Publications by authors named "Deniliz Rodriguez"
Article Synopsis
- - The discovery of biomarkers for drug development is constrained by limited tissue samples from core needle biopsies, which can hinder the analysis of tissue heterogeneity and cell interactions due to standard 'omics platforms consuming large amounts of tissue.
- - Current spatial transcriptomics technologies have low throughput and limited transcriptome coverage, while the Digital Spatial Profiling (DSP) method allows for scalable analysis of the entire transcriptome and high-plex protein analysis from a single tissue slide.
- - The DSP Scientific Consortium has established best practices to enhance the use of spatial biology tools in drug discovery, aiming to optimize tissue analysis across various research fields to better understand disease biology and discover potential therapeutic targets.
Background & Aims: Enteroendocrine cells, the largest and most diverse population of mammalian endocrine cells, comprise a number of different cell types in the gut mucosa that produce, store, and secrete small molecules, peptides, and/or larger proteins that regulate many aspects of gut physiology. Little is known about less typical endocrine cells in the intestinal mucosa that do not contain secretory granules, such as brush or caveolated cells. We studied a subset of these enteroendocrine cells in duodenum that produce several peptides, including endogenous opioids, and that also express the Trpm5 cation channel.
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