Relative expression software tool (REST©) for group-wise comparison and statistical analysis of relative expression results in real-time PCR
By M. W. Pfaffl, Graham W. Horgan, L. Dempfle. 2002
7,749 citations recorded by the source corpus.
Subfields: Molecular Biology
View Paper: https://www.semanticscholar.org/paper/e0e4c1ef0d061c508382e260e4e9fd615f7ef2e8
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In Molecular Biology
Citations in the corpus
- Administered mesenchymal stem cells protect against ischemic acute renal failure through differentiation-independent mechanisms. (2005, methodology): “The relative quantity of mRNA expression was calculated with the comparative CP method using the following formula (27)”
- The Notch target genes Hey1 and Hey2 are required for embryonic vascular development. (2004, methodology): “Relative expression levels and statistical significance were calculated based on an Hprt standard using REST software (Pfaffl et al. 2002).”
- A Wolbachia symbiont in Aedes aegypti limits infection with dengue, Chikungunya, and Plasmodium. (2009, methodology): “Treatment effects on the expression ratios were examined using Mann Whitney-U tests in STATISTICA V8 (StatSoft, Inc.) and fold change was calculated by the REST method (Pfaffl et al., 2002).”
- Comprehending crystalline β-carotene accumulation by comparing engineered cell models and the natural carotenoid-rich system of citrus (2011, positive): “A relative expression ratio plot was generated using the software REST-MCS, and the log2-fold expression level of miRNAs and target genes was calculated for treatment versus control (Pfaffl et al., 2002).”
- Real-time quantitative PCR: a new technology to detect and study phytopathogenic and antagonistic fungi (2004, methodology): “Generally, two quantification strategies can be performed: absolute and relative quantification (Livak and Schmittgen 2001; Pfaffl and Hageleit, 2001; Pfaffl et al., 2002).”
- The lack of a systematic validation of reference genes: a serious pitfall undervalued in reverse transcription-polymerase chain reaction (RT-PCR) analysis in plants. (2008, methodology): “For this purpose, statistical algorithms, including the geNorm software used in this study, have been developed recently to identify the best reference genes for use under given experimental conditions (Pfaffl et al ., 2002, 2004; Vandesompele et al ., 2002).”
- Ecophysiological and transcriptomic responses of oak (Quercus robur) to long-term drought exposure and rewatering (2012, neutral): “13) (Pfaffl et al., 2002).”
- Identification of genes involved in the response of leaves of Phaseolus vulgaris to drought stress (2008, methodology): “The control group included 30 plants from groups having mean WC from 88% to 91% (Table 1). The bootstrap randomization technique ( Pfaffl et al. 2002 ) implemented in REST 2005 software, was used to confirm the significance (at P < 0.05) of the differential expression of 16 genes in leaves of P. vul”
- Expression of therapeutic proteins after delivery of chemically modified mRNA in mice (2011, methodology): “Differences in mRNA expression between groups were analyzed by pair-wise fixed reallocation randomization tests with REST 2005 softwar”
- Induced systemic resistance in tomato (Solanum lycopersicum) against Botrytis cinerea by biochar amendment involves jasmonic acid signaling (2015, neutral): “In accordance with Nahar et al. (2011), data were analyzed using the REST 2009 software (Corbett Research ) (Pfaffl et al. 2002; Vandesompele et al. 2002).”
- Differential gene expression after total replacement of dietary fish meal and fish oil by plant products in rainbow trout (Oncorhynchus mykiss) liver (2009, methodology): “Statistical differences in gene expression between control and sample were evaluated in group means by randomisation tests (Pfaffl, 2001; Pfaffl et al., 2002) using REST© software.”
- Statistical analysis of real-time PCR data (2006, positive): “One of the few studies that employed substantial statistical analysis used the REST® program [8].”
- Vasculotropic, paracrine actions of infused mesenchymal stem cells are important to the recovery from acute kidney injury. (2007, methodology): “Real-time PCR with relative quantification of target gene copy numbers in relation to -actin, 18S RNA, and RP-II transcripts (with a correction factor normalizing for these 3 housekeeping genes calculated by the REST program) was carried out as described in detail elsewhere (28, 39).”