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| Registros recuperados : 50 | |
| 41. |  | BUSS, C. E.; AFONSO, J.; OLIVEIRA, P. S. N. DE; PETRINI, J.; TIZIOTO, P. C.; CESAR, A. S. M.; GUSTANI-BUSS, E. C.; CARDOSO, T. F.; ROVADOSKI, G. A.; DINIZ, W. J. DA S.; LIMA, A. O. DE; ROCHA, M. I. P.; ANDRADE, B. G. N.; WOLF, J. B.; COUTINHO, L. L.; MOURÃO, G. B.; REGITANO, L. C. de A. Bivariate GWAS reveals pleiotropic regions among feed efficiency and beef quality-related traits in Nelore cattle. Mammalian Genome, v. 34, p. 90-103, dec. 2022.| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 42. | | OLIVEIRA, P. S. N. de; COUTINHO, L. L.; CESAR, A. S. M.; DINIZ, W. J. da S.; SOUZA, M. de S.; ANDRADE, B. G.; KOLTES, J. E.; MOURÃO, G. B.; ZERLOTINI NETO, A.; REECY, J. M.; REGITANO, L. C. de A. Co-expression networks reveal potential regulatory roles of miRNAs in fatty acid composition of nelore cattle. Frontiers in Genetics, v. 10, p. 1-14, July 2019. Article 651. Na publicação: Adhemar Zerlotini, Luciana C.A. Regitano.| Biblioteca(s): Embrapa Agricultura Digital; Embrapa Pecuária Sudeste. |
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| 43. | | DINIZ, W. J. da S.; TIZIOTO, P. C.; GROMBONI, C. F.; NOGUEIRA, A. R. de A.; ROSA, K. de O. da; CESAR, A. S. M.; OLIVEIRA, P. S. N. de; SOUZA, M. de; LIMA, A. O. de; COUTINHO, L. L.; REGITANO, L. C. de A. Perfil transcriptômico do músculo Longissimus dorsi de bovinos Nelore extremos para conteúdo de ferro. In: REUNIÃO ANUAL DA SOCIEDADE BRASILEIRA PARA O PROGRESSO DA CIÊNCIA, 67., 2015, São Carlos, SP. Resumos....São Paulo: SBPC, 2015 C. 3-2| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 44. | | SILVA, J. V. da; TIZIOTO, P. C.; OLIVEIRA, P. S. N. de; AFONSO, J.; DINIZ, W. J. da S.; LIMA, A. O. de; SOUZA, M. M. de; ROCHA, M. I. P.; BUSS, C. E.; COUTINHO, L. L.; REGITANO, L. C. de A. Genes diferencialmente expressos no músculo Longissimus dorsi de novilhos nelore divergentes para eficiência bruta. In: SILVA, W. T. L. da et al. (Ed.). Anais da 8ª Jornada Científica Embrapa São Carlos. Embrapa Instrumentação: Embrapa Pecuária Sudeste, 2016. p. 35. (Embrapa Instrumentação; Documentos, 61)| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 45. | | SOUZA, M. M. de; ZERLOTINI NETO, A.; NICIURA, S. C. M.; ROCHA, M. I. P.; DINIZ, W. J.; TIZIOTO, P. C.; OLIVEIRA, P. S. N. de; LIMA, A. O.; AFONSO, J.; CESAR, A. S. M; COUTINHO, L. L.; REGITANO, L. C. de A. Genome-wide distribution of allele-specific expression in Nelore steers muscle. In: WORLD CONGRESS ON GENETICS APPLIED TO LIVESTOOCK PRODUCTION, 2018, Auckland, New Zealand. proceedings... Auckland, New Zealand: Massey University, 2018, v. 892.| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 46. | | AFONSO, J.; TIZIOTO, P. C.; OLIVEIRA, P. S. N. de; DINIZ, W. J. da S.; LIMA, A. O. de; SOUZA, M. M. de; ROCHA, M. I. P.; SILVA, J. V. da; BUSS, C. E.; GROMBONI, C. F.; MOURAO, G. B.; NOGUEIRA, A. R. de A.; COUTINHO, L. L.; REGITANO, L. C. de A. Identification of genes associated with copper-deficient fatty acid increase in Nelore cattle. In: INTERNATIONAL SOCIETY FOR ANIMAL GENETICS CONFERENCE, 36., 2017, Dublin. Proceedings... Dublin: University College Dublin, 2017. p. 161.| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 47. | | CESAR, A. S. M.; REGITANO, L. C. de A.; REECY, J. M.; POLETI, M. D.; OLIVEIRA, P. S. N. de; OLIVEIRA, G. B. de; MOREIRA, G. C. M.; MUDADU, M. de A.; TIZIOTO, P. L.; KOLTES, J. E.; Fritz-Waters, E.; KRAMER, L.; GARRICK, D.; BEIKI, H.; GEISTLINGER, L.; MOURÃO, G. B.; ZERLOTINI NETO, A.; COUTINHO, L. L. Identification of putative regulatory regions and transcription factors associated with intramuscular fat content traits. BMC Genomics, v. 19, p. 1-20, 2018. Article number: 499. Na publicação: Luciana C. A. Regitano, Maurício A. Mudadu, Adhemar Zerlotini.| Biblioteca(s): Embrapa Agricultura Digital; Embrapa Pecuária Sudeste. |
