Evidence map›Paper›PMID 31907453›Full record

ArticleNature protocols2020

Analysis pipelines for cancer genome sequencing in mice.

Sebastian Lange, Thomas Engleitner, Sebastian Mueller, Roman Maresch, Maximilian Zwiebel, Laura González-Silva, Günter Schneider, Ruby Banerjee, Fengtang Yang, George S Vassiliou and 4 more

Open access · greenAbstract read
PubMed Publisher
In one paragraph

Article in Nature protocols, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
3.4field-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

27 citing papers in PubMed, 43 citations in OpenAlex.

  1. Article
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  4. B-cell-specificBlood neoplasia · 2025
    Article
  5. Oxidative stress accelerates repeat sequence instability and base substitutions promoting gastrointestinal driver mutations in MSH2 deficient mice.Genes and environment : the official journal of the Japanese Environmental Mutagen Society · 2025
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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

14 authors at 6 institutions in 4 countries.

Sebastian Lange *Institute of Molecular Oncology and Functional Genomics, School of Medicine, Technische Universität München, Munich, Germany.
Thomas Engleitner *Institute of Molecular Oncology and Functional Genomics, School of Medicine, Technische Universität München, Munich, Germany.
Sebastian Mueller *Institute of Molecular Oncology and Functional Genomics, School of Medicine, Technische Universität München, Munich, Germany.
Roman Maresch *Institute of Molecular Oncology and Functional Genomics, School of Medicine, Technische Universität München, Munich, Germany.
Maximilian ZwiebelInstitute of Molecular Oncology and Functional Genomics, School of Medicine, Technische Universität München, Munich, Germany.ORCID http://orcid.org/0000-0002-7005-5619
Laura González-SilvaInstituto de Biomedicina y Biotecnología de Cantabria, Universidad de Cantabria-CSIC, Santander, Spain.
Günter SchneiderDepartment of Medicine II, Klinikum rechts der Isar, School of Medicine, Technische Universität München, Munich, Germany.
Ruby BanerjeeThe Wellcome Trust Sanger Institute, Cambridge, UK.
Fengtang YangThe Wellcome Trust Sanger Institute, Cambridge, UK.ORCID http://orcid.org/0000-0002-3573-2354
George S VassiliouThe Wellcome Trust Sanger Institute, Cambridge, UK.ORCID http://orcid.org/0000-0003-4337-8022
Mathias J FriedrichInstitute of Molecular Oncology and Functional Genomics, School of Medicine, Technische Universität München, Munich, Germany.
Dieter SaurDepartment of Medicine II, Klinikum rechts der Isar, School of Medicine, Technische Universität München, Munich, Germany.
Ignacio VarelaInstituto de Biomedicina y Biotecnología de Cantabria, Universidad de Cantabria-CSIC, Santander, Spain.ORCID http://orcid.org/0000-0002-0969-506X
Roland RadInstitute of Molecular Oncology and Functional Genomics, School of Medicine, Technische Universität München, Munich, Germany. roland.rad@tum.de.ORCID http://orcid.org/0000-0002-6849-9659
Technical University of Munich · DETUM Klinikum · DEGerman Cancer Research Center · DEUniversidad de Cantabria · ESWellcome Sanger Institute · GBWellcome/MRC Cambridge Stem Cell Institute · GB

Funding

Cancer Research UK 23015Medical Research Council MC_PC_12009Medical Research Council MC_PC_17230
6 · The paper itself

Abstract

Mouse models of human cancer have transformed our ability to link genetics, molecular mechanisms and phenotypes. Both reverse and forward genetics in mice are currently gaining momentum through advances in next-generation sequencing (NGS). Methodologies to analyze sequencing data were, however, developed for humans and hence do not account for species-specific differences in genome structures and experimental setups. Here, we describe standardized computational pipelines specifically tailored to the analysis of mouse genomic data. We present novel tools and workflows for the detection of different alteration types, including single-nucleotide variants (SNVs), small insertions and deletions (indels), copy-number variations (CNVs), loss of heterozygosity (LOH) and complex rearrangements, such as in chromothripsis. Workflows have been extensively validated and cross-compared using multiple methodologies. We also give step-by-step guidance on the execution of individual analysis types, provide advice on data interpretation and make the complete code available online. The protocol takes 2-7 d, depending on the desired analyses.

Indexed as

AnimalsGenomicsINDEL MutationLoss of HeterozygosityMiceNeoplasmsPolymorphism, Single NucleotideSequence Analysis, DNAWorkflow

Identifiers

PMID31907453
OpenAlexW2998473048

What OpenQuestion holds

Textmetadata
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.