Download or read book Predicting Transcription Factor Complexes written by Thorsten Will and published by Springer. This book was released on 2014-12-05 with total page 155 pages. Available in PDF, EPUB and Kindle. Book excerpt: In his master thesis Thorsten Will proposes the substantial information content of protein complexes involving transcription factors in the context of gene regulatory networks, designs the first computational approaches to predict such complexes as well as their regulatory function and verifies the practicability using data of the well-studied yeast S.cereviseae. The novel insights offer extensive capabilities towards a better understanding of the combinatorial control driving transcriptional regulation.
Download or read book Gene Regulation in Eukaryotes written by Edgar Wingender and published by Wiley-Blackwell. This book was released on 1993 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt: A much-needed guide through the overwhelming amount of literature in the field. Comprehensive and detailed, this book combines background information with the most recentinsights. It introduces current concepts, emphasizing the transcriptional control of genetic information. Moreover, it links data on the structure of regulatory proteins with basic cellular processes. Both advanced students and experts will find answers to such intriguing questions as: - How are programs of specific gene repertoires activated and controlled? - Which genes drive and control morphogenesis? - Which genes govern tissue-specific tasks? - How do hormones control gene expression in coordinating the activities of different tissues? An abundant number of clearly presented glossary terms facilitates understanding of the biological background. Speacial feature: over 2200 (!) literature references.
Download or read book A Handbook of Transcription Factors written by Timothy R. Hughes and published by Springer Science & Business Media. This book was released on 2011-05-10 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: Transcription factors are the molecules that the cell uses to interpret the genome: they possess sequence-specific DNA-binding activity, and either directly or indirectly influence the transcription of genes. In aggregate, transcription factors control gene expression and genome organization, and play a pivotal role in many aspects of physiology and evolution. This book provides a reference for major aspects of transcription factor function, encompassing a general catalogue of known transcription factor classes, origins and evolution of specific transcription factor types, methods for studying transcription factor binding sites in vitro, in vivo, and in silico, and mechanisms of interaction with chromatin and RNA polymerase.
Download or read book Cell Type Prediction of Transcription Factor Binding Sites Using Machine Learning written by Faizy Ahsan and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: "The cell type specific binding of transcription factors is known to contribute to gene regulation, resulting in the distinct functional behaviour of different cell types. The genome-wide prediction of cell type specific binding sites of transcription factors is crucial to understanding the genes regulatory network. In this thesis, a machine learning approach is developed to predict the particular cell type where a given transcription factor can bind a DNA sequence. The learning models are trained on the DNA sequences provided from the publicly available ChIP-seq experiments of the ENCODE project for 52 transcription factors across the GM12878, K562, HeLa, H1- hESC and HepG2 cell lines. Three different feature extraction methods are used based on k-mer representations, counts of known motifs and a new model called the skip-gram model, which has become very popular in the analysis of text. Three different learning algorithms are explored using these features, including support vector machines, logistic regression and k nearest neighbor classification. We achieve a mean AUC score of 0.82 over the experiments for the best classifier and feature extraction combination. The learned models, in general, performed better for the pair of cell types that have a relatively large number of cell type specific transcription factor binding sites. We find that logistic regression and known motifs based combination detect cell-type specific signatures better than a previously published method with mean AUC improvement of 0.18 and can be used to identify the interaction of transcription factors." --
Download or read book Transcription Factor Regulatory Networks written by Etsuko Miyamoto-Sato and published by Humana. This book was released on 2014-06-14 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: Transcription Factor Regulatory Methods details various techniques ranging from cutting-edge to general techniques use to study transcription factor regulatory networks. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols and key tips on troubleshooting and avoiding known pitfalls. Authoritative and practical, Transcription Factor Regulatory Methods aids scientists in the further study into post-genomic or the personal genomic era.
Download or read book Identifying Transcription Factor Targets and Studying Human Complex Disease Genes written by and published by . This book was released on 2004 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Transcription factors (TFs) have been characterized as mediators of human complex disease processes. The target genes of TFs also may be associated with disease. Identification of potential TF targets could further our understanding of gene-gene interactions underlying complex disease. We focused on two TFs, USF1 and ZNF217, because of their biological importance, especially their known genetic association with coronary artery disease (CAD), and the availability of chromatin immunoprecipitation microarray (ChIP-chip) results. First, we used USF1 ChIP-chip data as a training dataset to develop and evaluate several kernel logistic regression prediction models. Our most accurate predictor significantly outperformed standard PWM-based prediction methods. This novel prediction method enables a more accurate and efficient genome-scale identification of USF1 binding and associated target genes. Second, the results from independent linkage and gene expression studies suggest that ZNF217 also may be a candidate gene for CAD. We further investigated the role of ZNF217 for CAD in three independent CAD samples with different phenotypes. Our association studies of ZNF217 identified three SNPs having consistent association with CAD in three samples. Aorta expression profiling indicated that the proportion of the aorta with raised lesions was also positively correlated to ZNF217 expression. The combined evidence suggests that ZNF217 is a novel susceptibility gene for CAD. Finally, we applied our previously developed TF binding site (TFBS) prediction method to ZNF217. The performance of the prediction models of ZNF217 and USF1 are very similar. We demonstrated that our TFBS prediction method can be extended to other TFs. In summary, the results of this dissertation research are (1) evaluation of two TFs, USF1 and ZNF217, as susceptibility factors for CAD; (2) development of a generalized method for TFBS prediction; (3) prediction of TFBSs and target genes of two TFs, and identifica.
