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| Registros recuperados : 7 | |
| 2. |  | KULCHESKI, F. R.; MARCELINO-GUIMARAES, F. C.; NEPOMUCENO, A. L.; ABDELNOOR, R. V.; MARGIS, R. The use of microRNAs as reference genes for quantitative polymerase chain reaction in soybean. Analytical Biochemistry, Amsterdam, v. 406, n. 2, p. 185-192, nov. 2010.| Biblioteca(s): Embrapa Soja. |
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| 4. | | NASCIMENTO, L. C.; COSTA, G. G. L.; VIDAL, R. O.; MEYER, L.; BINNECK, E.; KIDO, E. A.; RODRIGUES, F.; KULCHESKI, F. R.; NEPOMUCENO, A. L.; ABDELNOOR, R. V.; PEREIRA, G. A. G.; CARAZZOLLE, M. F. Bioinformatics analysis applied to genosoja project. In: INTERNATIONAL CONFERENCE OF THE BRAZILIAN ASSOCIATION FOR BIOINFORMATICS AND COMPUTATIONAL BIOLOGY, 5., 2009, Angra dos Reis. Abstracts book ... Rio de Janeiro: AB3C, 2009. p. 22. X-Meeting 2009.| Biblioteca(s): Embrapa Soja. |
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| 5. | | NASCIMENTO, L. C.; COSTA, G. G. L.; MEYER, L.; BINNECK, E.; RODRIGUES, F.; KULCHESKI, F. R.; MARGIS, R.; KIDO, E. A.; MARCELINO, F. C.; NEPOMUCENO, A. L.; ABDELNOOR, R. V.; PEREIRA, G. A. G.; CARAZZOLLE, M. F. A brazilian soybean database. In: INTERNATIONAL CONFERENCE OF THE BRAZILIAN ASSOCIATION FOR BIOINFORMATICS AND COMPUTATIONAL BIOLOGY, 6., 2010, Ouro Preto. Abstracts book... Ouro Preto: AB3C, 2010. p. 120. X-Meeting 2010.| Biblioteca(s): Embrapa Soja. |
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| 6. | | KULCHESKI, F. R.; OLIVEIRA, L. F. V.; MOLINA, L. G.; ALMERAO, M. P.; RODRIGUES, F. A.; MARCOLINO, J.; BARBOSA, J. F.; STOLF-MOREIRA, R.; NEPOMUCENO, A. L.; MARCELINO-GUIMARÃES, F. C.; ABDELNOOR, R. V.; NASCIMENTO, L. C.; CARAZZOLLE, M. F.; PEREIRA, G. A. G.; MARGIS, R. Identification of novel soybean microRNAs involved in abiotic and biotic stresses. BMC Genomics, v. 12, n. 307, jun. 2011. 17 p.| Biblioteca(s): Embrapa Soja. |
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| 7. | | KULCHESKI, F. R.; OLIVEIRA, L. F. V.; MOLINA, L. G.; ALMERÃO, M.; RODRIGUES, F. A.; MARCOLINO, J.; BARBOSA, J. F.; STOLF-MOREIRA, R.; NEPOMUCENO, A. L.; MARCELINO, F. C.; ABDELNOOR, R. V.; NASCIMENTO, L. C.; CARAZZOLLE, M. F.; PEREIRA, G. A. G.; MARGIS, R. Identification of novel soybean microRNAs involved in abiotic and biotic stresses. In: BRAZILIAN SYMPOSIUM ON PLANT MOLECULAR BIOLOGY, 3., 2011, Ilhéus. [Abstracts...]. [Ribeirão Preto]: SBG, 2011. 1 p. 1 CD-ROM.| Biblioteca(s): Embrapa Soja. |
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| Registros recuperados : 7 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Soja. |
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Data corrente: |
24/01/2011 |
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Data da última atualização: |
03/06/2011 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
KULCHESKI, F. R.; MARCELINO, F. C.; NEPOMUCENO, A. L.; ABDELNOOR, R. V.; MARGIS, R. |
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Afiliação: |
F. R. KULCHESKI, Universidade Federal do Rio Grande do Sul, UFRGS; FRANCISMAR CORREA MARCELINO, CNPSO; ALEXANDRE LIMA NEPOMUCENO, CNPSO; RICARDO VILELA ABDELNOOR, CNPSO; R. MARGIS, Universidade Federal do Rio Grande do Sul, UFRGS. |
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Título: |
The use of microRNAs as universal reference genes in quantitative PCR. |
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Ano de publicação: |
2010 |
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Fonte/Imprenta: |
In: CONGRESSO BRASILEIRO DE GENÉTICA, 56., 2010, Guarujá. Resumos... [Curitiba]: UFPR, 2010. p. 312. |
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Idioma: |
Português |
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Conteúdo: |
Reverse transcription quantitative real-time PCR (RT-qPCR) is a robust and widely applied technique used to investigate gene expression. However, for correct analysis and interpretation of results, the choice of a suitable gene to use as an internal control is a crucial factor. These genes, such as housekeeping genes, should have a constant expression level in different tissues and across different conditions. The advances in genome sequencing have provided high-throughput gene expression analysis and have contributed to the identification of new genes, including microRNAs (miRNAs). The miRNAs are fundamental regulatory genes of eukaryotic genomes, acting on several biological functions. In this study, miRNA expression stability was investigated in different soybean tissues and genotypes as well as after abiotic or biotic stress treatments. The present study represents the first investigation into the suitability of miRNAs as housekeeping genes in plants. The transcript stability of ten miRNAs was compared to those of six previously reported housekeeping genes for the soybean. In this study, we provide evidence that miRNA expression stability can be greater than the expression stability of protein-coding genes. In addition, we conclude that miRNAs are optimal reference genes not only. |
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Thesagro: |
Soja. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/25959/1/GP-312.pdf
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Marc: |
LEADER 01837nam a2200169 a 4500
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100 1 $aKULCHESKI, F. R.
245 $aThe use of microRNAs as universal reference genes in quantitative PCR.
260 $aIn: CONGRESSO BRASILEIRO DE GENÉTICA, 56., 2010, Guarujá. Resumos... [Curitiba]: UFPR, 2010. p. 312.$c2010
520 $aReverse transcription quantitative real-time PCR (RT-qPCR) is a robust and widely applied technique used to investigate gene expression. However, for correct analysis and interpretation of results, the choice of a suitable gene to use as an internal control is a crucial factor. These genes, such as housekeeping genes, should have a constant expression level in different tissues and across different conditions. The advances in genome sequencing have provided high-throughput gene expression analysis and have contributed to the identification of new genes, including microRNAs (miRNAs). The miRNAs are fundamental regulatory genes of eukaryotic genomes, acting on several biological functions. In this study, miRNA expression stability was investigated in different soybean tissues and genotypes as well as after abiotic or biotic stress treatments. The present study represents the first investigation into the suitability of miRNAs as housekeeping genes in plants. The transcript stability of ten miRNAs was compared to those of six previously reported housekeeping genes for the soybean. In this study, we provide evidence that miRNA expression stability can be greater than the expression stability of protein-coding genes. In addition, we conclude that miRNAs are optimal reference genes not only.
650 $aSoja
700 1 $aMARCELINO, F. C.
700 1 $aNEPOMUCENO, A. L.
700 1 $aABDELNOOR, R. V.
700 1 $aMARGIS, R.
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