open access publication

Preprint, 2024

Co-Transplantation-Based Human-Mouse Chimeric Brain Models to Study Human Glial-Glial and Glial-Neuronal Interactions

bioRxiv, Volume 5, 07-12, Page 2024.07.03.601990, 10.1101/2024.07.03.601990

Contributors

Jin, Meng-Meng 0000-0002-2749-8000 [1] Ma, Ziyuan 0000-0002-1512-8993 [1] Zhang, Haiwei [1] Papetti, Ava V. [1] Dang, Rui [1] Stillitano, Alessandro C 0000-0003-3072-3667 [1] Goldman, Steven Alan 0000-0002-5498-4303 [2] [3] Jiang, Peng 0000-0002-2650-3082 (Corresponding author) [1]

Affiliations

  1. [1] Rutgers, The State University of New Jersey
  2. [NORA names: United States; America, North; OECD];
  3. [2] University of Copenhagen
  4. [NORA names: KU University of Copenhagen; University; Denmark; Europe, EU; Nordic; OECD];
  5. [3] University of Rochester Medical Center
  6. [NORA names: United States; America, North; OECD]

Abstract

Human-mouse chimeric brain models, generated by transplanting human induced pluripotent stem cell (hiPSC)-derived neural cells, are valuable for studying the development and function of human neural cells in vivo. Understanding glial-glial and glial-neuronal interactions is essential for unraveling the complexities of brain function and developing treatments for neurological disorders. To explore these interactions between human neural cells within an intact brain environment, we employe a co-transplantation strategy involving the engraftment of hiPSC-derived neural progenitor cells along with primitive macrophage progenitors into the neonatal mouse brain. This approach creates human-mouse chimeric brains containing human microglia, macroglia (astroglia and oligodendroglia), and neurons. Using super-resolution imaging and 3D reconstruction techniques, we examine the dynamics between human neurons and glia, unveiling human microglia engulfing immature human neurons, microglia pruning synapses of human neurons, and significant interactions between human oligodendrocytes and neurons. Single-cell RNA sequencing analysis of the chimeric brain uncovers a close recapitulation of the human glial progenitor cell population, along with a dynamic stage in astroglial development that mirrors the processes found in the human brain. Furthermore, cell-cell communication analysis highlights significant neuronal-glial and glial-glial interactions, especially the interaction between adhesion molecules neurexins and neuroligins. This innovative co-transplantation model opens up new avenues for exploring the complex pathophysiological mechanisms underlying human neurological diseases. It holds particular promise for studying disorders where glial-neuronal interactions and non-cell-autonomous effects play crucial roles.

Keywords

RNA sequencing analysis, adhesion, analysis, astroglial development, brain, brain environment, brain function, brain model, cell populations, cell-cell communication analysis, cells, cells in vivo, chimeric brains, co-transplantation, communication analysis, complex, complex pathophysiological mechanisms, complexity of brain function, development, disease, disorders, dynamic stage, dynamics, effect, engraftment, environment, function, glia, glial-glial, glial-glial interactions, glial-neuronal interactions, human brain, human microglia, human neural cells, human neurological diseases, human neurons, human oligodendrocytes, images, intact brain environment, interaction, macroglia, macrophage progenitors, mechanism, microglia, model, mouse brain, neonatal mouse brain, neural cells, neural cells in vivo, neural progenitor cells, neurexin, neuroligin, neurological diseases, neurological disorders, neuronal-glial, neurons, non-cell-autonomous effects, oligodendrocytes, pathophysiological mechanisms, population, primitive macrophage progenitors, process, progenitor cell populations, progenitor cells, progenitors, prune synapses, recapitulation, reconstruction technique, sequence analysis, significant interaction, single-cell RNA sequencing analysis, stage, strategies, super-resolution imaging, synapses, technique, treatment

Funders

  • National Institute of Neurological Disorders and Stroke
  • National Institute on Aging

Data Provider: Digital Science