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MALAT1 — a paradigm for long noncoding RNA function in cancer

Overview of attention for article published in Journal of Molecular Medicine, March 2013
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Title
MALAT1 — a paradigm for long noncoding RNA function in cancer
Published in
Journal of Molecular Medicine, March 2013
DOI 10.1007/s00109-013-1028-y
Pubmed ID
Authors

Tony Gutschner, Monika Hämmerle, Sven Diederichs

Abstract

The metastasis-associated lung adenocarcinoma transcript 1 (MALAT1) is a bona fide long noncoding RNA (lncRNA). MALAT1, also known as nuclear-enriched transcript 2 (NEAT2), was discovered as a prognostic marker for lung cancer metastasis but also has been linked to several other human tumor entities. Recent work established a critical regulatory function of this lncRNA in lung cancer metastasis and cell migration. Moreover, MALAT1 is an interesting target for antimetastatic therapy in non-small cell lung carcinoma. Two alternative modes of action have been proposed for MALAT1: regulation of gene expression or alternative splicing. Although the exact mechanism of action in different physiological and pathological conditions still needs to be elucidated, MALAT1 acts as a regulator of gene expression. Although MALAT1 is highly evolutionary conserved in mammals and plays an important role in cancer and metastasis, MALAT1 is not essential for development in a knockout mouse model under normal physiological conditions. Hence, one central question for the future is finding the right stressor and the pathological or environmental condition which requires MALAT1 expression in vivo and entailing its strong evolutionary conservation. Here, we summarize the current knowledge about this important lncRNA. We introduce its discovery, biogenesis, and regulation and describe its known functions, mechanisms of action, and interaction partners.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 378 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Turkey 1 <1%
France 1 <1%
Norway 1 <1%
United Kingdom 1 <1%
Iran, Islamic Republic of 1 <1%
China 1 <1%
United States 1 <1%
Unknown 371 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 104 28%
Researcher 49 13%
Student > Master 42 11%
Student > Bachelor 40 11%
Student > Doctoral Student 22 6%
Other 56 15%
Unknown 65 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 120 32%
Agricultural and Biological Sciences 102 27%
Medicine and Dentistry 48 13%
Chemistry 12 3%
Neuroscience 6 2%
Other 20 5%
Unknown 70 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 May 2013.
All research outputs
#18,337,420
of 22,708,120 outputs
Outputs from Journal of Molecular Medicine
#1,248
of 1,548 outputs
Outputs of similar age
#150,158
of 197,767 outputs
Outputs of similar age from Journal of Molecular Medicine
#13
of 16 outputs
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We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.