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 ...

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 ...

A new software tool, ovrlpy, improves quality control in spatial transcriptomics, a key technology in biomedical research.

The global spatial biology market is projected to grow at a compound annual growth rate (CAGR) of approximately 15% over the ...

Researchers have developed two innovative tools to help us delve deeper into cell communication, offering spatial insight ...

A collaborative project has created a comprehensive guide to help standardize spatial transcriptomics practices. Spatial transcriptomics provides a unique perspective on the genes that cells express ...

The field of spatial transcriptomics utilizes technologies that map gene expression data to specific cellular locations within tissues. While traditional RNA sequencing methods generate quantitative ...

A new technique brings CRISPR-mediated gene editing together with spatial transcriptomics and imaging to study the ...

Breast cancer remains a leading cause of cancer-related deaths globally, with triple-negative breast cancer (TNBC) presenting particular therapeutic challenges due to its aggressive nature and limited ...

The market is fueled by the technology’s ability to map biomolecules and cellular interactions within tissues, enabling ...