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Registro Completo |
Biblioteca(s): |
Embrapa Pecuária Sudeste. |
Data corrente: |
19/02/2019 |
Data da última atualização: |
19/02/2019 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
GONÇALVES, T. M.; REGITANO, L. C. de A.; KOLTES, J. E.; CESAR, A. S. M.; ANDRADE, S. C. da S.; MOURAO, G. B.; GASPARIN, G.; MOREIRA, G. C. M.; FRITZ-WATERS, E.; REECY, J. M.; COUTINHO, L. L. |
Afiliação: |
Tássia Mangetti Gonçalves, USP; LUCIANA CORREIA DE ALMEIDA REGITANO, CPPSE; James E. Koltes, Iowa State University; Aline Silva Mello Cesar, USP; Sónia Cristina da Silva Andrade, USP; Gerson Barreto Mourão, USP; Gustavo Gasparin, USP; Gabriel Costa Monteiro Moreira, USP; Elyn Fritz-Waters, Iowa State University; James M. Reecy, Iowa State University; Luiz Lehmann Coutinho, USP. |
Título: |
Gene co-expression analysis indicates potential pathways and regulators of beef tenderness in Nellore cattle. |
Ano de publicação: |
2018 |
Fonte/Imprenta: |
Frontiers in Genetics, v.9, n. 441, p. 1-18, 2018. |
Idioma: |
Inglês |
Conteúdo: |
Beef tenderness, a complex trait affected by many factors, is economically important to beef quality, industry, and consumer?s palatability. In this study, RNA-Seq was used in network analysis to better understand the biological processes that lead to differences in beef tenderness. Skeletal muscle transcriptional profiles from 24 Nellore steers, selected by extreme estimated breeding values (EBVs) for shear force after 14 days of aging, were analyzed and 22 differentially expressed transcripts were identified. Among these were genes encoding ribosomal proteins, glutathione transporter ATP-binding cassette, sub-family C (CFTR/MRP), member 4 (ABCC4), and synaptotagmin IV (SYT4). Complementary co-expression analyses using Partial Correlation with Information Theory (PCIT), Phenotypic Impact Factor (PIF) and the Regulatory Impact Factor (RIF) methods identified candidate regulators and related pathways. The PCIT analysis identified ubiquitin specific peptidase 2 (USP2), growth factor receptor-bound protein 10 (GBR10), anoctamin 1 (ANO1), and transmembrane BAX inhibitor motif containing 4 (TMBIM4) as the most differentially hubbed (DH) transcripts. The transcripts that had a significant correlation with USP2, GBR10, ANO1, and TMBIM4 enriched for proteasome KEGG pathway. RIF analysis identified microRNAs as candidate regulators of variation in tenderness, including bta-mir-133a-2 and bta-mir-22. Both microRNAs have target genes present in the calcium signaling pathway and apoptosis. PIF analysis identified myoglobin (MB), enolase 3 (ENO3), and carbonic anhydrase 3 (CA3) as potentially having fundamental roles in tenderness. Pathways identified in our study impacted in beef tenderness included: calcium signaling, apoptosis, and proteolysis. These findings underscore some of the complex molecular mechanisms that control beef tenderness in Nellore cattle. MenosBeef tenderness, a complex trait affected by many factors, is economically important to beef quality, industry, and consumer?s palatability. In this study, RNA-Seq was used in network analysis to better understand the biological processes that lead to differences in beef tenderness. Skeletal muscle transcriptional profiles from 24 Nellore steers, selected by extreme estimated breeding values (EBVs) for shear force after 14 days of aging, were analyzed and 22 differentially expressed transcripts were identified. Among these were genes encoding ribosomal proteins, glutathione transporter ATP-binding cassette, sub-family C (CFTR/MRP), member 4 (ABCC4), and synaptotagmin IV (SYT4). Complementary co-expression