A
Amin Forootan
Researcher at University of Gothenburg
Publications - 9
Citations - 2044
Amin Forootan is an academic researcher from University of Gothenburg. The author has contributed to research in topics: Myxoid liposarcoma & Fusion gene. The author has an hindex of 8, co-authored 8 publications receiving 1757 citations. Previous affiliations of Amin Forootan include Chalmers University of Technology.
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Journal ArticleDOI
The real-time polymerase chain reaction
Mikael Kubista,José Manuel Andrade,Martin Bengtsson,Amin Forootan,Jiri Jonák,Kristina Lind,Radek Sindelka,Robert Sjöback,Björn Sjögreen,Linda Strömbom,Anders Ståhlberg,Neven Zoric +11 more
TL;DR: The scientific, medical, and diagnostic communities have been presented the most powerful tool for quantitative nucleic acids analysis: real-time PCR, a refinement of the original Polymerase Chain Reaction (PCR) developed by Kary Mullis and coworkers in the mid 80:ies.
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Methods to determine limit of detection and limit of quantification in quantitative real-time PCR (qPCR).
TL;DR: This work presents methods to determine the limit of detection (LoD) and thelimit of quantification (LoQ) as applicable to qPCR, based on standard statistical methods as recommended by regulatory bodies adapted toqPCR and complemented with a novel approach to estimate the precision of LoD.
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Gene expression profiling - Clusters of possibilities
Anders Bergkvist,Vendula Rusnakova,Radek Sindelka,Jose Manuel Andrade Garda,Björn Sjögreen,Daniel Lindh,Amin Forootan,Mikael Kubista +7 more
TL;DR: This paper demonstrates several techniques available for exploratory studies on a system of Xenopus laevis development from egg to tadpole, and suggests that scientific reports should always have a hypothesis focus.
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RT-qPCR work-flow for single-cell data analysis.
TL;DR: This workflow is provide guide to the rapidly growing community studying single-cells by means of reverse transcription quantitative real-time PCR profiling and demonstrates different strategies for handling missing data and scaling data for downstream multivariate analysis.
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Multiway real-time PCR gene expression profiling in yeast Saccharomyces cerevisiae reveals altered transcriptional response of ADH-genes to glucose stimuli.
Anders Ståhlberg,Anders Ståhlberg,Karin Elbing,José Manuel Andrade-Garda,Björn Sjögreen,Amin Forootan,Mikael Kubista +6 more
TL;DR: A multiway study of the temporal response of four yeast Saccharomyces cerevisiae strains with different glucose uptake rates upon altered metabolic conditions finds that ADH4 and ADH6 show a behavior typical of glucose-induced genes, while ADH3 andADH5 are repressed after glucose addition.