The respiratory system's complex cellular heterogeneity presents unique challenges to
researchers in this field. Although bulk RNA sequencing and single-cell RNA sequencing …

Spatial transcriptomics (ST) is a newly emerging field that integrates high-resolution imaging
and transcriptomic data to enable the high-throughput analysis of the spatial localization of …

Spatially resolved transcriptomics has been dramatically transforming biological and
medical research in various fields. It enables transcriptome profiling at single‐cell, multi …

Microglia play a crucial role in interacting with neuronal synapses and modulating synaptic
plasticity. This function is particularly significant during postnatal development, as microglia …

Spatial transcriptomics is revolutionizing modern biology, offering researchers an
unprecedented ability to unravel intricate gene expression patterns within tissues. From …

The brain is constituted of heterogeneous types of neuronal and non-neuronal cells, which
are organized into distinct anatomical regions, and show precise regulation of gene …

Recent advancements in modern science have provided robust tools for drug discovery. The
rapid development of transcriptome sequencing technologies has given rise to single-cell …

Background Cell clustering is a pivotal aspect of spatial transcriptomics (ST) data analysis
as it forms the foundation for subsequent data mining. Recent advances in spatial domain …

Spatial transcriptomic (ST) techniques help us understand the gene expression levels in
specific parts of tissues and organs, providing insights into their biological functions. Even …

Technologies allowing in situ tissue molecular analysis of the “high-plex” type (> 20
molecules per tissue section) are the 21 st century inventions that are revolutionizing our …