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Genome-Wide Small RNA Sequencing and Gene Expression Analysis Reveals a microRNA Profile of Cancer Susceptibility in ATM-Deficient Human Mammary Epithelial Cells

Overview of attention for article published in PLOS ONE, May 2013
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Title
Genome-Wide Small RNA Sequencing and Gene Expression Analysis Reveals a microRNA Profile of Cancer Susceptibility in ATM-Deficient Human Mammary Epithelial Cells
Published in
PLOS ONE, May 2013
DOI 10.1371/journal.pone.0064779
Pubmed ID
Authors

Jill E. Hesse, Liwen Liu, Cynthia L. Innes, Yuxia Cui, Stela S. Palii, Richard S. Paules

Abstract

Deficiencies in the ATM gene are the underlying cause for ataxia telangiectasia, a syndrome characterized by neurological, motor and immunological defects, and a predisposition to cancer. MicroRNAs (miRNAs) are useful tools for cancer profiling and prediction of therapeutic responses to clinical regimens. We investigated the consequences of ATM deficiency on miRNA expression and associated gene expression in normal human mammary epithelial cells (HME-CCs). We identified 81 significantly differentially expressed miRNAs in ATM-deficient HME-CCs using small RNA sequencing. Many of these have been implicated in tumorigenesis and proliferation and include down-regulated tumor suppressor miRNAs, such as hsa-miR-29c and hsa-miR-16, as well as over-expressed pro-oncogenic miRNAs, such as hsa-miR-93 and hsa-miR-221. MicroRNA changes were integrated with genome wide gene expression profiles to investigate possible miRNA targets. Predicted mRNA targets of the miRNAs significantly regulated after ATM depletion included many genes associated with cancer formation and progression, such as SOCS1 and the proto-oncogene MAF. While a number of miRNAs have been reported as altered in cancerous cells, there is little understanding as to how these small RNAs might be driving cancer formation or how they might be used as biomarkers for cancer susceptibility. This study provides preliminary data for defining miRNA profiles that may be used as prognostic or predictive biomarkers for breast cancer. Our integrated analysis of miRNA and mRNA expression allows us to gain a better understanding of the signaling involved in breast cancer predisposition and suggests a mechanism for the breast cancer-prone phenotype seen in ATM-deficient patients.

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Geographical breakdown

Country Count As %
United Kingdom 1 3%
United States 1 3%
Brazil 1 3%
Unknown 31 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 38%
Student > Ph. D. Student 5 15%
Student > Bachelor 4 12%
Student > Master 4 12%
Student > Postgraduate 3 9%
Other 3 9%
Unknown 2 6%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 29%
Agricultural and Biological Sciences 10 29%
Medicine and Dentistry 5 15%
Computer Science 2 6%
Neuroscience 2 6%
Other 2 6%
Unknown 3 9%