Janjic, A.* ; Wange, L.E.* ; Bagnoli, J.W.* ; Geuder, J.* ; Nguyen, P.* ; Richter, D.* ; Vieth, B.* ; Vick, B. ; Jeremias, I. ; Ziegenhain, C.* ; Hellmann, I.* ; Enard, W.*
Prime-seq, efficient and powerful bulk RNA sequencing.
Genome Biol. 23:88 (2022)
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.
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Publication type
Article: Journal article
Document type
Scientific Article
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Keywords
Genomics ; Power Analysis ; Rna-seq ; Transcriptomics
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Language
english
Publication Year
2022
Prepublished in Year
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2022
ISSN (print) / ISBN
1474-760X
e-ISSN
1465-6906
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Volume: 23,
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Article Number: 88
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BioMed Central
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Peer reviewed
Institute(s)
Research Unit Apoptosis in Hematopoietic Stem Cells (AHS)
POF-Topic(s)
30204 - Cell Programming and Repair
Research field(s)
Stem Cell and Neuroscience
PSP Element(s)
G-506600-001
Grants
Cyliax foundation
LMU Excellence Initiative
Deutsche Forschungsgemeinschaft
Copyright
Erfassungsdatum
2022-05-04