Evidence map›Paper›PMID 29804667›Full record

ArticleMethods in cell biology2018

Quantitative methods to measure aneuploidy and chromosomal instability.

Kristina M Godek, Duane A Compton

Abstract read
In one paragraph

Article in Methods in cell biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
4.5field-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

10 citing papers in PubMed, 24 citations in OpenAlex.

  1. Pretreatment Chromosomal Instability Correlates With Radiation Sensitivity in Squamous Cell Cancers.International journal of radiation oncology, biology, physics · 2026
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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

2 authors at 2 institutions in 1 country.

Kristina M GodekGeisel School of Medicine, Hanover, NH, United States; Norris Cotton Cancer Center, Lebanon, NH, United States.
Duane A ComptonGeisel School of Medicine, Hanover, NH, United States; Norris Cotton Cancer Center, Lebanon, NH, United States. Electronic address: duane.a.compton@dartmouth.edu.
Cotton (United States) · USUSC Norris Comprehensive Cancer Center · US

Funding

Organization of the Mammalian Mitotic SpindleR37GM051542 · NIGMS · DARTMOUTH COLLEGE · PI COMPTON, DUANE A. · 2013 to 2022
$6.7M
NIGMS NIH HHS R37 GM051542
6 · The paper itself

Abstract

Cell viability requires accurate chromosome segregation during meiosis and mitosis so that the daughter cells produced have the correct chromosome complement. In contrast, chromosome segregation errors lead to aneuploidy, a state of abnormal chromosome numbers. Furthermore, a persistently high rate of chromosome segregation errors causes the related phenomenon of whole chromosomal instability (w-CIN). Aneuploidy and w-CIN are common characteristics of several human conditions and diseases including birth defects and cancers. Thus, methods to measure aneuploidy and w-CIN have important research applications in many areas of cell biology. In this chapter, we describe methods to measure chromosome missegregation rates and aneuploid cell survival with a focus on cells grown in culture; however, we also highlight methods that are amenable to primary tissue samples. Together, these methods provide a comprehensive approach to determining the frequency of aneuploidy and w-CIN in cells.

Indexed as

AneuploidyBiological AssayCell Line, TumorCell SurvivalChromosomal InstabilityChromosome SegregationChromosomes, HumanCytological TechniquesFluorescent Antibody TechniqueHumansIn Situ Hybridization, FluorescenceMitosisAneuploidyChromosomal instability (CIN)Chromosome missegregationFluorescent in situ hybridization (FISH)Lagging chromosomes

Identifiers

PMID29804667
PMCPMC6475901
OpenAlexW2800567484

What OpenQuestion holds

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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.