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Nature Genetics
Article . 2023 . Peer-reviewed
License: CC BY
Data sources: Crossref
Nature Genetics
Article . 2023
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Spatiotemporal transcriptomic maps of whole mouse embryos at the onset of organogenesis

Authors: Abhishek Sampath Kumar; Luyi Tian; Adriano Bolondi; Amèlia Aragonés Hernández; Robert Stickels; Helene Kretzmer; Evan Murray; +9 Authors

Spatiotemporal transcriptomic maps of whole mouse embryos at the onset of organogenesis

Abstract

AbstractSpatiotemporal orchestration of gene expression is required for proper embryonic development. The use of single-cell technologies has begun to provide improved resolution of early regulatory dynamics, including detailed molecular definitions of most cell states during mouse embryogenesis. Here we used Slide-seq to build spatial transcriptomic maps of complete embryonic day (E) 8.5 and E9.0, and partial E9.5 embryos. To support their utility, we developed sc3D, a tool for reconstructing and exploring three-dimensional ‘virtual embryos’, which enables the quantitative investigation of regionalized gene expression patterns. Our measurements along the main embryonic axes of the developing neural tube revealed several previously unannotated genes with distinct spatial patterns. We also characterized the conflicting transcriptional identity of ‘ectopic’ neural tubes that emerge in Tbx6 mutant embryos. Taken together, we present an experimental and computational framework for the spatiotemporal investigation of whole embryonic structures and mutant phenotypes.

Keywords

Mice, Phenotype, Organogenesis, Animals, Embryonic Development, Gene Expression Regulation, Developmental, Transcriptome, Embryo, Mammalian, T-Box Domain Proteins, Article

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
58
Top 1%
Top 10%
Top 1%
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