Cell stress in cortical organoids impairs molecular subtype specification
Open accessAbstract
Cortical organoids are self-organizing three-dimensional cultures that model features of the developing human cerebral cortex 1,2. However, the fidelity of organoid models remains unclear 3-5. Here we analyse the transcriptomes of individual primary human cortical cells from different developmental periods and cortical areas. We find that cortical development is characterized by progenitor maturation trajectories, the emergence of diverse cell subtypes and areal specification of newborn neurons. By contrast, organoids contain broad cell classes, but do not recapitulate distinct cellular subtype identities and appropriate progenitor maturation. Although the molecular signatures of cortical areas emerge in organoid neurons, they are not spatially segregated. Organoids also ectopically activate cellular stress pathways, which impairs cell-type specification. However, organoid stress and subtype defects are alleviated by transplantation into the mouse cortex. Together, these datasets and analytical tools provide a framework for evaluating and improving the accuracy of cortical organoids as models of human brain development.
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These microglia/organoid models still suffer from variation of organoid size and composition, confounds stemming from organoid hypoxia/necrosis, and physical damage from microglia injection.
“However, these microglia/organoid models still suffer from (1) variation of organoid size and composition; (2) confounds stemming from organoid hypoxia/necrosis; and (3) physical damage from microglia injection.29–31”
From Tubular human brain organoids to model microglia-mediated neuroinflammation (2021) · cites this paper as [29]
The sections “Cellular Stress Increases in Organoids” and “Organoid Environment Activates Stress” report stress in organoid cells, supporting a general concern about culture-related confounds. They do not establish hypoxia or necrosis as the cause. “Impaired Cell Type Fidelity in Organoids” says composition was similar across organoids of the same age, and the paper does not report organoid-size variation or damage from injecting microglia; its injection methods concern transplanting organoid cells into mice. (LLM, conf=0.82)
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Cites
Integrating single-cell transcriptomic data across different conditions, technologies, and species
Butler, A., Hoffman, P., Smibert, P., Papalexi, E., & Satija, R. (2018) · Nature Biotechnology · doi:10.1038/nbt.4096 · Cited by 13,174 · see citing works
Cerebral organoids model human brain development and microcephaly
Lancaster, M. A., Renner, M., Martin, C.-A., Wenzel, D., Bicknell, L. S., Hurles, M. E., Homfray, T., Penninger, J. M., Jackson, A. P., & Knoblich, J. A. (2013) · Nature · doi:10.1038/nature12517 · Cited by 5,372 · see citing works
Molecular Architecture of the Mouse Nervous System
Zeisel, A., Hochgerner, H., Lönnerberg, P., Johnsson, A., Memic, F., van der Zwan, J., Häring, M., Braun, E., Borm, L. E., La Manno, G., et al. (2018) · Cell · doi:10.1016/j.cell.2018.06.021 · Cited by 2,995 · see citing works
The cell biology of neurogenesis
Götz, M., & Huttner, W. B. (2005) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm1739 · Cited by 2,130 · see citing works
Molecular diversity and specializations among the cells of the adult mouse brain
Saunders, A., Macosko, E. Z., Wysoker, A., Goldman, M., Krienen, F. M., de Rivera, H., Bien, E., Baum, M., Bortolin, L., Wang, S., et al. (2018) · Cell · doi:10.1016/j.cell.2018.07.028 · Cited by 1,847 · see citing works
Conserved cell types with divergent features in human versus mouse cortex
Hodge, R. D., Bakken, T. E., Miller, J. A., Smith, K. A., Barkan, E. R., Graybuck, L. T., Close, J. L., Long, B., Johansen, N., Penn, O., et al. (2019) · Nature · doi:10.1038/s41586-019-1506-7 · Cited by 1,775 · see citing works
