Evidence map›Paper›PMID 28650219›Full record

ArticleCell cycle (Georgetown, Tex.)2017

Interrogating cell division errors using random and chromosome-specific missegregation approaches.

Peter Ly, Don W Cleveland

Abstract read
In one paragraph

Article in Cell cycle (Georgetown, Tex.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Satellite DNAs and human sex chromosome variation.Seminars in cell & developmental biology · 2022
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
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

2 authors.

Peter Lya Ludwig Institute for Cancer Research and Department of Cellular and Molecular Medicine , University of California at San Diego , La Jolla , CA , USA.ORCID http://orcid.org/0000-0001-8946-7069
Don W Clevelanda Ludwig Institute for Cancer Research and Department of Cellular and Molecular Medicine , University of California at San Diego , La Jolla , CA , USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate segregation of the duplicated genome in mitosis is essential for maintaining genetic stability. Errors in this process can cause numerical and/or structural chromosome abnormalities - hallmark genomic features commonly associated with both tumorigenesis and developmental disorders. A cell-based approach was recently developed permitting inducible missegregation of the human Y chromosome by selectively disrupting kinetochore assembly onto the Y centromere. Although this strategy initially requires several steps of genetic manipulation, it is easy to use, highly efficient and specific for the Y without affecting the autosomes or the X, and does not require cell cycle synchronization or mitotic perturbation. Here we describe currently available tools for studying chromosome segregation errors, aneuploidy, and micronuclei, as well as discuss how the Y-specific missegregation system has been used to elucidate how chromosomal micronucleation can trigger a class of extensive rearrangements termed chromothripsis. The combinatorial use of these different tools will allow unresolved aspects of cell division defects and chromosomal instability to be experimentally explored.

Indexed as

Chromosome AberrationsGenetic TechniquesAneuploidyCell DivisionCentromere Protein BChromosomal InstabilityChromosome SegregationChromosomes, Human, YHumansMicronuclei, Chromosome-DefectiveMitosisCentromere Protein Baneuploidycentromerechromosome segregationchromothripsismicronucleimitosis

Identifiers

PMID28650219
PMCPMC5531625

What OpenQuestion holds

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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.