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| 48. | | TIZIOTO, P. C.; TAYLOR, J. F.; DECKER, J. E.; GROMBONI, C. F.; MUDADU, M. de A.; SCHNABEL, R. D.; COUTINHO, L. L.; MOURAO, G. B.; OLIVEIRA, P. S. N. de; SOUZA, M. M.; REECY, J. M.; NASSU, R. T.; DONATONI, F. A. B.; THOLON, P.; SONSTEGARD, T. S.; ALENCAR, M. M. de; TULLIO, R. R.; NOGUEIRA, A. R. de A.; REGITANO, L. C. de A. Detection of quantitative trait loci for mineral content of Nelore longissimus dorsi muscle. Genetics Selection Evolution, v. 47, n. 15, 2015.| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 49. | | MUDADU, M. de A.; PORTO NETO, L. R.; MOKRY, F. B.; TIZIOTO, P. C.; OLIVEIRA, P. S. N. de; TULLIO, R. R.; NASSU, R. T.; NICIURA, S. C. M.; THOLON, P.; ALENCAR, M. M. de; HIGA, R. H.; ROSA, A. do N.; FEIJO, G. L. D.; FERRAZ, A. L. J.; SILVA, L. O. C. da; MEDEIROS, S. R. de; LANNA, D. P. D.; NASCIMENTO, M. L. do; CHAVES, A. S.; SOUZA, A. R. D. L.; PACKER, I. U.; TORRES JUNIOR, R. A. de A.; SIQUEIRA, F.; MOURAO, G. B.; COUTINHO, L. L.; REVERTER, A.; REGITANO, L. C. de A. Erratum to: 'Genomic structure and marker-derived gene networks for growth and meat quality traits of brazilian nelore beef cattle'. BMC Genomics, v. 17, n. 492, p. 1-2, 2016.| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 50. | | MUDADU, M. de A.; PORTO NETO, L. R.; MOKRY, F. B.; TIZIOTO, P. C.; OLIVEIRA, P. S. N. de; TULLIO, R. R.; NASSU, R. T.; NICIURA, S. C. M.; THOLON, P.; ALENCAR, M. M. de; HIGA, R. H.; ROSA, A. do N.; FEIJO, G. L. D.; FERRAZ, A. L. J.; SILVA, L. O. C. da; MEDEIROS, S. R. de; LANNA, D. P. D.; NASCIMENTO, M. L. do; CHAVES, A. S.; SOUZA, A. R. D. L.; PACKER, I. U.; TORRES JUNIOR, R. A. de A.; SIQUEIRA, F.; MOURAO, G. B.; COUTINHO, L. L.; REVERTER, A.; REGITANO, L. C. de A. Genomic structure and marker-derived gene networks for growth and meat quality traits of brazilian nelore beef cattle. BMC Genomics, v. 17, n. 235, p. 1-16, 2016.| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| Registros recuperados : 50 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Agricultura Digital; Embrapa Pecuária Sudeste. |
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Data corrente: |
20/12/2018 |
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Data da última atualização: |
19/02/2019 |
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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: |
CESAR, A. S. M.; REGITANO, L. C. de A.; REECY, J. M.; POLETI, M. D.; OLIVEIRA, P. S. N. de; OLIVEIRA, G. B. de; MOREIRA, G. C. M.; MUDADU, M. de A.; TIZIOTO, P. L.; KOLTES, J. E.; Fritz-Waters, E.; KRAMER, L.; GARRICK, D.; BEIKI, H.; GEISTLINGER, L.; MOURÃO, G. B.; ZERLOTINI NETO, A.; COUTINHO, L. L. |
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Afiliação: |
ALINE S. M. CESAR, USP, Iowa State University; LUCIANA CORREIA DE ALMEIDA REGITANO, CPPSE; JAMES M. REECY, Iowa State University; MIRELE D. POLETI, USP; Priscila Silva Neubern de Oliveira, Bolsista/Embrapa Pecuária Sudeste; GABRIELLA B. DE OLIVEIRA, USP; GABRIEL C. M. MOREIRA, USP; MAURICIO DE ALVARENGA MUDADU, CNPTIA; POLYANA C. TIZIOTO, USP; JAMES EUGENE KOLTES, Iowa State University; Elyn Fritz-Waters, Iowa State University; LUKE KRAMER, Iowa State University; DORIAN GARRICK, Massey University; HAMID BEIKI, Iowa State University; LUDWIG GEISTLINGER, Bolsista/Embrapa Pecuária Sudeste; GERSON B. MOURÃO, USP; ADHEMAR ZERLOTINI NETO, CNPTIA; Luiz Lehmann Coutinho, USP. |
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Título: |
Identification of putative regulatory regions and transcription factors associated with intramuscular fat content traits. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
BMC Genomics, v. 19, p. 1-20, 2018. |
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DOI: |
https://doi.org/10.1186/s12864-018-4871-y |
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Idioma: |
Inglês |
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Notas: |
Article number: 499. Na publicação: Luciana C. A. Regitano, Maurício A. Mudadu, Adhemar Zerlotini. |
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Conteúdo: |
