Evidence map›Paper›PMID 24347051›Full record

ArticleCytometry. Part A : the journal of the International Society for Analytical Cytology2014

Spatial quantitation of FISH signals in diploid versus aneuploid nuclei.

Amol Shete, Pulivarthi Rao, Debananda Pati, Fatima Merchant

Abstract read
In one paragraph

Article in Cytometry. Part A : the journal of the International Society for Analytical Cytology, 2014. 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
–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

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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.

  1. Article
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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

4 authors.

Amol SheteDepartment of Computer Science, University of Houston, Houston, Texas.
Pulivarthi Rao
Debananda Pati
Fatima Merchant

Funding

Molecular Basis of AneuploidyR01CA109330 · NCI · BAYLOR COLLEGE OF MEDICINE · PI PATI, DEBANANDA · 2006 to 2010
$1.6M
Mitotic Regulation of Apoptosis in LeukemiaR01CA109478 · NCI · BAYLOR COLLEGE OF MEDICINE · PI PATI, DEBANANDA · 2006 to 2010
$1.1M
NCI NIH HHS 1R01 CA109330NCI NIH HHS 1R01 CA109478NCI NIH HHS R01 CA109330NCI NIH HHS R01 CA109478
6 · The paper itself

Abstract

Fluorescence in situ hybridization (FISH) is the most widely used molecular technique to visualize chromosomal abnormalities. Here, we describe a novel 3D modeling approach to allow precise shape estimation and localization of FISH signals in the nucleus of human embryonic stem cells (hES) undergoing progressive but defined aneuploidy. The hES cell line WA09 acquires an extra copy of chromosome 12 in culture with increasing passages. Both diploid and aneuploid nuclei were analyzed to quantitate the differences in the localization of centromeric FISH signals for chromosome 12 as it transitions from euploidy to aneuploidy. We employed superquadric modeling primitives coupled with principal component analysis to determine the 3D position of FISH signals within the nucleus. A novel aspect of our modeling approach is that it allows comparison of FISH signals across multiple cells by normalizing the position of the centromeric signals relative to a reference landmark in oriented nuclei. Using this model we present evidence of changes in the relative positioning of centromeres in trisomy-12 cells when compared with diploid cells from the same population. Our analysis also suggests a significant change in the spatial distribution of at least one of the FISH signals in the aneuploid chromosome complements implicating that an overall change in centromere position may occur in trisomy-12 due to the addition of an extra chromosome. These studies underscore the unique utility of our modeling algorithms in quantifying FISH signals in three dimensions.

Indexed as

AlgorithmsImaging, Three-DimensionalAneuploidyCell LineCell NucleusDiploidyEmbryonic Stem CellsHumansImage Processing, Computer-AssistedIn Situ Hybridization, FluorescenceModels, TheoreticalPrincipal Component Analysis3D modelinganeuploidycentromere positionFISHhES cellsspatial quantitation of centromere positionsuperquadric primitivestrisomy-12

Identifiers

PMID24347051
PMCPMC3972278

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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.