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Integrated Manufacturing Platform for Cortical Organoids Reveals Early Phosphatase and Prefoldin Dysregulation in MAPT V337M Neurons

Bertucci, Taylor, Bowles, Kathryn R., Lotz, Steven, Bheda, Shiraz, Qi, Le, Farjood, Farhad, Whitton, Katherine, Goderie, Susan K., Borden, Susan, Rossi, Amelia, Tubbesing, Kate, Pedicone, Chiara, Oja, Laura Maria, Lane, Keith, Lotz, Ryan, Lotz, Hailey, Huber, Jack, Chowdhury, Rebecca, Joy, Shona, Miller, Michael, Butler, David C., Arduini, Brigitte L., Murray, Heide F B, Sandhof, Carl Alexander, Silva, M. Catarina, Haggarty, Stephen J., Dony, Leander, Theis, Fabian J., Treutlein, Barbara, Karch, Celeste M., Geschwind, Daniel H., Goate, Alison M., Stern, Jeffrey, Temple, Sally·2023

Abstract

Summary: Human pluripotent stem cell (hPSC)-derived cortical organoids are powerful models but are often limited by low efficiency, variability, and stress-related artifacts. To address these challenges, we developed a scalable organoid platform with end-to-end quality control (QC) metrics spanning manufacturing and single-cell RNA-sequencing (scRNA-seq), developed using eight MAPT mutation isogenic line sets relevant to frontotemporal dementia (FTD-tau). Using a 96 slit-well format, we achieved ∼100% production efficiency across 64 lines. Controlled-release FGF2 enhanced iPSC pluripotency and reduced mesendodermal contaminants, while optimized SB431542 dosing enhanced cortical patterning across lines with variable TGFBR1/ALK5 expression. The resulting organoids displayed transcriptomic profiles and low-stress signatures closely aligned with the developing human cortex. Applying a cortical organoid scRNA-seq index (CortiCOSI), we identified early dysregulation of phosphatase regulators ( PPP2CA, ANP32A ) and the prefoldin subunit PFDN6 in MAPT V337M excitatory neurons before tau hyperphosphorylation and oligomerization. This platform improves scalability, reproducibility, and mechanistic insight in cortical organoid studies.

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  1. 10.1016/j.conb.2019.03.001 · DOI
  2. 10.1016/j.cell.2022.09.010 · DOI
  3. 10.1016/j.stemcr.2022.08.013 · DOI
  4. 10.1038/s41593-019-0350-2 · DOI · Paper page
  5. 10.1093/brain/awab479 · DOI
  6. 10.1016/j.stem.2016.03.003 · DOI · Paper page
  7. 10.1038/nbt.4127 · DOI · Paper page
  8. 10.1038/s41593-020-00794-1 · DOI · Paper page
  9. 10.1038/s41586-021-03620-1 · DOI
  10. 10.1073/pnas.1520760112 · DOI · Paper page
  11. 10.1126/science.aat6720 · DOI
  12. 10.1038/s41593-021-00802-y · DOI
  13. 10.1016/j.stemcr.2022.07.011 · DOI · Paper page
  14. 10.1038/s41582-022-00723-9 · DOI
  15. 10.1016/j.biopsych.2022.11.017 · DOI
  16. 10.1038/s41380-022-01708-2 · DOI
  17. 10.1016/j.biopsych.2022.12.015 · DOI
  18. 10.1007/s13238-019-0638-8 · DOI
  19. 10.1016/j.cell.2021.10.003 · DOI
  20. 10.3389/fcell.2020.590119 · DOI
  21. 10.1038/nrn.2017.107 · DOI · Paper page
  22. 10.1016/j.molmed.2023.05.007 · DOI
  23. 10.1016/j.neuron.2020.09.001 · DOI
  24. 10.1016/j.semcdb.2020.05.012 · DOI
  25. 10.1038/s41398-022-02274-5 · DOI · Paper page
  26. 10.1016/j.mcn.2020.103553 · DOI
  27. 10.1038/nrc.2016.112 · DOI
  28. 10.1186/s13024-021-00476-x · DOI
  29. 10.1111/nan.12213 · DOI
  30. 10.1016/B978-0-444-64076-5.00027-2 · DOI
  31. 10.1038/s41374-019-0197-x · DOI · Paper page
  32. 10.1016/j.stemcr.2019.09.006 · DOI · Paper page
  33. 10.1038/nmeth.4362 · DOI
  34. 10.1038/s41586-019-1654-9 · DOI · Paper page
  35. 10.1038/s41586-020-1962-0 · DOI · Paper page
  36. 10.1016/j.celrep.2020.01.038 · DOI
  37. 10.1016/j.stem.2016.06.019 · DOI · Paper page
  38. 10.1016/j.gde.2017.07.004 · DOI · Paper page
  39. 10.1038/nprot.2014.158 · DOI · Paper page
  40. 10.3389/fncel.2023.1114420 · DOI
  41. 10.1371/journal.pone.0056289 · DOI
  42. 10.1002/stem.1021 · DOI
  43. 10.3389/fcell.2020.00079 · DOI
  44. 10.1016/j.yjsbx.2024.100112 · DOI
  45. 10.3389/fcell.2019.00331 · DOI
  46. 10.1002/9780470151808.sc01c02s2 · DOI
  47. 10.1038/nature10523 · DOI · Paper page
  48. 10.1038/s41586-024-08172-8 · DOI
  49. 10.1126/science.adf1226 · DOI
  50. 10.15252/embj.2022111118 · DOI
  51. 10.1093/hmg/ddag003 · DOI
  52. 10.1136/jmedgenet-2019-106193 · DOI
  53. 10.2174/156720511795563764 · DOI
  54. 10.1074/jbc.RA119.009432 · DOI · Paper page
  55. 10.1111/j.1460-9568.2005.04391.x · DOI · Paper page
  56. 10.1016/S0896-6273(00)80250-0 · DOI
  57. 10.1212/WNL.0000000000003636 · DOI · Paper page
  58. 10.1186/s13578-020-00446-8 · DOI
  59. 10.1074/jbc.M113.477984 · DOI
  60. 10.1038/s41598-026-40503-9 · DOI
  61. 10.1089/scd.2016.0099 · DOI
  62. 10.1038/s41598-023-51082-4 · DOI
  63. 10.1016/j.celrep.2020.107732 · DOI
  64. 10.1093/humupd/dmx042 · DOI
  65. 10.1016/j.cell.2018.03.051 · DOI · Paper page
  66. 10.1016/j.stem.2017.07.007 · DOI
  67. 10.1038/s41586-024-07578-8 · DOI
  68. 10.1038/s41556-022-00929-5 · DOI · Paper page
  69. 10.1016/j.stem.2023.09.003 · DOI
  70. 10.1016/j.stem.2013.11.006 · DOI · Paper page
  71. 10.1016/j.stem.2015.05.004 · DOI
  72. 10.1016/j.stem.2023.01.010 · DOI · Paper page
  73. 10.1038/s41592-024-02555-5 · DOI
  74. 10.4155/fmc.11.47 · DOI
  75. 10.7554/eLife.104691 · DOI
  76. 10.1002/pmic.70018 · DOI
  77. 10.1038/s41586-024-08172-8 · DOI
  78. 10.1126/science.adf1226 · DOI
  79. 10.1073/pnas.1520760112 · DOI · Paper page
  80. 10.1038/s41593-020-00794-1 · DOI · Paper page

