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| Registros recuperados : 16 | |
| 3. |  | MOREIRA, G. C. M.; PÉRTILLE, F.; GODOY, T. F.; BRASSOLOTI, R.; BOSCHIERO, C.; LEDUR, M. C.; COUTINHO, L. L. Discovery of candidate genes for fatness in chickens based on genotyping with 600K SNP chip in a QTL region. In: CONGRESSO BRASILEIRO DE GENÉTICA, 60., 2014, Guarujá. Resumos? Ribeirão Preto: Sociedade Brasileira de Genética, 2014. p. 64| Biblioteca(s): Embrapa Suínos e Aves. |
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| 4. | | PÉRTILLE, F.; ZANELLA, R.; FELÍCIO, A. M.; LEDUR, M. C.; PEIXOTO, J. de O.; COUTINHO, L. L. Identification of polymorphisms associated with production traits on chicken (Gallus gallus) chromosome 4. Genetics and Molecular Research, v. 14, n. 3, p. 10717-10728, 2015.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 5. | | PÉRTILLE, F.; TESSMANN, A. L.; COUTINHO, L. L.; AVILA, V. S. de; PEIXOTO, J. de O.; COLDEBELLA, A.; LEDUR, M. C. Investigation of the LEPR1 A>G polymorphism in the leptin receptor gene in a commercial broiler population. In: CONGRESSO BRASILEIRO DE GENÉTICA, 57., 2011, Águas de Lindóia. Resumos. Águas de Lindóia: SBG, 2011. p.103. Projeto/Plano de Ação: 01.06.10602-03.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 6. | | SILVA, V. H. da; REGITANO, L. C. de A.; GEISTLINGER, L.; PÉRTILLE, F.; GIACHETTO, P. F.; BRASSALOTI, R. A.; MOROSINI, N. S.; ZIMMER, R.; COUTINHO, L. L. Genome-wide detection of CNVs and their association with meat tenderness in Nelore cattle. Plos One, june 2016.| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 7. | | PÉRTILLE, F.; BOSAGNA, C. G.; SILVA, V. H. da; BOSCHIERO, C.; NUNES, J. de R. da S.; LEDUR, M. C.; JENSEN, P.; COUTINHO, L. L. High-throughput and cost-effective chicken genotyping using next-generation sequencing. Scientific Reports, v. 6, n. 26929, 2016.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 8. | | PÉRTILLE, F.; FELÍCIO, A. M.; ROSÁRIO, M. F. do; SILVA, V. H.; MANGUETTI, T.; SILVA, N. A.; LEDUR, M. C.; COUTINHO, L. L. PPARGC1A indel polymorphism is associated with performance and carcass traits in chickens. In: CONGRESSO BRASILEIRO DE GENÉTICA, 58., 2012, Foz do Iguaçu. Resumos... Foz do Iguaçú: SBG, 2012. p. 72| Biblioteca(s): Embrapa Suínos e Aves. |
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| 9. | | PÉRTILLE, F.; IBELLI, A. M. G.; SHARIF, M. E.; POLETI, M. D.; FRÖHLICH, A. S.; REZAEI, S.; LEDUR, M. C.; JENSEN, P.; GUERRERO-BOSAGNA, C.; COUTINHO. L. L. Putative epigenetic biomarkers of stress in red blood cells of chickens reared across different biomes. Frontiers in Genetics, 20 Nov 2020.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 10. | | MOREIRA, G. C. M.; BOSCHIERO, C.; CESAR, A. S. M.; REECY, J. M.; GODOY, T. F.; PÉRTILLE, F.; LEDUR, M. C.; MOURA, A. S. A. M. T. M.; GARRICK, D. J.; COUTINHO, L. L. Integration of genome wide association studies and whole genome sequencing provides novel insights into fat deposition in chicken. Scientific Reports, v. 8, n. 16222, 2018.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 11. | | PERTILLE, F.; MOREIRA, G. C. M. M.; ZANELLA, R.; NUNES, J. de R. da S.; BOSCHIERO, C.; ROVADOSCKI, G. A.; MOURÃO, G. B.; LEDUR, M. C.; COUTINHO, L. L. Genome-wide association study for performance traits in chickens using genotype by sequencing approach. Scientific Reports, v. 7, n. 41748, 2017.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 12. | | ZANELLA, R.; LAGO, L. V.; SILVA, A. N. da; PÉRTILLE, F.; CARVALHO, N. S. de; PANETTO, J. C. do C.; ZANELLA, G. C.; FACIOLI, F. L.; SILVA, M. V. G. B. Genetic characterization of Indubrasil cattle breed population. Veterinary Sciences, v. 5, n. 4, 2018. 10 p.| Biblioteca(s): Embrapa Gado de Leite. |
