Evidence map›Paper›PMID 29481550›Full record

ArticleNature methods2018

Cell-type specific sequencing of microRNAs from complex animal tissues.

Chiara Alberti, Raphael A Manzenreither, Ivica Sowemimo, Thomas R Burkard, Jingkui Wang, Katharina Mahofsky, Stefan L Ameres, Luisa Cochella

Abstract read
In one paragraph

Article in Nature methods, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing 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

55 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Micro RNA Sequencing in Circulating Tumor Cells.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Advances in applications of artificial intelligence algorithms for cancer-related miRNA research.Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences · 2024
    Review
  13. Article
  14. Review
  15. Article
  16. Single Cell Micro RNA Sequencing Library Preparation.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  17. Article
  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

8 authors.

Chiara AlbertiResearch Institute of Molecular Pathology (IMP), Vienna Biocenter Campus (VBC), Vienna, Austria.ORCID 0000-0002-6857-9261
Raphael A ManzenreitherInstitute of Molecular Biotechnology (IMBA), Vienna Biocenter Campus (VBC), Vienna, Austria.
Ivica SowemimoInstitute of Molecular Biotechnology (IMBA), Vienna Biocenter Campus (VBC), Vienna, Austria.
Thomas R BurkardResearch Institute of Molecular Pathology (IMP), Vienna Biocenter Campus (VBC), Vienna, Austria.
Jingkui WangResearch Institute of Molecular Pathology (IMP), Vienna Biocenter Campus (VBC), Vienna, Austria.
Katharina MahofskyResearch Institute of Molecular Pathology (IMP), Vienna Biocenter Campus (VBC), Vienna, Austria.
Stefan L AmeresInstitute of Molecular Biotechnology (IMBA), Vienna Biocenter Campus (VBC), Vienna, Austria.
Luisa CochellaResearch Institute of Molecular Pathology (IMP), Vienna Biocenter Campus (VBC), Vienna, Austria.ORCID 0000-0003-4018-7722

Funding

Enhancing and expanding the CGC Strain CollectionP40OD010440 · OD · UNIVERSITY OF MINNESOTA · PI Ann E. Rougvie · 2012 to 2026
$7.5M
Austrian Science Fund FWF F 4322Austrian Science Fund FWF Y 733European Research Council 337161European Research Council 338252NIH HHS P40 OD010440
6 · The paper itself

Abstract

MicroRNAs (miRNAs) play an essential role in the post-transcriptional regulation of animal development and physiology. However, in vivo studies aimed at linking miRNA function to the biology of distinct cell types within complex tissues remain challenging, partly because in vivo miRNA-profiling methods lack cellular resolution. We report microRNome by methylation-dependent sequencing (mime-seq), an in vivo enzymatic small-RNA-tagging approach that enables high-throughput sequencing of tissue- and cell-type-specific miRNAs in animals. The method combines cell-type-specific 3'-terminal 2'-O-methylation of animal miRNAs by a genetically encoded, plant-specific methyltransferase (HEN1), with chemoselective small-RNA cloning and high-throughput sequencing. We show that mime-seq uncovers the miRNomes of specific cells within Caenorhabditis elegans and Drosophila at unprecedented specificity and sensitivity, enabling miRNA profiling with single-cell resolution in whole animals. Mime-seq overcomes current challenges in cell-type-specific small-RNA profiling and provides novel entry points for understanding the function of miRNAs in spatially restricted physiological settings.

Indexed as

AnimalsArabidopsis ProteinsCaenorhabditis elegansCloning, MolecularDrosophilaMicroRNAsNeuronsSequence Analysis, RNAArabidopsis ProteinsHEN1 protein, ArabidopsisMicroRNAs

Identifiers

PMID29481550
PMCPMC5886366

What OpenQuestion holds

Textmetadata
LicenceTDM
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.