VASA-seq sequences total RNA in single cells, revealing non-coding expression and splicing patterns
F.S., A.v.O., J.D.J., T.S.K. and F.H. are inventors on patent applications submitted by the Stichting Oncode Institute on behalf of Koninklijke Nederlandse Akademie Van Wetenschappen and the University of Cambridge . A.v.O. is a member of the advisory board of Single-Cell Discoveries.thanks Kun Zhang, Bart Deplancke and the other, anonymous, reviewer for their contribution to the peer review of this work.
-seq detected proportionally larger amounts of lncRNA genes compared to the other technologies. The proportion of detected sncRNAs in -drop and -plate when sequenced at a depth of approximately 750,000 reads per cell. Data in boxplot represent the 25%, median and 75% percentiles with minimum and maximum values. The number of cells sampled were, Percentage of sequenced reads with proper barcodes that survived trimming, rRNA filtering and mapping for each method using HEK2993T cells ., Percentage of unspliced reads for each method for HEK293T cells.
-seq that were part of equivalent clusters. Clusters that are detected in both technologies are marked with numbers 1–16 and each cluster is colored according to the cell type category: blue=ectoderm and grey=epiblast. Grey fill in cluster label indicates extra-embryonic contribution, black fill indicates embryonic contribution., UMAP of E7.5 mouse embryo cells from 10x and
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