Thus, we put effort to compile a simple atlas of spatial transcriptomics, which could serve as a guidance of spatial transcriptomic technologies, data resources and analysis approaches for researchers.

Jun 27, 2022 · Single-cell transcriptomics (scRNA-seq) has become essential for biomedical research over the past decade, particularly in developmental biology, cancer, immunology, and neuroscience. …

Download scientific diagram | Imaging-based spatial transcriptomics with STARmap. A) Schematic showing how solid tissues are transformed into cleared DNA-hydrogel structures and dual probe …

A) Schematic of how Slide‐seq extracts and reverse transcribes (RT) mRNA transcripts from freshly frozen tissue sections while retaining their spatial context.

Download scientific diagram | Schematic diagram of the workflow of spatial transcriptomics, proteomics, and metabolic profiling. (A) Next-generation sequencing-based platforms and spatial ...

Jan 1, 2023 · Finally, we provide a detailed discussion and outlook of the spatial transcriptomic technologies, data resources and analysis approaches to guide current and future research on …

Aug 5, 2024 · Schematic view of the STdGCN framework. STdGCN is a cell-type deconvolution method designed for spatial transcriptomics data, using scRNA-seq data as the reference. The workflow of …

Apr 23, 2025 · Sans, M. et al. Spatial transcriptomics of intraductal papillary mucinous neoplasms of the pancreas identifies NKX6-2 as a driver of gastric differentiation and indolent biological potential.

A schematic workflow of single-cell RNA sequencing and spatial transcriptomics. For scRNA-seq, individual cells are isolated through enzymatic digestion from intact tissue to generate protoplasts.

Jul 24, 2025 · Fig. 4. Spatial transcriptomics of metastatic 4T1 lung tumors. (A) Experimental schematic for generating MERFISH data from lung tumors after tail vein injection of 4T1 cells engineered with …