retrotransposons ativos em café-efeitos de estresse abiótico e baixa cafeína na expressão gênica. In: SIMPÓSIO DE PESQUISA DOS CAFÉS DO BRASIL, 10., 2019, Vitória. Pesquisa, Inovação e Sustentabilidade dos Cafés do Brasil. Anais... Brasília, DF: Embrapa Café, 2019. Título em inglês: Validation of active retrotransposons in coffee-effects of abiotic stress and low caffeine content on gene expression.| Biblioteca(s): Embrapa Café. |
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| 49. | | GUIMARÃES, P. de S.; SCHENK, J. C. M.; GIACHETTO, P. F.; PADILHA, L.; SILVAROLLA, M. B.; MALUF, M. P. Validação de retrotransposons ativos em café-efeitos de estresse abiótico e baixa cafeína na expressão gênica. In: SIMPÓSIO DE PESQUISA DOS CAFÉS DO BRASIL, 10., 2019, Vitória, ES. Pesquisa, inovação e sustentabilidade dos cafés do Brasil. Brasília, DF: Embrapa Café, 2019. 4 p. Título em inglês: Validation of active retrotransposons in coffee-effects of abiotic stress and low caffeine content on gene expression.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 50. | | GIACHETTO, P. F.; YAMAGISHI, M. E. B.; SANTOS, E. H. dos; IBELLI, A. M. G.; REGITANO, L. C. de A. Transcriptional networks reconstruction: identification of genes involved on cattle response to tick Rhipicephalus (Boophilus) microplus infestation. In: INTERNATIONAL CONFERENCE OF THE BRAZILIAN ASSOCIATION FOR BIOINFORMATICS AND COMPUTATIONAL BIOLOGY, 6., 2010, Ouro Preto. Abstracts... [S.l.: s.n.], 2010. p. 154. Na publicação: Regitano, L.C.A. X-meeting 2010.| Biblioteca(s): Embrapa Agricultura Digital; Embrapa Pecuária Sudeste. |
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| 51. | | HERAI, R.; DITA, M.; WAALWIJK, C.; FERREIRA, G.; SOUZA, M.; KEMA, G.; FALCAO, P.; GIACHETTO, P.; YAMAGISHI, M. Building a transcriptome molecular marker platform for diagnosis of fungal plant pathogens. In: INTERNATIONAL CONFERENCE OF THE BRAZILIAN ASSOCIATION FOR BIOINFORMATICS AND COMPUTATIONAL BIOLOGY, 8., 2012, Campinas. Abstract book... Ribeirão Preto: AB3C, 2012. Não paginado. X-MEETING 2012.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 52. | | 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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| 53. | | DITA, M. A.; HERAI, R.; WAALWIJK, C.; YAMAGISHI, M.; GIACHETTO, P.; FERREIRA, G.; SOUZA, M.; KEMA, G. H. J. Comparative transcriptome analysis and genome assembly of Fusarium oxysporum f. sp. cubense. In: INTERNATIONAL PROMUSA SYMPOSIUM, 2011, Salvador. Bananas and plantains: toward sustainable global production and improved uses: abstracts. [S.l.]: ISHS, 2011. p. 58.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 55. | | GIACHETTO, P. F.; GUERREIRO, E. N.; FERRO, J. A.; FERRO, M. I. T.; FURLAN, R. L.; MACARI, M. Performance and hormonal profile in broiler chickens fed with different energy levels during post restriction period. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 38, n. 6, p. 697-702, jun. 2003 Título em português: Desempenho e perfil hormonal de frangos alimentados com diferentes níveis energéticos após restrição alimentar.| Biblioteca(s): Embrapa Unidades Centrais. |
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| 57. | | CSORDAS, B. G.; GARCIA, M. V.; CUNHA, R. C.; GIACHETTO, P. F.; BLECHA, I. M. Z.; ANDREOTTI, R. New insights from molecular characterization of the tick Rhipicephalus (Bophilus) microplus in Brazil. Revista Brasileira de Parasitologia Veterinária, Jaboticabal, v. 25, n. 3, p. 317-326, jul./set. 2016.| Biblioteca(s): Embrapa Agricultura Digital; Embrapa Gado de Corte. |
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| 58. | | SILVA, V. H.; GIACHETTO, P. F.; TIZIOTO, P. L.; GONÇALVES, T. M.; REGITANO, L. C. A.; COUTINHO, L. L. A network landscape from CNVs to Nellore cattle beef tenderness. In: INTERNATIONAL SYMPOSIUM ON ANIMAL FUNCTIONAL GENOMICS, 5., 2013, Guarujá. Programme and abstract book... [S.l.: s.n.], 2013. p. 8. ISAFG 2013. AB.01.| Biblioteca(s): Embrapa Agricultura Digital; Embrapa Pecuária Sudeste. |
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| 60. | | GERHARDT, I. R.; GIACHETTO, P. F.; YAMAGISHI, M. E. B.; LOBO, F.; PENCHEL, R. M.; MISSIAGGIA, A. A.; ZERLOTINI, A.; SILVA, F. R. da. RNA-seq analysis of Eucalyptus genotypes that differ in carbon allocation. In: ANNUAL INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS FOR MOLECULAR BIOLOGY; STRUCTURAL BIOINFORMATICS AND COMPUTATIONAL BIOPHYSICS CONFERENCE MEETING, 8., 2012, Long Beach, California. Abstracts... [S.l.: s.n.], 2012. Não paginado. 1 Poster. ISMB 2012. Poster G19. Também publicado em: ANNUAL INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS FOR MOLECULAR BIOLOGY, 21.; EUROPEAN CONFERENCE ON COMPUTATIONAL BIOLOGY, 12., 2013, Berlin. Posters... Berlin: ISCB, 2013. Não paginado....| Biblioteca(s): Embrapa Agricultura Digital. |
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| Registros recuperados : 132 | |
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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 |
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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 |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/23811/1/p154-out.pdf
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Marc: |
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001 1868527
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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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