PreprintCited by 33Neurogenesis and neuroplasticity mechanismsDevelopmental Biology and Gene RegulationRNA and protein synthesis mechanisms

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Integrated transcriptome and proteome analysis in human brain organoids reveals posttranscriptional regulation of ribosomal genes

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Preprint — published as 10.7554/elife.85135

Abstract

During development of the human cerebral cortex, multipotent neural progenitors generate excitatory neurons and glial cells. Investigations of the transcriptome and epigenome have revealed important gene regulatory networks underlying this crucial developmental event. However, the post-transcriptional control of gene expression and protein abundance during human corticogenesis remains poorly understood. We addressed this issue by using human telencephalic brain organoids grown using a dual reporter cell line to isolate neural progenitors and neurons and performed cell class and developmental stage-specific transcriptome and proteome analysis. Integrating the two datasets revealed modules of gene expression during human corticogenesis. Investigation of one such module uncovered mTOR-mediated regulation of translation of the 5’TOP element-enriched translation machinery in early progenitor cells. We show that in early progenitors partial inhibition of the translation of ribosomal genes prevents precocious translation of differentiation markers. Overall, our multiomics approach reveals novel posttranscriptional regulatory mechanisms crucial for the fidelity of cortical development.

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Cites

  • Global quantification of mammalian gene expression control

    Schwanhäusser, B., Busse, D., Li, N., Dittmar, G., Schuchhardt, J., Wolf, J., Chen, W., & Selbach, M. (2011) · Nature · doi:10.1038/nature10098 · Cited by 6,566 · cited 3×

    “Inspired by the iBAQ algorithm ( Schwanhäusser et al., 2011 ), protein abundances were normalized by dividing summarized reporter intensities by the number of theoretically observable tryptic peptides with a length between 7 and 30 amino acids.”
    Influential

