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Individual brain organoids reproducibly form cell diversity of the human cerebral cortex
Open accessAbstract
Experimental models of the human brain are needed for basic understanding of its development and disease 1. Human brain organoids hold unprecedented promise for this purpose; however, they are plagued by high organoid-to-organoid variability 2,3. This has raised doubts as to whether developmental processes of the human brain can occur outside the context of embryogenesis with a degree of reproducibility that is comparable to the endogenous tissue. Here we show that an organoid model of the dorsal forebrain can reliably generate a rich diversity of cell types appropriate for the human cerebral cortex. We performed single-cell RNA-sequencing analysis of 166,242 cells isolated from 21 individual organoids, finding that 95% of the organoids generate a virtually indistinguishable compendium of cell types, following similar developmental trajectories and with a degree of organoid-to-organoid variability comparable to that of individual endogenous brains. Furthermore, organoids derived from different stem cell lines show consistent reproducibility in the cell types produced. The data demonstrate that reproducible development of the complex cellular diversity of the central nervous system does not require the context of the embryo, and that establishment of terminal cell identity is a highly constrained process that can emerge from diverse stem cell origins and growth environments.
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“Furthermore, several studies have shown that guided cortical organoid differentiation yields highly reproducible organoids as compared to unguided organoid differentiation (72–74).”
From Understanding monocyte-driven neuroinflammation in Alzheimer’s disease using human cortical organoid microphysiological systems (2025) · cites this paper as [74]
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“Organoid development followed the expected temporal changes (Lancaster et al., 2013; Velasco et al., 2019; Watanabe et al., 2017; Yoon et al., 2019; Figures 1B–1D; Figure S1A).”
From ELAVL4, splicing, and glutamatergic dysfunction precede neuron loss in MAPT mutation cerebral organoids (2021) · cites this paper as Velasco et al., 2019
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“scRNA-seq analysis of human intestinal and brain organoids used random forest classifiers to identify the cell types in their organoid cultures;73,74”
From Single-cell transcriptomics of human-skin-equivalent organoids (2023) · cites this paper as [74]
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“All cell sub-types were present in WA25 and DSP-GFP organoids, but in different proportions (Fig. 2b, c), suggesting further protocol optimization may be needed to reduce variability19.”
From Hair-bearing human skin generated entirely from pluripotent stem cells (2020) · cites this paper as [19]
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Citations
Cites
Classification and Regression by randomForest
Liaw, A. I., & Wiener, M. C. (2007) · Cited by 18,594
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
Massively parallel digital transcriptional profiling of single cells
Zheng, G. X. Y., Terry, J. M., Belgrader, P., Ryvkin, P., Bent, Z. W., Wilson, R., Ziraldo, S. B., Wheeler, T. D., McDermott, G. P., Zhu, J., et al. (2017) · Nature Communications · doi:10.1038/ncomms14049 · Cited by 7,353
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
Reversed graph embedding resolves complex single-cell trajectories
Qiu, X., Mao, Q., Tang, Y., Wang, L., Chawla, R., Pliner, H. A., & Trapnell, C. (2017) · Nature Methods · doi:10.1038/nmeth.4402 · Cited by 5,070
Scrublet: computational identification of cell doublets in single-cell transcriptomic data
Wolock, S. L., Lopez, R., & Klein, A. M. (2018) · doi:10.1101/357368 · Cited by 2,758 · cited 1×
“1 39 was used to assess the effect of droplets that may have contained more than one cell, with an expected doublet rate of 0.1 and a score threshold of 0.39, chosen based on histograms of simulated doublet scores (Extended Data Fig.”
