Combined assembloid modeling and 3D whole-organ mapping captures the microanatomy and function of the human fallopian tube

Ashleigh J. Crawford, André Forjaz, Joanna Bons, Isha Bhorkar, Triya Roy, David Schell, Vasco Queiroga, Kehan Ren, Donald Kramer, Wilson Huang, Gabriella C. Russo, Meng Horng Lee, Pei Hsun Wu, Ie Ming Shih, Tian Li Wang, Mark A. Atkinson, Birgit Schilling, Ashley L. Kiemen, Denis Wirtz*

*Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

4 Scopus citations

Abstract

The fallopian tubes play key roles in processes from pregnancy to ovarian cancer where three-dimensional (3D) cellular and extracellular interactions are important to their pathophysiology. Here, we develop a 3D multicompartment assembloid model of the fallopian tube that molecularly, functionally, and architecturally resembles the organ. Global label-free proteomics, innovative assays capturing physiological functions of the fallopian tube (i.e., oocyte transport), and whole-organ single-cell resolution mapping are used to validate these assembloids through a multifaceted platform with direct comparisons to fallopian tube tissue. These techniques converge at a unique combination of assembloid parameters with the highest similarity to the reference fallopian tube. This work establishes (i) an optimized model of the human fallopian tubes for in vitro studies of their pathophysiology and (ii) an iterative platform for customized 3D in vitro models of human organs that are molecularly, functionally, and microanatomically accurate by combining tunable assembloid and tissue mapping methods.

Original languageEnglish
Article numbereadp6285
Pages (from-to)eadp6285
JournalScience Advances
Volume10
Issue number39
DOIs
StatePublished - 27 09 2024

Bibliographical note

Publisher Copyright:
© 2024 the Authors, some rights reserved.

Keywords

  • Humans
  • Female
  • Fallopian Tubes/anatomy & histology
  • Imaging, Three-Dimensional/methods
  • Proteomics/methods
  • Models, Biological
  • Single-Cell Analysis/methods

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