Bottom-Up Programming of Cell States in Cancer Organoids with Defined Synthetic Adhesion Cues

Publikation: Beitrag in Fachzeitschrift › Forschungsartikel › Beigetragen › Begutachtung

Beitragende

Abstract

Despite advances in defined culture systems, current organoid models lack programmable control of transcriptomic states beyond fixed genetic constraints or broadly specific microenvironmental conditions. Here, a bottom-up biomaterial-based platform is introduced to program cell state changes in pancreatic cancer organoids by tuning minimal adhesion cues within a synthetic matrix. A Design of Experiments framework is used to systematically model the patient-specific transcriptome-wide impact of matrix-presented adhesion cues. Focusing on epithelial-mesenchymal transition (EMT) as a proof-of-concept cellular program, a multiobjective optimization approach is applied to identify patient-specific matrix compositions that enrich EMT-associated transcriptional programs. Organoids cultured in these optimized matrices exhibit transcriptomic signatures consistent with EMT enrichment and coordinated shift in EMT-associated regulatory signatures. Secretome profiling further reveals changes in cytokines previously linked to EMT-associated inflammatory, hypoxia, and TGF-β signaling. Together, these findings demonstrate that quantitative and targeted modulation of defined adhesion cues enables programmable control of transcriptomic states in pancreatic cancer organoids.

Details

OriginalspracheEnglisch
Aufsatznummere17390
FachzeitschriftAdvanced materials
Jahrgang38
Ausgabenummer27
PublikationsstatusVeröffentlicht - 14 Mai 2026
Peer-Review-StatusJa

Externe IDs

PubMed 41978536
ORCID /0000-0003-0189-3448/work/223381844
ORCID /0000-0003-4246-2230/work/223386863
ORCID /0000-0001-9389-4688/work/223386939

Schlagworte

ASJC Scopus Sachgebiete

  • Allgemeine Materialwissenschaften - computational biomaterials design, organoid microenvironment engineering, patient-derived cancer organoids, synthetic extracellular matrix, transcriptomic state programming
  • Werkstoffmechanik - computational biomaterials design, organoid microenvironment engineering, patient-derived cancer organoids, synthetic extracellular matrix, transcriptomic state programming
  • Maschinenbau - computational biomaterials design, organoid microenvironment engineering, patient-derived cancer organoids, synthetic extracellular matrix, transcriptomic state programming

Schlagwörter

  • computational biomaterials design, organoid microenvironment engineering, patient-derived cancer organoids, synthetic extracellular matrix, transcriptomic state programming