Bidirectional Gene Promoters

Bidirectional Gene Promoters PDF Author: Fumiaki Uchiumi
Publisher: Elsevier
ISBN: 0128194618
Category : Science
Languages : en
Pages : 236

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Book Description
Recent studies in human genetics and in silico analyses have revealed that a number of genes are head-head orientated with other genes or non-coding RNAs. The expression of regulatory element-containing 5’-upstream regions of gene pairs are referred to as bi-directional promoters and are thought to have a key role in biological regulatory mechanisms. For example, tumor suppressor protein-encoding TP53 and BRCA1 genes are head-head bound with WRAP53 and NBR2, respectively. DNA-repair factor-encoding ATM and PRKDC (DNA-PKcs) genes have bidirectional partner NPAT and MCM4, respectively. Surveillance of the human DNA database has revealed that the numbers of DNA repair/mitochondrial function/immune response-associated genes are bound with other genes that are transcribed to opposite direction. The observations may encourage us to investigate in the molecular mechanisms how DNA repair/mitochondrial function/immune response-associated genes are regulated by bidirectional promoters. Not only protein-coding genes, but also quite a few ncRNAs, which play important roles in various cellular events, are transcribed under the regulation of the bidirectional promoters. More importantly, we know that dysregulation in the promoter activity and transcription initiation of genes might cause human diseases. Provides an overview of the process of transcription Explains why there so many bidirectional promoters present in human genomes Covers how the diverse biological functions of (non-coding RNAs) ncRNAs are controlled

CpG Island-associated Bidirectional Promoter and Gene Pair at the Mouse Dihydrofolate Reductase Locus

CpG Island-associated Bidirectional Promoter and Gene Pair at the Mouse Dihydrofolate Reductase Locus PDF Author: Jong-Young Jeffrey Yen
Publisher:
ISBN:
Category :
Languages : en
Pages : 346

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Book Description


Untranslated Gene Regions and Other Non-coding Elements

Untranslated Gene Regions and Other Non-coding Elements PDF Author: Lucy W. Barrett
Publisher: Springer Science & Business Media
ISBN: 3034806795
Category : Science
Languages : en
Pages : 63

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Book Description
There is now compelling evidence that the complexity of higher organisms correlates with the relative amount of non-coding RNA rather than the number of protein-coding genes. Previously dismissed as “junk DNA”, it is the non-coding regions of the genome that are responsible for regulation, facilitating complex temporal and spatial gene expression through the combinatorial effect of numerous mechanisms and interactions working together to fine-tune gene expression. The major regions involved in regulation of a particular gene are the 5’ and 3’ untranslated regions and introns. In addition, pervasive transcription of complex genomes produces a variety of non-coding transcripts that interact with these regions and contribute to regulation. This book discusses recent insights into the regulatory roles of the untranslated gene regions and non-coding RNAs in the control of complex gene expression, as well as the implications of this in terms of organism complexity and evolution.​

Promoter Analysis Reveals Globally Differential Regulation of Human Long Non-coding RNA and Protein-coding Genes

Promoter Analysis Reveals Globally Differential Regulation of Human Long Non-coding RNA and Protein-coding Genes PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Book Description
Transcriptional regulation of protein-coding genes is increasingly well-understood on a global scale, yet no comparable information exists for long non-coding RNA (lncRNA) genes, which were recently recognized to be as numerous as protein-coding genes in mammalian genomes. We performed a genome-wide comparative analysis of the promoters of human lncRNA and protein-coding genes, finding global differences in specific genetic and epigenetic features relevant to transcriptional regulation. These two groups of genes are hence subject to separate transcriptional regulatory programs, including distinct transcription factor (TF) proteins that significantly favor lncRNA, rather than coding-gene, promoters. We report a specific signature of promoter-proximal transcriptional regulation of lncRNA genes, including several distinct transcription factor binding sites (TFBS). Experimental DNase I hypersensitive site profiles are consistent with active configurations of these lncRNA TFBS sets in diverse human cell types. TFBS ChIP-seq datasets confirm the binding events that we predicted using computational approaches for a subset of factors. For several TFs known to be directly regulated by lncRNAs, we find that their putative TFBSs are enriched at lncRNA promoters, suggesting that the TFs and the lncRNAs may participate in a bidirectional feedback loop regulatory network. Accordingly, cells may be able to modulate lncRNA expression levels independently of mRNA levels via distinct regulatory pathways. Our results also raise the possibility that, given the historical reliance on protein-coding gene catalogs to define the chromatin states of active promoters, a revision of these chromatin signature profiles to incorporate expressed lncRNA genes is warranted in the future.