InfluentialScrublet: computational identification of cell doublets in single-cell transcriptomic data
Wolock, S. L., Lopez, R., & Klein, A. M. (2019) · Cell Systems · doi:10.1016/j.cels.2018.11.005 · Cited by 2,758
Zhang, Y., Sloan, S. A., Clarke, L. E., Caneda, C., Plaza, C. A., Blumenthal, P. D., Vogel, H., Steinberg, G. K., Edwards, M. S. B., Li, G., et al. (2016) · Neuron · doi:10.1016/j.neuron.2015.11.013 · Cited by 2,295
Brain-Region-Specific Organoids Using Mini-bioreactors for Modeling ZIKV Exposure
Qian, X., Nguyen, H. N., Song, M. M., Hadiono, C., Ogden, S. C., Hammack, C., Yao, B., Hamersky, G. R., Jacob, F., Zhong, C., et al. (2016) · Cell · doi:10.1016/j.cell.2016.04.032 · Cited by 2,127
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 1,531
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Items 301–400 of 999
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Yousafzai, M. S., & Hammer, J. A. (2023) · Biosensors · doi:10.3390/bios13100905 · Cited by 30
Consequences of trisomy 21 for brain development in Down syndrome
Russo, M. L., Sousa, A. M. M., & Bhattacharyya, A. (2024) · Nature Reviews Neuroscience · doi:10.1038/s41583-024-00866-2 · Cited by 28
“Comparison of single-cell datasets from human iPSC models of corticogenesis to those obtained from in vivo fetal tissue data, such as PsychEnCODE 172 , using tools such as BOMA 173 , validates iPSC modelling of the mechanisms of human cortical development 174,175 .”
Spinal Cord Organoids to Study Motor Neuron Development and Disease
Buchner, F., Dokuzluoglu, Z., Graß, T., & Rodríguez‐Muela, N. (2023) · Life · doi:10.3390/life13061254 · Cited by 28
Boreland, A. J., Stillitano, A. C., Lin, H., Abbo, Y., Hart, R. P., Jiang, P., Pang, Z. P., & Rabson, A. B. (2024) · iScience · doi:10.1016/j.isci.2024.109628 · Cited by 30
Gao, M., Harper, M. M., Lin, M., Qasem, S. A., Patel, R. A., Mardini, S. H., Gabr, M. M., Cavnar, M. J., Pandalai, P. K., & Kim, J. (2020) · Journal of the American College of Surgeons · doi:10.1016/j.jamcollsurg.2020.11.009 · Cited by 29
Fiorenzano, A., Sozzi, E., Parmar, M., & Storm, P. (2021) · Cells · doi:10.3390/cells10061366 · Cited by 28
Advances in Modeling Alzheimer's Disease In Vitro
Sharma, N. S., Karan, A., Lee, D.-H., Yan, Z., & Xie, J. (2021) · Advanced NanoBiomed Research · doi:10.1002/anbr.202100097 · Cited by 31
Cheaito, K. A., Bahmad, H. F., Hadadeh, O., Msheik, H., Monzer, A., Ballout, F., Dagher, C., Telvizian, T., Saheb, N., Tawil, A. N., et al. (2021) · Oncology Letters · doi:10.3892/ol.2021.13124 · Cited by 29
Cerebral Organoids as an Experimental Platform for Human Neurogenomics
Nowakowski, T. J., & Salama, S. R. (2022) · Cells · doi:10.3390/cells11182803 · Cited by 27
Deciphering Organoids: High-Dimensional Analysis of Biomimetic Cultures
Qin, X., & Tape, C. J. (2020) · Trends in biotechnology · doi:10.1016/j.tibtech.2020.10.013 · Cited by 27
Bosone, C., Castaldi, D., Burkard, T. R., Guzman, S. J., Wyatt, T., Cheroni, C., Caporale, N., Bajaj, S., Bagley, J. A., Li, C. V., et al. (2024) · Nature Methods · doi:10.1038/s41592-024-02412-5 · Cited by 28
Brain organoids: the quest to decipher human-specific features of brain development
Uzquiano, A., & Arlotta, P. (2022) · Current Opinion in Genetics & Development · doi:10.1016/j.gde.2022.101955 · Cited by 28
Self-citationRecent Advances in Brain Organoid Technology for Human Brain Research
Jeong, E., Choi, S., & Cho, S. (2022) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.2c17467 · Cited by 29
