Spatial multi-omic studies have emerged as a promising approach to comprehensively
analyze cells in tissues, enabling the joint analysis of multiple data modalities like …

Gene expression profiling of tissue cells with spatial context is in high demand to reveal cell
types, locations, and intercellular or molecular interactions for physiological and …

To facilitate the transition of triboelectric nanogenerators (TENG) from early stages to large-
scale real-world applications, urgent mass production is imperative, necessitating …

Single-cell multiplexing techniques (cell hashing and genetic multiplexing) combine multiple
samples, optimizing sample processing and reducing costs. Cell hashing conjugates …

Emerging imaging spatial transcriptomics (iST) platforms and coupled analytical methods
can recover cell-to-cell interactions, groups of spatially covarying genes, and gene …

Single-cell sequencing (scRNA-seq) has revolutionized our ability to explore heterogeneity
and genetic variations at the single-cell level, opening up new avenues for understanding …

Advances in single-cell technologies have transformed the ability to identify the individual
cell types present within tissues and organs. The musculoskeletal bionetwork, part of the …

Interactions between host and bacterial cells are integral to human physiology. The
complexity of host–microbe interactions extends to different cell types, spatial aspects, and …

Immune checkpoint blockade (ICB) therapy offers promise in the treatment of triple-negative
breast cancer (TNBC); however, its limited efficacy in certain TNBC patients poses a …

Recent advancements in single‐cell technologies have led to rapid developments in the
construction of cell atlases. These atlases have the potential to provide detailed information …