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inDrops-2: a flexible, versatile and cost-efficient droplet microfluidic approach for high-throughput scRNA-seq of fresh and preserved clinical samples
Institute of Biotechnology, Life Sciences Center, Vilnius University, Vilnius, Lithuania.
Institute of Biotechnology, Life Sciences Center, Vilnius University, Vilnius, Lithuania.
Computational and Systems Biology, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, NY, United States.
Institute of Biotechnology, Life Sciences Center, Vilnius University, Vilnius, Lithuania.
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2025 (Engelska)Ingår i: Nucleic Acids Research, ISSN 0305-1048, E-ISSN 1362-4962, Vol. 53, nr 2, artikel-id gkae1312Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

The expansion of single-cell analytical techniques has empowered the exploration of diverse biological questions at the individual cells. Droplet-based single-cell RNA sequencing (scRNA-seq) methods have been particularly widely used due to their high-throughput capabilities and small reaction volumes. While commercial systems have contributed to the widespread adoption of droplet-based scRNA-seq, their relatively high cost limits the ability to profile large numbers of cells and samples. Moreover, as the scale of single-cell sequencing continues to expand, accommodating diverse workflows and cost-effective multi-biospecimen profiling becomes more critical. Herein, we present inDrops-2, an open-source scRNA-seq technology designed to profile live or preserved cells with a sensitivity matching that of state-of-the-art commercial systems but at a 6-fold lower cost. We demonstrate the flexibility of inDrops-2, by implementing two prominent scRNA-seq protocols, based on exponential and linear amplification of barcoded-complementary DNA, and provide useful insights into the advantages and disadvantages inherent to each approach. We applied inDrops-2 to simultaneously profile multiple human lung carcinoma samples that had been subjected to cell preservation, long-term storage and multiplexing to obtain a multiregional cellular profile of the tumor microenvironment. The scalability, sensitivity and cost efficiency make inDrops-2 stand out among other droplet-based scRNA-seq methods, ideal for large-scale studies on rare cell molecular signatures.

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Oxford University Press, 2025. Vol. 53, nr 2, artikel-id gkae1312
Nationell ämneskategori
Medicinsk genetik och genomik
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URN: urn:nbn:se:umu:diva-234311DOI: 10.1093/nar/gkae1312ISI: 001395718900007PubMedID: 39797728Scopus ID: 2-s2.0-85214836546OAI: oai:DiVA.org:umu-234311DiVA, id: diva2:1930480
Forskningsfinansiär
EU, Horisont Europa, 101030265Tillgänglig från: 2025-01-23 Skapad: 2025-01-23 Senast uppdaterad: 2025-01-23Bibliografiskt granskad

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