Shared and distinct transcriptomic cell types across neocortical areas
Tasic, B., Yao, Z., Graybuck, L. T., Smith, K. A., Nguyen, T. N., Bertagnolli, D., Goldy, J., Garren, E., Economo, M. N., Viswanathan, S., et al. (2018) · Nature · doi:10.1038/s41586-018-0654-5 · Cited by 1,746 · see citing works
Eiraku, M., Watanabe, K., Matsuo-Takasaki, M., Kawada, M., Yonemura, S., Matsumura, M., Wataya, T., Nishiyama, A., Muguruma, K., & Sasai, Y. (2008) · Cell Stem Cell · doi:10.1016/j.stem.2008.09.002 · Cited by 1,522 · see citing works
Cell diversity and network dynamics in photosensitive human brain organoids
Quadrato, G., Nguyen, T., Macosko, E. Z., Sherwood, J. L., Min Yang, S., Berger, D. R., Maria, N., Scholvin, J., Goldman, M., Kinney, J. P., et al. (2017) · Nature · doi:10.1038/nature22047 · Cited by 1,321 · see citing works
Comprehensive Classification of Retinal Bipolar Neurons by Single-Cell Transcriptomics
Shekhar, K., Lapan, S. W., Whitney, I. E., Tran, N. M., Macosko, E. Z., Kowalczyk, M., Adiconis, X., Levin, J. Z., Nemesh, J., Goldman, M., et al. (2016) · Cell · doi:10.1016/j.cell.2016.07.054 · Cited by 1,176 · see citing works
Individual brain organoids reproducibly form cell diversity of the human cerebral cortex
Velasco, S., Kedaigle, A. J., Simmons, S. K., Nash, A., Rocha, M., Quadrato, G., Paulsen, B., Nguyen, L., Adiconis, X., Regev, A., et al. (2019) · Nature · doi:10.1038/s41586-019-1289-x · Cited by 1,094 · see citing works
Kadoshima, T., Sakaguchi, H., Nakano, T., Soen, M., Ando, S., Eiraku, M., & Sasai, Y. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1315710110 · Cited by 999 · see citing works
Sloan, S. A., Darmanis, S., Huber, N., Khan, T. A., Birey, F., Caneda, C., Reimer, R., Quake, S. R., Barres, B. A., & Paşca, S. P. (2017) · Neuron · doi:10.1016/j.neuron.2017.07.035 · Cited by 593 · see citing works
Developmental diversification of cortical inhibitory interneurons
Mayer, C., Hafemeister, C., Bandler, R. C., Machold, R., Batista Brito, R., Jaglin, X., Allaway, K., Butler, A., Fishell, G., & Satija, R. (2018) · Nature · doi:10.1038/nature25999 · Cited by 492 · see citing works
Differentiation and maturation of oligodendrocytes in human three-dimensional neural cultures
Marton, R. M., Miura, Y., Sloan, S. A., Li, Q., Revah, O., Levy, R. J., Huguenard, J. R., & Pașca, S. P. (2019) · Nature Neuroscience · doi:10.1038/s41593-018-0316-9 · Cited by 362 · see citing works
Flagged first, then by citations
Research works printed but not linked: 27
- [3]Camp JG Human cerebral organoids recapitulate gene expression programs of fetal neocortex development. Proceedings of the National Academy of Sciences of the United States of America 112, 15672– 15677, doi: 10.1073/pnas.1520760112 (2015). 26644564 PMC4697386 · DOI · Paper page
- [4]Pollen AA Establishing Cerebral Organoids as Models of Human-Specific Brain Evolution. Cell 176, 743– 756 e717, doi: 10.1016/j.cell.2019.01.017 (2019). 30735633 PMC6544371 · DOI · Paper page
- [6]Camp JG Multilineage communication regulates human liver bud development from pluripotency. Nature 546, 533– 538, doi: 10.1038/nature22796 (2017). 28614297 · DOI · Paper page
- [7]Wu H Comparative Analysis and Refinement of Human PSC-Derived Kidney Organoid Differentiation with Single-Cell Transcriptomics. Cell Stem Cell 23, 869– 881 e868, doi: 10.1016/j.stem.2018.10.010 (2018). 30449713 PMC6324730 · DOI
- [9]Amiri A Transcriptome and epigenome landscape of human cortical development modeled in organoids. Science 362, doi: 10.1126/science.aat6720 (2018). PMC6426303 30545853 · DOI
- [10]Mansour AA An in vivo model of functional and vascularized human brain organoids. Nature biotechnology 36, 432– 441, doi: 10.1038/nbt.4127 (2018). PMC6331203 29658944 · DOI · Paper page
- [12]Xiang Y Fusion of Regionally Specified hPSC-Derived Organoids Models Human Brain Development and Interneuron Migration. Cell Stem Cell 21, 383– 398 e387, doi: 10.1016/j.stem.2017.07.007 (2017). 28757360 PMC5720381 · DOI