Cell-type specific defects in PTEN -mutant cortical organoids converge on abnormal circuit activity
Pigoni, M., Uzquiano, A., Paulsen, B. D. S., Kedaigle, A. J., Yang, S. M., Symvoulidis, P., Adiconis, X., Velasco, S., Sartore, R., Kim, K., et al. (2023) · Human Molecular Genetics · doi:10.1093/hmg/ddad107 · Cited by 27
Self-citationGeneration of advanced cerebellar organoids for neurogenesis and neuronal network development
Chen, Y., Bury, L. A. D., Fu, C. S., Aldinger, K. A., Miranda, H. C., & Wynshaw-Boris, A. J. (2023) · Human Molecular Genetics · doi:10.1093/hmg/ddad110 · Cited by 30
Engineered Human Organoids for Biomedical Applications
Zhu, Y., Sun, L., Wu, X., Gu, Z., & Zhao, Y. (2023) · Advanced Functional Materials · doi:10.1002/adfm.202310961 · Cited by 29
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Gu, L., Cai, H., Chen, L., Gu, M., Tchieu, J. H., & Guo, F. (2024) · BME Frontiers · doi:10.34133/bmef.0065 · Cited by 29
Goal-directed learning in cortical organoids
Robbins, A., Schweiger, H., Hernandez, S., Spaeth, A., Voitiuk, K., Parks, D. F., van der Molen, T., Geng, J., Cline, I., Kosik, K. S., et al. (2026) · Cell Reports · doi:10.1016/j.celrep.2026.116984 · Cited by 41
Modeling brain development and diseases with human cerebral organoids
Shi, Y., Wu, Q., & Wang, X. (2020) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2020.09.006 · Cited by 28
Regional specification and complementation with non-neuroectodermal cells in human brain organoids
Tanaka, Y., & Park, I. (2021) · Journal of Molecular Medicine · doi:10.1007/s00109-021-02051-9 · Cited by 28
Neely, M. D., Xie, S., Prince, L. M., Kim, H., Tukker, A. M., Aschner, M., Thimmapuram, J., & Bowman, A. B. (2021) · Food and Chemical Toxicology · doi:10.1016/j.fct.2021.112288 · Cited by 26
Modeling Brain Tumors: A Perspective Overview of in vivo and Organoid Models
Antonica, F., Aiello, G., Soldano, A., Abballe, L., Miele, E., & Tiberi, L. (2022) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2022.818696 · Cited by 28
MECP2-related pathways are dysregulated in a cortical organoid model of myotonic dystrophy
Morelli, K. H., Jin, W., Sathe, S., Madrigal, A. A., Jones, K. L., Schwartz, J. L., Bridges, T., Mueller, J. R., Shankar, A., Chaim, I. A., et al. (2022) · Science Translational Medicine · doi:10.1126/scitranslmed.abn2375 · Cited by 28
Landry, C. R., Yip, M. C., Zhou, Y., Niu, W., Wang, Y., Yang, B., Wen, Z., & Forest, C. R. (2023) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2023.109898 · Cited by 26
Marei, H. E. S., Khan, M. U. A., & Hasan, A. (2023) · Cellular & Molecular Biology Letters · doi:10.1186/s11658-023-00504-2 · Cited by 27
Honrado, C., Michel, N., Moore, J. H., Salahi, A., Porterfield, V. M., McConnell, M. J., & Swami, N. S. (2020) · ACS Sensors · doi:10.1021/acssensors.0c02022 · Cited by 26
Zhao, J., Ikezu, T. C., Lu, W., Macyczko, J. R., Li, Y., Lewis-Tuffin, L. J., Martens, Y. A., Ren, Y., Zhu, Y., Asmann, Y. W., et al. (2023) · Stem Cell Research & Therapy · doi:10.1186/s13287-023-03444-y · Cited by 25
Ge, J.-Y., Wang, Y., Li, Q., Liu, F.-K., Lei, Q.-K., & Zheng, Y. (2024) · PeerJ · doi:10.7717/peerj.18422 · Cited by 27
Organoids in skin wound healing
Wang, Z., Zhao, F., Lang, H., Ren, H., Zhang, Q., Huang, X., He, C., Xu, C., Tan, C., Ma, J., et al. (2024) · Burns & Trauma · doi:10.1093/burnst/tkae077 · Cited by 26
Taming human brain organoids one cell at a time