Flagged first, then by citations

Research works printed but not linked: 71

  1. 10.1038/s41467-017-00867-z · DOI
  2. Andrews, M.G. , Subramanian, L. , and Kriegstein, A.R. (2020). mTOR signaling regulates the morphology and migration of outer radial glia in developing human cortex. Biorxiv 27, 2020.05.14.095117. · DOI
  3. 10.1038/nmeth.4304 · DOI · Paper page
  4. 10.1371/journal.pgen.1003529 · DOI · Paper page
  5. 10.1038/s41586-019-0888-x · DOI
  6. 10.1016/j.cell.2021.02.050 · DOI
  7. 10.1038/nmeth.4074 · DOI
  8. 10.1016/j.celrep.2017.10.095 · DOI
  9. 10.1038/s41591-018-0139-y · DOI
  10. 10.1556/AMicr.58.2011.1. · DOI
  11. 2019, Development and Arealization of the Cerebral Cortex, Neuron, 103, 980, 10.1016/j.neuron.2019.07.009 · DOI · Paper page
  12. 10.7554/eLife.36998 · DOI
  13. 10.1038/nmeth.1593 · DOI · Paper page
  14. 2020, TOP mRNPs: Molecular Mechanisms and Principles of Regulation, Biomol, 10, 969
  15. 2016, The mTOR signalling cascade: paving new roads to cure neurological disease, Nature Reviews. Neurology, 12, 379, 10.1038/nrneurol.2016.81 · DOI · Paper page
  16. 10.1101/gad.17355911 · DOI
  17. 2017, Spatiotemporal Proteomic Profiling of Human Cerebral Development, Molecular Cellular Proteomics, 16, 1548, 10.1074/mcp.M116.066274 · DOI
  18. 10.1021/pr500202e · DOI
  19. 10.1093/nar/30.1.207 · DOI · Paper page
  20. 10.1126/science.abb5390 · DOI · Paper page
  21. 10.1038/s41593-020-00794-1 · DOI · Paper page
  22. 2016, Tunable protein synthesis by transcript isoforms in human cells, Elife, 5, 1276
  23. 2014, The ever-evolving role of mTOR in translation, Seminars in Cell and Developmental Biology, 36, 102, 10.1016/j.semcdb.2014.09.014 · DOI
  24. 10.1038/nrn3586 · DOI · Paper page
  25. Hagemann-Jensen, M. , Ziegenhain, C. , Chen, P. , Ramsköld, D. , Hendriks, G.-J. , Larsson, A.J.M. , Faridani, O.R. , and Sandberg, R. (2020). Smart-seq3 Protocol v3. · DOI
  26. Harnett, D. , Ambrozkiewicz, M.C. , Zinnall, U. , Rusanova, A. , Borisova, E. , Dannenberg, R. , Imami, K. , Münster-Wandowski, A. , Fauler, B. , Mielke, T. , et al. (2021). A critical period of translational control during brain development at codon resolution. Biorxiv 2021.06.23.449626. · DOI · Paper page
  27. 2020, Lineage recording in human cerebral organoids, Nat Methods, 19, 90
  28. 10.1038/nbt.1927 · DOI
  29. 2020, ScienceDirect Decoding mixed messages in the developing cortex: translational regulation of neural progenitor fate, Current Opinion in Neurobiology, 66, 93
  30. 10.1016/j.conb.2021.05.003 · DOI
  31. 10.1038/nmeth1113 · DOI · Paper page
  32. 10.1038/nature13302 · DOI · Paper page
  33. 10.1371/journal.pone.0023238 · DOI
  34. 10.1016/j.celrep.2020.108064 · DOI
  35. 10.1016/j.devcel.2015.11.005 · DOI · Paper page
  36. 10.1038/nbt.3906 · DOI · Paper page
  37. 10.1016/j.neuron.2015.11.025 · DOI · Paper page
  38. 2017, RNA on the brain: emerging layers of post-transcriptional regulation in cerebral cortex development, Wiley Interdisciplinary Reviews: Developmental Biology, 7, e290
  39. 10.1186/1748-7188-6-26 · DOI · Paper page
  40. 10.1093/nar/25.18.3564 · DOI
  41. 10.1016/j.cell.2017.12.032 · DOI
  42. 2022, A translation control module coordinates germline stem cell differentiation with ribosome biogenesis during Drosophila oogenesis, Dev Cell, 57, 883, 10.1016/j.devcel.2022.03.005 · DOI
  43. 2021, A eutherian-specific microRNA controls the translation of Satb2 in a model of cortical differentiation, Stem Cell Rep, 16, 1496, 10.1016/j.stemcr.2021.04.020 · DOI
  44. 10.1016/j.sbi.2006.05.010 · DOI
  45. 2018, Cerebral organoid proteomics reveals signatures of dysregulated cortical development associated with human trisomy 21, 9, 181
  46. 2022, Regionally defined proteomic profiles of human cerebral tissue and organoids reveal conserved molecular modules of neurodevelopment, Cell Reports, 39, 110846, 10.1016/j.celrep.2022.110846 · DOI
  47. 2015, The race to decipher the top secrets of TOP mRNAs, BBA - Gene Regulatory Mechanisms, 1849, 801
  48. 2019, Human Cerebral Organoids and Fetal Brain Tissue Share Proteomic Similarities, Frontiers in Cell and Developmental Biology, 7, 303, 10.3389/fcell.2019.00303 · DOI
  49. 10.1093/bioinformatics/btu333 · DOI
  50. 2019, Emerging Evidence of Translational Control by AU-Rich Element-Binding Proteins, Frontiers Genetics, 10, 332, 10.3389/fgene.2019.00332 · DOI
  51. 2018, zUMIs - A fast and flexible pipeline to process RNA sequencing data with UMIs, Gigascience, 7, giy059.
  52. 10.1016/j.molcel.2016.04.007 · DOI · Paper page
  53. 2019, Human 3D cellular model of hypoxic brain injury of prematurity, Nat Med, 25, 784, 10.1038/s41591-019-0436-0 · DOI · Paper page
  54. 2021, The PRIDE database resources in 2022: a hub for mass spectrometry-based proteomics evidences, Nucleic Acids Res, 50, D543
  55. 10.1073/pnas.1912864117 · DOI
  56. 2019, A Single-Cell Transcriptomic Atlas of Human Neocortical Development during Mid-gestation, Neuron, 103, 785, 10.1016/j.neuron.2019.06.011 · DOI · Paper page
  57. 10.1038/nprot.2013.143 · DOI · Paper page
  58. 10.1038/nmeth.2019 · DOI · Paper page
  59. 10.1016/j.tig.2014.12.004 · DOI · Paper page
  60. 10.1016/j.cell.2019.05.031 · DOI · Paper page
  61. 10.1016/j.neuroscience.2016.11.017 · DOI
  62. 10.1021/pr200611n · DOI
  63. 2020, Transcriptional Regulators and Human-Specific/Primate-Specific Genes in Neocortical Neurogenesis, International Journal of Molecular Sciences, 21, 4614, 10.3390/ijms21134614 · DOI
  64. 0000-0001-5093-5945, M.A.O, 2020, Deciphering the Proteome Dynamics during Development of Neurons Derived from Induced Pluripotent Stem Cells, Journal of Proteome Research, 19, 2391, 10.1021/acs.jproteome.0c00070 · DOI
  65. 2022, Intracellular energy controls dynamics of stress-induced ribonucleoprotein granules, Nat Commun, 13, 5584, 10.1038/s41467-022-33079-1 · DOI
  66. 10.1016/j.molcel.2018.12.006 · DOI
  67. 10.1093/nar/gkn248 · DOI
  68. 10.1016/j.neuron.2014.10.022 · DOI · Paper page
  69. 2012, clusterProfiler: an R Package for Comparing Biological Themes Among Gene Clusters, Omics J Integr Biology, 16, 284, 10.1089/omi.2011.0118 · DOI · Paper page
  70. 10.1016/j.neuron.2017.12.045 · DOI
  71. Zahr, S.K. , Kaplan, D.R. , and Miller, F.D. (2019). Translating neural stem cells to neurons in the mammalian brain. Cell Death Differentiation 1–18. · DOI

