MIC-Drop-seq: scalable single-cell phenotyping of mutant vertebrate embryos

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Authors: Clayton M. Carey, Saba Parvez, Zachary J. Brandt, Brent W. Bisgrove, Christopher M. Yates, R. Dennis Peterson, James A. Gagnon
Cited by: 2
References: 62

Abstract

Pooled perturbation screens can reveal cellular regulatory networks, yet scaling these techniques for large-scale screens in animals remains challenging. Here we present MIC-Drop-seq, a technique that addresses these challenges by combining high-throughput CRISPR gene disruption in zebrafish embryos with phenotyping by multiplexed single-cell RNAseq. In one MIC-Drop-seq experiment, we simultaneously identified changes in gene expression and cell abundance across 74 cell types resulting from loss of function of 50 transcription factors. These observations recapitulate many known phenotypes, while also uncovering previously uncharacterized roles for transcription factors in brain and mesoderm development. A key advantage of whole-animal screens is that they reveal how changes in one cell type affect the development of other cell types. Surprisingly, such cell-extrinsic phenotypes are abundant, indicating that transcription factors frequently exert effects beyond the cells where they are expressed to adjacent cells. We propose that MIC-Drop-seq will facilitate efforts to dissect the complete gene regulatory networks that guide animal development. Pooled single-cell perturbation screens can dissect genetic networks but face scalability issues in vivo. Here, the authors present MIC-Drop-seq, pairing high-throughput CRISPR in zebrafish with multiplexed scRNA-seq to enable scalable, whole-animal screening at single-cell resolution.

Fields of Study & Subjects

Single-cell and spatial transcriptomics Zebrafish Biomedical Research Applications Pluripotent Stem Cells Research

Publication details

Journal / source
Nature Communications
Publisher
Springer Science and Business Media LLC
Volume
17
Issue
1
Publication date
1 April 2026
Language
EN