A wave of spatial transcriptomics studies has produced gene-expression atlases that span entire organs and whole organisms, ...

Spatial transcriptomics and gene expression analysis represent a transformative approach in biomedical research, integrating the spatial context of tissues with high-resolution profiling of gene ...

Spatial transcriptomics is a cutting-edge technique that characterizes gene expression within sections of tissue, such as heart, skin or liver tissue. These snapshots provide insights into how spatial ...

Researchers have developed 'tomoseqr' -- a new software tool that enables easy estimation of the three-dimensional (3D) spatial distribution of gene expression. Tomoseqr is free to use and has been ...

New spatial transcriptomics approach combined with machine learning maps gene expression across whole mouse body sections, ...

Challenges and Prospects. Challenges and prospects faced by spatial transcriptomics itself and its application to the musculoskeletal system. AI Artificial intelligence, FFPE Formalin fixed and ...

Tumors contain many different types of cells organized in complex spatial patterns that can influence how the disease progresses. Because of this, it is hard to predict how a tumor will develop and ...

A new framework outlines using spatial omics and AI to map wheat at cellular resolution. The effort aims to uncover how genes ...

Despite progress in cancer biology, deciphering the spatial architecture of the tumor microenvironment remains a challenge. Traditional approaches lack the resolution to map cell-type-specific gene ...

Different variants of a gene, known as isoforms, can be transcribed and translated at varying levels within a cell or tissue. These isoforms are commonly a result of alternative splicing, which ...

Co-first author Jiyuan Yang, PhD, St. Jude Department of Computational Biology and co-senior and corresponding author Jiyang Yu, PhD, St. Jude Department of Computational Biology interim chair look at ...