scholarly journals Correction to Supporting Information for Reid-Bayliss and Loeb, Accurate RNA consensus sequencing for high-fidelity detection of transcriptional mutagenesis-induced epimutations

2018 ◽  
Vol 115 (41) ◽  
pp. E9754-E9754
2017 ◽  
Vol 114 (35) ◽  
pp. 9415-9420 ◽  
Author(s):  
Kate S. Reid-Bayliss ◽  
Lawrence A. Loeb

Transcriptional mutagenesis (TM) due to misincorporation during RNA transcription can result in mutant RNAs, or epimutations, that generate proteins with altered properties. TM has long been hypothesized to play a role in aging, cancer, and viral and bacterial evolution. However, inadequate methodologies have limited progress in elucidating a causal association. We present a high-throughput, highly accurate RNA sequencing method to measure epimutations with single-molecule sensitivity. Accurate RNA consensus sequencing (ARC-seq) uniquely combines RNA barcoding and generation of multiple cDNA copies per RNA molecule to eliminate errors introduced during cDNA synthesis, PCR, and sequencing. The stringency of ARC-seq can be scaled to accommodate the quality of input RNAs. We apply ARC-seq to directly assess transcriptome-wide epimutations resulting from RNA polymerase mutants and oxidative stress.


2018 ◽  
Vol 17 (3) ◽  
pp. 155-160 ◽  
Author(s):  
Daniel Dürr ◽  
Ute-Christine Klehe

Abstract. Faking has been a concern in selection research for many years. Many studies have examined faking in questionnaires while far less is known about faking in selection exercises with higher fidelity. This study applies the theory of planned behavior (TPB; Ajzen, 1991 ) to low- (interviews) and high-fidelity (role play, group discussion) exercises, testing whether the TPB predicts reported faking behavior. Data from a mock selection procedure suggests that candidates do report to fake in low- and high-fidelity exercises. Additionally, the TPB showed good predictive validity for faking in a low-fidelity exercise, yet not for faking in high-fidelity exercises.


2019 ◽  
Vol 12 (1) ◽  
pp. 18-33 ◽  
Author(s):  
Horea Pauna ◽  
Pierre-Majorique Léger ◽  
Sylvain Sénécal ◽  
Marc Fredette ◽  
Élise Labonté-Lemoyne ◽  
...  

1998 ◽  
Author(s):  
R. Hampton ◽  
Nagendra Subba Rao ◽  
Young Kim ◽  
William Wagar ◽  
Allen Karchmer

2021 ◽  
Author(s):  
Jian Xiao ◽  
Phillip Liu ◽  
D.C. Pham ◽  
Jim Lua ◽  
Shenal Perera ◽  
...  

2021 ◽  
Author(s):  
Mark Pankow ◽  
Joseph Giliberto ◽  
Brandon Hearley ◽  
Brian Justusson ◽  
Joseph Schaefer ◽  
...  

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