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
Veröffentlichte Publikation
s13059-022-02660-8.pdf
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) |
|---|---|
| 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 |
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