Profiling the heterogeneity of colorectal cancer consensus molecular subtypes using spatial transcriptomics.

The consensus molecular subtypes (CMS) of colorectal cancer (CRC) is the most widely-used gene expression-based classification and has contributed to a better understanding of disease heterogeneity and prognosis. Nevertheless, CMS intratumoral heterogeneity restricts its clinical application, stressing the necessity of further characterizing the composition and architecture of CRC. Here, we used Spatial Transcriptomics (ST) in combination with single-cell RNA sequencing (scRNA-seq) to decipher the spatially resolved cellular and molecular composition of CRC.

Gamma secretase modulators and BACE inhibitors reduce Aβ production without altering gene expression in Alzheimer's disease iPSC-derived neurons and mice.

In drug discovery, as well as in the study of disease biology, it is fundamental to develop models that recapitulate aspects of a disorder, in order to understand the pathology and test therapeutic approaches. Patient-derived induced pluripotent stem cells (iPSCs) offer the potential of obtaining tissue-specific cells with a given human genotype. Here we derived neural cultures from Alzheimer's disease patient iPSCs and characterized their response to three classes of compounds that reduce the production of Aβ42, a major driving force of this pathology.

Transcriptional profiling of human brain endothelial cells reveals key properties crucial for predictive in vitro blood-brain barrier models.

Brain microvascular endothelial cells (BEC) constitute the blood-brain barrier (BBB) which forms a dynamic interface between the blood and the central nervous system (CNS). This highly specialized interface restricts paracellular diffusion of fluids and solutes including chemicals, toxins and drugs from entering the brain. In this study we compared the transcriptome profiles of the human immortalized brain endothelial cell line hCMEC/D3 and human primary BEC.