Atamian, A., Cordón-Barris, L., & Quadrato, G. (2020) · Seminars in Cell and Developmental Biology · doi:10.1016/j.semcdb.2020.05.022 · Cited by 26
Self-citationSingle‐cell RNA sequencing analysis of SARS‐CoV‐2 entry receptors in human organoids
Mahalingam, R., Dharmalingam, P., Santhanam, A., Kotla, S., Davuluri, G., Karmouty‐Quintana, H., Guha, A., & Thandavarayan, R. A. (2020) · Journal of Cellular Physiology · doi:10.1002/jcp.30054 · Cited by 25
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He, F., Tao, T., Liu, H., Wang, Y., Cui, K., Guo, Y., & Qin, J. (2021) · ACS Applied Bio Materials · doi:10.1021/acsabm.0c01441 · Cited by 26
Pintacuda, G., Martín, J. M., & Eggan, K. C. (2021) · Molecular Autism · doi:10.1186/s13229-021-00417-x · Cited by 26
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O’Rawe, M., Kilmister, E. J., Mantamadiotis, T., Kaye, A. H., Tan, S. T., & Wickremesekera, A. (2021) · Cancers · doi:10.3390/cancers13164004 · Cited by 24
Modelling the central nervous system: tissue engineering of the cellular microenvironment
Walczak, P. A., Esteban, P. P., Bassett, D. C., & Hill, E. J. (2021) · Emerging Topics in Life Sciences · doi:10.1042/etls20210245 · Cited by 26
Unraveling Human Brain Development and Evolution Using Organoid Models
Fernandes, S., Klein, D., & Marchetto, M. C. (2021) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2021.737429 · Cited by 27
Interfacing brain organoids with precision medicine and machine learning
Zheng, H., Feng, Y., Tang, J., & Ma, S. (2022) · Cell Reports Physical Science · doi:10.1016/j.xcrp.2022.100974 · Cited by 26
Qian, S., Mao, J., Liu, Z., Zhao, B., Zhao, Q., Lu, B., Zhang, L., Mao, X., Cheng, L., Cui, W., et al. (2022) · Smart Medicine · doi:10.1002/smmd.20220007 · Cited by 25
He, C., Kalafut, N. C., Sandoval, S. O., Risgaard, R. D., Sirois, C. L., Yang, C., Khullar, S., Suzuki, M., Huang, X., Chang, Q., et al. (2023) · Cell Reports Methods · doi:10.1016/j.crmeth.2023.100409 · Cited by 25
Noack, F., Vangelisti, S., Ditzer, N., Chong, F., Albert, M., & Bonev, B. (2023) · Nature Cell Biology · doi:10.1038/s41556-023-01296-5 · Cited by 27
Back to the origins: Human brain organoids to investigate neurodegeneration
Faravelli, I., Costamagna, G., Tamanini, S., & Corti, S. (2020) · Brain Research · doi:10.1016/j.brainres.2019.146561 · Cited by 25
Brighi, C., Cordella, F., Chiriatti, L., Soloperto, A., & Angelantonio, S. D. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.00655 · Cited by 25
Zhi, Y., Zhu, Y., Wang, J., Zhao, J., & Zhao, Y. (2023) · Research · doi:10.34133/research.0273 · Cited by 26
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Lee, C., Willerth, S. M., & Nygaard, H. B. (2020) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2020.101804 · Cited by 24
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Takizawa, T., Ayata, C., & Chen, S. (2020) · Progress in brain research · doi:10.1016/bs.pbr.2020.05.009 · Cited by 25
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Shcheglovitov, A., & Peterson, R. T. (2021) · Neurotherapeutics · doi:10.1007/s13311-021-01115-5 · Cited by 23
Bhattacharya, A., Choi, W. W. Y., Muffat, J., & Li, Y. (2021) · Journal of Molecular Biology · doi:10.1016/j.jmb.2021.167386 · Cited by 24
Mapping of clonal lineages across developmental stages in human neural differentiation
You, Z., Wang, L., He, H., Wu, Z., Zhang, X., Xue, S., Xu, P., Hong, Y., Xiong, M., Wei, W., et al. (2023) · Cell stem cell · doi:10.1016/j.stem.2023.02.007 · Cited by 22
