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Identification and Characterization of Novel Genotoxic Stress-Inducible Nuclear Long Noncoding RNAs in Mammalian Cells

Overview of attention for article published in PLOS ONE, April 2012
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Title
Identification and Characterization of Novel Genotoxic Stress-Inducible Nuclear Long Noncoding RNAs in Mammalian Cells
Published in
PLOS ONE, April 2012
DOI 10.1371/journal.pone.0034949
Pubmed ID
Authors

Rena Mizutani, Ai Wakamatsu, Noriyuki Tanaka, Hiroshi Yoshida, Naobumi Tochigi, Yoshio Suzuki, Tadahiro Oonishi, Hidenori Tani, Keiko Tano, Kenichi Ijiri, Takao Isogai, Nobuyoshi Akimitsu

Abstract

Whole transcriptome analyses have revealed a large number of novel transcripts including long and short noncoding RNAs (ncRNAs). Currently, there is great interest in characterizing the functions of the different classes of ncRNAs and their relevance to cellular processes. In particular, nuclear long ncRNAs may be involved in controlling various aspects of biological regulation, such as stress responses. By a combination of bioinformatic and experimental approaches, we identified 25 novel nuclear long ncRNAs from 6,088,565 full-length human cDNA sequences. Some nuclear long ncRNAs were conserved among vertebrates, whereas others were found only among primates. Expression profiling of the nuclear long ncRNAs in human tissues revealed that most were expressed ubiquitously. A subset of the identified nuclear long ncRNAs was induced by the genotoxic agents mitomycin C or doxorubicin, in HeLa Tet-off cells. There were no commonly altered nuclear long ncRNAs between mitomycin C- and doxorubicin-treated cells. These results suggest that distinct sets of nuclear long ncRNAs play roles in cellular defense mechanisms against specific genotoxic agents, and that particular long ncRNAs have the potential to be surrogate indicators of a specific cell stress.

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Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 5%
United Kingdom 1 3%
Unknown 36 92%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 28%
Student > Ph. D. Student 10 26%
Researcher 8 21%
Other 3 8%
Professor > Associate Professor 1 3%
Other 1 3%
Unknown 5 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 17 44%
Biochemistry, Genetics and Molecular Biology 7 18%
Medicine and Dentistry 2 5%
Neuroscience 2 5%
Environmental Science 1 3%
Other 5 13%
Unknown 5 13%