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In-depth analysis of self-assembly processes in in vitro spheroidal and organoid systems mechanisms and drug development

  • Shreyas Hulusemane Karunakara
  • , O. C. Shuchi
  • , S. Samanmitha
  • , Nirmala Gollarahalli Sannappa Gowda
  • , Varsha Dilip Shiragannavar
  • , Shama Prasada Kabekkodu
  • , Prasanna Kumar Santhekadur*
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Two-dimensional (2D) cell culturing systems have been an indispensable tool for understanding the biology of cells. Conventional 2D culture models are not only suitable to study the effect of mutagens, carcinogens, and xenobiotics but also are suitable pre-clinical models that can be employed to understand drug metabolism. However, this plausibility of 2D monolayer cultures has recently been in the limelight and has been questioned on the grounds of its ability to mimic the complexities at the tissue or organ level where multiple cell types express spatiotemporally. Other concerns like multiplexity, reproducibility, and ethical concerns associated with more complex preclinical animal models make three-dimensional cellular models (3D), like spheroids and organoids, suitable for understanding the disease biology of conditions like cancer, and neurological and cognitive disorders. The current chapter provides the readers with comprehensive details of various available methods of generating 3D-invitro models, analyses and characterization of such established model systems, and their applications in drug development.

Original languageEnglish
Title of host publicationPreclinical cancer models for translational research and drug development
PublisherSpringer Nature
Pages79-108
Number of pages30
ISBN (Electronic)9789819757428
ISBN (Print)9789819757411
DOIs
Publication statusPublished - 13-03-2025

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

All Science Journal Classification (ASJC) codes

  • General Medicine

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