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Data · dataset · 2025

Cell Painting from "Integrated spatial morpho-transcriptomics predicts functional traits in pancreatic cancer"

Listed in ScienceDB

Analyses of patient-derived cell lines have greatly enhanced discovery of molecular biomarkers and therapeutic targets.

Description

However, characterization of cellular morphological properties is limited. We studied cell morphologies of human pancreatic adenocarcinoma (PDAC) cell lines and their associations with drug sensitivity, gene expression, and functional properties.

By integrating live cell and spatial mRNA imaging, we identified KRAS inhibitor–induced morphological changes specific for drug-resistant cells that correlated with gene expression changes. We then categorized a large panel of patient-derived PDAC cell lines into morphological (e.g., polygonal, irregular, spheroid) and organizational (e.g., tightly aggregated, multilayered, dispersed) subtypes and found differences in gene expression, therapeutic targeting potential, and metastatic proclivity.

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In human PDAC tissues, we identified prognostic expression signatures associated with distinct cancer cell organization patterns. In summary, we highlight the potential of cell morphological information in rapid, cost-effective assays to aid precision oncology efforts leveraging patient-derived in vitro models and tissues.

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Cancer 75% · Cancer cell biology 76% · Imaging 75%
Provenance · 1 source records, 14 field assertions
SourceKeyLast seenRaw
ScienceDB10.57760/sciencedb.2570210 d agoJSON v1
FieldAssertionExtractorEvidence
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