Mouse models are a critical tool for studying human diseases, particularly developmental disorders. However, conventional approaches for phenotyping may fail to detect subtle defects throughout the developing mouse. Here we set out to establish single-cell RNA sequencing of the whole embryo as a scalable platform for the systematic phenotyping of mouse genetic models. We applied combinatorial indexing-based single-cell RNA sequencing to profile 101 embryos of 22 mutant and 4 wild-type genotypes at embryonic day 13.5, altogether profiling more than 1.6 million nuclei. The 22 mutants represent a range of anticipated phenotypic severities, from established multisystem disorders to deletions of individual regulatory regions. We developed and applied several analytical frameworks for detecting differences in composition and/or gene expression across 52 cell types or trajectories. Some mutants exhibit changes in dozens of trajectories whereas others exhibit changes in only a few cell types. We also identify differences between widely used wild-type strains, compare phenotyping of gain- versus loss-of-function mutants and characterize deletions of topological associating domain boundaries. Notably, some changes are shared among mutants, suggesting that developmental pleiotropy might be 'decomposable' through further scaling of this approach. Overall, our findings show how single-cell profiling of whole embryos can enable the systematic molecular and cellular phenotypic characterization of mouse mutants with unprecedented breadth and resolution.
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http://dx.doi.org/10.1038/s41586-023-06548-w | DOI Listing |
Proc Natl Acad Sci U S A
January 2025
Computational Radiology Laboratory, Boston Children's Hospital, Boston, MA 02115.
This study presents the construction of a comprehensive spatiotemporal atlas of white matter tracts in the fetal brain for every gestational week between 23 and 36 wk using diffusion MRI (dMRI). Our research leverages data collected from fetal MRI scans, capturing the dynamic changes in the brain's architecture and microstructure during this critical period. The atlas includes 60 distinct white matter tracts, including commissural, projection, and association fibers.
View Article and Find Full Text PDFPLoS One
January 2025
Graduate School of Humanities and Social Sciences, Kyoto University of Advanced Science, Kyoto, Japan.
The joint Simon effect refers to inhibitory responses to spatially competing stimuli during a complementary task. This effect has been considered to be influenced by the social factors of a partner: sharing stimulus-action representation. According to this account, virtual interactions through their avatars would produce the joint Simon effect even when the partner did not physically exist in the same space because the avatars are intentional agents.
View Article and Find Full Text PDFMedicine (Baltimore)
January 2025
Epilepsy Center, Children's Hospital Affiliated to Shandong University, Jinan, China.
Rationale: Developmental and epileptic encephalopathy (DEE) defines a group of severe and heterogeneous neurodevelopmental disorders. The voltage-gated potassium channel subfamily 2 voltage-gated potassium channel α subunit encoded by the KCNB1 gene is essential for neuronal excitability. Previous studies have shown that KCNB1 variants can cause DEE.
View Article and Find Full Text PDFSci Adv
January 2025
Department of Medical Genetics, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China.
Protein translation is crucial for fear extinction, a process vital for adaptive behavior and mental health, yet the underlying cell-specific mechanisms remain elusive. Using a Tet-On 3G genetic approach, we achieved precise temporal control over protein translation in the infralimbic medial prefrontal cortex () during fear extinction. In addition, our results reveal that the disruption of cytoplasmic polyadenylation element binding protein 1 (Cpeb1) leads to notable alterations in cell type-specific translational programs, thereby affecting fear extinction.
View Article and Find Full Text PDFProc Natl Acad Sci U S A
January 2025
Department of Chemical Engineering, Stanford University, Stanford, CA 94305.
DNA methylation is a crucial epigenetic modification that orchestrates chromatin remodelers that suppress transcription, and aberrations in DNA methylation result in a variety of conditions such as cancers and developmental disorders. While it is understood that methylation occurs at CpG-rich DNA regions, it is less understood how distinct methylation profiles are established within various cell types. In this work, we develop a molecular-transport model that depicts the genomic exploration of DNA methyltransferase within a multiscale DNA environment, incorporating biologically relevant factors like methylation rate and CpG density to predict how patterns are established.
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