Background: Integration of high throughput DNA genotyping and RNA-sequencing data allows for the identification of genomic regions that control gene expression, known as expression quantitative trait loci (eQTL), on a whole genome scale. Intramuscular fat (IMF) content and carcass composition play important roles in metabolic and physiological processes in mammals because they influence insulin sensitivity and consequently prevalence of metabolic diseases such as obesity and type 2 diabetes. However, limited information is available on the genetic variants and mechanisms associated with IMF deposition in mammals. Thus, our hypothesis was that eQTL analyses could identify putative regulatory regions and transcription factors (TFs) associated with intramuscular fat (IMF) content traits. Results: We performed an integrative eQTL study in skeletal muscle to identify putative regulatory regions and factors associated with intramuscular fat content traits. Data obtained from skeletal muscle samples of 192 animals was used for association analysis between 461,466 SNPs and the transcription level of 11,808 genes. This yielded 1268 cis- and 10,334 trans-eQTLs, among which we identified nine hotspot regions that each affected the expression of > 119 genes. These putative regulatory regions overlapped with previously identified QTLs for IMF content. Three of the hotspots respectively harbored the transcription factors USF1, EGR4 and RUNX1T1, which are known to play important roles in lipid metabolism. From co-expression network analysis, we further identified modules significantly correlated with IMF content and associated with relevant processes such as fatty acid metabolism, carbohydrate metabolism and lipid metabolism. Conclusion: This study provides novel insights into the link between genotype and IMF content as evident from the expression level. It thereby identifies genomic regions of particular importance and associated regulatory factors. These new findings provide new knowledge about the biological processes associated with genetic variants and mechanisms associated with IMF deposition in mammals. MenosBackground: Integration of high throughput DNA genotyping and RNA-sequencing data allows for the identification of genomic regions that control gene expression, known as expression quantitative trait loci (eQTL), on a whole genome scale. Intramuscular fat (IMF) content and carcass composition play important roles in metabolic and physiological processes in mammals because they influence insulin sensitivity and consequently prevalence of metabolic diseases such as obesity and type 2 diabetes. However, limited information is available on the genetic variants and mechanisms associated with IMF deposition in mammals. Thus, our hypothesis was that eQTL analyses could identify putative regulatory regions and transcription factors (TFs) associated with intramuscular fat (IMF) content traits. Results: We performed an integrative eQTL study in skeletal muscle to identify putative regulatory regions and factors associated with intramuscular fat content traits. Data obtained from skeletal muscle samples of 192 animals was used for association analysis between 461,466 SNPs and the transcription level of 11,808 genes. This yielded 1268 cis- and 10,334 trans-eQTLs, among which we identified nine hotspot regions that each affected the expression of > 119 genes. These putative regulatory regions overlapped with previously identified QTLs for IMF content. Three of the hotspots respectively harbored the transcription factors USF1, EGR4 and RUNX1T1, which are known to play important roles in l... Mostrar Tudo |
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Palavras-Chave: |
Ácidos graxos; Doenças metabólicas; EQTL; Expressão gênica; Expression quantitative trait loci. |
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Thesaurus NAL: |
Fatty acids; Gene expression; Mammals; Metabolic diseases. |
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Categoria do assunto: |
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L Ciência Animal e Produtos de Origem Animal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/189052/1/AP-Identification-Cesar-etal.pdf
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Marc: |
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001 2106227
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008 2018 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1186/s12864-018-4871-y$2DOI
100 1 $aCESAR, A. S. M.
