Lineage Recording in Human Brain Organoids with iTracer

Single-cell genomic profiling to study regeneration

A. Maynard; M. Soretić; B. Treutlein 

Regenerative capacities and strategies vary dramatically across animals, as well as between cell types, organs, and with age. In recent years, high-throughput single-cell transcriptomics and other single-cell profiling technologies have been applied to many animal models to gain an understanding of the cellular and molecular mechanisms underlying regeneration. Here, we review recent single-cell studies of regeneration in diverse contexts and summarize key concepts that have emerged. The immense regenerative capacity of some invertebrates, exemplified by planarians, is driven mainly by the differentiation of abundant adult pluripotent stem cells, whereas in many other cases, regeneration involves the reactivation of embryonic or developmental gene-regulatory networks in differentiated cell types. However, regeneration also differs from development in many ways, including the use of regeneration-specific cell types and gene regulatory networks.

Single-cell analyses of axolotl telencephalon organization, neurogenesis, and regeneration

K. Lust; A. Maynard; T. Gomes; J. S. Fleck; J. G. Camp et al. 

Salamanders are tetrapod models to study brain organization and regeneration; however, the identity and evolutionary conservation of brain cell types are largely unknown. We delineated the cell populations in the axolotl telencephalon during homeostasis and regeneration using single-cell genomic profiling. We identified glutamatergic neurons with similarities to amniote neurons of hippocampus, dorsal and lateral cortex, and conserved g-aminobutyric acid-releasing (GABAergic) neuron classes. We inferred transcriptional dynamics and gene regulatory relationships of postembryonic, region-specific neurogenesis and unraveled conserved differentiation signatures. After brain injury, ependymoglia activate an injury-specific state before reestablishing lost neuron populations and axonal connections. Together, our analyses yield insights into the organization, evolution, and regeneration of a tetrapod nervous system.

Lineage recording in human cerebral organoids

Z. He; A. Maynard; A. Jain; T. Gerber; R. Petri et al. 

Induced pluripotent stem cell (iPSC)-derived organoids provide models to study human organ development. Single-cell transcriptomics enable highly resolved descriptions of cell states within these systems; however, approaches are needed to directly measure lineage relationships. Here we establish iTracer, a lineage recorder that combines reporter barcodes with inducible CRISPR–Cas9 scarring and is compatible with single-cell and spatial transcriptomics. We apply iTracer to explore clonality and lineage dynamics during cerebral organoid development and identify a time window of fate restriction as well as variation in neurogenic dynamics between progenitor neuron families. We also establish long-term four-dimensional light-sheet microscopy for spatial lineage recording in cerebral organoids and confirm regional clonality in the developing neuroepithelium. We incorporate gene perturbation (iTracer-perturb) and assess the effect of mosaic TSC2 mutations on cerebral organoid development. Our data shed light on how lineages and fates are established during cerebral organoid formation. More broadly, our techniques can be adapted in any iPSC-derived culture system to dissect lineage alterations during normal or perturbed development.

Therapy-Induced Evolution of Human Lung Cancer Revealed by Single-Cell RNA Sequencing

A. Maynard; C. E. McCoach; J. K. Rotow; L. Harris; F. Haderk et al. 

Lung cancer, the leading cause of cancer mortality, exhibits heterogeneity that enables adaptability, limits therapeutic success, and remains incompletely understood. Single-cell RNA sequencing (scRNA-seq) of metastatic lung cancer was performed using 49 clinical biopsies obtained from 30 patients before and during targeted therapy. Over 20,000 cancer and tumor microenvironment (TME) single-cell profiles exposed a rich and dynamic tumor ecosystem. scRNA-seq of cancer cells illuminated targetable oncogenes beyond those detected clinically. Cancer cells surviving therapy as residual disease (RD) expressed an alveolar-regenerative cell signature suggesting a therapy-induced primitive cell-state transition, whereas those present at on-therapy progressive disease (PD) upregulated kynurenine, plasminogen, and gap-junction pathways. Active T-lymphocytes and decreased macrophages were present at RD and immunosuppressive cell states characterized PD. Biological features revealed by scRNA-seq were biomarkers of clinical outcomes in independent cohorts. This study highlights how therapy-induced adaptation of the multi-cellular ecosystem of metastatic cancer shapes clinical outcomes. Analysis of metastatic lung cancer biopsies before and after targeted therapy reveals molecular and immune adaptations that shape clinical outcomes.