Han-Eol Park

SUMMARY: Single-nucleus RNA sequencing (snRNA-seq) of clinical formalin-fixed, paraffin-embedded (FFPE) samples has long been a challenge due to low reverse transcription (RT) yields. Here, we present Fixative-eXchange (FX)-seq, a highly scalable snRNA-seq method for heavily paraformaldehyde (PFA)-fixed and/or FFPE samples. We employ an organocatalyst to facilitate the removal of PFA crosslinks to increase RT yield and additional regiospecific Pt(II)-based crosslinking of RNA molecules to prevent leakage. FX-seq reveals cellular heterogeneity across multiple fixed samples by analyzing 321,710 nuclei, including PFA-fixed tissue, FFPE blocks, thin FFPE and hematoxylin and eosin (H&E)-stained sections from mouse brain and human cancer specimens such as gastrointestinal stromal tumor and colorectal cancer. FX-seq enables integrated analysis with pathologist annotation to label tumor and non-tumor regions of H&E-stained sections. FX-seq can also be applied to PFA-perfusion-based animal studies, large human cohort studies, and personalized drug treatment through precision medicine.

To understand how the molecular machinery of synapses works, it is essential to determine an inventory of synaptic proteins at a subsynaptic resolution. Nevertheless, synaptic proteins are difficult to localize because of the low expression levels and limited access to immunostaining epitopes. Here, we report on the exTEM (epitope-exposed by expansion-transmission electron microscopy) method that enables the imaging of synaptic proteins in situ. This method combines TEM with nanoscale resolution and expandable tissue-hydrogel hybrids for enhanced immunolabeling with better epitope accessibility via molecular decrowding, allowing successful probing of the distribution of various synapse-organizing proteins. We propose that exTEM can be employed for studying the mechanisms underlying the regulation of synaptic architecture and function by providing nanoscale molecular distribution of synaptic proteins in situ. We also envision that exTEM is widely applicable for investigating protein nanostructures located in densely packed environments by immunostaining of commercially available antibodies at nanometer resolution.

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.