Quartet RNA reference materials improve the quality of transcriptomic data through ratio-based profiling

Author:

Yu YingORCID,Hou Wanwan,Liu YaqingORCID,Wang Haiyan,Dong Lianhua,Mai Yuanbang,Chen QingwangORCID,Li Zhihui,Sun Shanyue,Yang Jingcheng,Cao Zehui,Zhang Peipei,Zi Yi,Liu Ruimei,Gao Jian,Zhang Naixin,Li JingjingORCID,Ren Luyao,Jiang HeORCID,Shang JunORCID,Zhu Sibo,Wang Xiaolin,Qing Tao,Bao Ding,Li Bingying,Li Bin,Suo Chen,Pi Yan,Wang Xia,Dai Fangping,Scherer AndreasORCID,Mattila Pirkko,Han Jinxiong,Zhang Lijun,Jiang Hui,Thierry-Mieg DanielleORCID,Thierry-Mieg JeanORCID,Xiao WenmingORCID,Hong HuixiaoORCID,Tong WeidaORCID,Wang Jing,Li Jinming,Fang Xiang,Jin LiORCID,Xu JoshuaORCID,Qian FengORCID,Zhang RuiORCID,Shi LemingORCID,Zheng YuantingORCID

Abstract

AbstractCertified RNA reference materials are indispensable for assessing the reliability of RNA sequencing to detect intrinsically small biological differences in clinical settings, such as molecular subtyping of diseases. As part of the Quartet Project for quality control and data integration of multi-omics profiling, we established four RNA reference materials derived from immortalized B-lymphoblastoid cell lines from four members of a monozygotic twin family. Additionally, we constructed ratio-based transcriptome-wide reference datasets between two samples, providing cross-platform and cross-laboratory ‘ground truth’. Investigation of the intrinsically subtle biological differences among the Quartet samples enables sensitive assessment of cross-batch integration of transcriptomic measurements at the ratio level. The Quartet RNA reference materials, combined with the ratio-based reference datasets, can serve as unique resources for assessing and improving the quality of transcriptomic data in clinical and biological settings.

Publisher

Springer Science and Business Media LLC

Subject

Biomedical Engineering,Molecular Medicine,Applied Microbiology and Biotechnology,Bioengineering,Biotechnology

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