analyses using Partial Correlation with Information Theory (PCIT), Phenotypic Impact Factor (PIF) and the Regulatory Impact Factor (RIF) methods identified candidate regulators and related pathways. The PCIT analysis identified ubiquitin specific peptidase 2 (USP2), growth factor receptor-bound protein 10 (GBR10), anoctamin 1 (ANO1), and transmembrane BAX inhibitor motif containing 4 (TMBIM4) as the most differentially hubbed (DH) transcripts. The transcripts that had a significant correlation with USP2, GBR10, ANO1, and TMBIM4 enriched for proteasome KEGG pathway. RIF analysis identified microRNAs as candidate regulators of variation in tenderness, including bta-mir-133a-2 and bta-mir-22. Both microRNAs have target genes present in the calcium signaling pathway and apoptos... Mostrar Tudo |
Palavras-Chave: |
Maciez da carne; Qualidade da carne. |
Thesagro: |
Carne; Gado de Corte. |
Thesaurus Nal: |
Beef; Beef cattle; Beef quality. |
Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/193047/1/8-GeneCo-expressionAnalysis.pdf
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Marc: |
LEADER 02810naa a2200325 a 4500 001 2106256 005 2019-02-19 008 2018 bl uuuu u00u1 u #d 100 1 $aGONÇALVES, T. M. 245 $aGene co-expression analysis indicates potential pathways and regulators of beef tenderness in Nellore cattle.$h[electronic resource] 260 $c2018 520 $aBeef tenderness, a complex trait affected by many factors, is economically important to beef quality, industry, and consumer?s palatability. In this study, RNA-Seq was used in network analysis to better understand the biological processes that lead to differences in beef tenderness. Skeletal muscle transcriptional profiles from 24 Nellore steers, selected by extreme estimated breeding values (EBVs) for shear force after 14 days of aging, were analyzed and 22 differentially expressed transcripts were identified. Among these were genes encoding ribosomal proteins, glutathione transporter ATP-binding cassette, sub-family C (CFTR/MRP), member 4 (ABCC4), and synaptotagmin IV (SYT4). Complementary co-expression analyses using Partial Correlation with Information Theory (PCIT), Phenotypic Impact Factor (PIF) and the Regulatory Impact Factor (RIF) methods identified candidate regulators and related pathways. The PCIT analysis identified ubiquitin specific peptidase 2 (USP2), growth factor receptor-bound protein 10 (GBR10), anoctamin 1 (ANO1), and transmembrane BAX inhibitor motif containing 4 (TMBIM4) as the most differentially hubbed (DH) transcripts. The transcripts that had a significant correlation with USP2, GBR10, ANO1, and TMBIM4 enriched for proteasome KEGG pathway. RIF analysis identified microRNAs as candidate regulators of variation in tenderness, including bta-mir-133a-2 and bta-mir-22. Both microRNAs have target genes present in the calcium signaling pathway and apoptosis. PIF analysis identified myoglobin (MB), enolase 3 (ENO3), and carbonic anhydrase 3 (CA3) as potentially having fundamental roles in tenderness. Pathways identified in our study impacted in beef tenderness included: calcium signaling, apoptosis, and proteolysis. These findings underscore some of the complex molecular mechanisms that control beef tenderness in Nellore cattle. 650 $aBeef 650 $aBeef cattle 650 $aBeef quality 650 $aCarne 650 $aGado de Corte 653 $aMaciez da carne 653 $aQualidade da carne 700 1 $aREGITANO, L. C. de A. 700 1 $aKOLTES, J. E. 700 1 $aCESAR, A. S. M. 700 1 $aANDRADE, S. C. da S. 700 1 $aMOURAO, G. B. 700 1 $aGASPARIN, G. 700 1 $aMOREIRA, G. C. M. 700 1 $aFRITZ-WATERS, E. 700 1 $aREECY, J. M. 700 1 $aCOUTINHO, L. L. 773 $tFrontiers in Genetics$gv.9, n. 441, p. 1-18, 2018.
