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Cerebral organoids display dynamic clonal growth with lineage replenishment

GSE214105 Homo sapiens; Mus musculus Other; Expression profiling by high throughput sequencing 9 samples Submitted 2024/03/01 Platform GPL24676Platform GPL25526
Summary
During development tissue stem cells expand by symmetrical divisions while asymmetric divisions self-renew a tissue stem cell and produce differentiating cell types that assemble into functional organs. In brain development this process is variable for individual neural stem cells, resulting in differentially sized stem cell clones, but it is unclear how overall brain size is reproducibly generated during neurogenesis. Imaging-based lineage tracing allows for lineage analysis at high cellular resolution but systematic approaches to analyze clonal relationships in an entire tissue are currently lacking. Here we implement whole-tissue lineage tracing by genomic DNA barcoding in 3D human cerebral organoids and show that individual stem cell clones produce progeny on a vastly variable scale. We find that symmetrically dividing cells in a subpopulation of lineages continuously resides within the developing human tissue and drive the variable lineage size distribution. We show that stem cell output is tunable to tissue demands by chemical ablation or genetic fate restriction in chimeric organoids in which perturbed organoid development is completely compensated for by unaffected lineages. This data reveals adaptive plasticity of stem cell populations in developing human brain tissue dependent on tissue needs to ensure normal development.
Published in
Cerebral organoids display dynamic clonal growth and tunable tissue replenishment
Lindenhofer D, Haendeler S, Esk C et al. · Nature cell biology 2024 · PMID 38714853 · doi:10.1038/s41556-024-01412-z
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Direct links to NCBI, no account and no request form: the whole study as GSE214105_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 9 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA883958 and SRA study SRP399429. Searching any of these in the dataset finder brings you back here.

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