Evidence map›Paper›PMID 27246460›Full record

ArticleGenome biology2016

Single-cell sequencing reveals karyotype heterogeneity in murine and human malignancies.

Bjorn Bakker, Aaron Taudt, Mirjam E Belderbos, David Porubsky, Diana C J Spierings, Tristan V de Jong, Nancy Halsema, Hinke G Kazemier, Karina Hoekstra-Wakker, Allan Bradley and 6 more

Open access · goldAbstract read
In one paragraph

Article in Genome biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 145 papers.

0numbers the graph read from it
0cells of the map it votes in
145citing papers in PubMed
8.0field-weighted citation impact, top 2% 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

145 citing papers in PubMed, 272 citations in OpenAlex.

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  14. Benchmarking Ploidy Estimation Methods for Bulk and Single-Cell Whole Genome Sequencing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
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85 more citing papers are in PubMed but not listed here.

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

16 authors at 4 institutions in 4 countries.

Bjorn BakkerEuropean Research Institute for the Biology of Ageing, University of Groningen, University Medical Center Groningen, A. Deusinglaan 1, Groningen, 9713 AV, The Netherlands.
Aaron TaudtEuropean Research Institute for the Biology of Ageing, University of Groningen, University Medical Center Groningen, A. Deusinglaan 1, Groningen, 9713 AV, The Netherlands.
Mirjam E BelderbosEuropean Research Institute for the Biology of Ageing, University of Groningen, University Medical Center Groningen, A. Deusinglaan 1, Groningen, 9713 AV, The Netherlands.
David PorubskyEuropean Research Institute for the Biology of Ageing, University of Groningen, University Medical Center Groningen, A. Deusinglaan 1, Groningen, 9713 AV, The Netherlands.
Diana C J SpieringsEuropean Research Institute for the Biology of Ageing, University of Groningen, University Medical Center Groningen, A. Deusinglaan 1, Groningen, 9713 AV, The Netherlands.
Tristan V de JongEuropean Research Institute for the Biology of Ageing, University of Groningen, University Medical Center Groningen, A. Deusinglaan 1, Groningen, 9713 AV, The Netherlands.
Nancy HalsemaEuropean Research Institute for the Biology of Ageing, University of Groningen, University Medical Center Groningen, A. Deusinglaan 1, Groningen, 9713 AV, The Netherlands.
Hinke G KazemierEuropean Research Institute for the Biology of Ageing, University of Groningen, University Medical Center Groningen, A. Deusinglaan 1, Groningen, 9713 AV, The Netherlands.
Karina Hoekstra-WakkerEuropean Research Institute for the Biology of Ageing, University of Groningen, University Medical Center Groningen, A. Deusinglaan 1, Groningen, 9713 AV, The Netherlands.
Allan BradleyWellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, CB10 1SA, UK.
Eveline S J M de BontDepartment of Paediatrics, University of Groningen, University Medical Center Groningen, A. Deusinglaan 1, Groningen, 9713 AV, The Netherlands.
Anke van den BergDepartment of Pathology & Medical Biology, University of Groningen, University Medical Center Groningen, A. Deusinglaan 1, Groningen, 9713 AV, The Netherlands.
Victor GuryevEuropean Research Institute for the Biology of Ageing, University of Groningen, University Medical Center Groningen, A. Deusinglaan 1, Groningen, 9713 AV, The Netherlands.
Peter M LansdorpEuropean Research Institute for the Biology of Ageing, University of Groningen, University Medical Center Groningen, A. Deusinglaan 1, Groningen, 9713 AV, The Netherlands.
Maria Colomé-TatchéEuropean Research Institute for the Biology of Ageing, University of Groningen, University Medical Center Groningen, A. Deusinglaan 1, Groningen, 9713 AV, The Netherlands. maria.colome@helmholtz-muenchen.de.
Floris FoijerEuropean Research Institute for the Biology of Ageing, University of Groningen, University Medical Center Groningen, A. Deusinglaan 1, Groningen, 9713 AV, The Netherlands. f.foijer@umcg.nl.
University Medical Center Groningen · NLUniversity of Groningen · NLHelmholtz Zentrum München · DEWellcome Sanger Institute · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChromosome instability leads to aneuploidy, a state in which cells have abnormal numbers of chromosomes, and is found in two out of three cancers. In a chromosomal instable p53 deficient mouse model with accelerated lymphomagenesis, we previously observed whole chromosome copy number changes affecting all lymphoma cells. This suggests that chromosome instability is somehow suppressed in the aneuploid lymphomas or that selection for frequently lost/gained chromosomes out-competes the CIN-imposed mis-segregation.

resultsTo distinguish between these explanations and to examine karyotype dynamics in chromosome instable lymphoma, we use a newly developed single-cell whole genome sequencing (scWGS) platform that provides a complete and unbiased overview of copy number variations (CNV) in individual cells. To analyse these scWGS data, we develop AneuFinder, which allows annotation of copy number changes in a fully automated fashion and quantification of CNV heterogeneity between cells. Single-cell sequencing and AneuFinder analysis reveals high levels of copy number heterogeneity in chromosome instability-driven murine T-cell lymphoma samples, indicating ongoing chromosome instability. Application of this technology to human B cell leukaemias reveals different levels of karyotype heterogeneity in these cancers.

conclusionOur data show that even though aneuploid tumours select for particular and recurring chromosome combinations, single-cell analysis using AneuFinder reveals copy number heterogeneity. This suggests ongoing chromosome instability that other platforms fail to detect. As chromosome instability might drive tumour evolution, karyotype analysis using single-cell sequencing technology could become an essential tool for cancer treatment stratification.

Indexed as

Genetic HeterogeneityKaryotypeSingle-Cell AnalysisAneuploidyAnimalsChromosomal InstabilityChromosome AberrationsComparative Genomic HybridizationComputational BiologyDNA Copy Number VariationsHumansMiceMice, KnockoutNeoplasmsPrecursor B-Cell Lymphoblastic Leukemia-LymphomaPrecursor T-Cell Lymphoblastic Leukemia-LymphomaAneuploidyCopy number detectionKaryotype heterogeneityLeukaemiaLymphomaSingle-cell sequencing

Identifiers

PMID27246460
PMCPMC4888588
OpenAlexW2414771725

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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.