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| 13. | | DAL PIZZOL, M. S.; IBELLI, A. M. G.; MORÉS, N.; MORES, M. A. Z.; PEIXOTO, J. de O.; SAVOLDI, I. R.; PERTILLE, F.; MARIANI, P. D. S. C.; COUTINHO, L. L.; LEDUR, M. C. Perfil de metilação diferencial no cromossomo 6 de suínos normais e afetados com osteocondrose latens. In: JORNADA DE INICIAÇÃO CIENTÍFICA, 13., 2019, Concórdia. Anais... Concórdia: Embrapa Suínos e Aves: UNC, 2019. p. 36-37. JINC 2019.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 14. | | DAL PIZZOL, M. S.; IBELLI, A. M. G.; SALMÓRIA, L. A.; MORES, M. A. Z.; PEIXOTO, J. de O.; SAVOLDI, I. R.; PERTILLE, F.; MARIANI, P. D. S. C.; COUTINHO, L. L.; LEDUR, M. C. Perfil de metilação diferencial em suínos normais e afetados com osteocondrose latens. In: SIMPÓSIO BRASILEIRO DE MELHORAMENTO ANIMAL ON-LINE, 14., 2021. Anais... Chapecó: UDESC: Concórdia: Embrapa Suínos e Aves, 2022.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 15. | | POLETI, M. D.; REGITANO, L. C. de A.; SOUZA, G. H. M. F.; CESAR, A. S. M.; SIMAS, R. C.; VIGNATTO, B. S.; MONTENEGRO, H.; PÉRTILLE, F.; BALIEIRO, J. C. C.; CAMERON, L. C.; ELER, J. P.; COUTINHO, L. L. Proteome alterations associated with the oleic acid and cis-9, trans-11 conjugated linoleic acid content in bovine skeletal muscle. Journal of Proteomics, v. 222, p. 1-14, e103792, jun. 2020.| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 16. | | MOREIRA, G. C. M.; POLETI, M. D.; PÉRTILLE, F.; BOSCHIERO, C.; CESAR, A. S. M.; GODOY, T. F.; LEDUR, M. C.; REECY, J. M.; GARRICK, D. J.; COUTINHO, L. L. Unraveling genomic associations with feed efficiency and body weight traits in chickens through an integrative approach. BMC Genetics, v. 20, n. 83, 2019.| Biblioteca(s): Embrapa Suínos e Aves. |
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| Registros recuperados : 16 | |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Pecuária Sudeste. Para informações adicionais entre em contato com cppse.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Pecuária Sudeste. |
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Data corrente: |
02/12/2020 |
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Data da última atualização: |
02/12/2020 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
POLETI, M. D.; REGITANO, L. C. de A.; SOUZA, G. H. M. F.; CESAR, A. S. M.; SIMAS, R. C.; VIGNATTO, B. S.; MONTENEGRO, H.; PÉRTILLE, F.; BALIEIRO, J. C. C.; CAMERON, L. C.; ELER, J. P.; COUTINHO, L. L. |
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Afiliação: |
Mirele D. Poleti, USP; LUCIANA CORREIA DE ALMEIDA REGITANO, CPPSE; Gustavo H. M. F. Souza, Applications and Development Laboratory Waters Corporation, São Paulo; Aline S. M. Cesar, USP, ESALq; Rosineide C. Simas, USP, ESALq; Bárbara Silva-Vignato, USP, ESALq; Horácio Montenegro, USP, ESALq; Fábio Pértille, USP, ESALq; Júlio C. C. Balieiro, USP; Luiz C. Cameron, UNIRIO; Joanir P. Eler, USP; Luiz L. Coutinho, USP, ESALq. |
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Título: |
Proteome alterations associated with the oleic acid and cis-9, trans-11 conjugated linoleic acid content in bovine skeletal muscle. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
Journal of Proteomics, v. 222, p. 1-14, e103792, jun. 2020. |
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DOI: |
https://doi.org/10.1016/j.jprot.2020.103792 |
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Idioma: |
Inglês |
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Conteúdo: |
Oleic acid (OA) and cis-9, trans-11 conjugated linoleic acid (c9t11-CLA) are fatty acids found in beef with beneficial effects in human health. This study investigated differentially abundant proteins (DAPs) in skeletal muscle of bovines with extreme values of OA, and c9t11-CLA. For each one of the fatty acids, twenty muscle samples were divided into two groups (N = 10_High; N = 10_Low) and analyzed by high definition mass spectrometry. We identified 103 and 133 DAPs between the groups for each fatty acid. We found 64 and 45 upregulated and 39 and 68 down-regulated proteins for OA and c9t11-CLA, respectively. Comparative analysis between proteomic and transcriptomic data revealed