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Single-cell transcriptomics requires a method that is sensitive, accurate, and reproducible. Here, we present CEL-Seq2, a modified version of our CEL-Seq method, with threefold higher sensitivity, lower costs, and less hands-on time. We implemented CEL-Seq2 on Fluidigm's C1 system, providing its first single-cell, on-chip barcoding method, and we detected gene expression changes accompanying the progression through the cell cycle in mouse fibroblast cells. We also compare with Smart-Seq to demonstrate CEL-Seq2's increased sensitivity relative to other available methods. Collectively, the improvements make CEL-Seq2 uniquely suited to single-cell RNA-Seq analysis in terms of economics, resolution, and ease of use.
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Tamar Hashimshony
Technion – Israel Institute of Technology
Naftalie Senderovich
Leverhulme Trust
Gal Avital
Ben-Gurion University of the Negev
Genome biology
Massachusetts Institute of Technology
Howard Hughes Medical Institute
Broad Institute
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Hashimshony et al. (Wed,) studied this question.
synapsesocial.com/papers/6a0159732ff633f365785e92 — DOI: https://doi.org/10.1186/s13059-016-0938-8