Evidence map›Paper›PMID 30404778›Full record

ArticleGenome research2018

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

Nevena Cvetesic, Harry G Leitch, Malgorzata Borkowska, Ferenc Müller, Piero Carninci, Petra Hajkova, Boris Lenhard

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 44 citations in OpenAlex.

  1. Review
  2. Review
  3. Evaluating the reliability of tools for mRNA annotation and IRES studies.bioRxiv : the preprint server for biology · 2026
    Article
  4. Article
  5. Article
  6. Liver kinase B1 (LKB1) regulates the epigenetic landscape of mouse pancreatic beta cells.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. Article
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  12. Transcriptional enhancers and their communication with gene promoters.Cellular and molecular life sciences : CMLS · 2021
    Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. A Comprehensive Toolbox to Analyze Enhancer-Promoter Functions.Methods in molecular biology (Clifton, N.J.) · 2021
    Review
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 4 countries.

Nevena CvetesicInstitute of Clinical Sciences, Faculty of Medicine, Imperial College London, London W12 0NN, United Kingdom.
Harry G LeitchInstitute of Clinical Sciences, Faculty of Medicine, Imperial College London, London W12 0NN, United Kingdom.
Malgorzata BorkowskaInstitute of Clinical Sciences, Faculty of Medicine, Imperial College London, London W12 0NN, United Kingdom.
Ferenc MüllerInstitute of Cancer and Genomic Sciences, University of Birmingham, Edgbaston B15 2TT, United Kingdom.
Piero CarninciRIKEN Center for Life Science Technologies, Division of Genomic Technologies, Yokohama City, Kanagawa 230-0045, Japan.
Petra HajkovaInstitute of Clinical Sciences, Faculty of Medicine, Imperial College London, London W12 0NN, United Kingdom.
Boris LenhardInstitute of Clinical Sciences, Faculty of Medicine, Imperial College London, London W12 0NN, United Kingdom.
NIHR Imperial Biomedical Research Centre · GBCancer Research UK Clinical Trials Unit · GBCE Technologies (United Kingdom) · GB

Funding

Biotechnology and Biological Sciences Research Council BB/R002703/1Medical Research Council MC-A652-5QA10Medical Research Council MC_U120092689Medical Research Council MC UP 1102/1Medical Research Council MC_UP_1102/1Medical Research Council MC_UP_1605/2Medical Research Council MC_US_A652_5PY70Wellcome TrustWellcome Trust 106954
6 · The paper itself

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.

Indexed as

High-Throughput Nucleotide SequencingTranscription Initiation SiteAnimalsGene LibraryMicePromoter Regions, GeneticRNA, MessengerSequence Analysis, RNARNA, Messenger

Identifiers

PMID30404778
PMCPMC6280763
OpenAlexW2950843205

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.