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Metadata

Authors
Bertucci, T., Bowles, K. R., Lotz, S., Bheda, S., Qi, L., Farjood, F., Whitton, K., Goderie, S. K., Borden, S., Rossi, A., Tubbesing, K., Pedicone, C., Oja, L. M., Lane, K., Lotz, R., Lotz, H., Huber, J., Chowdhury, R., Joy, S., Miller, M., Butler, D. C., Arduini, B. L., Murray, H. F. B., Sandhof, C. A., Silva, M. C., Haggarty, S. J., Dony, L., Theis, F. J., Treutlein, B., Karch, C. M., Geschwind, D. H., Goate, A. M., Stern, J., & Temple, S.
Affiliations
  • Neural Stem Cell Institute, 150 New Scotland Avenue, Albany, NY 12208
  • UK Dementia Research Institute at the University of Edinburgh, Edinburgh Bioquarter, Edinburgh, UK, EH16 4SB
  • Program in Neurogenetics, Department of Neurology, and Department of Human Genetics David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
  • Dipatrimento di Neuroscienze sperimentali, IRCCS Azienda ospedaliera metropolitana, Policlinico San Martino, Genova, Italy
  • Dept. of Genetics & Genomic Sciences, Ronald M. Loeb Center for Alzheimer’s disease, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, New York, NY 10029
  • Department of Neurology, Chemical Neurobiology Laboratory, Center for Genomic Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, 02114, USA
  • Institute of Computational Biology, Computational Health Center, Helmholtz Munich, Neuherberg, Germany
  • Department of Biosystems Science and Engineering, ETH Zürich, Basel, Switzerland
  • Department of Psychiatry, Knight Alzheimer Disease Research Center, Washington University in St Louis, St Louis, MO, USA
Publisher
openRxiv
Published
2023-07-11
Cited by
22
References
14
Type
Preprint
Funders
  • NIH (R35NS097277, U01AG072464, 1R01NS142335, RF1NS123568, U54NS123746, U19AG069701)
  • The Rainwater Charitable Foundation and the Tau Consortium
  • Association for Frontotemporal Degeneration
  • BrightFocus Foundation
  • UK Dementia Research Institute [UKDRI-4211] through UK DRI Ltd, principally funded by the Medical Research Council
  • Massachusetts Center for Alzheimer’s Therapeutics Science

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