Deciphering Brain Organoids Heterogeneity by Identifying Key Quality Determinants
Kachkin, D.; Zagha, N.; Boerstler, T.; Furlanetto, F.; Nayebzade, N.; Zappia, L.; Boisvert, M.; Farrell, M.; Ploetz, S.; Regensburger, M.; Guenther, C.; Winkler, J.; Gupta, P.; Theis, F.; Karow, M.; Falk, S.; Winner, B.; Krach, F.
Show abstract
Brain organoids derived from human pluripotent stem cells (hPSCs) hold immense potential for modeling neurodevelopmental processes and disorders. However, their experimental variability and undefined organoid selection criteria for analysis hinder reproducibility. As part of the Bavarian ForInter consortium, we generated 72 brain organoids from distinct hPSC lines. We conducted a comprehensive analysis of their morphological and cellular characteristics at an early stage of their development. In our assessment, the Feret diameter emerged as a reliable, single parameter that characterizes brain organoid quality. Transcriptomic analysis further confirmed the reliability of this marker and identified a negative impact of mesenchymal cells on the abundance of organoid formation. High-quality organoids consistently displayed a lower mesenchymal cell presence. These findings offer a framework for enhancing brain organoid standardization and reproducibility, underscoring the need for morphological quality controls and the consideration of mesenchymal cell influence on organoid-based modeling. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=186 HEIGHT=200 SRC="FIGDIR/small/632763v1_ufig1.gif" ALT="Figure 1"> View larger version (34K): org.highwire.dtl.DTLVardef@11c214org.highwire.dtl.DTLVardef@1dcb643org.highwire.dtl.DTLVardef@1420141org.highwire.dtl.DTLVardef@6074e6_HPS_FORMAT_FIGEXP M_FIG C_FIG
Matching journals
The top 7 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Characterization of mitochondrial health from human peripheral blood mononuclear cells to cerebral organoids derived from induced pluripotent stem cells 97%
- A robust and comprehensive quality control of cerebral cortical organoids: methodology and validation 95%
- Human Cerebral Spheroids Undergo Activity Dependent Changes In Cellular Composition And MicroRNA Expression 95%
Similar papers in this journal
- Enhanced Production of Mesencephalic Dopaminergic Neurons from Lineage-Restricted Human Undifferentiated Stem Cells 96%
- Targeted Antisense Oligonucleotide Treatment Rescues Developmental Alterations in Spinal Muscular Atrophy Organoids 95%
- Reliability of high-quantity human brain organoids for modeling microcephaly, glioma invasion, and drug screening 95%
Similar papers in this journal
- Methanol fixation is the method of choice for droplet-based single-cell transcriptomics of neural cells 95%
- Self-organization, quality control, and preclinical studies of human iPSC-derived retinal sheets for tissue-transplantation therapy 94%
- LRRK2-mutant microglia and neuromelanin synergize to drive dopaminergic neurodegeneration in an iPSC-based Parkinson's disease model 94%
Similar papers in this journal
- Single cell transcriptomics reveals correct developmental dynamics and high-quality midbrain cell types by improved hESC differentiation. 95%
- MIXL1 Activation in Endoderm Differentiation ofHuman Induced Pluripotent Stem Cells 95%
- Prosaposin maintains adult neural stem cells in a state associated with deep quiescence 94%
Similar papers in this journal
- Impaired p53-mediated DNA damage response contributes to microcephaly in Nijmegen Breakage Syndrome patient-derived cerebral organoids 96%
- Cockayne syndrome patient iPSC-derived brain organoids and neurospheres show early transcriptional dysregulation of biological processes associated with brain development and metabolism. 96%
- Controlling the switch from neurogenesis to pluripotency during marmoset monkey somatic cell reprogramming with self-replicating mRNAs and small molecules 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.