SLIC-CAGE: high-resolution transcription start site mapping using nanogram-levels of total RNA

  1. Boris Lenhard1,2,6
  1. 1Institute of Clinical Sciences, Faculty of Medicine, Imperial College London, London W12 0NN, United Kingdom;
  2. 2MRC London Institute of Medical Sciences, London W12 0NN, United Kingdom;
  3. 3Institute of Cancer and Genomic Sciences, University of Birmingham, Edgbaston B15 2TT, United Kingdom;
  4. 4RIKEN Center for Life Science Technologies, Division of Genomic Technologies, Yokohama City, Kanagawa 230-0045, Japan;
  5. 5RIKEN Omics Science Center, Yokohama City, Kanagawa 230-0045, Japan;
  6. 6Sars International Centre for Marine Molecular Biology, University of Bergen, N-5008 Bergen, Norway
  • Corresponding authors: ncvetesi{at}ic.ac.uk, b.lenhard{at}imperial.ac.uk
  • Abstract

    Cap analysis of gene expression (CAGE) is a methodology for genome-wide quantitative mapping of mRNA 5′ ends to precisely capture transcription start sites at a single nucleotide resolution. In combination with high-throughput sequencing, CAGE has revolutionized our understanding of the rules of transcription initiation, led to discovery of new core promoter sequence features, and discovered transcription initiation at enhancers genome-wide. The biggest limitation of CAGE is that even the most recently improved version (nAnT-iCAGE) still requires large amounts of total cellular RNA (5 µg), preventing its application to scarce biological samples such as those from early embryonic development or rare cell types. Here, we present SLIC-CAGE, a Super-Low Input Carrier-CAGE approach to capture 5′ ends of RNA polymerase II transcripts from as little as 5–10 ng of total RNA. This dramatic increase in sensitivity is achieved by specially designed, selectively degradable carrier RNA. We demonstrate the ability of SLIC-CAGE to generate data for genome-wide promoterome with 1000-fold less material than required by existing CAGE methods, by generating a complex, high-quality library from mouse embryonic day 11.5 primordial germ cells.

    Footnotes

    • [Supplemental material is available for this article.]

    • Article published online before print. Article, supplemental material, and publication date are at http://www.genome.org/cgi/doi/10.1101/gr.235937.118.

    • Freely available online through the Genome Research Open Access option.

    • Received February 9, 2018.
    • Accepted October 25, 2018.

    This article, published in Genome Research, is available under a Creative Commons License (Attribution 4.0 International), as described at http://creativecommons.org/licenses/by/4.0/.

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