Evidence map›Paper›PMID 24465620›Full record

ArticlePloS one2014

Prediction of the number of activated genes in multiple independent Cd(+2)- and As(+3)-induced malignant transformations of human urothelial cells (UROtsa).

Scott H Garrett, Seema Somji, Donald A Sens, Ke K Zhang

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.6field-weighted citation impact, top 34% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
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  5. Elevated connexin 43 expression in arsenite-and cadmium-transformed human bladder cancer cells, tumor transplants and selected high grade human bladder cancers.Experimental and toxicologic pathology : official journal of the Gesellschaft fur Toxikologische Pathologie · 2016
    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 at 1 institution in 1 country.

Scott H GarrettDepartment of Pathology, School of Medicine and Health Sciences, University of North Dakota, Grand Forks, North Dakota, United States of America.
Seema SomjiDepartment of Pathology, School of Medicine and Health Sciences, University of North Dakota, Grand Forks, North Dakota, United States of America.
Donald A SensDepartment of Pathology, School of Medicine and Health Sciences, University of North Dakota, Grand Forks, North Dakota, United States of America.
Ke K ZhangDepartment of Pathology, School of Medicine and Health Sciences, University of North Dakota, Grand Forks, North Dakota, United States of America.
University of North Dakota · US

Funding

Research CoresP20GM103442 · NIGMS · UNIVERSITY OF NORTH DAKOTA · PI Chris Jurgens · 2012 to 2026
$53.0M
WORKSHOPS AND EVALUATIONP20RR016471 · NCRR · UNIVERSITY OF NORTH DAKOTA · PI KELLER, CHRISTOPHER P · 2001 to 2011
$31.7M
NCRR NIH HHS 5P20RR016471-12NCRR NIH HHS P20 RR016471NIGMS NIH HHS 8 P20 GM103442-12NIGMS NIH HHS P20 GM103442
6 · The paper itself

Abstract

backgroundMany toxic environmental agents such as cadmium and arsenic are found to be epidemiologically linked to increasing rates of cancers. In vitro studies show that these toxic agents induced malignant transformation in human cells. It is not clear whether such malignant transformation induced by a single toxic agent is driven by a common set of genes. Although the advancement of high-throughput technology has facilitated the profiling of global gene expression, it remains a question whether the sample size is sufficient to identify this common driver gene set.

resultsWe have developed a statistical method, SOFLR, to predict the number of common activated genes using a limited number of microarray samples. We conducted two case studies, cadmium and arsenic transformed human urothelial cells. Our method is able to precisely predict the number of stably induced and repressed genes and the number of samples to identify the common activated genes. The number of independent transformed isolates required for identifying the common activated genes is also estimated. The simulation study further validated our method and identified the important parameters in this analysis.

conclusionsOur method predicts the degree of similarity and diversity during cell malignant transformation by a single toxic agent. The results of our case studies imply the existence of common driver and passenger gene sets in toxin-induced transformation. Using a pilot study with small sample size, this method also helps microarray experimental design by determining the number of samples required to identify the common activated gene set.

Indexed as

AlgorithmsArsenicCadmiumCell LineCell Transformation, NeoplasticCluster AnalysisComputational BiologyComputer SimulationEpithelial CellsHumansModels, GeneticOligonucleotide Array Sequence AnalysisReverse Transcriptase Polymerase Chain ReactionTranscriptomeUrotheliumArsenicCadmium

Identifiers

PMID24465620
PMCPMC3899011
OpenAlexW1980668126

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.