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Methods and tools for spatial mapping of single-cell RNAseq clusters in Drosophila by Stephanie E Mohr; Sudhir Gopal Tattikota; Jun Xu; Jonathan Zirin; Yanhui Hu; Norbert Perrimon is a Biochemistry, Genetics and Molecular Biology article available to read on EtoBox.

What is Methods and tools for spatial mapping of single-cell RNAseq clusters in Drosophila about?

## Abstract Single-cell RNA sequencing (scRNAseq) experiments provide a powerful means to identify clusters of cells that share common gene expression signatures. A major challenge in scRNAseq studies is to map the clusters to specific anatomical regions along the body and within tissues. Existing data, such as information obtained from large-scale in situ RNA hybridization studies, cell type specific transcriptomics, gene expression reporters, antibody stainings, and fluorescent tagged proteins, can help to map clusters to anatomy. However, in many cases, additional validation is needed to precisely map the spatial location of cells in clusters. Several approaches are available for spatial resolution in Drosophila, including mining of existing datasets, and use of existing or new tools for direct or indirect detection of RNA, or direct detection of proteins. Here, we review available resources and emerging technologies that will facilitate spatial mapping of scRNAseq clusters at high resolution in Drosophila. Importantly, we discuss the need, available approaches, and reagents for multiplexing gene expression detection in situ, as in most cases scRNAseq clusters are defined by the

Who reads Methods and tools for spatial mapping of single-cell RNAseq clusters in Drosophila?

Author

Stephanie E Mohr; Sudhir Gopal Tattikota; Jun Xu; Jonathan Zirin; Yanhui Hu; Norbert Perrimon

Publisher

Oxford University Press (OUP)

Published

2021

Language

EN

Field

Biochemistry, Genetics and Molecular Biology (Life Sciences)