Comprehensive assessment of multiple biases in small RNA sequencing reveals significant differences in the performance of widely used methods

对小 RNA 测序中多种偏差的综合评估揭示了广泛使用的方法在性能上的显著差异

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作者:Carrie Wright, Anandita Rajpurohit, Emily E Burke, Courtney Williams, Leonardo Collado-Torres, Martha Kimos, Nicholas J Brandon, Alan J Cross, Andrew E Jaffe, Daniel R Weinberger, Joo Heon Shin

Background

RNA sequencing offers advantages over other quantification

Conclusions

Our data show differences and limitations of current methods, thus raising concerns about the validity of quantification of miRNA and isomiRs across studies. We advocate for the use of UMIs to improve accuracy and reliability of miRNA quantifications.

Results

All methods resulted in false isomiR detection; however, the adapter-free method tested was especially prone to false isomiR detection. We demonstrate that using UMIs improves accuracy and we provide a guide for input amounts to improve consistency. Conclusions: Our data show differences and limitations of current methods, thus raising concerns about the validity of quantification of miRNA and isomiRs across studies. We advocate for the use of UMIs to improve accuracy and reliability of miRNA quantifications.

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