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| Verfasst von: | Mathur, Lukas [VerfasserIn]  |
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| | Szalai, B. [VerfasserIn] |
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| | Du, N. H. [VerfasserIn] |
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| | Utharala, Ramesh [VerfasserIn] |
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| | Ballinger, Martine [VerfasserIn] |
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| | Landry, Jonathan [VerfasserIn] |
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| | Ryckelynck, M. [VerfasserIn] |
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| | Benes, Vladimir [VerfasserIn] |
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| | Sáez Rodríguez, Julio [VerfasserIn] |
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| | Merten, Christoph A. [VerfasserIn] |
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| Titel: | Combi-seq for multiplexed transcriptome-based profiling of drug combinations using deterministic barcoding in single-cell droplets |
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| Verf.angabe: | L. Mathur, B. Szalai, N.H. Du, R. Utharala, M. Ballinger, J.J.M. Landry, M. Ryckelynck, V. Benes, J. Saez-Rodriguez & C.A. Merten |
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| E-Jahr: | 2022 |
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| Jahr: | 01 August 2022 |
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| Umfang: | 15 S. |
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| Fussnoten: | Gesehen am 09.09.2022 |
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| Titel Quelle: | Enthalten in: Nature Communications |
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| Ort Quelle: | [London] : Springer Nature, 2010 |
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| Jahr Quelle: | 2022 |
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| Band/Heft Quelle: | 13(2022), Artikel-ID 4450, Seite 1-15 |
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| ISSN Quelle: | 2041-1723 |
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| Abstract: | Anti-cancer therapies often exhibit only short-term effects. Tumors typically develop drug resistance causing relapses that might be tackled with drug combinations. Identification of the right combination is challenging and would benefit from high-content, high-throughput combinatorial screens directly on patient biopsies. However, such screens require a large amount of material, normally not available from patients. To address these challenges, we present a scalable microfluidic workflow, called Combi-Seq, to screen hundreds of drug combinations in picoliter-size droplets using transcriptome changes as a readout for drug effects. We devise a deterministic combinatorial DNA barcoding approach to encode treatment conditions, enabling the gene expression-based readout of drug effects in a highly multiplexed fashion. We apply Combi-Seq to screen the effect of 420 drug combinations on the transcriptome of K562 cells using only similar to 250 single cell droplets per condition, to successfully predict synergistic and antagonistic drug pairs, as well as their pathway activities. |
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| DOI: | doi:10.1038/s41467-022-32197-0 |
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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.
kostenfrei: Volltext: https://doi.org/10.1038/s41467-022-32197-0 |
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| | kostenfrei: Volltext: https://www.webofscience.com/api/gateway?GWVersion=2&SrcAuth=DOISource&SrcApp=WOS&KeyAID=10.1038%2Fs41467-022-32197-0&De ... |
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| | DOI: https://doi.org/10.1038/s41467-022-32197-0 |
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| Datenträger: | Online-Ressource |
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| Sprache: | eng |
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| Sach-SW: | inhibition |
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| | landscape |
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| | lung-cancer |
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| | mutations |
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| | resistance |
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| | sensitivity |
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| K10plus-PPN: | 1816498793 |
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| Verknüpfungen: | → Zeitschrift |
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Combi-seq for multiplexed transcriptome-based profiling of drug combinations using deterministic barcoding in single-cell droplets / Mathur, Lukas [VerfasserIn]; 01 August 2022 (Online-Ressource)
