| Online-Ressource |
Verfasst von: | Scheuermann, Stefan [VerfasserIn]  |
| Hücker, Sarah [VerfasserIn]  |
| Engel, Annika [VerfasserIn]  |
| Ludwig, Nicole [VerfasserIn]  |
| Lebhardt, Philipp [VerfasserIn]  |
| Langejürgen, Jens [VerfasserIn]  |
| Kirsch, Stefan [VerfasserIn]  |
Titel: | A novel approach to generate enzyme-free single cell suspensions from archived tissues for miRNA sequencing |
Verf.angabe: | Stefan Scheuermann, Sarah Hücker, Annika Engel, Nicole Ludwig, Philipp Lebhardt, Jens Langejürgen, Stefan Kirsch |
E-Jahr: | 2024 |
Jahr: | June 2024 |
Umfang: | 7 S. |
Illustrationen: | Illustrationen |
Fussnoten: | Online verfügbar: 6. April 2024, Artikelversion: 8. Juni 2024 ; Gesehen am 21.01.2025 |
Titel Quelle: | Enthalten in: SLAS technology |
Ort Quelle: | Amsterdam : Elsevier, 2016 |
Jahr Quelle: | 2024 |
Band/Heft Quelle: | 29(2024), 3, Artikel-ID 100133, Seite 1-7 |
ISSN Quelle: | 2472-6311 |
Abstract: | Obtaining high-quality omics data at the single-cell level from archived human tissue samples is crucial for gaining insights into cellular heterogeneity and pushing the field of personalized medicine forward. In this technical brief we present a comprehensive methodological framework for the efficient enzyme-free preparation of tissue-derived single cell suspensions and their conversion into single-cell miRNA sequencing libraries. The resulting data from this study have the potential to deepen our understanding of miRNA expression at the single-cell level and its relevance in the context of the examined tissues. The workflow encompasses tissue collection, RNALater immersion, storage, thawing, TissueGrinder-mediated dissociation, miRNA lysis, library preparation, sequencing, and data analysis. Quality control measures ensure reliable miRNA data, with specific attention to sample quality. The UMAP analysis reveals tissue-specific cell clustering, while miRNA diversity reflects tissue variations. The presented workflow effectively processes preserved tissues, extending opportunities for retrospective analysis and biobank utilization. |
DOI: | doi:10.1016/j.slast.2024.100133 |
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.
kostenfrei: Volltext: https://doi.org/10.1016/j.slast.2024.100133 |
| kostenfrei: Volltext: https://www.sciencedirect.com/science/article/pii/S2472630324000153 |
| DOI: https://doi.org/10.1016/j.slast.2024.100133 |
Datenträger: | Online-Ressource |
Sprache: | eng |
Sach-SW: | Micro RNAs (miRNA) sequencing |
| Molecular characterization |
| Personalized medicine |
| Single-cell analysis, Enzyme-free tissue dissociation |
K10plus-PPN: | 1915200369 |
Verknüpfungen: | → Zeitschrift |
¬A¬ novel approach to generate enzyme-free single cell suspensions from archived tissues for miRNA sequencing / Scheuermann, Stefan [VerfasserIn]; June 2024 (Online-Ressource)