Cervical cancer is a significant public health problem in developing countries, as most cases present at an advanced stage. This review aimed to analyze the role of noncoding rnas as diagnostic and prognostic biomarke...
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Cervical cancer is a significant public health problem in developing countries, as most cases present at an advanced stage. This review aimed to analyze the role of noncoding rnas as diagnostic and prognostic biomarkers in cervical cancers. Published studies on specific microrna signatures in body fluids and cervical cancer tissues are highly heterogeneous, and there are no validated assays. The precision of the various immune-associated long noncoding (lncrna) signatures should be assessed in clinical samples. Even though lncrnas are tissue and cancer-specific, safe and appropriate methods for delivery to tumor tissues, toxicities and side effects are to be explored. Few studies have evaluated deregulated lncrna expression levels with clinicopathological factors in a limited number of clinical samples. Prospective studies assessing the diagnostic and prognostic roles of circulating lncrnas and P-Element-induced wimpy testis interacting PIWI rnas (Piwil rnas) in cervical cancer cases are essential. For the clinical application of lnc-rna-based biomarkers, comprehensive research is needed as the impact of noncoding transcripts on molecular pathways is complex. The standardization and validation of deregulated ncrnas in noninvasive samples of cervical cancer cases are needed.
Homocysteine (Hcy) is a thiol-containing amino acid formed during methionine metabolism. Elevated level of Hcy is known as hyperhomocysteinemia (HHcy). HHcy is an independent risk factor for cerebrovascular diseases s...
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Homocysteine (Hcy) is a thiol-containing amino acid formed during methionine metabolism. Elevated level of Hcy is known as hyperhomocysteinemia (HHcy). HHcy is an independent risk factor for cerebrovascular diseases such as stroke, dementia, Alzheimer's disease, etc. Stroke, which is caused by interruption of blood supply to the brain, is one of the leading causes of death and disability in a number of people worldwide. The HHcy causes an increased carotid artery plaque that may lead to ischemic stroke but the mechanism is currently not well understood. Though mutations or polymorphisms in the key genes of Hcy metabolism pathway have been well elucidated in stroke, emerging evidences suggested epigenetic mechanisms equally play an important role in stroke development such as DNA methylation, chromatin remodeling, rna editing, noncoding rnas (ncrnas), and micrornas (mirnas). However, there is no review available yet that describes the role of genetics and epigenetics during HHcy in stroke. The current review highlights the role of genetics and epigenetics in stroke during HHcy and the role of epigenetics in its therapeutics. The review also highlights possible epigenetic mechanisms, potential therapeutic molecules, putative challenges, and approaches to deal with stroke during HHcy.
Directional association measured by functional dependency can answer important questions on relationships between variables, for example, in discovery of molecular interactions in biological systems. However, when one...
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Directional association measured by functional dependency can answer important questions on relationships between variables, for example, in discovery of molecular interactions in biological systems. However, when one has no prior information about the functional form of a directional association, there is not a widely established statistical procedure to detect such an association. To address this issue, here we introduce an exact functional test for directional association by examining the strength of functional dependency. It is effective in promoting functional patterns by reducing statistical power on dependent non-functional patterns. We designed an algorithm to carry out the test using a fast branch-and-bound strategy, which achieved a substantial speedup over brute-force enumeration. On data from an epidemiological study of liver cancer, the test identified the hepatitis status of a subject as the most influential risk factor among others for the cancer phenotype. On human lung cancer transcriptome data, the test selected 1068 transcription start sites of putative noncoding rnas directionally associated with the presence or absence of lung cancer, stronger than 95 percent transcription start sites of 694 curated cancer genes. These predictions include non-monotonic interaction patterns, to which other routine tests were insensitive. Complementing symmetric (non-directional) association methods such as Fisher's exact test, the exact functional test is a unique exact statistical test for evaluating evidence for causal relationships.
Polycomb group (PcG) and Trithorax group (TrxG) proteins work, respectively, to maintain repressed or active transcription states of developmentally regulated genes through cell division. Data accumulated in the recen...
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Polycomb group (PcG) and Trithorax group (TrxG) proteins work, respectively, to maintain repressed or active transcription states of developmentally regulated genes through cell division. Data accumulated in the recent years have increased our understanding of the mechanisms by which PcG and TrxG proteins regulate gene expression. The discovery that histone methylation can serve as a specific mark for PcG and TrxG complexes has provided new insight into the mechanistic function of this cell-memory system.
Genomic analyses have demonstrated that although less than 2% of the mammalian genome encodes proteins, at least two thirds is transcribed. Many nontranslated rnas have now been characterized, and several long transcr...
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Genomic analyses have demonstrated that although less than 2% of the mammalian genome encodes proteins, at least two thirds is transcribed. Many nontranslated rnas have now been characterized, and several long transcripts, ranging from 0.5 to over 100 kb, have been shown to regulate gene expression by modifying chromatin structure. Functions uncovered at a few well characterized loci demonstrate a wide diversity of mechanisms by which long noncoding rnas can regulate chromatin over a single promoter, a gene cluster, or an entire chromosome, in order to activate or silence genes in cis or in trans. In reviewing the activities of these ncrnas, we will look for common features in their interactions with the chromatin modifying machinery, and highlight new experimental approaches by which to address outstanding issues in ncrna-dependent regulation of gene expression in development, disease and evolution. (C) 2008 Elsevier B.V. All rights reserved.