- [14]Giandomenico SL Cerebral organoids at the air-liquid interface generate diverse nerve tracts with functional output. Nature neuroscience 22, 669– 679, doi: 10.1038/s41593-019-0350-2 (2019). 30886407 PMC6436729 · DOI · Paper page
- [16]Pasca AM Human 3D cellular model of hypoxic brain injury of prematurity. Nat Med 25, 784– 791, doi: 10.1038/s41591-019-0436-0 (2019). 31061540 PMC7020938 · DOI · Paper page
- [17]Lui JH, Hansen DV & Kriegstein AR Development and evolution of the human neocortex. Cell 146, 18– 36, doi: 10.1016/j.cell.2011.06.030 (2011). 21729779 PMC3610574 · DOI · Paper page
- [19]Nowakowski TJ Spatiotemporal gene expression trajectories reveal developmental hierarchies of the human cortex. Science 358, 1318– 1323, doi: 10.1126/science.aap8809 (2017). 29217575 PMC5991609 · DOI · Paper page
- [21]Pollen AA Molecular identity of human outer radial glia during cortical development. Cell 163, 55– 67, doi: 10.1016/j.cell.2015.09.004 (2015). 26406371 PMC4583716 · DOI · Paper page
- [22]Nowakowski TJ, Pollen AA, Sandoval-Espinosa C & Kriegstein AR Transformation of the Radial Glia Scaffold Demarcates Two Stages of Human Cerebral Cortex Development. Neuron 91, 1219– 1227, doi: 10.1016/j.neuron.2016.09.005 (2016). 27657449 PMC5087333 · DOI
- [23]Vaid S A novel population of Hopx-dependent basal radial glial cells in the developing mouse neocortex. Development 145, doi: 10.1242/dev.169276 (2018). 30266827 · DOI
- [24]Harrington AJ MEF2C regulates cortical inhibitory and excitatory synapses and behaviors relevant to neurodevelopmental disorders. Elife 5, doi: 10.7554/eLife.20059 (2016). PMC5094851 27779093 · DOI · Paper page
- [25]Barbosa AC MEF2C, a transcription factor that facilitates learning and memory by negative regulation of synapse numbers and function. Proceedings of the National Academy of Sciences of the United States of America 105, 9391– 9396, doi: 10.1073/pnas.0802679105 (2008). 18599438 PMC2453723 · DOI · Paper page
- [26]Langfelder P & Horvath S WGCNA: an R package for weighted correlation network analysis. BMC bioinformatics 9, 559, doi: 10.1186/1471-2105-9-559 (2008). 19114008 PMC2631488 · DOI · Paper page
- [30]Cadwell CR, Bhaduri A, Mostajo-Radji MA, Keefe MG & Nowakowski TJ Development and Arealization of the Cerebral Cortex. Neuron 103, 980– 1004, doi: 10.1016/j.neuron.2019.07.009 (2019). 31557462 PMC9245854 · DOI · Paper page
- [31]Simi A & Studer M Developmental genetic programs and activity-dependent mechanisms instruct neocortical area mapping. Current opinion in neurobiology 53, 96– 102, doi: 10.1016/j.conb.2018.06.007 (2018). 30005291 · DOI
- [32]Yoshida A & Tani K Phosphoglycerate kinase abnormalities: functional, structural and genomic aspects. Biomed Biochim Acta 42, S263– 267 (1983). 6689547
- [33]Izumi K ARCN1 Mutations Cause a Recognizable Craniofacial Syndrome Due to COPI-Mediated Transport Defects. Am J Hum Genet 99, 451– 459, doi: 10.1016/j.ajhg.2016.06.011 (2016). 27476655 PMC4974084 · DOI
- [34]Gee HY, Noh SH, Tang BL, Kim KH & Lee MG Rescue of DeltaF508-CFTR trafficking via a GRASP-dependent unconventional secretion pathway. Cell 146, 746– 760, doi: 10.1016/j.cell.2011.07.021 (2011). 21884936 · DOI
- [35]Kim J Monomerization and ER Relocalization of GRASP Is a Requisite for Unconventional Secretion of CFTR. Traffic 17, 733– 753, doi: 10.1111/tra.12403 (2016). 27062250 · DOI
- [36]Laguesse S A Dynamic Unfolded Protein Response Contributes to the Control of Cortical Neurogenesis. Dev Cell 35, 553– 567, doi: 10.1016/j.devcel.2015.11.005 (2015). 26651292 · DOI
- [37]Tseng KY MANF Is Essential for Neurite Extension and Neuronal Migration in the Developing Cortex. eNeuro 4, doi: 10.1523/ENEURO.0214-17.2017 (2017). PMC5655607 29082311 · DOI
- [39]Peng YR Molecular Classification and Comparative Taxonomics of Foveal and Peripheral Cells in Primate Retina. Cell 176, 1222– 1237 e1222, doi: 10.1016/j.cell.2019.01.004 (2019). 30712875 PMC6424338 · DOI
