Janjic, Aleksandar; Wange, Lucas E.; Bagnoli, Johannes W.; Geuder, Johanna; Nguyen, Phong; Richter, Daniel; Vieth, Beate; Vick, Binje; Jeremias, Irmela; Ziegenhain, Christoph; Hellmann, Ines; Enard, Wolfgang ORCID: 0000-0002-4056-0550 (2022): Prime-seq, efficient and powerful bulk RNA sequencing. Genome Biology, 23: 88. ISSN 1474-760X
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Abstract
Cost-efficient library generation by early barcoding has been central in propelling single-cell RNA sequencing. Here, we optimize and validate prime-seq, an early barcoding bulk RNA-seq method. We show that it performs equivalently to TruSeq, a standard bulk RNA-seq method, but is fourfold more cost-efficient due to almost 50-fold cheaper library costs. We also validate a direct RNA isolation step, show that intronic reads are derived from RNA, and compare cost-efficiencies of available protocols. We conclude that prime-seq is currently one of the best options to set up an early barcoding bulk RNA-seq protocol from which many labs would profit.
Dokumententyp: | Artikel (LMU) |
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Organisationseinheit (Fakultäten): | 19 Biologie > Department Biologie II |
DFG-Fachsystematik der Wissenschaftsbereiche: | Lebenswissenschaften |
Veröffentlichungsdatum: | 03. Nov 2022 11:46 |
Letzte Änderung: | 07. Dez 2023 12:16 |
URI: | https://oa-fund.ub.uni-muenchen.de/id/eprint/339 |
DFG: | Gefördert durch die Deutsche Forschungsgemeinschaft (DFG) - 406901759 |
DFG: | Gefördert durch die Deutsche Forschungsgemeinschaft (DFG) - 491502892 |