Normalization of human RNA-seq experiments using chimpanzee RNA as a spike-in standard

被引:0
|
作者
Yu, Hannah [1 ,2 ]
Hahn, Yoonsoo [3 ]
Park, Sang-Ryoul [1 ,2 ]
Chung, Sun-Ku [4 ]
Jeong, Sangkyun [4 ]
Yang, Inchul [1 ,2 ]
机构
[1] Korea Res Inst Stand & Sci, Ctr Bioanal, Daejeon, South Korea
[2] Univ Sci & Technol, Bioanalyt Sci, Daejeon, South Korea
[3] Chung Ang Univ, Dept Life Sci, Seoul, South Korea
[4] Korea Inst Oriental Med, Med Res Div, Daejeon, South Korea
来源
SCIENTIFIC REPORTS | 2016年 / 6卷
关键词
DIFFERENTIAL EXPRESSION ANALYSIS; CELL-CULTURE; AMINO-ACIDS; NOISE; SILAC;
D O I
10.1038/srep31923
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Normalization of human RNA-seq experiments employing chimpanzee RNA as a spike-in standard is reported. Human and chimpanzee RNAs exhibit single nucleotide variations (SNVs) in average 210-bp intervals. Spike-in chimpanzee RNA would behave the same as the human counterparts during the whole NGS procedures owing to the high sequence similarity. After discrimination of species origins of the NGS reads based on SNVs, the chimpanzee reads were used to read-by-read normalize biases and variations of human reads. By this approach, as many as 10,119 transcripts were simultaneously normalized for the entire NGS procedures leading to accurate and reproducible quantification of differential gene expression. In addition, incomparable data sets from different in-process degradations or from different library preparation methods were made well comparable by the normalization. Based on these results, we expect that the normalization approaches using near neighbor genomes as internal standards could be employed as a standard protocol, which will improve both accuracy and comparability of NGS results across different sample batches, laboratories and NGS platforms.
引用
收藏
页数:10
相关论文
共 50 条
  • [1] Normalization of human RNA-seq experiments using chimpanzee RNA as a spike-in standard
    Hannah Yu
    Yoonsoo Hahn
    Sang-Ryoul Park
    Sun-Ku Chung
    Sangkyun Jeong
    Inchul Yang
    Scientific Reports, 6
  • [2] Synthetic spike-in standards for RNA-seq experiments
    Jiang, Lichun
    Schlesinger, Felix
    Davis, Carrie A.
    Zhang, Yu
    Li, Renhua
    Salit, Marc
    Gingeras, Thomas R.
    Oliver, Brian
    GENOME RESEARCH, 2011, 21 (09) : 1543 - 1551
  • [3] Novel small RNA spike-in oligonucleotides enable absolute normalization of small RNA-Seq data
    Lutzmayer, Stefan
    Enugutti, Balaji
    Nodine, Michael D.
    SCIENTIFIC REPORTS, 2017, 7
  • [4] Novel small RNA spike-in oligonucleotides enable absolute normalization of small RNA-Seq data
    Stefan Lutzmayer
    Balaji Enugutti
    Michael D. Nodine
    Scientific Reports, 7
  • [5] Using Synthetic Mouse Spike-In Transcripts to Evaluate RNA-Seq Analysis Tools
    Leshkowitz, Dena
    Feldmesser, Ester
    Friedlander, Gilgi
    Jona, Ghil
    Ainbinder, Elena
    Parmet, Yisrael
    Horn-Saban, Shirley
    PLOS ONE, 2016, 11 (04):
  • [6] Benchmarking RNA-seq differential expression analysis methods using spike-in and simulation data
    Baik, Bukyung
    Yoon, Sora
    Nam, Dougu
    PLOS ONE, 2020, 15 (04):
  • [7] Evaluating the impact of sequencing error correction for RNA-seq data with ERCC RNA spike-in controls
    Tong, Li
    Yang, Cheng
    Wu, Po-Yen
    Wang, May D.
    2016 3RD IEEE EMBS INTERNATIONAL CONFERENCE ON BIOMEDICAL AND HEALTH INFORMATICS, 2016, : 74 - 77
  • [8] Improved RNA-seq normalization
    Fletcher, Michael
    NATURE GENETICS, 2022, 54 (11) : 1584 - 1584
  • [9] Improved RNA-seq normalization
    Michael Fletcher
    Nature Genetics, 2022, 54 : 1584 - 1584
  • [10] mRNA enrichment protocols determine the quantification characteristics of external RNA spike-in controls in RNA-Seq studies
    QING Tao
    YU Ying
    DU TingTing
    SHI LeMing
    Science China(Life Sciences) , 2013, (02) : 134 - 142