Evidence map›Paper›PMID 34078885›Full record

ArticleNature communications2021

Discovery of widespread transcription initiation at microsatellites predictable by sequence-based deep neural network.

Mathys Grapotte, Manu Saraswat, Chloé Bessière, Christophe Menichelli, Jordan A Ramilowski, Jessica Severin, Yoshihide Hayashizaki, Masayoshi Itoh, Michihira Tagami, Mitsuyoshi Murata and 15 more

Erratum issuedAbstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Article
  6. Satellite DNA Genomics: The Ongoing Story.International journal of molecular sciences · 2025
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

25 authors.

Mathys Grapotte *Institut de Biologie Computationnelle, Montpellier, France.
Manu Saraswat *Institut de Biologie Computationnelle, Montpellier, France.
Chloé Bessière *Institut de Biologie Computationnelle, Montpellier, France.
Christophe MenichelliInstitut de Biologie Computationnelle, Montpellier, France.ORCID http://orcid.org/0000-0001-9161-3715
Jordan A RamilowskiRIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, Japan.ORCID http://orcid.org/0000-0002-3156-6416
Jessica SeverinRIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, Japan.ORCID http://orcid.org/0000-0003-1274-208X
Yoshihide HayashizakiRIKEN Preventive Medicine and Diagnosis Innovation Program, Wako, Saitama, Japan.ORCID http://orcid.org/0000-0002-0561-2802
Masayoshi ItohRIKEN Preventive Medicine and Diagnosis Innovation Program, Wako, Saitama, Japan.ORCID http://orcid.org/0000-0002-1772-318X
Michihira TagamiRIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, Japan.
Mitsuyoshi MurataRIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, Japan.
Miki Kojima-IshiyamaRIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, Japan.
Shohei NomaRIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, Japan.
Shuhei NoguchiRIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, Japan.
Takeya KasukawaRIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, Japan.ORCID http://orcid.org/0000-0001-5085-0802
Akira HasegawaRIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, Japan.
Harukazu SuzukiRIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, Japan.ORCID http://orcid.org/0000-0002-8087-0836
Hiromi Nishiyori-SuekiRIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, Japan.
Martin C FrithArtificial Intelligence Research Center, AIST, Tokyo, Japan.
FANTOM consortium
Clément ChatelainSANOFI R&D, Translational Sciences, Chilly Mazarin, France.
Piero CarninciRIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, Japan.ORCID http://orcid.org/0000-0001-7202-7243
Michiel J L de HoonRIKEN Center for Integrative Medical Sciences, Yokohama, Kanagawa, Japan.ORCID http://orcid.org/0000-0003-0489-2352
Wyeth W WassermanCentre for Molecular Medicine and Therapeutics at the Child and Family Research Institute, Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada.ORCID http://orcid.org/0000-0001-6098-6412
Laurent BréhélinInstitut de Biologie Computationnelle, Montpellier, France. brehelin@lirmm.fr.ORCID http://orcid.org/0000-0002-2582-2831
Charles-Henri LecellierInstitut de Biologie Computationnelle, Montpellier, France. charles.lecellier@igmm.cnrs.fr.ORCID http://orcid.org/0000-0002-0229-5434

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
MeV: Software for Next Generation Genomic Data AnalysisU01CA151118 · NCI · DANA-FARBER CANCER INST · PI QUACKENBUSH, JOHN · 2011 to 2015
$2.9M
NCI NIH HHS P30 CA008748NCI NIH HHS U01 CA151118
6 · The paper itself

Abstract

Using the Cap Analysis of Gene Expression (CAGE) technology, the FANTOM5 consortium provided one of the most comprehensive maps of transcription start sites (TSSs) in several species. Strikingly, ~72% of them could not be assigned to a specific gene and initiate at unconventional regions, outside promoters or enhancers. Here, we probe these unassigned TSSs and show that, in all species studied, a significant fraction of CAGE peaks initiate at microsatellites, also called short tandem repeats (STRs). To confirm this transcription, we develop Cap Trap RNA-seq, a technology which combines cap trapping and long read MinION sequencing. We train sequence-based deep learning models able to predict CAGE signal at STRs with high accuracy. These models unveil the importance of STR surrounding sequences not only to distinguish STR classes, but also to predict the level of transcription initiation. Importantly, genetic variants linked to human diseases are preferentially found at STRs with high transcription initiation level, supporting the biological and clinical relevance of transcription initiation at STRs. Together, our results extend the repertoire of non-coding transcription associated with DNA tandem repeats and complexify STR polymorphism.

Indexed as

Microsatellite RepeatsNeural Networks, ComputerTranscription Initiation, GeneticTranscription Initiation SiteA549 CellsAnimalsBase SequenceComputational BiologyDeep LearningEnhancer Elements, GeneticGenome, HumanHigh-Throughput Nucleotide SequencingHumansMiceNeurodegenerative DiseasesPolymorphism, Genetic

Identifiers

PMID34078885
PMCPMC8172540

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.