The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Loss of the abundant nuclear non-coding RNA MALAT1 is compatible with life and development
Open accessAbstract
The metastasis-associated lung adenocarcinoma transcript 1, MALAT1, is a long non-coding RNA (lncRNA) that has been discovered as a marker for lung cancer metastasis. It is highly abundant, its expression is strongly regulated in many tumor entities including lung adenocarcinoma and hepatocellular carcinoma as well as physiological processes, and it is associated with many RNA binding proteins and highly conserved throughout evolution. The nuclear transcript MALAT-1 has been functionally associated with gene regulation and alternative splicing and its regulation has been shown to impact proliferation, apoptosis, migration and invasion. Here, we have developed a human and a mouse knockout system to study the loss-of-function phenotypes of this important ncRNA. In human tumor cells, MALAT1 expression was abrogated using Zinc Finger Nucleases. Unexpectedly, the quantitative loss of MALAT1 did neither affect proliferation nor cell cycle progression nor nuclear architecture in human lung or liver cancer cells. Moreover, genetic loss of Malat1 in a knockout mouse model did not give rise to any obvious phenotype or histological abnormalities in Malat1-null compared with wild-type animals. Thus, loss of the abundant nuclear long ncRNA MALAT1 is compatible with cell viability and normal development.
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Cites
The ENCODE Project Consortium (2007) · Nature · doi:10.1038/nature05874 · Cited by 5,223
Long Noncoding RNA as Modular Scaffold of Histone Modification Complexes
Tsai, M.-C., Manor, O., Wan, Y., Mosammaparast, N., Wang, J. K., Lan, F., Shi, Y., Segal, E., & Chang, H. Y. (2010) · Science · doi:10.1126/science.1192002 · Cited by 3,290 · cited 1×
“[6] [7] [8] Individual long ncRNAs have been implicated e.g., in gene regulation, [9] [10] [11] splicing control, [12] [13] [14] or X chromosome dosage compensation.”
BackgroundClemson, C. M., Hutchinson, J. N., Sara, S. A., Ensminger, A. W., Fox, A. H., Chess, A., & Lawrence, J. B. (2009) · Molecular Cell · doi:10.1016/j.molcel.2009.01.026 · Cited by 1,445
Schwenk, F., Baron, U., & Rajewsky, K. (1995) · Nucleic Acids Research · doi:10.1093/nar/23.24.5080 · Cited by 1,289
Transcriptome-wide Analysis of Regulatory Interactions of the RNA-Binding Protein HuR
Lebedeva, S., Jens, M., Theil, K., Schwanhäusser, B., Selbach, M., Landthaler, M., & Rajewsky, N. (2011) · Molecular Cell · doi:10.1016/j.molcel.2011.06.008 · Cited by 716
Cited by
The emerging role of lncRNAs in cancer
Huarte, M. (2015) · Nature Medicine · doi:10.1038/nm.3981 · Cited by 2,702
Long Noncoding RNAs: Cellular Address Codes in Development and Disease
Batista, P. J., & Chang, H. Y. (2013) · Cell · doi:10.1016/j.cell.2013.02.012 · Cited by 2,531
Long non-coding RNAs: definitions, functions, challenges and recommendations
Mattick, J. S., Amaral, P. P., Carninci, P., Carpenter, S., Chang, H. Y., Chen, L.-L., Chen, R., Dean, C., Dinger, M. E., Fitzgerald, K. A., et al. (2023) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-022-00566-8 · Cited by 2,356
Long noncoding RNAs: past, present, and future
Kung, J. T. Y., Colognori, D., & Lee, J. T. (2013) · Genetics · doi:10.1534/genetics.112.146704 · Cited by 1,874
The Noncoding RNA MALAT1 Is a Critical Regulator of the Metastasis Phenotype of Lung Cancer Cells
Gutschner, T., Hämmerle, M., Eißmann, M., Hsu, J., Kim, Y., Hung, G., Revenko, A., Arun, G., Stentrup, M., Groß, M., et al. (2013) · Cancer Research · doi:10.1158/0008-5472.can-12-2850 · Cited by 1,415
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Metadata
- Authors
- Eißmann, M., Gutschner, T., Hämmerle, M., Günther, S., Caudron-Herger, M., Groß, M., Schirmacher, P., Rippe, K., Braun, T., Zörnig, M., & Diederichs, S.
- Venue
- RNA Biology
- Publisher
- Informa UK Limited
- Published
- 2012-08
- Volume
- 9
- Issue
- 8
- Pages
- 1076-1087
- ISSN
- 1547-6286 (ISSN-L)
- 1555-8584
- OpenAlex
- W2052308608
- Cited by
- 395
- References
- 5
- FWCI
- 10.27
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Eißmann, M., Gutschner, T., Hämmerle, M., Günther, S., Caudron-Herger, M., Groß, M., Schirmacher, P., Rippe, K., Braun, T., Zörnig, M., & Diederichs, S. (2012). Loss of the abundant nuclear non-coding RNA MALAT1 is compatible with life and development. RNA Biology. https://doi.org/10.4161/rna.21089
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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