O
Omid R. Faridani
Researcher at Garvan Institute of Medical Research
Publications - 32
Citations - 10373
Omid R. Faridani is an academic researcher from Garvan Institute of Medical Research. The author has contributed to research in topics: microRNA & Gene. The author has an hindex of 15, co-authored 25 publications receiving 7540 citations. Previous affiliations of Omid R. Faridani include Ludwig Institute for Cancer Research & University of New South Wales.
Papers
More filters
Journal ArticleDOI
Full-length RNA-seq from single cells using Smart-seq2
Simone Picelli,Omid R. Faridani,Åsa K. Björklund,Gösta Winberg,Sven Sagasser,Rickard Sandberg +5 more
TL;DR: In this article, the authors presented a detailed protocol for Smart-seq2 that allows the generation of full-length cDNA and sequencing libraries by using standard reagents, and the entire protocol takes ∼2 d from cell picking to having a final library ready for sequencing; sequencing will require an additional 1-3 d depending on the strategy and sequencer.
Full-length RNA-seq from single cells using
TL;DR: A detailed protocol is presented for Smart-seq2 that allows the generation of full-length cDNA and sequencing libraries by using standard reagents and the lack of strand specificity and the inability to detect nonpolyadenylated (polyA−) RNA.
Journal ArticleDOI
Smart-seq2 for sensitive full-length transcriptome profiling in single cells
Simone Picelli,Åsa K. Björklund,Åsa K. Björklund,Omid R. Faridani,Sven Sagasser,Sven Sagasser,Gösta Winberg,Gösta Winberg,Rickard Sandberg,Rickard Sandberg +9 more
TL;DR: Smart-seq2 with improved reverse transcription, template switching and preamplification to increase both yield and length of cDNA libraries generated from individual cells to improve detection, coverage, bias and accuracy.
Journal ArticleDOI
Full-length mRNA-Seq from single-cell levels of RNA and individual circulating tumor cells
Daniel Ramsköld,Shujun Luo,Yu-Chieh Wang,Robin Li,Qiaolin Deng,Omid R. Faridani,Gregory A. Daniels,Irina Khrebtukova,Jeanne F. Loring,Louise C. Laurent,Gary P. Schroth,Rickard Sandberg,Rickard Sandberg +12 more
TL;DR: Applying Smart-Seq to circulating tumor cells from melanomas, it is found that although gene expression estimates from single cells have increased noise, hundreds of differentially expressed genes could be identified using few cells per cell type.
Journal ArticleDOI
Smart-seq2 for sensitive full-length transcriptome profiling in single cells
Simone Picelli,Åsa K. Björklund,Åsa K. Björklund,Omid R. Faridani,Sven Sagasser,Sven Sagasser,Gösta Winberg,Gösta Winberg,Rickard Sandberg,Rickard Sandberg +9 more
TL;DR: Smart-seq2 as discussed by the authors improved reverse transcription, template switching and preamplification to increase both yield and length of cDNA libraries generated from individual cells, which have improved detection, coverage, bias and accuracy compared to Smart-seq libraries and are generated with off-the-shelf reagents at lower cost.