Single-Cell Signature Explorer for Comprehensive Visualization of Single Cell Signatures Across ScRNA-seq Datasets

Overview

Journal Nucleic Acids Res

Publisher Oxford University Press

Specialty Biochemistry

Date 2019 Jul 12

PMID 31294801

Citations 71

Authors

Frederic Pont

Marie Tosolini

Jean J Fournie

Affiliations

Soon will be listed here.

Abstract

The momentum of scRNA-seq datasets prompts for simple and powerful tools exploring their meaningful signatures. Here we present Single-Cell_Signature_Explorer (https://sites.google.com/site/fredsoftwares/products/single-cell-signature-explorer), the first method for qualitative and high-throughput scoring of any gene set-based signature at the single cell level and its visualization using t-SNE or UMAP. By scanning datasets for single or combined signatures, it rapidly maps any multi-gene feature, exemplified here with signatures of cell lineages, biological hallmarks and metabolic pathways in large scRNAseq datasets of human PBMC, melanoma, lung cancer and adult testis.

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