A novel approach to generate enzyme-free single cell suspensions from archived tissues for miRNA sequencing
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 effici...
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| Hauptverfasser: | , , , , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
June 2024
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| In: |
SLAS technology
Year: 2024, Jahrgang: 29, Heft: 3, Pages: 1-7 |
| ISSN: | 2472-6311 |
| DOI: | 10.1016/j.slast.2024.100133 |
| Online-Zugang: | Verlag, kostenfrei, Volltext: https://doi.org/10.1016/j.slast.2024.100133 Verlag, kostenfrei, Volltext: https://www.sciencedirect.com/science/article/pii/S2472630324000153 
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| Verfasserangaben: | Stefan Scheuermann, Sarah Hücker, Annika Engel, Nicole Ludwig, Philipp Lebhardt, Jens Langejürgen, Stefan Kirsch |
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| 245 | 1 | 2 | |a A novel approach to generate enzyme-free single cell suspensions from archived tissues for miRNA sequencing |c Stefan Scheuermann, Sarah Hücker, Annika Engel, Nicole Ludwig, Philipp Lebhardt, Jens Langejürgen, Stefan Kirsch |
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| 520 | |a 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. | ||
| 650 | 4 | |a Micro RNAs (miRNA) sequencing | |
| 650 | 4 | |a Molecular characterization | |
| 650 | 4 | |a Personalized medicine | |
| 650 | 4 | |a Single-cell analysis, Enzyme-free tissue dissociation | |
| 700 | 1 | |a Hücker, Sarah |e VerfasserIn |4 aut | |
| 700 | 1 | |a Engel, Annika |e VerfasserIn |4 aut | |
| 700 | 1 | |a Ludwig, Nicole |e VerfasserIn |4 aut | |
| 700 | 1 | |a Lebhardt, Philipp |d 1985- |e VerfasserIn |0 (DE-588)143358545 |0 (DE-627)645130591 |0 (DE-576)336630808 |4 aut | |
| 700 | 1 | |a Langejürgen, Jens |e VerfasserIn |4 aut | |
| 700 | 1 | |a Kirsch, Stefan |e VerfasserIn |4 aut | |
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