Evidence map›Paper›PMID 34131135›Full record

ArticleNature communications2021

Learning mutational signatures and their multidimensional genomic properties with TensorSignatures.

Harald Vöhringer, Arne Van Hoeck, Edwin Cuppen, Moritz Gerstung

Open access · goldAbstract 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. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
3.3field-weighted citation impact, top 6% 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

38 citing papers in PubMed, 50 citations in OpenAlex.

  1. Review
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  3. Topographical archetypes of somatic mutagenesis in cancer.bioRxiv : the preprint server for biology · 2026
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  14. DNA lesion bypass and the stochastic dynamics of transcription-coupled repair.Proceedings of the National Academy of Sciences of the United States of America · 2024
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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

4 authors at 2 institutions in 3 countries.

Harald VöhringerEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Hinxton, UK.
Arne Van HoeckCenter for Molecular Medicine and Oncode Institute, University Medical Center Utrecht, Universiteitsweg 100, Utrecht, The Netherlands.ORCID 0000-0002-6570-1452
Edwin CuppenCenter for Molecular Medicine and Oncode Institute, University Medical Center Utrecht, Universiteitsweg 100, Utrecht, The Netherlands.
Moritz GerstungEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Hinxton, UK. moritz.gerstung@ebi.ac.uk.ORCID 0000-0001-6709-963X
European Bioinformatics Institute · GBUniversity Medical Center Utrecht · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present TensorSignatures, an algorithm to learn mutational signatures jointly across different variant categories and their genomic localisation and properties. The analysis of 2778 primary and 3824 metastatic cancer genomes of the PCAWG consortium and the HMF cohort shows that all signatures operate dynamically in response to genomic states. The analysis pins differential spectra of UV mutagenesis found in active and inactive chromatin to global genome nucleotide excision repair. TensorSignatures accurately characterises transcription-associated mutagenesis in 7 different cancer types. The algorithm also extracts distinct signatures of replication- and double strand break repair-driven mutagenesis by APOBEC3A and 3B with differential numbers and length of mutation clusters. Finally, TensorSignatures reproduces a signature of somatic hypermutation generating highly clustered variants at transcription start sites of active genes in lymphoid leukaemia, distinct from a general and less clustered signature of Polη-driven translesion synthesis found in a broad range of cancer types. In summary, TensorSignatures elucidates complex mutational footprints by characterising their underlying processes with respect to a multitude of genomic variables.

Indexed as

GenomicsMutationAlgorithmsBase SequenceCytidine DeaminaseDNADNA Breaks, Double-StrandedDNA-Directed DNA PolymeraseDNA Mutational AnalysisDNA RepairDNA ReplicationEpigenomicsHumansMinor Histocompatibility AntigensModels, GeneticMutagenesisAPOBEC3A protein, humanAPOBEC3B protein, humanCytidine DeaminaseDNADNA-Directed DNA PolymeraseMinor Histocompatibility AntigensProteinsRad30 proteinY-Family DNA Polymerases

Identifiers

PMID34131135
PMCPMC8206343
OpenAlexW3166192807

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.