Determination of tRNA aminoacylation levels by high-throughput sequencing

被引:74
|
作者
Evans, Molly E. [1 ]
Clark, Wesley C. [1 ]
Zheng, Guanqun [1 ]
Pan, Tao [1 ]
机构
[1] Univ Chicago, Dept Biochem & Mol Biol, Chicago, IL 60637 USA
基金
美国国家卫生研究院; 美国国家科学基金会;
关键词
AMINO-ACID STARVATION; ESCHERICHIA-COLI; IN-VIVO; GENES; PPGPP;
D O I
10.1093/nar/gkx514
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Transfer RNA (tRNA) decodes mRNA codons when aminoacylated (charged) with an amino acid at its 3' end. Charged tRNAs turn over rapidly in cells, and variations in charged tRNA fractions are known to be a useful parameter in cellular responses to stress. tRNA charging fractions can be measured for individual tRNA species using acid denaturing gels, or comparatively at the genome level using microarrays. These hybridization-based approaches cannot be used for high resolution analysis of mammalian tRNAs due to their large sequence diversity. Here we develop a high-throughput sequencing method that enables accurate determination of charged tRNA fractions at single-base resolution (Charged DM-tRNA-seq). Our method takes advantage of the recently developed DM-tRNA-seq method, but includes additional chemical steps that specifically remove the 3' A residue in uncharged tRNA. Charging fraction is obtained by counting the fraction of A-ending reads versus A+C-ending reads for each tRNA species in the same sequencing reaction. In HEK293T cells, most cytosolic tRNAs are charged at >80% levels, whereas tRNASer and tRNAThr are charged at lower levels. These low charging levels were validated using acid denaturing gels. Our method should be widely applicable for investigations of tRNA charging as a parameter in biological regulation.
引用
收藏
页数:8
相关论文
共 50 条
  • [1] Efficient and quantitative high-throughput tRNA sequencing
    Zheng G.
    Qin Y.
    Clark W.C.
    Dai Q.
    Yi C.
    He C.
    Lambowitz A.M.
    Pan T.
    Nature Methods, 2015, 12 (9) : 835 - 837
  • [2] Efficient and quantitative high-throughput tRNA sequencing
    Zheng, Guanqun
    Qin, Yidan
    Clark, Wesley C.
    Dai, Qing
    Yi, Chengqi
    He, Chuan
    Lambowitz, Alan M.
    Pan, Tao
    NATURE METHODS, 2015, 12 (09) : 835 - +
  • [3] tRNA base methylation identification and quantification via high-throughput sequencing
    Clark, Wesley C.
    Evans, Molly E.
    Dominissini, Dan
    Zheng, Guanqun
    Pan, Tao
    RNA, 2016, 22 (11) : 1771 - 1784
  • [4] LOTTE-seq (Long hairpin oligonucleotide based tRNA high-throughput sequencing): specific selection of tRNAs with 3'-CCA end for high-throughput sequencing
    Erber, Lieselotte
    Hoffmann, Anne
    Fallmann, Joerg
    Betat, Heike
    Stadler, Peter F.
    Moerl, Mario
    RNA BIOLOGY, 2020, 17 (01) : 23 - 32
  • [5] High-Throughput Sequencing Technologies
    Reuter, Jason A.
    Spacek, Damek V.
    Snyder, Michael P.
    MOLECULAR CELL, 2015, 58 (04) : 586 - 597
  • [6] High-Throughput Sequencing and Metagenomics
    Jones, William J.
    ESTUARIES AND COASTS, 2010, 33 (04) : 944 - 952
  • [7] High-throughput protein sequencing
    Pham, V
    Tropea, J
    Wong, S
    Quach, J
    Henzel, WJ
    ANALYTICAL CHEMISTRY, 2003, 75 (04) : 875 - 882
  • [8] High-Throughput Sequencing and Metagenomics
    William J. Jones
    Estuaries and Coasts, 2010, 33 : 944 - 952
  • [9] Salmonella Serotype Determination Utilizing High-Throughput Genome Sequencing Data
    Zhang, Shaokang
    Yin, Yanlong
    Jones, Marcus B.
    Zhang, Zhenzhen
    Kaiser, Brooke L. Deatherage
    Dinsmore, Blake A.
    Fitzgerald, Collette
    Fields, Patricia I.
    Deng, Xiangyu
    JOURNAL OF CLINICAL MICROBIOLOGY, 2015, 53 (05) : 1685 - 1692
  • [10] High-throughput sequencing and vaccine design
    Luciani, F.
    REVUE SCIENTIFIQUE ET TECHNIQUE-OFFICE INTERNATIONAL DES EPIZOOTIES, 2016, 35 (01): : 53 - 65