Evidence map›Paper›PMID 19267891›Full record

ArticleBMC cell biology2009

HAC stability in murine cells is influenced by nuclear localization and chromatin organization.

Daniela Moralli, David Y L Chan, Andrew Jefferson, Emanuela V Volpi, Zoia L Monaco

Abstract read
In one paragraph

Article in BMC cell biology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Developing de novo human artificial chromosomes in embryonic stem cells using HSV-1 amplicon technology.Chromosome research : an international journal on the molecular, supramolecular and evolutionary aspects of chromosome biology · 2015
    Review
  3. Article
  4. Review
  5. Article
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

5 authors.

Daniela MoralliWellcome Trust Centre for Human Genetics, University of Oxford, Roosevelt Drive, Oxford, OX3 7BN, UK. dmoralli@well.ox.ac.uk
David Y L Chan
Andrew Jefferson
Emanuela V Volpi
Zoia L Monaco

Funding

Wellcome Trust
6 · The paper itself

Abstract

backgroundHuman artificial chromosomes (HAC) are small functional extrachromosomal elements, which segregate correctly during each cell division. In human cells, they are mitotically stable, however when the HAC are transferred to murine cells they show an increased and variable rate of loss. In some cell lines the HAC are lost over a short period of time, while in others the HAC become stable without acquiring murine DNA.

resultsIn this study, we linked the loss rate to the position of the HAC in the murine cell nucleus with respect to the chromocenters. HAC that associated preferentially with the chromocenter displayed a lower loss rate compared to the HAC that are less frequently associated. The chromocenter acts as a hub for the deposition of heterochromatic markers, controlling centromeric and pericentromeric DNA replication timing and chromosome segregation. The HAC which localized more frequently outside the chromocenters bound variable amounts of histone H3 tri-methylated at lysine 9, and the high level of intraclonal variability was associated with an increase in HAC segregation errors and delayed DNA replication timing.

conclusionThis is a novel result indicating that HAC segregation is closely linked to the position in the murine nucleus and gives important insight for HAC gene expression studies in murine cells and establishing murine models of human genetic disease.

Indexed as

Chromosomal InstabilityAnimalsCell LineCell NucleusCentromereChromatinChromosomes, Artificial, HumanGene Transfer TechniquesHistonesHumansIn Situ Hybridization, FluorescenceMetaphaseMiceMitosisChromatinHistones

Identifiers

PMID19267891
PMCPMC2674426

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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.