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

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.

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Publication Details

Journal
Nature Communications
Published
2026-04-01
DOI
https://doi.org/10.1038/s41467-026-70989-w
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.00

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article

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

R. Dennis Peterson, James A. Gagnon, Clayton M. Carey, Zachary J. Brandt et al.
Nature Communications
Single-cell and spatial transcriptomics
article

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

R. Dennis Peterson, James A. Gagnon, Clayton M. Carey, Zachary J. Brandt, Saba Parvez, Brent W. Bisgrove
article en

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.

Nature Communications
Northwestern University (US), University of Utah (US)
National Institutes of Health
Openalex Percentile: Top 27%
Single-cell and spatial transcriptomics
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