Background: Time-series scRNA-seq data have opened a door to elucidate cell differentiation, and in this context, the optimal transport theory has been attracting much attention. However, there remain critical issues in interpretability and computational cost.
Results: We present scEGOT, a comprehensive framework for single-cell trajectory inference, as a generative model with high interpretability and low computational cost.
Adzuki bean is an important legume crop originating in temperate regions, with photoperiod in sensitivity being a key factor in its latitudinal adaptation. The () gene has a large effect on the photoperiodic response of flowering time, but the molecular basis for the effect of this locus is undetermined. The present study delimited the locus to a 17.
View Article and Find Full Text PDFSingle-cell RNA sequencing (scRNA-seq) can determine gene expression in numerous individual cells simultaneously, promoting progress in the biomedical sciences. However, scRNA-seq data are high-dimensional with substantial technical noise, including dropouts. During analysis of scRNA-seq data, such noise engenders a statistical problem known as the curse of dimensionality (COD).
View Article and Find Full Text PDFDifferentiation into specific embryo cell types correlates with the processes that lead to the accumulation of seed storage proteins in plants. The alpha subunit of beta-conglycinin, a major component of seed storage proteins in soybean, accumulates at a higher level in cotyledons than in the embryonic axis in developing embryos. To understand the mechanisms underlying this phenomenon, we characterized the upstream region of the alpha subunit gene in terms of transcriptional control using transgenic Arabidopsis thaliana plants carrying reporter gene constructs comprising the 1357-bp upstream sequence of the alpha subunit gene and the beta-glucuronidase (GUS) gene.
View Article and Find Full Text PDF