Evidence map›Paper›PMID 31208319›Full record

ArticleBMC bioinformatics2019

Aneuvis: web-based exploration of numerical chromosomal variation in single cells.

Daniel G Piqué, Grasiella A Andriani, Elaine Maggi, Samuel E Zimmerman, John M Greally, Cristina Montagna, Jessica C Mar

Abstract read
In one paragraph

Article in BMC bioinformatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Chromosome instability and aneuploidy in the mammalian brain.Chromosome research : an international journal on the molecular, supramolecular and evolutionary aspects of chromosome biology · 2023
    Review
  2. 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

7 authors.

Daniel G PiquéDepartment of Systems Biology, Albert Einstein College of Medicine, Bronx, NY, 10461, USA.
Grasiella A AndrianiDepartment of Genetics, Albert Einstein College of Medicine, Bronx, NY, 10461, USA.
Elaine MaggiDepartment of Genetics, Albert Einstein College of Medicine, Bronx, NY, 10461, USA.
Samuel E ZimmermanDepartment of Systems Biology, Albert Einstein College of Medicine, Bronx, NY, 10461, USA.
John M GreallyDepartment of Genetics, Albert Einstein College of Medicine, Bronx, NY, 10461, USA.
Cristina MontagnaDepartment of Genetics, Albert Einstein College of Medicine, Bronx, NY, 10461, USA. cristina.montagna@einstein.yu.edu.
Jessica C MarDepartment of Systems Biology, Albert Einstein College of Medicine, Bronx, NY, 10461, USA. j.mar@uq.edu.au.

Funding

WORD PROCESSORP30CA013330 · NCI · YESHIVA UNIVERSITY · PI THOMAS E ROHAN · 1985 to 2026
$111.2M
MEDICAL SCIENTIST TRAINING PROGRAMT32GM007288 · NIGMS · YESHIVA UNIVERSITY · PI AKABAS, MYLES H. · 1985 to 2022
$35.6M
Australian Research Council FT170100047National Institutes of Health NIH T32-GM007288National Institutes of Health P30CA013330National Stem Cell Foundation of Australia Metcalf PrizeNCI NIH HHS P30 CA013330NIGMS NIH HHS T32 GM007288
6 · The paper itself

Abstract

backgroundNumerical chromosomal variation is a hallmark of populations of malignant cells. Identifying the factors that promote numerical chromosomal variation is important for understanding mechanisms of carcinogenesis. However, the ability to quantify and visualize differences in chromosome number between experimentally-defined groups (e.g. control vs treated) obtained from single-cell experiments is currently limited by the lack of user-friendly software.

resultsAneuvis is a web application that allows users to determine whether numerical chromosomal variation exists between experimental treatment groups. The web interface allows users to upload molecular cytogenetic or processed single cell whole-genome sequencing data in a cell-by-chromosome matrix format and automatically generates visualizations and summary statistics that reflect the degree of numeric chromosomal variability.

conclusionsAneuvis is the first user-friendly web application to help researchers identify the genetic and environmental perturbations that promote numerical chromosomal variation. Aneuvis is freely available as a web application at https://dpique.shinyapps.io/aneuvis/ and the source code for the application is available at https://github.com/dpique/aneuvis .

Indexed as

InternetSingle-Cell AnalysisSoftwareCell LineChromosomesDNA Copy Number VariationsHumansUser-Computer InterfaceWhole Genome SequencingAneuploidyAutomated hypothesis testingFluorescence in situ hybridizationMulti-experiment comparisonNumerical chromosomal variationSingle-cell genomicsVisualization

Identifiers

PMID31208319
PMCPMC6580570

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.