ArticleNature methods2019
Gene expression atlas of a developing tissue by single cell expression correlation analysis.
Article in Nature methods, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.
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Who cites it
46 citing papers in PubMed.
- Arginine Kinase 1 supports energy homeostasis in Drosophila flight muscle development.PLoS genetics · 2026Article
- A single-cell atlas of alternative wing development in two hemipteran species.Nature communications · 2026Article
- Rewiring of two conserved signalling hubs into one axis underlies convergent female-specific wing regression in insects.Nature ecology & evolution · 2026Article
- Structural variants are enriched in deleterious visible phenotypes inGenome research · 2026Article
- A muscle-centered hierarchical breakdown underlies flight loss during silkworm domestication.iScience · 2026Article
- Single-cell transcriptomics of X-ray irradiatedeLife · 2026Article
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- SC2Spa: a deep learning based approach to map transcriptome to spatial origins at cellular resolution.BMC bioinformatics · 2025Article
- Single-cell RNA sequencing in studies of type 1 diabetes mellitus: modern state-of-the-art and technical peculiarities.Frontiers in endocrinology · 2025Review
- Leveraging gene correlations in single cell transcriptomic data.BMC bioinformatics · 2024Article
- Characterizing diseases using genetic and clinical variables: A data analytics approach.Quantitative biology (Beijing, China) · 2024Article
- A robust model for cell type-specific interindividual variation in single-cell RNA sequencing data.Nature communications · 2024Article
- eMCI: An Explainable Multimodal Correlation Integration Model for Unveiling Spatial Transcriptomics and Intercellular Signaling.Research (Washington, D.C.) · 2024Article
- Review
- Enablers and challenges of spatial omics, a melting pot of technologies.Molecular systems biology · 2023Review
- Leveraging gene correlations in single cell transcriptomic data.bioRxiv : the preprint server for biology · 2023Article
- Glyoxal as an alternative fixative for single-cell RNA sequencing.G3 (Bethesda, Md.) · 2023Article
- Article
- Testing for Phylogenetic Signal in Single-Cell RNA-Seq Data.Journal of computational biology : a journal of computational molecular cell biology · 2023Article
- A robust model for cell type-specific interindividual variation in single-cell RNA sequencing data.bioRxiv : the preprint server for biology · 2023Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
The Drosophila wing disc has been a fundamental model system for the discovery of key signaling pathways and for our understanding of developmental processes. However, a complete map of gene expression in this tissue is lacking. To obtain a gene expression atlas in the wing disc, we employed single cell RNA sequencing (scRNA-seq) and developed a method for analyzing scRNA-seq data based on gene expression correlations rather than cell mapping. This enables us to compute expression maps for all detected genes in the wing disc and to discover 824 genes with spatially restricted expression patterns. This approach identifies clusters of genes with similar expression patterns and functional relevance. As proof of concept, we characterize the previously unstudied gene CG5151 and show that it regulates Wnt signaling. Our method will enable the leveraging of scRNA-seq data for generating expression atlases of undifferentiated tissues during development.
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