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Analysis of long non-coding RNA expression profiles in gastric cancer

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TLDR
A set of lncRNAs differentially expressed in gastric cancer is identified, providing useful information for discovery of new biomarkers and therapeutic targets in Gastric cancer.
Abstract
CONCLUSION: We identified a set of lncRNAs differentially expressed in gastric cancer, providing useful information for discovery of new biomarkers and therapeutic targets in gastric cancer.

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MicroRNAs: Target Recognition and Regulatory Functions

TL;DR: In this article, a review outlines the current understanding of miRNA target recognition in animals and discusses the widespread impact of miRNAs on both the expression and evolution of protein-coding genes.
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Revealing protein–lncRNA interaction

TL;DR: The in silico inference methods developed for the accurate computational prediction of the interaction of RBP–lncRNA pairs offer essential clues for a better understanding of lncRNA cellular mechanisms and their disease-associated perturbations.
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Long noncoding RNAs: Novel insights into hepatocelluar carcinoma

TL;DR: The regulation and functional role of lncRNAs in HCC is discussed and the potential of lNCRNAs as prospective novel therapeutic targets in H CC is evaluated.
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Targeting the Notch-regulated non-coding RNA TUG1 for glioma treatment

TL;DR: It is found that Notch1 activation in GSCs specifically induces expression of the lncRNA, TUG1, which highlights the importance of the Notch-lncRNA axis in regulating self-renewal of glioma cells and provides a strong rationale for targeting Tug1 as a specific and potent therapeutic approach to eliminate the GSC population.
References
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Journal ArticleDOI

MicroRNAs: Target Recognition and Regulatory Functions

TL;DR: The current understanding of miRNA target recognition in animals is outlined and the widespread impact of miRNAs on both the expression and evolution of protein-coding genes is discussed.
Journal ArticleDOI

BLAST+: architecture and applications.

TL;DR: The new BLAST command-line applications, compared to the current BLAST tools, demonstrate substantial speed improvements for long queries as well as chromosome length database sequences.
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Linear Models and Empirical Bayes Methods for Assessing Differential Expression in Microarray Experiments

TL;DR: The hierarchical model of Lonnstedt and Speed (2002) is developed into a practical approach for general microarray experiments with arbitrary numbers of treatments and RNA samples and the moderated t-statistic is shown to follow a t-distribution with augmented degrees of freedom.
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Exploration, normalization, and summaries of high density oligonucleotide array probe level data

TL;DR: There is no obvious downside to using RMA and attaching a standard error (SE) to this quantity using a linear model which removes probe-specific affinities, and the exploratory data analyses of the probe level data motivate a new summary measure that is a robust multi-array average (RMA) of background-adjusted, normalized, and log-transformed PM values.
Journal ArticleDOI

Long non-coding RNA HOTAIR reprograms chromatin state to promote cancer metastasis

TL;DR: It is shown that lincRNAs in the HOX loci become systematically dysregulated during breast cancer progression, indicating that l incRNAs have active roles in modulating the cancer epigenome and may be important targets for cancer diagnosis and therapy.
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