Evidence map›Paper›PMID 29708530›Full record

ArticleJournal of visualized experiments : JoVE2018

Generation and Isolation of Cell Cycle-arrested Cells with Complex Karyotypes.

Ruoxi W Wang, Emily MacDuffie, Stefano Santaguida

Open access · greenAbstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 43% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. The Dynamic Instability of the Aneuploid Genome.Frontiers in cell and developmental biology · 2022
    Review
  3. 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

3 authors at 1 institution in 1 country.

Ruoxi W WangKoch Institute for Integrative Cancer Research at MIT, Department of Biology, Massachusetts Institute of Technology.
Emily MacDuffieKoch Institute for Integrative Cancer Research at MIT, Department of Biology, Massachusetts Institute of Technology.
Stefano SantaguidaKoch Institute for Integrative Cancer Research at MIT, Department of Biology, Massachusetts Institute of Technology; ste@mit.edu.
Massachusetts Institute of Technology · US

Funding

Howard Hughes Medical Institute
6 · The paper itself

Abstract

Chromosome mis-segregation leads to aneuploidy, a condition in which cells harbor an imbalanced chromosome number. Several lines of evidence strongly indicate that aneuploidy triggers genome instability, ultimately generating cells with complex karyotypes that arrest their proliferation. Isolation and characterization of cells harboring complex karyotypes are crucial to study the impact of an imbalanced chromosome number on cell physiology. To date, no methods have been established to reliably isolate such aneuploid cells. This paper provides a protocol for the enrichment and analysis of aneuploid cells with complex karyotypes utilizing standard, inexpensive tissue culture techniques. This protocol can be used to analyze several features of aneuploid cells with complex karyotypes including their induced senescence-associated secretory phenotype, pro-inflammatory properties, and ability to interact with immune cells. Because cancer cells often harbor imbalances in chromosome number, it is crucial to decipher how aneuploidy impacts cell physiology in normal cells, with the ultimate goal of uncovering both its pro- and anti-tumorigenic effects.

Indexed as

KaryotypeCell CycleCell Cycle CheckpointsChromosomal InstabilityChromosome AberrationsGenomic InstabilityHumans

Identifiers

PMID29708530
PMCPMC5933501
OpenAlexW2801751726

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.