- [41]Hoffman GE & Schadt EE variancePartition: interpreting drivers of variation in complex gene expression studies. BMC bioinformatics 17, 483, doi: 10.1186/s12859-016-1323-z (2016). 27884101 PMC5123296 · DOI
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Cowan, C. S., Renner, M., De Gennaro, M., Gross-Scherf, B., Goldblum, D., Hou, Y., Munz, M., Rodrigues, T. M., Krol, J., Szikra, T., et al. (2020) · Cell · doi:10.1016/j.cell.2020.08.013 · Cited by 654 · see citing works
Trevino, A. E., Müller, F., Andersen, J., Sundaram, L., Kathiria, A., Shcherbina, A., Farh, K., Chang, H. Y., Pașca, A. M., Kundaje, A., et al. (2021) · Cell · doi:10.1016/j.cell.2021.07.039 · Cited by 478 · see citing works
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Lo, Y.-H., Karlsson, K., & Kuo, C. J. (2020) · Nature Cancer · doi:10.1038/s43018-020-0102-y · Cited by 182 · see citing works
Bowles, K. R., Silva, M. C., Whitney, K., Bertucci, T., Berlind, J. E., Lai, J. D., Garza, J. C., Boles, N. C., Mahali, S., Strang, K. H., et al. (2021) · Cell · doi:10.1016/j.cell.2021.07.003 · Cited by 175 · see citing works
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Eichmüller, O. L., Corsini, N. S., Vértesy, Á., Morassut, I., Scholl, T., Gruber, V.-E., Peer, A. M., Chu, J., Novatchkova, M., Hainfellner, J. A., et al. (2022) · Science · doi:10.1126/science.abf5546 · Cited by 163 · see citing works
Skylar-Scott, M. A., Huang, J. Y., Lu, A., Ng, A. H. M., Duenki, T., Liu, S., Nam, L. L., Damaraju, S., Church, G. M., & Lewis, J. A. (2022) · Nature Biomedical Engineering · doi:10.1038/s41551-022-00856-8 · Cited by 160 · see citing works
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Zimmer, T. S., Broekaart, D. W. M., Gruber, V.-E., van Vliet, E. A., Mühlebner, A., & Aronica, E. (2020) · Frontiers in Neurology · doi:10.3389/fneur.2020.01028 · Cited by 48 · see citing works
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“Importantly, it has been recently shown that metabolic stress can impair the molecular specification of neurons 219 : a study that compared brain tissue with brain organoids has found that the metabolic stress created by the culture conditions meant that the organoids did not fully recapitulate the…”
- Authors
- Bhaduri, A., Andrews, M. G., Mancia Leon, W., Jung, D., Shin, D., Allen, D., Jung, D., Schmunk, G., Haeussler, M., Salma, J., Pollen, A. A., Nowakowski, T. J., & Kriegstein, A. R.
- Affiliations
- University of California, San Francisco (US)
- University of California, Santa Cruz (US)
- Aga Khan University (PK)
- Corresponding author
- Kriegstein, Arnold R.
- ORCID
- Venue
- Nature
- Published
- 2020-01-29
- Volume
- 578
- Issue
- 7793
- Pages
- 142-148
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC7433012
- OpenAlex
- W3004345103
- Cited by
- 624
- References
- 15
- Citations by year
- 2026: 82 · 2025: 82 · 2024: 101 · 2023: 91 · 2022: 106 · 2021: 85 · 2020: 75 · 2012: 1
- FWCI
- 35.81
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- eCommons - AKU (Aga Khan University) (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- Medical Research Council (MR/R006237/1)
- National Institute of Mental Health (U01MH114825, F32MH118785)
- National Institute of Neurological Disorders and Stroke (F32NS103266, R35NS097305, K99NS111731)
- Topics
- Life Sciences › Neuroscience › Developmental Neuroscience › Neurogenesis and neuroplasticity mechanisms
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Developmental Biology and Gene Regulation
- Keywords
- cortical organoids, cortical development, cellular stress, neuronal subtype specification, single-cell transcriptomics, organoid transplantation, transcriptome
- MeSH terms
- Cerebral Cortex, Humans, Neurons, Organoids, Stress, Physiological, Tissue Culture Techniques, Neurogenesis, Single-Cell Analysis
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