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Embrapa Pecuária Sudeste (CPPSE) |
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Registro Completo
Biblioteca(s): |
Embrapa Caprinos e Ovinos. |
Data corrente: |
18/11/2019 |
Data da última atualização: |
28/11/2019 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 2 |
Autoria: |
SANTOS, K. F. dos; ELOY, A. M. X.; MATOS, M. N. C.; PEIXOTO, R. M.; ARAGÃO, P. de T. T. D. de; PINHEIRO, R. R.; CUNHA, R. M. S. da. |
Afiliação: |
KATIANNE FREITAS DOS SANTOS, Universidade Estadual Vale do Acaraú (UVA) - Sobral, CE, Brazil; ANGELA MARIA XAVIER ELOY, CNPC; MARIA NÁGILA CARNEIRO MATOS, Universidade Federal do Ceará (UFC) - Fortaleza, CE, Brazil; RENATO MESQUITA PEIXOTO, Universidade Estadual do Ceará (UECE) - Fortaleza, CE, Brazil; PAULO DE TARSO TELES DOURADO DE ARAGÃO, Universidade Federal do Ceará (UFC) - Fortaleza, CE, Brazil; RAYMUNDO RIZALDO PINHEIRO, CNPC; RODRIGO MARANGUAPE SILVA DA CUNHA, Universidade Estadual Vale do Acaraú (UVA) - Sobral, CE, Brazil. |
Título: |
Use of proteomics in the study of the acute phase of caprine arthritis encephalitis in seminal plasma. |
Ano de publicação: |
2019 |
Fonte/Imprenta: |
Small Ruminant Research, v. 181, p. 39-44, Dec. 2019. |
DOI: |
https://doi.org/10.1016/j.smallrumres.2019.10.004 |
Idioma: |
Inglês |
Conteúdo: |
Abstract: Caprine arthritis encephalitis (CAE) is a chronic viral disease spread among dairy goats, caused by the virus of the Lentivirus genus, Orthoretrovirinae subfamily, and Retroviridae family, whose diagnostic tests are ineffective in view of the latency of the virus, making it difficult to control and treat it. As the acute phase of infection has not been studied yet and considering that the innate immune system participates in the initial direct line of defense, during which the virus is transmitted with very low efficiency, the aim of this work was to use proteomics tools to identify proteins and enzymes that may be present at this stage and may serve as indicators of infection. Seminal plasma of 05 Saanen animals was used, before and after infection with the CAE virus, in which two-dimensional electrophoresis was performed, followed by MS mass spectrometry. It was identified in some animals, at the first seroconversion by Western blotting (WB), positive significant expression of the Clusterin (score 789), Zinc-alpha2-glycoprotein (ZAG-2) (score 364), Prostaglandin? H2 D-isomerase precursor (score 85), and Serum Albumin (score 314), exception to Cystatin C (score 58). Taking into account that semen Clusterin in human binds with a very high affinity to DC-SIGN, an important piece in the recognition of pathogens by dendritic cells (DCs), canceling the binding of HIV-1 to DC-SIGN suggesting this protein may be an indicator of the CAEV infection. |
Palavras-Chave: |
Artrite Encefalite Caprina; CAE; CAEV; Caprino leiteiro. |
Thesagro: |
Doença Animal. |
Thesaurus NAL: |
Caprine arthritis-encephalitis; Dairy goats; Disease diagnosis; Goat diseases; Immunology; Proteomics. |
Categoria do assunto: |
H Saúde e Patologia |
Marc: |
LEADER 02497naa a2200337 a 4500 001 2114432 005 2019-11-28 008 2019 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.1016/j.smallrumres.2019.10.004$2DOI 100 1 $aSANTOS, K. F. dos 245 $aUse of proteomics in the study of the acute phase of caprine arthritis encephalitis in seminal plasma.$h[electronic resource] 260 $c2019 520 $aAbstract: Caprine arthritis encephalitis (CAE) is a chronic viral disease spread among dairy goats, caused by the virus of the Lentivirus genus, Orthoretrovirinae subfamily, and Retroviridae family, whose diagnostic tests are ineffective in view of the latency of the virus, making it difficult to control and treat it. As the acute phase of infection has not been studied yet and considering that the innate immune system participates in the initial direct line of defense, during which the virus is transmitted with very low efficiency, the aim of this work was to use proteomics tools to identify proteins and enzymes that may be present at this stage and may serve as indicators of infection. Seminal plasma of 05 Saanen animals was used, before and after infection with the CAE virus, in which two-dimensional electrophoresis was performed, followed by MS mass spectrometry. It was identified in some animals, at the first seroconversion by Western blotting (WB), positive significant expression of the Clusterin (score 789), Zinc-alpha2-glycoprotein (ZAG-2) (score 364), Prostaglandin? H2 D-isomerase precursor (score 85), and Serum Albumin (score 314), exception to Cystatin C (score 58). Taking into account that semen Clusterin in human binds with a very high affinity to DC-SIGN, an important piece in the recognition of pathogens by dendritic cells (DCs), canceling the binding of HIV-1 to DC-SIGN suggesting this protein may be an indicator of the CAEV infection. 650 $aCaprine arthritis-encephalitis 650 $aDairy goats 650 $aDisease diagnosis 650 $aGoat diseases 650 $aImmunology 650 $aProteomics 650 $aDoença Animal 653 $aArtrite Encefalite Caprina 653 $aCAE 653 $aCAEV 653 $aCaprino leiteiro 700 1 $aELOY, A. M. X. 700 1 $aMATOS, M. N. C. 700 1 $aPEIXOTO, R. M. 700 1 $aARAGÃO, P. de T. T. D. de 700 1 $aPINHEIRO, R. R. 700 1 $aCUNHA, R. M. S. da 773 $tSmall Ruminant Research$gv. 181, p. 39-44, Dec. 2019.
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