A transposable approach to RNA-seq from total RNA

被引：0
|
作者：
Scott Kuersten
机构：
[1] Epicentre (an Illumina company),
来源：
Nature Methods | 2013年 / 10卷 / 9期
关键词：
D O I：
10.1038/nmeth.f.357x
中图分类号：
学科分类号：
摘要：
The rapid progress of RNA-seq technology requires the development of simple, versatile tools that competently reflect RNA levels in the cell. We have developed the TotalScript™ RNA-Seq Kit, a new, transposome-based directional library prep method suitable for a variety of RNA sample types and a range of input. TotalScript libraries exhibit high complexity, ∼97–99% directionality and low rRNA contamination. The method is scalable and robust, allowing input amounts of ∼100 pg of poly(A)+ RNA or ∼5 ng of total RNA.
引用
收藏
页码：916 / 916
相关论文
共 50 条
  • [1] A transposable approach to RNA-seq from total RNA
    Scott Kuersten
    Nature Methods, 2012, 9 (6) : i - ii
  • [2] RNA-Seq UD: A bioinformatics plattform for RNA-Seq analysis
    Ramirez, Miguel
    Alejandro Rojas-Quintero, Cristian
    Enrique Vera-Parra, Nelson
    2015 10TH IBERIAN CONFERENCE ON INFORMATION SYSTEMS AND TECHNOLOGIES (CISTI), 2015,
  • [3] ExplorATE: a new pipeline to explore active transposable elements from RNA-seq data
    Femenias, Martin M.
    Santos, Juan C.
    Sites, Jack W., Jr.
    Avila, Luciano J.
    Morando, Mariana
    BIOINFORMATICS, 2022, 38 (13) : 3361 - 3366
  • [4] RNA-seq: from technology to biology
    Marguerat, Samuel
    Baehler, Juerg
    CELLULAR AND MOLECULAR LIFE SCIENCES, 2010, 67 (04) : 569 - 579
  • [5] RNA-seq: from technology to biology
    Samuel Marguerat
    Jürg Bähler
    Cellular and Molecular Life Sciences, 2010, 67 : 569 - 579
  • [6] A phylogenetic backbone for Bivalvia: an RNA-seq approach
    Gonzalez, Vanessa L.
    Andrade, Sonia C. S.
    Bieler, Ruediger
    Collins, Timothy M.
    Dunn, Casey W.
    Mikkelsen, Paula M.
    Taylor, John D.
    Giribet, Gonzalo
    PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES, 2015, 282 (1801)
  • [7] A new approach to bias correction in RNA-Seq
    Jones, Daniel C.
    Ruzzo, Walter L.
    Peng, Xinxia
    Katze, Michael G.
    BIOINFORMATICS, 2012, 28 (07) : 921 - 928
  • [8] An Integrated Approach for RNA-seq Data Normalization
    Yang, Shengping
    Mercante, Donald E.
    Zhang, Kun
    Fang, Zhide
    CANCER INFORMATICS, 2016, 15 : 129 - 141
  • [9] Evaluating the bias of circRNA predictions from total RNA-Seq data
    Wang, Jinzeng
    Liu, Kang
    Liu, Ya
    Lv, Qi
    Zhang, Fan
    Wang, Haiyun
    ONCOTARGET, 2017, 8 (67) : 110914 - 110921
  • [10] RNA-Seq unleashed
    Iyer, Matthew K.
    Chinnaiyan, Arul M.
    NATURE BIOTECHNOLOGY, 2011, 29 (07) : 599 - 600
12345