Housekeeping genes

Selection and validation of reference house­keeping genes in the J774A1 macrophage cell line for quantitative real-time PCR

F. B. Ferraz, Fernandez, J. H., Ferraz, F. B., and Fernandez, J. H., Selection and validation of reference house­keeping genes in the J774A1 macrophage cell line for quantitative real-time PCR, vol. 15, p. -, 2016.

Macrophages are essential components of the innate and adaptive immune responses, playing a decisive role in atherosclerosis, asthma, obesity, and cancer. The differential gene expression resulting from adhesion of macrophages to the extra-cellular matrix (ECM) has been studied in the J774A1 murine macrophage cell line using quantitative polymerase chain reaction (qPCR). The goal of this study was to identify housekeeping genes (HKGs) that remain stable and unaltered under normal culture conditions and in the presence of laminin after a time lapse of 6 and 24 h.

Reference genes for quantitative real-time polymerase chain reaction studies in soybean plants under hypoxic conditions

T. J. Nakayama, Rodrigues, F. A., Neumaier, N., Marcelino-Guimarães, F. C., Farias, J. R. B., de Oliveira, M. C. N., Borém, A., de Oliveira, A. C. B., Emygdio, B. M., and Nepomuceno, A. L., Reference genes for quantitative real-time polymerase chain reaction studies in soybean plants under hypoxic conditions, vol. 13, pp. 860-871, 2014.

Quantitative real-time polymerase chain reaction (RT-qPCR) is a powerful tool used to measure gene expression. However, because of its high sensitivity, the method is strongly influenced by the quality and concentration of the template cDNA and by the amplification efficiency. Relative quantification is an effective strategy for correcting random and systematic errors by using the expression level of reference gene(s) to normalize the expression level of the genes of interest.

Selection of optimized candidate reference genes for qRT-PCR normalization in rice (Oryza sativa L.) during Magnaporthe oryzae infection and drought

R. Bevitori, Oliveira, M. B., Grossi-de-Sá, M. F., Lanna, A. C., da Silveira, R. D., and Petrofeza, S., Selection of optimized candidate reference genes for qRT-PCR normalization in rice (Oryza sativa L.) during Magnaporthe oryzae infection and drought, vol. 13, pp. 9795-9805, 2014.

Drought and rice blast disease caused by Magnaporthe oryzae are two of the most serious threats to global rice production. To explore the mechanisms underlying gene expression induced in rice by stresses, studies involving transcriptome analyses have been conducted over the past few years. Thus, it is crucial to have a reliable set of reference genes to normalize the expression levels of rice genes affected by different stresses. To identify potential reference genes for studies of the differential expression of target genes in rice under M.

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