Single-cell RNA transcriptomics allows researchers to broadly profile the gene expression of individual cells in a particular tissue. This technique has allowed researchers to identify new subsets of ...

Advances in next-generation sequencing (NGS) technologies have lowered costs and reduced the complexity of DNA and RNA sequencing, enabling new possibilities when studying gene activity. In ...

Exploring the differentiation of iPSC to trunk tenocytes and how the single-cell RNA sequencing and pathway analysis can assist in making it more specific.

A comprehensive review article titled “Bioinformatics perspectives on transcriptomics: A comprehensive review of bulk and single-cell RNA sequencing analyses,” published in Quantitative Biology, ...

Kelly Parliament, staff application scientist at Beckman Coulter Life Sciences, discusses how automation is improving the efficiency of single-cell transcriptomic workflows. Single-cell ...

A novel spatial transcriptomics atlas developed by Northwestern Medicine scientists may improve the understanding of niche ...

Biological systems are inherently three-dimensional—tissues form intricate layers, networks, and architectures where cells interact in ways that extend far beyond a flat plane. To capture the true ...

Spatial transcriptomics is revolutionizing the study of tissue architecture, cellular states, and tumor-immune interactions in clinical specimens. This presentation introduces the principles and ...

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 ...