Spatiotemporal transcriptomic atlas of mouse placentation with cellular resolution The spatiotemporal transcriptome of mouse placentation was profiled using 13 whole uterine sections (including embryos) from C57BL/6J mice at different developmental stages (E7.5, E8.5, E9.5, E10.5, E12.5, and E14.5...
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,...
Utilizing Stereo-seq, we constructed a Mouse Placentation Spatiotemporal Transcriptomic Atlas (MPSTA) spanning from embryonic day (E) 7.5 to E14.5, which includes the transcriptomes of large trophoblast cells that were not captured in previous single-cell atlases. We defined four distinct strata of...
ResourceSpatiotemporal transcriptomic atlas of mouseorganogenesis using DNA nanoball-patterned arraysGraphical abstractHighlightsd Stereo-seq enables large f i eld-of-view spatialtranscriptomics at cellular resolutiond Stereo-seq reveals the spatial cell-type heterogeneity ofmouse embryonic tissuesd Stereo-seq...
et al. A transcriptomic atlas of mouse cerebellar cortex comprehensively defines cell types. Nature 598, 214–219 (2021). Article ADS CAS PubMed PubMed Central Google Scholar Kebschull, J. M. et al. Cerebellar nuclei evolved by repeatedly duplicating a conserved cell-type set. Science 370,...
corresponding to cell types, cell activities, or combinations thereof. This led to the deconvolution of the mouse brain and TME with far greater granularity than previously achieved for spatial data, distinguishing 71 cell types and anatomic structures, and 19 TME-related programs in this cohort. ...
fuses AI-guided imaging with ultra-sensitive mass spectrometry-based proteomics, enhancing cell phenotype identification [112,113]. Additionally, expansion proteomics (ProteomEx) enables high-resolution proteome profiling, recently identifying proteins in Alzheimer’s disease (AD)-afflicted mouse brains [...
[168] conducted tissue-level metabolomics of mouse livers using DESI-MSI, then they performed in situ SIMS analysis on certain region of interest to measure the metabolic profiles of individual liver-resident immune cells. Weighing up the pros and cons of these methods, the combined approach ...
of CC molecules in tumor progression and linked CC molecules to the immune profile of the TME using transcriptomic information in TCGA-CRC. The results revealed that CC has a significant impact on the TME. We identified leiomodin 1 (LMOD1)—a potential regulator of the CC phenotype with ...
Atlas of the aging mouse brain reveals white matter as vulnerable foci Aging is the key risk factor for cognitive decline, yet the molecular changes underlying brain aging remain poorly understood. Here, we conducted spatiotem... O Hahn,AG Foltz,Micaiah AtkinsBlen KedirPatricia Moran-Losadalan ...