T
Thomas D. Schmittgen
Researcher at University of Florida
Publications - 119
Citations - 177830
Thomas D. Schmittgen is an academic researcher from University of Florida. The author has contributed to research in topics: microRNA & Cancer. The author has an hindex of 48, co-authored 111 publications receiving 150512 citations. Previous affiliations of Thomas D. Schmittgen include University of Southern California & University of Oklahoma.
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Analysis of relative gene expression data using real-time quantitative pcr and the 2(-delta delta c(t)) method
TL;DR: The 2-Delta Delta C(T) method as mentioned in this paper was proposed to analyze the relative changes in gene expression from real-time quantitative PCR experiments, and it has been shown to be useful in the analysis of realtime, quantitative PCR data.
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Analyzing real-time PCR data by the comparative C(T) method.
TL;DR: This protocol provides an overview of the comparative CT method for quantitative gene expression studies and various examples to present quantitative gene Expression data using this method.
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Real-time quantitative PCR.
TL;DR: Benefits of real-time PCR include enhanced sensitivity, high throughput, use of a closed-tube system, reduced variation, the ability to simultaneously multiplex reactions, and lack of post-PCR manipulations.
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Detection of microRNA Expression in Human Peripheral Blood Microvesicles
Melissa Piper Hunter,Noura Ismail,Noura Ismail,Xiaoli Zhang,Baltazar D. Aguda,Eun Joo Lee,Lianbo Yu,Tao Xiao,Jeffrey Schafer,Mei-Ling Ting Lee,Thomas D. Schmittgen,S. Patrick Nana-Sinkam,David Jarjoura,Clay B. Marsh,Clay B. Marsh +14 more
TL;DR: This study is the first to identify and define miRNA expression in circulating plasma microvesicles of normal subjects, and provides a basis for future studies to determine the predictive role of peripheral blood miRNA signatures in human disease.
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Effect of experimental treatment on housekeeping gene expression: validation by real-time, quantitative RT-PCR
TL;DR: Beta-2 microglobulin and 18S rRNA are suitable internal control genes in quantitative serum-stimulation studies, while beta-actin and GAPDH are not.