Integrating single-cell imaging and RNA sequencing datasets links differentiation and morphogenetic dynamics of human pancreatic endocrine progenitors

Research output: Contribution to journalResearch articleContributedpeer-review

Contributors

  • Belin Selcen Beydag-Tasöz - , Novo Nordisk Foundation, Max Planck Institute of Molecular Cell Biology and Genetics (Author)
  • Joyson Verner D'Costa - , Max Planck Institute of Molecular Cell Biology and Genetics (Author)
  • Lena Hersemann - , Max Planck Institute of Molecular Cell Biology and Genetics (Author)
  • Byung Ho Lee - , Max Planck Institute of Molecular Cell Biology and Genetics (Author)
  • Federica Luppino - , Max Planck Institute of Molecular Cell Biology and Genetics, Center for Systems Biology Dresden (CSBD) (Author)
  • Yung Hae Kim - , Novo Nordisk Foundation, Max Planck Institute of Molecular Cell Biology and Genetics (Author)
  • Christoph Zechner - , Max Planck Institute of Molecular Cell Biology and Genetics, Center for Systems Biology Dresden (CSBD), TUD Dresden University of Technology, Clusters of Excellence PoL: Physics of Life (Author)
  • Anne Grapin-Botton - , Novo Nordisk Foundation, Max Planck Institute of Molecular Cell Biology and Genetics, Center for Systems Biology Dresden (CSBD), TUD Dresden University of Technology, Medical Faculty Carl Gustav Carus (Author)

Abstract

Basic helix-loop-helix genes, particularly proneural genes, are well-described triggers of cell differentiation, yet information on their dynamics is limited, notably in human development. Here, we focus on Neurogenin 3 (NEUROG3), which is crucial for pancreatic endocrine lineage initiation. By monitoring both NEUROG3 gene expression and protein in single cells using a knockin dual reporter in 2D and 3D models of human pancreas development, we show an approximately 2-fold slower expression of human NEUROG3 than that of the mouse. We observe heterogeneous peak levels of NEUROG3 expression and reveal through long-term live imaging that both low and high NEUROG3 peak levels can trigger differentiation into hormone-expressing cells. Based on fluorescence intensity, we statistically integrate single-cell transcriptome with dynamic behaviors of live cells and propose a data-mapping methodology applicable to other contexts. Using this methodology, we identify a role for KLK12 in motility at the onset of NEUROG3 expression.

Details

Original languageEnglish
Pages (from-to)2292-2308.e6
JournalDevelopmental cell
Volume58
Issue number21
Publication statusPublished - 6 Nov 2023
Peer-reviewedYes

External IDs

PubMed 37591246

Keywords

Sustainable Development Goals

Keywords

  • diabetes, endocrine, human development, in vitro differentiation, live imaging, Neurogenin 3, pancreas, pancreatic progenitors, single-cell RNA sequencing, stem cells