Spatial transcriptomics is a newly emerging field that enables high‐throughput investigation of the spatial localization of transcripts and related analyses in various applications for biological systems. By transitioning from conventional biological studies to “in situ” biology, spatial transcriptomics can provide transcriptome‐scale spatial information. Currently, the ability to simultaneously characterize gene expression profiles of cells and relevant cellular environment is a paradigm shift for biological studies. In this review, recent progress in spatial transcriptomics and its applications in neuroscience and cancer studies are highlighted. Technical aspects of existing technologies and future directions of new developments (as of March 2023), computational analysis of spatial transcriptome data, application notes in neuroscience and cancer studies, and discussions regarding future directions of spatial multi‐omics and their expanding roles in biomedical applications are emphasized.

Mutations in specific genes, including synuclein alpha ( SNCA ) that encodes the α-synuclein protein, are known to be risk factors for sporadic Parkinson's disease (PD), as well as critical factors for familial PD. In particular, A53T-mutated SNCA (A53T-SNCA) is a well-studied familial pathologic mutation in PD. However, techniques for deletion of the mutated SNCA gene in vivo have not been developed. Here, we used the CRISPR-Cas9 system to delete A53T-SNCA in vitro as well as in vivo . Adeno-associated virus carrying SaCas9-KKH with a single-guide RNA targeting A53T-SNCA significantly reduced A53T-SNCA expression levels in vitro . Furthermore, we tested its therapeutic potential in vivo in a viral A53T-SNCA-overexpressing rat model of PD. Gene deletion of A53T-SNCA significantly rescued the overexpression of α-synuclein, reactive microgliosis, dopaminergic neurodegeneration, and parkinsonian motor symptoms. Our findings propose CRISPR-Cas9 system as a potential prevention strategy for A53T-SNCA-specific PD.

CRISPR effectors, which comprise a CRISPR-Cas protein and a guide (g)RNA derived from the bacterial immune system, are widely used for target-specific genome editing. When the gRNA recognizes genomic loci with sequences that are similar to the target, deleterious mutations can occur. Off-target mutations with a frequency below 0.5% remain mostly undetected by current genome-wide off-target detection techniques. Here we report a method to effectively detect extremely small amounts of mutated DNA based on predicted off-target-specific amplification. In this study, we used various genome editors to induce intracellular genome mutations, and the CRISPR amplification method detected off-target mutations at a significantly higher rate (1.6~984 fold increase) than an existing targeted amplicon sequencing method. In the near future, CRISPR amplification in combination with genome-wide off-target detection methods will allow detection of genome editor-induced off-target mutations with high sensitivity and in a non-biased manner.