Studies of H7 Gene Function and Regulation of Its Expression by a Bidirectional Promoter in Dictyostelium Discoideum

Studies of H7 Gene Function and Regulation of Its Expression by a Bidirectional Promoter in Dictyostelium Discoideum PDF Author: Qiong Zhang
Publisher:
ISBN:
Category : Dictyostelium discoideum
Languages : en
Pages : 278

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Book Description


RNA Exosome

RNA Exosome PDF Author: Torben Heick Jensen
Publisher: Springer Science & Business Media
ISBN: 1441978410
Category : Medical
Languages : en
Pages : 161

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Book Description
The diversity of RNAs inside living cells is amazing. We have known of the more “classic” RNA species: mRNA, tRNA, rRNA, snRNA and snoRNA for some time now, but in a steady stream new types of molecules are being described as it is becoming clear that most of the genomic information of cells ends up in RNA. To deal with the enormous load of resulting RNA processing and degradation reactions, cells need adequate and efficient molecular machines. The RNA exosome is arising as a major facilitator to this effect. Structural and functional data gathered over the last decade have illustrated the biochemical importance of this multimeric complex and its many co-factors, revealing its enormous regulatory power. By gathering some of the most prominent researchers in the exosome field, it is the aim of this volume to introduce this fascinating protein complex as well as to give a timely and rich account of its many functions. The exosome was discovered more than a decade ago by Phil Mitchell and David Tollervey by its ability to trim the 3’end of yeast, S. cerevisiae, 5. 8S rRNA. In a historic account they laid out the events surrounding this identification and the subsequent birth of the research field. In the chapter by Kurt Januszyk and Christopher Lima the structural organization of eukaryotic exosomes and their evolutionary counterparts in bacteria and archaea are discussed in large part through presentation of structures.

Advances in Mitochondrial Medicine

Advances in Mitochondrial Medicine PDF Author: Roberto Scatena
Publisher: Springer Science & Business Media
ISBN: 9400728697
Category : Medical
Languages : en
Pages : 459

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Book Description
Mitochondria are far more than the “powerhouse” of the cell as they have classically been described. In fact, mitochondria biological activities have progressively expanded to include not only various bioenergetic processes but also important biosynthetic pathways, calcium homeostasis and thermogenesis, cell death by apoptosis, several different signal transduction pathways mainly related to redox control of gene expression and so on. This functional and structural complexity may undergo important derangements so to justify the definition of ‘mitochondrial medicine’, which should include all the clinical consequences of congenital or acquired mitochondrial dysfunctions. There are actually a growing number of studies which assign a significant pathogenic role to damaged mitochondria in different diseases: ischemia/reperfusion injury, neurodegenerative diseases, cancer with its dramatic sequelae (i.e, metastasis), metabolic syndrome, hyperlipidemias, just to mention a few of the most important pathologies. In this context, a further aspect that should not be disregarded is the interaction of pharmacological agents with mitochondria, not only in regard of the toxicological aspects but, above all, of the potential therapeutic applications. In fact, it is interesting to note that, while the properties of different so-called “mitoxicants” are well-known, the subtle linkages between drugs and mitochondria is still in need of a real pharmacological and therapeutic control at the clinical level. This lack of consideration can often lead to an underestimation of unwanted toxic effects but also of desirable therapeutic activities. A reevaluation of the potential clinical role of mitochondria could give a new light on some yet obscure aspects of human pathophysiology.

The Dictionary of Genomics, Transcriptomics and Proteomics

The Dictionary of Genomics, Transcriptomics and Proteomics PDF Author: Guenter Kahl
Publisher: John Wiley & Sons
ISBN: 3527678646
Category : Science
Languages : en
Pages : 2742

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Book Description
Now in its fifth edition and for the first time available as an electronic product with all entries cross-linked. This very successful long-seller has once again been thoroughly updated and greatly expanded. It now contains over 13,000 entries, and comprehensively covering genomics, transcriptomics, and proteomics. Each entry contains an extensive explanation, including a comprehensive listing of synonyms and acronyms, and all formulas have been redrawn to create a uniform style, while most of the figures are custom designed for this dictionary. The ultimate reference for all terms in the -omics fields.

Human Gene Evolution

Human Gene Evolution PDF Author: David Neil Cooper
Publisher: Elsevier
ISBN: 9780121878702
Category : Science
Languages : en
Pages : 520

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Book Description
Presents the principles of human gene evolution in a concise and easy to understand fashion. Uses examples of how evolutionary processes have molded present day genes, drawn from the evolution of humans and other primates, as well as from more primitive organisms. With increasing attention in this expanding area, this review forms a timely publication of our current knowledge of this important field. Structure and function in the human genome The evolution of gene structure Mutational mechanisms in evolution

Machine Learning in Bioinformatics

Machine Learning in Bioinformatics PDF Author: Yanqing Zhang
Publisher: John Wiley & Sons
ISBN: 0470397411
Category : Computers
Languages : en
Pages : 476

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Book Description
An introduction to machine learning methods and their applications to problems in bioinformatics Machine learning techniques are increasingly being used to address problems in computational biology and bioinformatics. Novel computational techniques to analyze high throughput data in the form of sequences, gene and protein expressions, pathways, and images are becoming vital for understanding diseases and future drug discovery. Machine learning techniques such as Markov models, support vector machines, neural networks, and graphical models have been successful in analyzing life science data because of their capabilities in handling randomness and uncertainty of data noise and in generalization. From an internationally recognized panel of prominent researchers in the field, Machine Learning in Bioinformatics compiles recent approaches in machine learning methods and their applications in addressing contemporary problems in bioinformatics. Coverage includes: feature selection for genomic and proteomic data mining; comparing variable selection methods in gene selection and classification of microarray data; fuzzy gene mining; sequence-based prediction of residue-level properties in proteins; probabilistic methods for long-range features in biosequences; and much more. Machine Learning in Bioinformatics is an indispensable resource for computer scientists, engineers, biologists, mathematicians, researchers, clinicians, physicians, and medical informaticists. It is also a valuable reference text for computer science, engineering, and biology courses at the upper undergraduate and graduate levels.