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• W2901618503 abstract "ABSTRACT Thermostable group II intron reverse transcriptases (TGIRTs) with high fidelity and processivity have been used for a variety of RNA sequencing (RNA-seq) applications, including comprehensive profiling of whole-cell, exosomal, and human plasma RNAs; quantitative tRNA-seq based on the ability of TGIRT enzymes to give full-length reads of tRNAs and other structured small ncRNAs; high-throughput mapping of post-transcriptional modifications; and RNA structure mapping. Here, we improved TGIRT-seq methods for comprehensive transcriptome profiling by (i) rationally designing RNA-seq adapters that minimize adapter dimer formation, and (ii) developing biochemical and computational methods that remediate 5’- and 3’-end biases. These improvements, some of which may be applicable to other RNA-seq methods, increase the efficiency of TGIRT-seq library construction and improve coverage of very small RNAs, such as miRNAs. Our findings provide insight into the biochemical basis of 5’- and 3’-end biases in RNA-seq and suggest general approaches for remediating biases and decreasing adapter dimer formation." @default.
• W2901618503 created "2018-11-29" @default.
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• W2901618503 date "2018-11-19" @default.
• W2901618503 modified "2023-09-24" @default.
• W2901618503 title "Improved TGIRT-seq methods for comprehensive transcriptome profiling with decreased adapter dimer formation and bias correction" @default.
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• W2901618503 doi "https://doi.org/10.1101/474031" @default.
• W2901618503 hasPublicationYear "2018" @default.
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