Copy number variants (CNVs): a powerful tool for iPSC-based modelling of ASD
Drakulić, D., Djurovic, S., Syed, Y. A., Trattaro, S., Caporale, N., Falk, A., Ofir, R., Heine, V. M., Chawner, S. J. R. A., Moreno, A. R., et al. (2020) · Molecular Autism · doi:10.1186/s13229-020-00343-4 · Cited by 24
Three-dimensional in vitro tissue culture models of brain organoids
Gong, J., Meng, T., Yang, J., Hu, N., Zhao, H., & Tian, T. (2021) · Experimental Neurology · doi:10.1016/j.expneurol.2021.113619 · Cited by 23
van der Geest, A. T., Jakobs, C. E., Ljubikj, T., Huffels, C. F. M., Luna, M. C., de Sá, R. V., Adolfs, Y., de Wit, M., Rutten, D. H., Kaal, M., et al. (2024) · Acta Neuropathologica Communications · doi:10.1186/s40478-024-01857-1 · Cited by 26
Central nervous system vascularization in human embryos and neural organoids
Boutom, S., Silva, T. P., Palecek, S. P., Shusta, E. V., Fernandes, T. G., & Ashton, R. S. (2024) · Cell Reports · doi:10.1016/j.celrep.2024.115068 · Cited by 26
Dysregulation of mTOR signalling is a converging mechanism in lissencephaly
Zhang, C., Liang, D., Ercan‐Sencicek, A. G., Bulut, A. S., Cortés, J., Cheng, I. Q., Henegariu, O., Nishimura, S., Wang, X., Peksen, A. B., et al. (2025) · Nature · doi:10.1038/s41586-024-08341-9 · Cited by 23
Lin, Z., Wang, W., Liu, R., Li, Q., Lee, J., Hirschler, C., & Jia Liu, B. (2025) · Nature Protocols · doi:10.1038/s41596-025-01147-7 · Cited by 26
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Konstantinides, N., & Desplan, C. (2020) · Development · doi:10.1242/dev.193631 · Cited by 23
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Zhang, W., Li, J., Zhou, J., Rastogi, A., & Ma, S. (2022) · Trends in biotechnology · doi:10.1016/j.tibtech.2022.03.003 · Cited by 23
Pavon, N., Diep, K., Yang, F., Sebastian, R., Martinez-Martin, B., Ranjan, R., Sun, Y., & Pak, C. (2024) · Cell Reports Methods · doi:10.1016/j.crmeth.2023.100689 · Cited by 24
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Marx, V. (2020) · Nature Methods · doi:10.1038/s41592-020-0964-z · Cited by 24
An integrated transcriptomic cell atlas of human neural organoidsPreprint
He, Z., Dony, L., Fleck, J. S., Szałata, A., Li, K. X., Slišković, I., Lin, H., Santel, M., Atamian, A., Quadrato, G., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.10.05.561097 · Cited by 23
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Ulum, B., Elaine, T., & Richard, L. (2023) · At-Tasyrih jurnal pendidikan dan hukum Islam · doi:10.55849/attasyrih.v8i2.142 · Cited by 31
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Jin, Y., Li, F., Li, Z., Ikezu, T. C., O’Leary, J., Selvaraj, M., Zhu, Y., Martens, Y. A., Koga, S., Santhakumar, H., et al. (2024) · Science Advances · doi:10.1126/sciadv.adk3700 · Cited by 26
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Gleeson, J., Madugalle, S. U., Wan, C. Y., McLean, C., Bredy, T. W., Paoli‐Iseppi, R. D., & Clark, M. B. (2025) · Science Advances · doi:10.1126/sciadv.adp0783 · Cited by 25
Advances in 3D neural, vascular and neurovascular models for drug testing and regenerative medicine
Fernandes, D. C., Reis, R. L., & Oliveira, J. M. (2020) · Drug Discovery Today · doi:10.1016/j.drudis.2020.11.009 · Cited by 20
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Wu, W., Yao, H., Dwivedi, I., Negraes, P. D., Zhao, H. W., Wang, J., Trujillo, C. A., Muotri, A. R., & Haddad, G. G. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.593248 · Cited by 22
