Open AccessJournal Article
Oncomirs : microRNAs with a role in cancer
TLDR
I MicroRNAs (miRNAs) are an abundant class of small non-protein-coding RNAs that function as negative gene regulators as discussed by the authors, and have been shown to repress the expression of important cancer-related genes and might prove useful in the diagnosis and treatment of cancer.Abstract:
I MicroRNAs (miRNAs) are an abundant class of small non-protein-coding RNAs that function as negative gene regulators. They regulate diverse biological processes, and bioinformatic data indicates that each miRNA can control hundreds of gene targets, underscoring the potential influence of miRNAs on almost every genetic pathway. Recent evidence has shown that miRNA mutations or mis-expression correlate with various human cancers and indicates that miRNAs can function as tumour suppressors and oncogenes. miRNAs have been shown to repress the expression of important cancer-related genes and might prove useful in the diagnosis and treatment of cancer.read more
Citations
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miR-133b regulates the MET proto-oncogene and inhibits the growth of colorectal cancer cells in vitro and in vivo.
TL;DR: Evidence is provided that miR-133b regulated tumor cell proliferation and apoptosis through modulation of the MET signaling pathway.
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The miR-200 family and the miR-183~96~182 cluster target Foxf2 to inhibit invasion and metastasis in lung cancers
Samrat T. Kundu,Lauren Averett Byers,David H. Peng,Jonathon D. Roybal,Lixia Diao,Jing Wang,Pan Tong,Chad J. Creighton,Chad J. Creighton,Don L. Gibbons +9 more
TL;DR: It is identified that the expression of microRNAs from the miR-200 family and themiR-183~96~182 cluster are significantly co-repressed in non-small cell lung cancer cell lines and primary tumors from multiple TCGA dataset with high EMT scores.
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MiR-27 as a Prognostic Marker for Breast Cancer Progression and Patient Survival
TL;DR: Univariate and multivariate analysis showed that both miR-27a and ZBTB10 were independent prognostic factors of disease-free survival in breast cancer patients (P <0.001), while only miR -27a was an independent predictor of overall survival (P<0.01).
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Genome-Wide MicroRNA Expression Analysis of Clear Cell Renal Cell Carcinoma by Next Generation Deep Sequencing
Susanne Osanto,Yongjun Qin,Henk P. J. Buermans,Johannes Berkers,Evelyne Lerut,Jelle J. Goeman,Hendrik Van Poppel +6 more
TL;DR: It was found that 100 miRNAs were significantly differentially expressed between ccRCC and NRC, and Quantitative genome-wide miRNA profiling accurately separatedccRCC from (benign) NRC.
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A Novel Serum 4-microRNA Signature for Lung Cancer Detection.
Ernest Nadal,Anna Truini,Asuka Nakata,Jules Lin,Rishindra M. Reddy,Andrew C. Chang,Nithya Ramnath,Noriko Gotoh,David G. Beer,Guoan Chen +9 more
TL;DR: A serum 4-miRNA signature was identified that discriminated with high accuracy lung cancer patients from NC and further prospective validation of this miRNA signature is warranted.
References
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Journal ArticleDOI
MicroRNAs: Genomics, Biogenesis, Mechanism, and Function
TL;DR: Although they escaped notice until relatively recently, miRNAs comprise one of the more abundant classes of gene regulatory molecules in multicellular organisms and likely influence the output of many protein-coding genes.
Journal ArticleDOI
The C. elegans heterochronic gene lin-4 encodes small RNAs with antisense complementarity to lin-14
TL;DR: Two small lin-4 transcripts of approximately 22 and 61 nt were identified in C. elegans and found to contain sequences complementary to a repeated sequence element in the 3' untranslated region (UTR) of lin-14 mRNA, suggesting that lin- 4 regulates lin- 14 translation via an antisense RNA-RNA interaction.
Journal ArticleDOI
MicroRNA expression profiles classify human cancers
Jun Lu,Gad Getz,Eric A. Miska,Eric A. Miska,Ezequiel Alvarez-Saavedra,Justin Lamb,David Peck,Alejandro Sweet-Cordero,Alejandro Sweet-Cordero,Benjamin L. Ebert,Benjamin L. Ebert,Raymond H. Mak,Raymond H. Mak,Adolfo A. Ferrando,James R. Downing,Tyler Jacks,H. Robert Horvitz,H. Robert Horvitz,Todd R. Golub,Todd R. Golub,Todd R. Golub +20 more
TL;DR: A new, bead-based flow cytometric miRNA expression profiling method is used to present a systematic expression analysis of 217 mammalian miRNAs from 334 samples, including multiple human cancers, and finds the miRNA profiles are surprisingly informative, reflecting the developmental lineage and differentiation state of the tumours.
Journal ArticleDOI
Prediction of Mammalian MicroRNA Targets
TL;DR: The predicted regulatory targets of mammalian miRNAs were enriched for genes involved in transcriptional regulation but also encompassed an unexpectedly broad range of other functions.
Journal ArticleDOI
The nuclear RNase III Drosha initiates microRNA processing
Yoontae Lee,Chiyoung Ahn,Jinju Han,Hyounjeong Choi,Jaekwang Kim,Jeongbin Yim,Junho Lee,Patrick Provost,Olof Rådmark,Sun-Young Kim,V. Narry Kim +10 more
TL;DR: The two RNase III proteins, Drosha and Dicer, may collaborate in the stepwise processing of miRNAs, and have key roles in miRNA-mediated gene regulation in processes such as development and differentiation.
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