Evidence map›Paper›PMID 33482885›Full record

ArticleGenome biology2021

MicroExonator enables systematic discovery and quantification of microexons across mouse embryonic development.

Guillermo E Parada, Roberto Munita, Ilias Georgakopoulos-Soares, Hugo J R Fernandes, Veronika R Kedlian, Emmanouil Metzakopian, Maria Estela Andres, Eric A Miska, Martin Hemberg

Open access · goldAbstract read
In one paragraph

Article in Genome biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.4field-weighted citation impact, top 11% of its field
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

20 citing papers in PubMed, 38 citations in OpenAlex.

  1. Article
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  4. MEPDB: Database of microExons in plants.The New phytologist · 2025
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  15. Article
  16. Non-Canonical Splicing and Its Implications in Brain Physiology and Cancer.International journal of molecular sciences · 2022
    Review
  17. Article
  18. Article
  19. Article
  20. LAR Receptor Tyrosine Phosphatase Family in Healthy and Diseased Brain.Frontiers in cell and developmental biology · 2021
    Review
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

9 authors at 4 institutions in 3 countries.

Guillermo E ParadaWellcome Sanger Institute, Wellcome Genome Campus, Cambridge, CB10 1SA, UK.
Roberto MunitaDepartment of Cellular and Molecular Biology, Faculty of Biological Sciences, Pontificia Universidad Católica de Chile, Santiago, Chile.
Ilias Georgakopoulos-SoaresWellcome Sanger Institute, Wellcome Genome Campus, Cambridge, CB10 1SA, UK.
Hugo J R FernandesUK Dementia Research Institute, Department of Clinical Neurosciences, University of Cambridge, Cambridge, CB2 0AH, UK.
Veronika R KedlianWellcome Sanger Institute, Wellcome Genome Campus, Cambridge, CB10 1SA, UK.
Emmanouil MetzakopianUK Dementia Research Institute, Department of Clinical Neurosciences, University of Cambridge, Cambridge, CB2 0AH, UK.
Maria Estela AndresDepartment of Cellular and Molecular Biology, Faculty of Biological Sciences, Pontificia Universidad Católica de Chile, Santiago, Chile.
Eric A MiskaWellcome Sanger Institute, Wellcome Genome Campus, Cambridge, CB10 1SA, UK. eam29@cam.ac.uk.
Martin HembergWellcome Sanger Institute, Wellcome Genome Campus, Cambridge, CB10 1SA, UK. mh26@sanger.ac.uk.ORCID 0000-0001-8895-5239
University of Cambridge · GBPontificia Universidad Católica de Chile · CLUniversity of California, San Francisco · USWellcome Sanger Institute · GB

Funding

Cancer Research UK 11832Cancer Research UK 18583Cancer Research UK 27826Cancer Research UK C6946/A14492Wellcome TrustWellcome Trust 092096/Z/10/ZWellcome Trust 104640/Z/14/Z
6 · The paper itself

Abstract

backgroundMicroexons, exons that are ≤ 30 nucleotides, are a highly conserved and dynamically regulated set of cassette exons. They have key roles in nervous system development and function, as evidenced by recent results demonstrating the impact of microexons on behaviour and cognition. However, microexons are often overlooked due to the difficulty of detecting them using standard RNA-seq aligners.

resultsHere, we present MicroExonator, a novel pipeline for reproducible de novo discovery and quantification of microexons. We process 289 RNA-seq datasets from eighteen mouse tissues corresponding to nine embryonic and postnatal stages, providing the most comprehensive survey of microexons available for mice. We detect 2984 microexons, 332 of which are differentially spliced throughout mouse embryonic brain development, including 29 that are not present in mouse transcript annotation databases. Unsupervised clustering of microexons based on their inclusion patterns segregates brain tissues by developmental time, and further analysis suggests a key function for microexons in axon growth and synapse formation. Finally, we analyse single-cell RNA-seq data from the mouse visual cortex, and for the first time, we report differential inclusion between neuronal subpopulations, suggesting that some microexons could be cell type-specific.

conclusionsMicroExonator facilitates the investigation of microexons in transcriptome studies, particularly when analysing large volumes of data. As a proof of principle, we use MicroExonator to analyse a large collection of both mouse bulk and single-cell RNA-seq datasets. The analyses enabled the discovery of previously uncharacterized microexons, and our study provides a comprehensive microexon inclusion catalogue during mouse development.

Indexed as

ExonsAnimalsBase SequenceBrainEmbryonic DevelopmentMiceNeurogenesisNeuronsNeurulationRNA SplicingSequence Analysis, RNASingle-Cell AnalysisSoftwareTranscriptomeVisual CortexZebrafishAlternative splicingMicroexonsNeuronal developmentReproducible softwareSingle-cellSplicing

Identifiers

PMID33482885
PMCPMC7821500
OpenAlexW3123409244

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.