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| Verfasst von: | Marot-Lassauzaie, Valérie [VerfasserIn]  |
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| | Bouman, Brigitte J. [VerfasserIn] |
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| | Donaghy, Fearghal Declan [VerfasserIn] |
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| | Demerdash, Yasmin [VerfasserIn] |
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| | Essers, Marieke [VerfasserIn] |
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| | Haghverdi, Laleh [VerfasserIn] |
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| Titel: | Towards reliable quantification of cell state velocities |
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| Verf.angabe: | Valérie Marot-Lassauzaie, Brigitte Joanne Bouman, Fearghal Declan Donaghy, Yasmin Demerdash, Marieke Alida Gertruda Essers, Laleh Haghverdi |
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| E-Jahr: | 2022 |
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| Jahr: | September 28, 2022 |
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| Umfang: | 27 S. |
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| Fussnoten: | Gesehen am 21.03.2023 |
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| Titel Quelle: | Enthalten in: Public Library of SciencePLoS Computational Biology |
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| Ort Quelle: | San Francisco, Calif. : Public Library of Science, 2005 |
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| Jahr Quelle: | 2022 |
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| Band/Heft Quelle: | 18(2022), 9, Artikel-ID e1010031, Seite 1-27 |
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| ISSN Quelle: | 1553-7358 |
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| Abstract: | A few years ago, it was proposed to use the simultaneous quantification of unspliced and spliced messenger RNA (mRNA) to add a temporal dimension to high-throughput snapshots of single cell RNA sequencing data. This concept can yield additional insight into the transcriptional dynamics of the biological systems under study. However, current methods for inferring cell state velocities from such data (known as RNA velocities) are afflicted by several theoretical and computational problems, hindering realistic and reliable velocity estimation. We discuss these issues and propose new solutions for addressing some of the current challenges in consistency of data processing, velocity inference and visualisation. We translate our computational conclusion in two velocity analysis tools: one detailed method κ-velo and one heuristic method eco-velo, each of which uses a different set of assumptions about the data. |
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| DOI: | doi:10.1371/journal.pcbi.1010031 |
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| URL: | Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.
Volltext: https://doi.org/10.1371/journal.pcbi.1010031 |
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| | Volltext: https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1010031 |
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| | DOI: https://doi.org/10.1371/journal.pcbi.1010031 |
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| Datenträger: | Online-Ressource |
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| Sprache: | eng |
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| Sach-SW: | Cell differentiation |
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| | Data visualization |
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| | Hematopoietic stem cells |
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| | Pancreas |
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| | Principal component analysis |
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| | Stem cells |
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| | Vector spaces |
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| | Velocity |
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| K10plus-PPN: | 1839679492 |
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| Verknüpfungen: | → Zeitschrift |
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Towards reliable quantification of cell state velocities / Marot-Lassauzaie, Valérie [VerfasserIn]; September 28, 2022 (Online-Ressource)
