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 …

In this Perspective, we discuss the current status and advances in spatial transcriptomics
technologies, which allow high-resolution mapping of gene expression in intact cell and …

Abstract Analysis of gene expression data is crucial for disease prognosis and diagnosis.
Gene expression data has high redundancy and noise that brings challenges in extracting …

Cells collectively determine biological functions by communicating with each other—both
through direct physical contact and secreted factors. Consequently, the local …

Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease that mainly affects the
motor system. It is a very heterogeneous disorder, so far more than 40 genes have been …

In recent years anatomical pathology has been revolutionised by the incorporation of
molecular findings into routine diagnostic practice, and in some diseases the presence of …

Abstract Purpose of Review The integration of data from multiple genomic assays from
humans and non-human model organisms is an effective approach to identify genes …

Over the past 15 years, single-cell RNA sequencing (scRNA-seq) technology, in
combination with other omics, has revealed the mechanisms of human development …

Recent technologies such as spatial transcriptomics, enable the measurement of gene
expressions at the single-cell level along with the spatial locations of these cells in the …

Regenerative medicine and tissue engineering aim to promote functional rebuilding of
damaged tissue. Comprehensively profiling cell identity, function and interaction in healthy …