Proteome Mapping of the Human Pancreatic Islet Microenvironment Reveals Endocrine–Exocrine Signaling Sphere of Influence
Year: 2023
Type: article
Abstract: The need for a clinically accessible method with the ability to match protein activity within heterogeneous tissues is currently unmet by existing technologies. Our proteomics sample preparation platform, named microPOTS (Microdroplet Processing in One pot for Trace Samples), can be used to measure relative protein abundance in micron-scale samples alongside the spatial location of each measurement, thereby tying biologically interesting proteins and pathways to distinct regions. However, given the smaller pixel/voxel number and amount of tissue measured, standard mass spectrometric analysis pipelines have proven inadequate. Here we describe how existing computational approaches can be adapted to focus on the specific biological questions asked in spatial proteomics experiments. We apply this approach to present an unbiased characterization of the human islet microenvironment comprising the entire complex array of cell types involved while maintaining spatial information and the degree of the islet's sphere of influence. We identify specific functional activity unique to the pancreatic islet cells and demonstrate how far their signature can be detected in the adjacent tissue. Our results show that we can distinguish pancreatic islet cells from the neighboring exocrine tissue environment, recapitulate known biological functions of islet cells, and identify a spatial gradient in the expression of RNA processing proteins within the islet microenvironment.
Source: Molecular & Cellular Proteomics
Language: English
Subfield: Spectroscopy
Field: Chemistry
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $2,800
Funders: U.S. Department of Energy, Battelle, National Institutes of Health, National Cancer Institute, National Institute of Allergy and Infectious Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, Biological and Environmental Research, Pacific Northwest National Laboratory
Awards: G1242655424, G1756126698, Understanding pancreatic endocrine and exocrine loss in pre-type 1 diabetes, G2988778103, G359586391, Novel Platform for Quantitative Subcellular Resolution Imaging of Human Tissues Using Mass Spectrometry, G538270251, Multi-omic 3D tissue maps for a Human BioMolecular Atlas, G5726405315, G84288863, Immune Function and the Progression to Type 1 Diabetes
OpenAlex ID: W4380727952
