Summary:
Non-human primates provide a unique way to study the only model in which both developmental and pathological features of the brain in a species phylogenetically close to human. In the past decade, breakthrough advances in single-cell sequencing have enabled the mapping of cell taxonomy and heterogeneity in the developing and adult brain of different mammalian species. Here, we generated single-cell chromatin accessibility (single-cell ATAC) and transcriptomic data of 358,237 cells from three cortical region

Summary:
Although melanoma is notorious for its high degree of heterogeneity and plasticity, the origin and magnitude of cell state diversity remains poorly understood. Equally, it is not known whether melanoma growth and metastatic dissemination are supported by overlapping or distinct melanoma subpopulations. By combining mouse genetics, unbiased lineage tracing and quantitative modelling, single-cell and spatial transcriptomics, we provide evidence of a hierarchical model of tumour growth that mirrors the cellula

Summary:
Here we apply Stereo-seq to generate a spatially-resolved transcriptomic description of the postnatal day 7 (P7) murine whole brain sagittal section near the middle line. Our study comprehensively dissected the anatomical regions, gene expression and gene regulatory network patterns and cell type localization at whole brain scale.

Summary:
Our results reveal the pituitary cell composition and spatial-temporal molecular features of mesenchymal, epithelial and stem cells, and hormonal cells. Analysis of pseudotime trajectory and transcription factor activity unveil the critical regulatory networks for cell fate determination and functions, including Axon guidance and Hippo pathways. The importance of endoplasmic reticulum stress and unfolded protein response in the regulation of oxidative stress, and enrichment of potent antioxidants in pituita

Summary:
We present the first in situ single-cell transcriptome profiling in plant, scStereo-seq (single-cell SpaTial Enhanced REsolution Omics-sequencing), which enabled the bona fide single-cell spatial transcriptome of Arabidopsis leaves.

Summary:
Revealing the relationships between the tissue structures and transcriptomic information is significant for understanding the mechanisms and principles underpinning the biological processes in lung development and diseases. The widely transcriptomic technics, including bulk and single-cell RNA sequencing, cannot accurately restore the tissue location of the gene expression. The advanced spatial transcriptomic tools can fill this gap properly with in-situ RNA capturing and spatial barcode labeling and transl

Summary:
To understand the etiological, structural, and immunological characteristics of cervical squamous cell carcinoma (CSCC), we conducted spatial transcriptomics (ST) experiments for cervical samples from 16 individuals.

Summary:
This database is intended to curate 3D spatial transcriptomes of all stages of Drosophila embryos and larvae generated by Stereo-seq. Drosophila melanogaster strain w1118 embryos were collected at two late stages (14-16 h and 16-18 h after egg laying, corresponding to stage 16~17 of embryogenesis) and all three stages were also collected. These samples were subject to cryosection to generate 7~10 μm thick slices. All slices of each sample were applied to Stereo-seq chips to capture their 2D spatial transcri

Summary:
We have only begun to scratch the surface in understanding mammalian development. An overwhelming caveat is the lack of topographical transcriptomic information to correlate signaling cues and cell-cell interactions within the hierarchy of cell fate decisions. Spatially resolved transcriptomic technologies are promising tools to fill this gap. However, the small field of view and imbalance between resolution and transcript capture of current methodologies precludes their systematic application to study rela

Summary:
Vertebrate embryogenesis is a remarkably dynamic process during which numerous cell types of different lineages generate, change, or disappear within a short period. A major challenge in understanding this process is the lack of topographical transcriptomic information that can help correlate microenvironmental cues within the hierarchy of cell fate decisions. Here, we employed Stereo-seq, a high-definition spatially resolved transcriptomic technology, to dissect the spatiotemporal dynamics of gene expressi