Proteomics

Dataset Information

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Deep Visual Proteomics advances human colon organoid models by revealing a switch to an in vivo-like phenotype upon xenotransplantation


ABSTRACT: Intestinal epithelial damage predisposes to chronic disorders like inflammatory bowel disease. The organoid model allows the cultivation, expansion and analysis of primary intestinal epithelial cells and has been instrumental in studying epithelial behavior in homeostasis and disease. Recent advances in organoid transplantation lay the base for studies of human epithelial cell behavior within the intestinal tissue context. It remained unclear how organoid transplantation into the colon affects epithelial phenotypes, which is key to assessing the model’s suitability to study human epithelial cells. We employed Deep Visual Proteomics, integrating AI-guided cell classification, laser microdissection, and an improved proteomics pipeline to study the human colon mucosa. Thereby, we created the first cell type-resolved proteomics dataset of human intestinal epithelial cells within human tissue, in vitro organoids, and the murine colon post-xenotransplantation. Our findings reveal that in vitro conditions induce a proliferative organoid phenotype, which is reversible upon transplantation and adjustment of organoid culturing conditions.

INSTRUMENT(S):

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Epithelial Cell, Colon

SUBMITTER: Mario Oroshi  

LAB HEAD: Matthias Mann

PROVIDER: PXD052341 | Pride | 2025-09-11

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
DVP_data.pg_matrix.tsv Tabular
DVP_data.pr_matrix.tsv Tabular
Post_et_al_organoid_DVP_metadata.tsv Tabular
bulk_data.pg_matrix.tsv Tabular
bulk_data.pr_matrix.tsv Tabular
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