inDrops-2: a flexible, versatile and cost-efficient droplet microfluidic approach for high-throughput scRNA-seq of fresh and preserved clinical samples
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.
Authors
- Juozas Nainys (ORCID: https://orcid.org/0000-0003-0297-8822)
- Justina Žvirblytė (ORCID: https://orcid.org/0000-0001-8175-504X)
- Juozas Šiurkus
- Simonas Juzėnas (ORCID: https://orcid.org/0000-0001-9293-0691)
- Linas Mažutis (ORCID: https://orcid.org/0000-0002-5552-6427)
- Karolis Goda (ORCID: https://orcid.org/0009-0000-8276-6883)
- Vaidotas Kiseliovas (ORCID: https://orcid.org/0000-0002-5431-7316)
- Alvaro Quintinal-Villalonga
Institutions
- Memorial Sloan Kettering Cancer Center (US)
- Vilnius University (LT)
- Czech Academy of Sciences, Institute of Biotechnology (CZ)
- Thermo Fisher Scientific (Lithuania) (LT)
- Genomics (United Kingdom) (GB)
- Umeå University (SE)
Publication Details
- Journal
- Nucleic Acids Research
- Published
- 2024-12-26
- DOI
- https://doi.org/10.1093/nar/gkae1312
- Citations
- 8
- Primary Topic
- Single-cell and spatial transcriptomics
- Type
- article
- Field-Weighted Citation Impact
- 1.87
Funders
- Memorial Sloan-Kettering Cancer Center
- European Molecular Biology Laboratory
- Lietuvos Mokslo Taryba
- European Regional Development Fund
- H2020 Marie Skłodowska-Curie Actions
- HORIZON EUROPE Marie Sklodowska-Curie Actions