Auto-immune diseases are a form of chronic disorders in which the immune system destroys the body's cells due to a loss of tolerance to self-antigens. Systemic lupus erythematosus (SLE), identified by the producti...
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Auto-immune diseases are a form of chronic disorders in which the immune system destroys the body's cells due to a loss of tolerance to self-antigens. Systemic lupus erythematosus (SLE), identified by the production of autoantibodies in different body parts, is one of the most well-known examples of these diseases. Although the etiology of SLE is unclear, the disease's progression may be affected by genetic and environmental factors. As studies in twins provide adequate evidence for genetic involvement in the SLE, other phenomena such as metallization, histone modifications, and alterations in the expression of noncoding rnas (ncrnas) also indicate the involvement of epigenetic factors in this disease. Among all the epigenetic alterations, ncrnas appear to have the most crucial contribution to the pathogenesis of SLE. The ncrnas' length and size are divided into three main classes: micro rnas, long noncoding rnas (Lncrna), and circular rnas (circrnas). Accumulating evidence suggests that dysregulations in these ncrnas contributed to the pathogenesis of SLE. Hence, clarifying the function of these groups of ncrnas in the pathophysiology of SLE provides a deeper understanding of the disease. It also opens up new opportunities to develop targeted therapies for this disease.
Long noncoding rnas (lncrnas) are noncoding rnas with transcript length more than 200 nucleotides. Although poorly conserved, lncrnas are expressed across diverse species, including plants and animals, and are known t...
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Long noncoding rnas (lncrnas) are noncoding rnas with transcript length more than 200 nucleotides. Although poorly conserved, lncrnas are expressed across diverse species, including plants and animals, and are known to be involved in regulation of various biological processes. To understand their biological significance, we first need to identify the lncrnas accurately. However, distinguishing lncrnas from coding transcripts is still a challenging task. Here, we describe a machine learning-based approach to accurately identify the plant lncrnas. We describe the usage of plant long noncoding rna prediction by random forests (PLncPRO), which employs machine learning-based random forest algorithm to recognize the lncrnas from the set of given transcript sequences. Stepwise instructions have been provided to use PLncPRO to annotate the lncrna sequences.
Long intergenic noncoding rnas (lincrnas) have caught increasing attention in recent years. The advance of rna-Seq has greatly facilitated the discovery of novel lincrnas. However, the computational analysis of lincRN...
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Long intergenic noncoding rnas (lincrnas) have caught increasing attention in recent years. The advance of rna-Seq has greatly facilitated the discovery of novel lincrnas. However, the computational analysis of lincrnas is still challenging. In this protocol, we presented a step-by-step protocol for computational analyses of lincrnas, including read processing and alignment, transcript assembly, lincrna identification and annotation, and differential expression analysis. less
Only a small fraction of the human genome corresponds to protein-coding genes. Historically, the vast majority of genomic sequence was dismissed as transcriptionally silent, but recent large-scale investigations have ...
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Only a small fraction of the human genome corresponds to protein-coding genes. Historically, the vast majority of genomic sequence was dismissed as transcriptionally silent, but recent large-scale investigations have instead revealed a rich array of functionally significant elements, including non-protein-coding transcripts, within the noncoding regions of the human genome. Long noncoding rnas (lncrnas), a class of noncoding transcripts with lengths >200 nucleotides, are pervasively transcribed in the genome, and have been shown to bind DNA, rna, and protein. Lncrnas exert effects through a variety of mechanisms that include guiding chromatin-modifying complexes to specific genomic loci, providing molecular scaffolds, modulating transcriptional programs, and regulating mirna expression. An increasing number of experimental studies are providing evidence that lncrnas mediate disease pathogenesis, thereby challenging the concept that protein-coding genes are the sole contributors to the development of human disease. This chapter highlights recent findings linking lncrnas with human diseases of complex etiology, including hepatocellular carcinoma, Alzheimer’s disease, and diabetes. less
De novo lipogenesis (DNL), a hallmark of cancer, facilitates tumor growth and metastasis. Therapeutic drugs targeting DNL are being developed. However, how DNL is directly regulated in cancer remains largely unknown. ...
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De novo lipogenesis (DNL), a hallmark of cancer, facilitates tumor growth and metastasis. Therapeutic drugs targeting DNL are being developed. However, how DNL is directly regulated in cancer remains largely unknown. Here, transcription factor sine oculis homeobox 1 (SIX1) is shown to directly increase the expression of DNL-related genes, including ATP citrate lyase (ACLY), fatty acid synthase (FASN), and stearoyl-CoA desaturase 1 (SCD1), via histone acetyltransferases amplified in breast cancer 1 (AIB1) and lysine acetyltransferase 7 (HBO1/KAT7), thus promoting lipogenesis. SIX1 expression is regulated by insulin/lncrna DGUOK-AS1/microrna-145-5p axis, which also modulates DNL-related gene expression as well as DNL. The DGUOK-AS1/microrna-145-5p/SIX1 axis regulates liver cancer cell proliferation, invasion, and metastasis in vitro and in vivo. In patients with liver cancer, SIX1 expression is positively correlated with DGUOK-AS1 and SCD1 expression and is negatively correlated with microrna-145-5p expression. DGUOK-AS1 is a good predictor of prognosis. Thus, the DGUOK-AS1/microrna-145-5p/SIX1 axis strongly links DNL to tumor growth and metastasis and may become an avenue for liver cancer therapeutic intervention.
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