dc.contributor.author
Ulicevic, Jelena
dc.contributor.author
Shao, Zhihao
dc.contributor.author
Jasnovidova, Olga
dc.contributor.author
Bressin, Annkatrin
dc.contributor.author
Gajos, Martyna
dc.contributor.author
Ng, Alex HM
dc.contributor.author
Annaldasula, Siddharth
dc.contributor.author
Meierhofer, David
dc.contributor.author
Church, George M
dc.contributor.author
Busskamp, Volker
dc.contributor.author
Mayer, Andreas
dc.date.accessioned
2025-01-29T11:18:40Z
dc.date.available
2025-01-29T11:18:40Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/46420
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-46133
dc.description.abstract
Static gene expression programs have been extensively characterized in stem cells and mature human cells. However, the dynamics of RNA isoform changes upon cell-state-transitions during cell differentiation, the determinants and functional consequences have largely remained unclear. Here, we established an improved model for human neurogenesis in vitro that is amenable for systems-wide analyses of gene expression. Our multi-omics analysis reveals that the pronounced alterations in cell morphology correlate strongly with widespread changes in RNA isoform expression. Our approach identifies thousands of new RNA isoforms that are expressed at distinct differentiation stages. RNA isoforms mainly arise from exon skipping and the alternative usage of transcription start and polyadenylation sites during human neurogenesis. The transcript isoform changes can remodel the identity and functions of protein isoforms. Finally, our study identifies a set of RNA binding proteins as a potential determinant of differentiation stage-specific global isoform changes. This work supports the view of regulated isoform changes that underlie state-transitions during neurogenesis.
en
dc.format.extent
32 Seiten
dc.rights
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the data associated with this article, unless otherwise stated in a credit line to the data, but does not extend to the graphical or creative elements of illustrations, charts, or figures. This waiver removes legal barriers to the re-use and mining of research data. According to standard scholarly practice, it is recommended to provide appropriate citation and attribution whenever technically possible.
dc.rights.uri
https://creativecommons.org/licenses/by/4.0/
dc.subject
Cell Differentiation
en
dc.subject
Gene Expression
en
dc.subject
Nanopore Sequencing
en
dc.subject
RNA Isoforms
en
dc.subject.ddc
500 Naturwissenschaften und Mathematik::570 Biowissenschaften; Biologie::570 Biowissenschaften; Biologie
dc.title
Uncovering the dynamics and consequences of RNA isoform changes during neuronal differentiation
dc.type
Wissenschaftlicher Artikel
dc.date.updated
2025-01-28T13:40:44Z
dcterms.bibliographicCitation.doi
10.1038/s44320-024-00039-4
dcterms.bibliographicCitation.journaltitle
Molecular Systems Biology
dcterms.bibliographicCitation.number
7
dcterms.bibliographicCitation.pagestart
767
dcterms.bibliographicCitation.pageend
798
dcterms.bibliographicCitation.volume
20
dcterms.bibliographicCitation.url
https://doi.org/10.1038/s44320-024-00039-4
refubium.affiliation
Biologie, Chemie, Pharmazie
refubium.affiliation
Mathematik und Informatik
refubium.resourceType.isindependentpub
no
dcterms.accessRights.openaire
open access
dcterms.isPartOf.eissn
1744-4292
refubium.resourceType.provider
DeepGreen