eight and ten genes with a consistent between mRNA expression levels and protein abundance for OA and c9t11-CLA, respectively. Unconventional myosin-Id (MYO1D), mineralocorticoid receptor (NR3C2), geranylgeranyl transferase type-2 subunit-alpha (RABGGTA), and uveal autoantigen with coiled-coil domains and ankyrin repeats (UACA) were found as putative candidate proteins for OA content. Fatty acid synthase (FASN), tubulin alpha-4A chain (TUBA4A), vinculin (VCL), NADH dehydrogenase 1 alpha subcomplex 5 (NDUFA5), and prefoldin subunit 6 (PFDN6) for c9t11-CLA. Our findings contribute to a deeper understanding of the molecular mechanisms behind the regulation of the OA and c9t11-CLA content in cattle skeletal muscle. Significance: Questions about the association between meat intake and disease incidence in humans has driven animal scientist to pursue a better understanding of the biological processes associated with differences in the intramuscular fat composition. The beneficial effects of oleic acid and conjugated linoleic acid in human health have been demonstrated by improving the immune system and preventing atherosclerosis, different types of cancers, hypertension, and diabetes. Previous genome-wide association and gene expression studies identified genomic regions and differentially expressed genes associated with the fatty acid profile in skeletal muscle. In this work, differences were evaluated at the protein level. The use of a label-free quantitative proteomic approach, compared with muscle transcriptome results obtained by RNA-sequencing, allowed us to earn new insights into the variability in fatty acid deposition in skeletal muscle of farm animals. This study opens new avenues to explore the effect of the fatty acids in the skeletal muscle of livestock animals, which is associated with nutritional values of the meat, and perhaps to understand the mechanisms correlated with metabolic diseases in other species. MenosOleic acid (OA) and cis-9, trans-11 conjugated linoleic acid (c9t11-CLA) are fatty acids found in beef with beneficial effects in human health. This study investigated differentially abundant proteins (DAPs) in skeletal muscle of bovines with extreme values of OA, and c9t11-CLA. For each one of the fatty acids, twenty muscle samples were divided into two groups (N = 10_High; N = 10_Low) and analyzed by high definition mass spectrometry. We identified 103 and 133 DAPs between the groups for each fatty acid. We found 64 and 45 upregulated and 39 and 68 down-regulated proteins for OA and c9t11-CLA, respectively. Comparative analysis between proteomic and transcriptomic data revealed eight and ten genes with a consistent between mRNA expression levels and protein abundance for OA and c9t11-CLA, respectively. Unconventional myosin-Id (MYO1D), mineralocorticoid receptor (NR3C2), geranylgeranyl transferase type-2 subunit-alpha (RABGGTA), and uveal autoantigen with coiled-coil domains and ankyrin repeats (UACA) were found as putative candidate proteins for OA content. Fatty acid synthase (FASN), tubulin alpha-4A chain (TUBA4A), vinculin (VCL), NADH dehydrogenase 1 alpha subcomplex 5 (NDUFA5), and prefoldin subunit 6 (PFDN6) for c9t11-CLA. Our findings contribute to a deeper understanding of the molecular mechanisms behind the regulation of the OA and c9t11-CLA content in cattle skeletal muscle. Significance: Questions about the association between meat intake and disease incidence i... Mostrar Tudo |
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Palavras-Chave: |
Label free proteomic. |
|
Thesagro: |
Bos Indicus; Gado Nelore. |
|
Thesaurus NAL: |
Beef; Fatty acids; Transcriptome. |
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Categoria do assunto: |
G Melhoramento Genético |
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Marc: |
LEADER 03666naa a2200337 a 4500
001 2127488
005 2020-12-02
008 2020 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1016/j.jprot.2020.103792$2DOI
100 1 $aPOLETI, M. D.
245 $aProteome alterations associated with the oleic acid and cis-9, trans-11 conjugated linoleic acid content in bovine skeletal muscle.$h[electronic resource]
260 $c2020
520 $aOleic acid (OA) and cis-9, trans-11 conjugated linoleic acid (c9t11-CLA) are fatty acids found in beef with beneficial effects in human health. This study investigated differentially abundant proteins (DAPs) in skeletal muscle of bovines with extreme values of OA, and c9t11-CLA. For each one of the fatty acids, twenty muscle samples were divided into two groups (N = 10_High; N = 10_Low) and analyzed by high definition mass spectrometry. We identified 103 and 133 DAPs between the groups for each fatty acid. We found 64 and 45 upregulated and 39 and 68 down-regulated proteins for OA and c9t11-CLA, respectively. Comparative analysis between proteomic and transcriptomic data revealed eight and ten genes with a consistent between mRNA expression levels and protein abundance for OA and c9t11-CLA, respectively. Unconventional myosin-Id (MYO1D), mineralocorticoid receptor (NR3C2), geranylgeranyl transferase type-2 subunit-alpha (RABGGTA), and uveal autoantigen with coiled-coil domains and ankyrin repeats (UACA) were found as putative candidate proteins for OA content. Fatty acid synthase (FASN), tubulin alpha-4A chain (TUBA4A), vinculin (VCL), NADH dehydrogenase 1 alpha subcomplex 5 (NDUFA5), and prefoldin subunit 6 (PFDN6) for c9t11-CLA. Our findings contribute to a deeper understanding of the molecular mechanisms behind the regulation of the OA and c9t11-CLA content in cattle skeletal muscle. Significance: Questions about the association between meat intake and disease incidence in humans has driven animal scientist to pursue a better understanding of the biological processes associated with differences in the intramuscular fat composition. The beneficial effects of oleic acid and conjugated linoleic acid in human health have been demonstrated by improving the immune system and preventing atherosclerosis, different types of cancers, hypertension, and diabetes. Previous genome-wide association and gene expression studies identified genomic regions and differentially expressed genes associated with the fatty acid profile in skeletal muscle. In this work, differences were evaluated at the protein level. The use of a label-free quantitative proteomic approach, compared with muscle transcriptome results obtained by RNA-sequencing, allowed us to earn new insights into the variability in fatty acid deposition in skeletal muscle of farm animals. This study opens new avenues to explore the effect of the fatty acids in the skeletal muscle of livestock animals, which is associated with nutritional values of the meat, and perhaps to understand the mechanisms correlated with metabolic diseases in other species.
650 $aBeef
650 $aFatty acids
650 $aTranscriptome
650 $aBos Indicus
650 $aGado Nelore
653 $aLabel free proteomic
700 1 $aREGITANO, L. C. de A.
700 1 $aSOUZA, G. H. M. F.
700 1 $aCESAR, A. S. M.
700 1 $aSIMAS, R. C.
700 1 $aVIGNATTO, B. S.
700 1 $aMONTENEGRO, H.
700 1 $aPÉRTILLE, F.
700 1 $aBALIEIRO, J. C. C.
700 1 $aCAMERON, L. C.
700 1 $aELER, J. P.
700 1 $aCOUTINHO, L. L.
773 $tJournal of Proteomics$gv. 222, p. 1-14, e103792, jun. 2020.
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