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Modular derivation of diverse, regionally discrete human posterior CNS neurons enables discovery of transcriptomic patterns
Our inability to derive the neuronal diversity that comprises the posterior central nervous system (pCNS) using human pluripotent stem cells (hPSCs) poses an impediment to understanding human neurodevelopment and disease in the hindbrain and spinal cord. Here, we establish a modular, monolayer diffe...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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American Association for the Advancement of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9524835/ https://www.ncbi.nlm.nih.gov/pubmed/36179024 http://dx.doi.org/10.1126/sciadv.abn7430 |
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author | Iyer, Nisha R. Shin, Junha Cuskey, Stephanie Tian, Yucheng Nicol, Noah R. Doersch, Tessa E. Seipel, Frank McCalla, Sunnie Grace Roy, Sushmita Ashton, Randolph S. |
author_facet | Iyer, Nisha R. Shin, Junha Cuskey, Stephanie Tian, Yucheng Nicol, Noah R. Doersch, Tessa E. Seipel, Frank McCalla, Sunnie Grace Roy, Sushmita Ashton, Randolph S. |
author_sort | Iyer, Nisha R. |
collection | PubMed |
description | Our inability to derive the neuronal diversity that comprises the posterior central nervous system (pCNS) using human pluripotent stem cells (hPSCs) poses an impediment to understanding human neurodevelopment and disease in the hindbrain and spinal cord. Here, we establish a modular, monolayer differentiation paradigm that recapitulates both rostrocaudal (R/C) and dorsoventral (D/V) patterning, enabling derivation of diverse pCNS neurons with discrete regional specificity. First, neuromesodermal progenitors (NMPs) with discrete HOX profiles are converted to pCNS progenitors (pCNSPs). Then, by tuning D/V signaling, pCNSPs are directed to locomotor or somatosensory neurons. Expansive single-cell RNA-sequencing (scRNA-seq) analysis coupled with a novel computational pipeline allowed us to detect hundreds of transcriptional markers within region-specific phenotypes, enabling discovery of gene expression patterns across R/C and D/V developmental axes. These findings highlight the potential of these resources to advance a mechanistic understanding of pCNS development, enhance in vitro models, and inform therapeutic strategies. |
format | Online Article Text |
id | pubmed-9524835 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-95248352022-10-13 Modular derivation of diverse, regionally discrete human posterior CNS neurons enables discovery of transcriptomic patterns Iyer, Nisha R. Shin, Junha Cuskey, Stephanie Tian, Yucheng Nicol, Noah R. Doersch, Tessa E. Seipel, Frank McCalla, Sunnie Grace Roy, Sushmita Ashton, Randolph S. Sci Adv Biomedicine and Life Sciences Our inability to derive the neuronal diversity that comprises the posterior central nervous system (pCNS) using human pluripotent stem cells (hPSCs) poses an impediment to understanding human neurodevelopment and disease in the hindbrain and spinal cord. Here, we establish a modular, monolayer differentiation paradigm that recapitulates both rostrocaudal (R/C) and dorsoventral (D/V) patterning, enabling derivation of diverse pCNS neurons with discrete regional specificity. First, neuromesodermal progenitors (NMPs) with discrete HOX profiles are converted to pCNS progenitors (pCNSPs). Then, by tuning D/V signaling, pCNSPs are directed to locomotor or somatosensory neurons. Expansive single-cell RNA-sequencing (scRNA-seq) analysis coupled with a novel computational pipeline allowed us to detect hundreds of transcriptional markers within region-specific phenotypes, enabling discovery of gene expression patterns across R/C and D/V developmental axes. These findings highlight the potential of these resources to advance a mechanistic understanding of pCNS development, enhance in vitro models, and inform therapeutic strategies. American Association for the Advancement of Science 2022-09-30 /pmc/articles/PMC9524835/ /pubmed/36179024 http://dx.doi.org/10.1126/sciadv.abn7430 Text en Copyright © 2022 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (https://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited. |
spellingShingle | Biomedicine and Life Sciences Iyer, Nisha R. Shin, Junha Cuskey, Stephanie Tian, Yucheng Nicol, Noah R. Doersch, Tessa E. Seipel, Frank McCalla, Sunnie Grace Roy, Sushmita Ashton, Randolph S. Modular derivation of diverse, regionally discrete human posterior CNS neurons enables discovery of transcriptomic patterns |
title | Modular derivation of diverse, regionally discrete human posterior CNS neurons enables discovery of transcriptomic patterns |
title_full | Modular derivation of diverse, regionally discrete human posterior CNS neurons enables discovery of transcriptomic patterns |
title_fullStr | Modular derivation of diverse, regionally discrete human posterior CNS neurons enables discovery of transcriptomic patterns |
title_full_unstemmed | Modular derivation of diverse, regionally discrete human posterior CNS neurons enables discovery of transcriptomic patterns |
title_short | Modular derivation of diverse, regionally discrete human posterior CNS neurons enables discovery of transcriptomic patterns |
title_sort | modular derivation of diverse, regionally discrete human posterior cns neurons enables discovery of transcriptomic patterns |
topic | Biomedicine and Life Sciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9524835/ https://www.ncbi.nlm.nih.gov/pubmed/36179024 http://dx.doi.org/10.1126/sciadv.abn7430 |
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