PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
April 5, 2026Cancer Research0 citations

Abstract 3425: Leveraging bioconvergence to enhance organ-on-a-chip technology and revolutionize drug discovery and development

View Full Paper
STShashi Kant TiwariSKStephan KriegFPFong Cheng Pan

Key Points

  • The research aims to advance organ-on-a-chip technology through the integration of human organoid biology and microfluidics for drug discovery.
  • Developed gut and liver organoids from induced pluripotent stem cells and patient-derived organoids.
  • Validated organoid identity and function with immunofluorescence, RT-qPCR, and functional assays like transepithelial electrical resistance.
  • Integrated organoid systems into a semiconductor-based microfluidic platform under sterile conditions.
  • Gut organoids exhibited defined epithelial architecture and transporters, demonstrating functionality.
  • Liver organoids showed key markers for hepatocytes and biliary cells, indicating metabolic competence.
  • The platform supports drug metabolism and pharmacokinetics, enhancing relevance for toxicology and disease modeling.

Abstract

Abstract Background: Bioconvergence combines materials science, microelectronics with organoid biology to revolutionize organ-on-a-chip (OOC) technology, facilitating effective translational drug discovery. Our initiative aims to develop new generation of in vitro platforms by integrating human 3D cell cultures with a semiconductor-based, sensor-integrated microfluidic silicon chip, enabling the simulation of interconnected multi-organ physiology. Methods: We developed human gut and liver organoids from induced pluripotent stem cells (iPSCs) and patient-derived organoid (PDO). The organoids were validated for lineage identity and functionality through immunofluorescence for key markers, RT-qPCR for gene panels, and functional assays such as transepithelial electrical resistance (TEER) and enzyme activity. This validated biology was integrated by connecting it to fluidic and electrical interfaces in sterile conditions. Results: Duodenal PDO-derived gut organoids exhibited well-defined epithelial architecture and barrier integrity, along with the expression of essential transporters (BCRP) and metabolic enzymes (CYP3A4, UGT1A1). They also displayed lineage markers, including brush border (Villin), goblet (MUC2), Paneth (LYZ), and enteroendocrine (CHGA) cells. iPSC-derived mature liver organoids expressed markers for hepatocytes and cholangiocytes, including albumin, Sox9, CK7, and CK19, demonstrating Phase I/II metabolic competence and relevant drug transporters (CYP3A4, GST, MDR1/P-gp, MRP2). These organoid systems establish a solid foundation for exploring the viability and functionality of the platform. Conclusions: Integrating validated human organoid biology with scalable semiconductor microfluidics creates a microphysiological platform that significantly enhances translational relevance for toxicology, drug metabolism and pharmacokinetics (DMPK), and disease modeling. It supports the development of safer, more effective therapies while minimizing reliance on animal studies. Citation Format: Shashi K. Tiwari, Stephan Krieg, Fong Cheng Pan, David Austin, Kevin Su, Luisa Marie Pfeifer, Mathab Asadian, Xiaoping Song, Laura Chacon Orellana, Rashmi Ramesh, Alessandra Venz, Bastien Duckert, Mara Lucchetti, Joseph Lento, Sophie Roth, Olivier Henry, Dries Braeken, Laura Braeuninger-Weimer, Philip Hewitt, Steven Johnston, Vi Chu. Leveraging bioconvergence to enhance organ-on-a-chip technology and revolutionize drug discovery and development abstract. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 3425.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Tiwari et al. (2026) studied this question.

synapsesocial.com/papers/69d1fd73a79560c99a0a37fehttps://doi.org/10.1158/1538-7445.am2026-3425
Ask AI
Helpful
Bookmark
Share
View Full Paper