Temporal and sequential transcriptional dynamics define lineage shifts in corticogenesis Article Swipe
Tanzila Mukhtar
,
Jérémie Breda
,
Marcelo Boareto
,
Pascal Grobecker
,
Zahra Karimaddini
,
Alice Grison
,
Katja Eschbach
,
Chandrasekhar Ramakrishnan
,
Swen Vermeul
,
Michał Okoniewski
,
Mikhail Pachkov
,
Suzana Atanasoski
,
Christian Beisel
,
Dagmar Iber
,
Erik van Nimwegen
,
Verdon Taylor
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1101/2022.02.10.479992
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1101/2022.02.10.479992
The cerebral cortex contains billions of neurons, and their disorganization or misspecification leads to neurodevelopmental disorders. Understanding how the plethora of projection neuron subtypes are generated by cortical neural stem cells (NSCs) is a major challenge. Here, we focused on elucidating the transcriptional landscape of murine embryonic NSCs, basal progenitors (BPs) and newborn neurons (NBNs) throughout cortical development. We uncover dynamic shifts in transcriptional space over time, and heterogeneity within each progenitor population. We identified signature hallmarks of NSC, BP and NBN clusters, and predict active transcriptional nodes and networks that contribute to neural fate specification. We find that the expression of receptors, ligands and downstream pathway components is highly dynamic over time and throughout the lineage implying differential responsiveness to signals. Thus, we provide an expansive compendium of gene expression during cortical development that will be an invaluable resource for studying neural developmental processes and neurodevelopmental disorders.
Related Topics
Concepts
Corticogenesis
Neuroscience
Biology
Neural stem cell
Progenitor
Lineage (genetic)
Progenitor cell
Population
Gene
Stem cell
Genetics
Medicine
Environmental health
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1101/2022.02.10.479992
- https://www.biorxiv.org/content/biorxiv/early/2022/02/11/2022.02.10.479992.full.pdf
- OA Status
- green
- Cited By
- 2
- References
- 90
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4210987630
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4210987630Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1101/2022.02.10.479992Digital Object Identifier
- Title
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Temporal and sequential transcriptional dynamics define lineage shifts in corticogenesisWork title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2022Year of publication
- Publication date
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2022-02-11Full publication date if available
- Authors
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Tanzila Mukhtar, Jérémie Breda, Marcelo Boareto, Pascal Grobecker, Zahra Karimaddini, Alice Grison, Katja Eschbach, Chandrasekhar Ramakrishnan, Swen Vermeul, Michał Okoniewski, Mikhail Pachkov, Suzana Atanasoski, Christian Beisel, Dagmar Iber, Erik van Nimwegen, Verdon TaylorList of authors in order
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https://doi.org/10.1101/2022.02.10.479992Publisher landing page
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https://www.biorxiv.org/content/biorxiv/early/2022/02/11/2022.02.10.479992.full.pdfDirect link to full text PDF
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YesWhether a free full text is available
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greenOpen access status per OpenAlex
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https://www.biorxiv.org/content/biorxiv/early/2022/02/11/2022.02.10.479992.full.pdfDirect OA link when available
- Concepts
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Corticogenesis, Neuroscience, Biology, Neural stem cell, Progenitor, Lineage (genetic), Progenitor cell, Population, Gene, Stem cell, Genetics, Medicine, Environmental healthTop concepts (fields/topics) attached by OpenAlex
- Cited by
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2Total citation count in OpenAlex
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2025: 1, 2022: 1Per-year citation counts (last 5 years)
- References (count)
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90Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.pathway | 107 |
| abstract_inverted_index.predict | 85 |
| abstract_inverted_index.provide | 125 |
| abstract_inverted_index.uncover | 60 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.billions | 5 |
| abstract_inverted_index.cerebral | 2 |
| abstract_inverted_index.contains | 4 |
| abstract_inverted_index.cortical | 28, 57, 133 |
| abstract_inverted_index.implying | 118 |
| abstract_inverted_index.networks | 90 |
| abstract_inverted_index.neurons, | 7 |
| abstract_inverted_index.plethora | 20 |
| abstract_inverted_index.resource | 140 |
| abstract_inverted_index.signals. | 122 |
| abstract_inverted_index.studying | 142 |
| abstract_inverted_index.subtypes | 24 |
| abstract_inverted_index.clusters, | 83 |
| abstract_inverted_index.embryonic | 47 |
| abstract_inverted_index.expansive | 127 |
| abstract_inverted_index.generated | 26 |
| abstract_inverted_index.hallmarks | 77 |
| abstract_inverted_index.landscape | 44 |
| abstract_inverted_index.processes | 145 |
| abstract_inverted_index.signature | 76 |
| abstract_inverted_index.challenge. | 36 |
| abstract_inverted_index.compendium | 128 |
| abstract_inverted_index.components | 108 |
| abstract_inverted_index.contribute | 92 |
| abstract_inverted_index.disorders. | 16, 148 |
| abstract_inverted_index.downstream | 106 |
| abstract_inverted_index.expression | 101, 131 |
| abstract_inverted_index.identified | 75 |
| abstract_inverted_index.invaluable | 139 |
| abstract_inverted_index.progenitor | 72 |
| abstract_inverted_index.projection | 22 |
| abstract_inverted_index.receptors, | 103 |
| abstract_inverted_index.throughout | 56, 115 |
| abstract_inverted_index.development | 134 |
| abstract_inverted_index.elucidating | 41 |
| abstract_inverted_index.population. | 73 |
| abstract_inverted_index.progenitors | 50 |
| abstract_inverted_index.development. | 58 |
| abstract_inverted_index.differential | 119 |
| abstract_inverted_index.Understanding | 17 |
| abstract_inverted_index.developmental | 144 |
| abstract_inverted_index.heterogeneity | 69 |
| abstract_inverted_index.responsiveness | 120 |
| abstract_inverted_index.specification. | 96 |
| abstract_inverted_index.disorganization | 10 |
| abstract_inverted_index.transcriptional | 43, 64, 87 |
| abstract_inverted_index.misspecification | 12 |
| abstract_inverted_index.neurodevelopmental | 15, 147 |
| cited_by_percentile_year.max | 95 |
| cited_by_percentile_year.min | 89 |
| corresponding_author_ids | https://openalex.org/A5017960972, https://openalex.org/A5058650953, https://openalex.org/A5067298115, https://openalex.org/A5000913635 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 16 |
| corresponding_institution_ids | https://openalex.org/I12708293, https://openalex.org/I1850255, https://openalex.org/I35440088 |
| citation_normalized_percentile.value | 0.47966678 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |