Lineage recording in human cerebral organoids (whole organoids)
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ABSTRACT:
PROVIDER: PRJEB47776 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Lineage recording in human cerebral organoids (Visium)
| PRJEB47710 | ENA
Project description:Lineage recording in human cerebral organoids (microdissected)
| PRJEB47712 | ENA
Project description:Induced pluripotent stem cell (iPSC) derived organoid systems provide models to study human organ development. Single-cell transcriptome sequencing enables highly-resolved descriptions of cell state heterogeneity within these systems and computational methods can reconstruct developmental trajectories. However, new approaches are needed to directly measure lineage relationships in these systems. Here we establish an inducible dual channel lineage recorder, iTracer, that couples reporter barcodes, inducible CRISPR/Cas9 scarring, and single-cell transcriptomics to analyze state and lineage relationships in iPSC-derived systems. This data set include the iTracer data of 12 cerebral organoids.
2021-11-03 | E-MTAB-10974 | biostudies-arrayexpress
Project description:Lineage recording in human cerebral organoids (iTracer-perturb)
| PRJEB47708 | ENA
Project description:Induced pluripotent stem cell (iPSC) derived organoid systems provide models to study human organ development. Single-cell transcriptome sequencing enables highly-resolved descriptions of cell state heterogeneity within these systems and computational methods can reconstruct developmental trajectories. However, new approaches are needed to directly measure lineage relationships in these systems. Here we establish an inducible dual channel lineage recorder, iTracer, that couples reporter barcodes, inducible CRISPR/Cas9 scarring, and single-cell transcriptomics to analyze state and lineage relationships in iPSC-derived systems. This data set include the iTracer-perturb data of one cerebral organoid with simultaneous TSC2 perturbation and lineage recording.
2021-11-03 | E-MTAB-10971 | biostudies-arrayexpress
Project description:Induced pluripotent stem cell (iPSC) derived organoid systems provide models to study human organ development. Single-cell transcriptome sequencing enables highly-resolved descriptions of cell state heterogeneity within these systems and computational methods can reconstruct developmental trajectories. However, new approaches are needed to directly measure lineage relationships in these systems. Here we establish an inducible dual channel lineage recorder, iTracer, that couples reporter barcodes, inducible CRISPR/Cas9 scarring, and single-cell transcriptomics to analyze state and lineage relationships in iPSC-derived systems. This data set include the spatial iTracer data of three slices of one cerebral organoid measured by 10x Visium.
2021-11-03 | E-MTAB-10972 | biostudies-arrayexpress
Project description:Induced pluripotent stem cell (iPSC) derived organoid systems provide models to study human organ development. Single-cell transcriptome sequencing enables highly-resolved descriptions of cell state heterogeneity within these systems and computational methods can reconstruct developmental trajectories. However, new approaches are needed to directly measure lineage relationships in these systems. Here we establish an inducible dual channel lineage recorder, iTracer, that couples reporter barcodes, inducible CRISPR/Cas9 scarring, and single-cell transcriptomics to analyze state and lineage relationships in iPSC-derived systems. This data set include the iTracer data of two microdissected regions of one cerebral organoid.
2021-11-03 | E-MTAB-10973 | biostudies-arrayexpress
Project description: Not available
| S-EPMC8748197 | biostudies-literature
Project description:Cerebral organoids â three-dimensional cultures of human cerebral tissue derived from pluripotent stem cells â have emerged as models of human cortical development. However, the extent to which in vitro organoid systems recapitulate neural progenitor cell proliferation and neuronal differentiation programs observed in vivo remains unclear. Here we use single-cell RNA sequencing (scRNA-seq) to dissect and compare cell composition and progenitor-to-neuron lineage relationships in human cerebral organoids and fetal neocortex. Covariation network analysis using the fetal neocortex data reveals known and novel interactions among genes central to neural progenitor proliferation and neuronal differentiation. In the organoid, we detect diverse progenitors and differentiated cell types of neuronal and mesenchymal lineages, and identify cells that derived from regions resembling the fetal neocortex. We find that these organoid cortical cells use gene expression programs remarkably similar to those of the fetal tissue in order to organize into cerebral cortex-like regions. Our comparison of in vivo and in vitro cortical single cell transcriptomes illuminates the genetic features underlying human cortical development that can be studied in organoid cultures. 734 single-cell transcriptomes from human fetal neocortex or human cerebral organoids from multiple time points were analyzed in this study. All single cell samples were processed on the microfluidic Fluidigm C1 platform and contain 92 external RNA spike-ins. Fetal neocortex data were generated at 12 weeks post conception (chip 1: 81 cells; chip 2: 83 cells) and 13 weeks post conception (62 cells). Cerebral organoid data were generated from dissociated whole organoids derived from induced pluripotent stem cell line 409B2 (iPSC 409B2) at 33 days (40 cells), 35 days (68 cells), 37 days (71 cells), 41 days (74 cells), and 65 days (80 cells) after the start of embryoid body culture. Cerebral organoid data were also generated from microdissected cortical-like regions from H9 embryonic stem cell derived organoids at 53 days (region 1, 48 cells; region 2, 48 cells) or from iPSC 409B2 organoids at 58 days (region 3, 43 cells; region 4, 36 cells).
2015-12-07 | E-GEOD-75140 | biostudies-arrayexpress
Project description: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.
2024-03-01 | GSE214105 | GEO