Esmail, S., & Danter, W. R. (2021) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.643889 · Cited by 22
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Haase, F., Coorey, B., Riley, L. G., Cantrill, L. C., Tam, P., & Gold, W. A. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.698812 · Cited by 22
Seo, Y., Bang, S., Son, J., Kim, D., Jeong, Y., Kim, P., Yang, J.-H., Eom, J.-H., Choi, N., & Kim, H. N. (2021) · Bioactive Materials · doi:10.1016/j.bioactmat.2021.11.009 · Cited by 22
Arthur, P., Muok, L., Nathani, A., Zeng, E. Z., Sun, L. J., Li, Y., & Singh, M. S. (2022) · Cells · doi:10.3390/cells11213429 · Cited by 24
Song, J., Bang, S., Choi, N., & Kim, H. N. (2022) · Biomicrofluidics · doi:10.1063/5.0121476 · Cited by 25
Motosugi, N., Sugiyama, A., Okada, C., Otomo, A., Umezawa, A., Akutsu, H., Hadano, S., & Fukuda, A. (2022) · Cell Reports Methods · doi:10.1016/j.crmeth.2022.100352 · Cited by 22
Chai, Y. C., To, S. K., Simorgh, S., Zaunz, S., Zhu, Y., Ahuja, K., Lemaitre, A., Ramezankhani, R., van der Veer, B. K., Wierda, K. D. B., et al. (2023) · Advanced Science · doi:10.1002/advs.202304421 · Cited by 23
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Li, S., Wang, M., & Zhou, J. (2020) · Biopreservation and Biobanking · doi:10.1089/bio.2019.0111 · Cited by 23
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Castiglione, H., Madrange, L., Baquerre, C., Maisonneuve, B. G. C., Lemonnier, T., Deslys, J., Yates, F., Honegger, T., Rontard, J., & Vigneron, P.-A. (2025) · Scientific Reports · doi:10.1038/s41598-025-14425-x · Cited by 21
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Topologically-protected interior for three-dimensional confluent cellular collectives
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Metadata
- Authors
- Velasco, S., Kedaigle, A. J., Simmons, S. K., Nash, A., Rocha, M., Quadrato, G., Paulsen, B., Nguyen, L., Adiconis, X., Regev, A., Levin, J. Z., & Arlotta, P.
- Affiliations
- Broad Institute (US)
- Corresponding author
- Arlotta, Paola
- ORCID
- Venue
- Nature
- Published
- 2019-06
- Volume
- 570
- Issue
- 7762
- Pages
- 523-527
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC6906116
- OpenAlex
- W2949020598
- Cited by
- 1,094
- References
- 39
- Citations by year
- 2026: 145 · 2025: 156 · 2024: 184 · 2023: 131 · 2022: 148 · 2021: 142 · 2020: 150 · 2019: 35
- FWCI
- 44.71
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Digital Access to Scholarship at Harvard (DASH) (Harvard University) (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- Howard Hughes Medical Institute
- Broad Institute
- Stanley Center for Psychiatric Research, Broad Institute
- Klarman Cell Observatory, Broad Institute
- National Institute of Mental Health (P50MH094271, U01MH115727, R01MH112940)
- Topics
- Life Sciences › Neuroscience › Developmental Neuroscience › Neurogenesis and neuroplasticity mechanisms
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Pluripotent Stem Cells Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
- Keywords
- human brain organoids, cortical development, cell type diversity, dorsal forebrain, stem cell origin, reproducibility, single-cell transcriptomics
- MeSH terms
- RNA-Seq, Cell Line, Cerebral Cortex, Female, Fetus, Humans, Male, Organoids, Time Factors, Reproducibility of Results, Prosencephalon, Tissue Culture Techniques, Induced Pluripotent Stem Cells, Single-Cell Analysis, Transcriptome
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