Metadata

Authors
Sidhaye, J., Trepte, P., Sepke, N., Novatchkova, M., Schutzbier, M., Dürnberger, G., Mechtler, K., & Knoblich, J. A.
Affiliations
Institute of Molecular Biotechnology (AT)
Venue
eLife
Publisher
openRxiv
Published
2022-10-07
Volume
12
ISSN
2050-084X (ISSN-L)
OpenAlex
W4361196629
Cited by
33
References
1
Citations by year
2026: 9 · 2025: 7 · 2024: 11 · 2023: 5 · 2022: 1
FWCI
3.73
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • eLife (publishedVersion, cc-by)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • European Molecular Biology Organization (EMBO long term fellowship (EMBO ALTF 794-2018))
  • Vienna Science and Technology Fund (project LS20-079)
  • Österreichischen Akademie der Wissenschaften
  • Austrian Science Fund (P35045-B, P33380 (FB), ERA-CAPS I 3686, P32054 (FB))
  • Bundesministerium für Bildung, Wissenschaft und Forschung
  • Horizon 2020 Framework Programme (Project Number 823839, EPIC-XS project number 823839, European Research Council (ERC) Advanced Grant (no. 695642 and no. 874769))
Topics
  • Life Sciences › Neuroscience › Developmental Neuroscience › Neurogenesis and neuroplasticity mechanisms
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Developmental Biology and Gene Regulation
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA and protein synthesis mechanisms
Keywords
post-transcriptional regulation, ribosomal genes, human brain organoids, cortical development, neural progenitor cells, mTOR signaling, translational regulation, transcriptome-proteome integration, neuronal differentiation
MeSH terms
Brain, Humans, Organoids, Proteome, Neurogenesis, Transcriptome

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