Evidence map›Paper›PMID 24833717›Full record

ArticleHuman molecular genetics2014

Wide-scale alterations in interchromosomal organization in breast cancer cells: defining a network of interacting chromosomes.

Andrew J Fritz, Branislav Stojkovic, Hu Ding, Jinhui Xu, Sambit Bhattacharya, Daniel Gaile, Ronald Berezney

Abstract read
In one paragraph

Article in Human molecular genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

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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

7 authors.

Andrew J FritzDepartment of Biological Sciences and.
Branislav StojkovicDepartment of Computer Sciences, University at Buffalo, State University of New York, Buffalo, NY 14260, USA.
Hu DingDepartment of Computer Sciences, University at Buffalo, State University of New York, Buffalo, NY 14260, USA.
Jinhui XuDepartment of Computer Sciences, University at Buffalo, State University of New York, Buffalo, NY 14260, USA.
Sambit BhattacharyaDepartment of Computer Sciences, Fayetteville State University, Fayetteville, NC 28301, USA.
Daniel GaileDepartment of Biostatistics, University at Buffalo, State University of New York, Buffalo, NY 14214, USA.
Ronald BerezneyDepartment of Biological Sciences and berezney@buffalo.edu.

Funding

Nuclear Matrix Structure and Genomic FunctionR01GM072131 · NIGMS · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI BEREZNEY, RONALD · 2004 to 2007
$1.5M
NIGMS NIH HHS GM-072131
6 · The paper itself

Abstract

The interchromosomal spatial positionings of a subset of human chromosomes was examined in the human breast cell line MCF10A (10A) and its malignant counterpart MCF10CA1a (CA1a). The nine chromosomes selected (#1, 4, 11, 12, 15, 16, 18, 21 and X) cover a wide range in size and gene density and compose ∼40% of the total human genome. Radial positioning of the chromosome territories (CT) was size dependent with certain of the CT more peripheral in CA1a. Each CT was in close proximity (interaction) with a similar number of other CT except the inactive CTXi. It had lower levels of interchromosomal partners in 10A which increased strikingly in CA1a. Major alterations from 10A to CA1a were detected in the pairwise interaction profiles which were subdivided into five types of altered interaction profiles: overall increase, overall decrease, switching from 1 to ≥2, vice versa or no change. A global data mining program termed the chromatic median calculated the most probable overall association network for the entire subset of CT. This interchromosomal network was drastically altered in CA1a with only 1 of 20 shared connections. We conclude that CT undergo multiple and preferred interactions with other CT in the cell nucleus and form preferred-albeit probabilistic-interchromosomal networks. This network of interactions is highly altered in malignant human breast cells. It is intriguing to consider the relationship of these alterations to the corresponding changes in the gene expression program of these malignant cancer cells.

Indexed as

Chromosomes, HumanBreast NeoplasmsCell Line, TumorComputational BiologyDNA ReplicationEpistasis, GeneticFemaleGene ExpressionGene Regulatory NetworksGenomicsHumansIn Situ Hybridization, FluorescenceNeural Networks, Computer

Identifiers

PMID24833717
PMCPMC4215107

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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.