245 $aIdentification of putative regulatory regions and transcription factors associated with intramuscular fat content traits.$h[electronic resource]
260 $c2018
500 $aArticle number: 499. Na publicação: Luciana C. A. Regitano, Maurício A. Mudadu, Adhemar Zerlotini.
520 $aBackground: Integration of high throughput DNA genotyping and RNA-sequencing data allows for the identification of genomic regions that control gene expression, known as expression quantitative trait loci (eQTL), on a whole genome scale. Intramuscular fat (IMF) content and carcass composition play important roles in metabolic and physiological processes in mammals because they influence insulin sensitivity and consequently prevalence of metabolic diseases such as obesity and type 2 diabetes. However, limited information is available on the genetic variants and mechanisms associated with IMF deposition in mammals. Thus, our hypothesis was that eQTL analyses could identify putative regulatory regions and transcription factors (TFs) associated with intramuscular fat (IMF) content traits. Results: We performed an integrative eQTL study in skeletal muscle to identify putative regulatory regions and factors associated with intramuscular fat content traits. Data obtained from skeletal muscle samples of 192 animals was used for association analysis between 461,466 SNPs and the transcription level of 11,808 genes. This yielded 1268 cis- and 10,334 trans-eQTLs, among which we identified nine hotspot regions that each affected the expression of > 119 genes. These putative regulatory regions overlapped with previously identified QTLs for IMF content. Three of the hotspots respectively harbored the transcription factors USF1, EGR4 and RUNX1T1, which are known to play important roles in lipid metabolism. From co-expression network analysis, we further identified modules significantly correlated with IMF content and associated with relevant processes such as fatty acid metabolism, carbohydrate metabolism and lipid metabolism. Conclusion: This study provides novel insights into the link between genotype and IMF content as evident from the expression level. It thereby identifies genomic regions of particular importance and associated regulatory factors. These new findings provide new knowledge about the biological processes associated with genetic variants and mechanisms associated with IMF deposition in mammals.
650 $aFatty acids
650 $aGene expression
650 $aMammals
650 $aMetabolic diseases
653 $aÁcidos graxos
653 $aDoenças metabólicas
653 $aEQTL
653 $aExpressão gênica
653 $aExpression quantitative trait loci
700 1 $aREGITANO, L. C. de A.
700 1 $aREECY, J. M.
700 1 $aPOLETI, M. D.
700 1 $aOLIVEIRA, P. S. N. de
700 1 $aOLIVEIRA, G. B. de
700 1 $aMOREIRA, G. C. M.
700 1 $aMUDADU, M. de A.
700 1 $aTIZIOTO, P. L.
700 1 $aKOLTES, J. E.
700 1 $aFritz-Waters, E.
700 1 $aKRAMER, L.
700 1 $aGARRICK, D.
700 1 $aBEIKI, H.
700 1 $aGEISTLINGER, L.
700 1 $aMOURÃO, G. B.
700 1 $aZERLOTINI NETO, A.
700 1 $aCOUTINHO, L. L.
773 $tBMC Genomics$gv. 19, p. 1-20, 2018.
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