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Loupe cell browser

Manufactured by Genomics Plc

The Loupe Cell Browser is a software tool that enables visualization and analysis of single-cell genomic data. It provides a user-friendly interface to explore and interact with high-dimensional datasets, allowing researchers to gain insights into cellular heterogeneity and population dynamics.

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2 protocols using loupe cell browser

1

Dimensionality Reduction and Clustering of Single-Cell Transcriptomes

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t-SNE dimensionality reduction of cells based on whole transcriptomes was generated by 10x Genomics Cell Ranger pipeline (version 3.0), as reported previously (Larkin et al., 2019 (link)). Dimensionality of gene-barcode matrices was first reduced to 10 principal components using principal-component analysis (PCA). PCA-reduced data were further reduced to 2D space using the t-SNE method and visualized in the Loupe Cell Browser (10× Genomics) and/or R. Graph-based clustering of cells was conducted in the PCA space; a sparse nearest-neighbor graph of the cells was built first, and Louvain modularity optimization was then applied. The number of nearest neighbors was logarithmically in accordance with the number of cells. In the last step, repeated cycles of hierarchical clustering and merging of cluster pairs that had no significant differential expression were performed until no more cluster pairs could merge.
3D t-SNEs of cells were calculated using the “cellranger reanalyze” command with modified parameters and visualized using R plotly package (https://plot.ly).
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2

Single-cell RNA-seq of Thymic Epithelial Cells

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Immediately postsorting, CD45 DAPI EpCAM+total TECs were run on the 10× Chromium and then single‐cell RNA‐seq libraries were generated using the Chromium Single Cell 3′ Reagent Kit (10× Genomics) by the core facility at the Embryology Department of Carnegie Institute for Science. Briefly, TEC single‐cell suspension (~1,000 cells per 1 µl PBS) was mixed thoroughly with Single Cell 3′ gel beads and partitioning oil into a Single Cell 3′ Chip (10× genomics) following the recommended protocol for the Chromium Single Cell 3′ Reagent Kit (v2 Chemistry). RNA transcripts of single cells were uniquely barcoded and reverse‐transcribed within the individual droplets. cDNA molecules were then pre‐amplified and pooled together followed by the final library construction. Libraries were sequenced by paired‐end 150‐bp reads on Illumina NextSeq 500. Postprocessing and quality control were performed by the same genomics core facility using the 10× Cell Ranger package (V2.1.1, 10× Genomics) as described by Zheng et al. (2017). Reads were aligned to mm10 reference assembly (v1.2.0, 10× Genomics). After cell demultiplexing and read counting, all three samples were combined using the cellranger aggr pipeline (Zheng et al., 2017). Cell visualization was done using the Loupe Cell Browser (10× Genomics).
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