Download or read book Transcription Factors written by David Latchman and published by OUP Oxford. This book was released on 1999-04-08 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since the publication of the first edition five years ago, a wide range of new methodologies have been developed to facilitate studies on both isolated parts of the genome and the genome as a whole. This new edition has been updated and expanded so that it provides a comprehensive guide to the methods currently available to characterize the function and activity of an individual transcription factor. All the original chapters have been fully updated or rewritten and additional chapters cover the use of in vitro transcription assays, analysis of chromatin structure, use of the genomic binding site assay and analysis of transcription factor modifications. As with the previous edition, the book starts with a series of chapters concerned with characterizing the proteins binding to a specific DNA sequence and then a chapter on more detailed characterization of the protein itself. The next two chapters describe the isolation of cDNA clones encoding a transcription factor using oligonucleotides predicted from protein sequence and screening of a cDNA expression library. Chapter 6 deals with identification of transcription factors based on sequence homology analysis by both experimental screening and database searches. Chapter 7 is a new chapter that describes methods of identifying the target genes of a previously uncharacterized factor. The next chapters deal with analysis of transcription factor function. Chapter 8 deals with general techniques, and then the following chapters cover the specialized techniques of in vitro transcription assays using transcriptionally active nuclear extracts derived from rat brain, and analysis of the effect of transcription factors on chromatin structure. The final chapter describes methods for detecting the phosphorylation and glycosylation state of transcription factors.
Download or read book Binding Variants With More Binding Variants in English Publishing 1820 1900 written by John Carter and published by . This book was released on 1989 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Protein Dimerization and Oligomerization in Biology written by Jacqueline M. Matthews and published by Springer Science & Business Media. This book was released on 2012-09-04 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume has a strong focus on homo-oligomerization, which is surprisingly common. However, protein function is so often linked to both homo- and hetero-oligomerization and many heterologous interactions likely evolved from homologous interaction, so this volume also covers many aspects of hetero-oligomerization.
Download or read book Predicting Functional Transcription Factor Binding Sites in Human Using Interspecies Comparison written by Jimmy Hsin-Chia Chao and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: "Transcription Factor Binding Sites (TFBS) are regions in the genome where Transcription Factor (TF) proteins bind in order to regulate the rate of transcription of one or more nearby genes. As TF plays an important role in gene regulation, much research has been directed at understanding the behavior and mechanism of these proteins in the hopes of gaining a better understand of the gene regulatory network in cells. A part of this on-going research is the discovery of TFBS. Protein-DNA interaction experiments, such as ChIP-Seq can accurately identify locations of TFBS on the genome in vivo. However, one major drawback of experimental methods is its time and cost. Computational methods have been proposed that finds TFBS by scanning the genome looking for matches to the sequence preference of TF; but this method faces the issue of high false positive rate. In our research, we develop a new method that filters out these false positive predictions by training a Support Vector Machine (SVM) classifier that learns whether a computationally inferred TFBS is biologically functional based on inter-species conservation and the presence of other TF. Using the genome of 35 species as well as the inferred genome of their ancestors and the data of 38 different TF, we were able to build a classifier that could predict with up to 90% accuracy whether a computationally predicted TFBS is biologically functional for many of the TF we investigated." --
Download or read book Computational Genomics with R written by Altuna Akalin and published by CRC Press. This book was released on 2020-12-16 with total page 462 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Genomics with R provides a starting point for beginners in genomic data analysis and also guides more advanced practitioners to sophisticated data analysis techniques in genomics. The book covers topics from R programming, to machine learning and statistics, to the latest genomic data analysis techniques. The text provides accessible information and explanations, always with the genomics context in the background. This also contains practical and well-documented examples in R so readers can analyze their data by simply reusing the code presented. As the field of computational genomics is interdisciplinary, it requires different starting points for people with different backgrounds. For example, a biologist might skip sections on basic genome biology and start with R programming, whereas a computer scientist might want to start with genome biology. After reading: You will have the basics of R and be able to dive right into specialized uses of R for computational genomics such as using Bioconductor packages. You will be familiar with statistics, supervised and unsupervised learning techniques that are important in data modeling, and exploratory analysis of high-dimensional data. You will understand genomic intervals and operations on them that are used for tasks such as aligned read counting and genomic feature annotation. You will know the basics of processing and quality checking high-throughput sequencing data. You will be able to do sequence analysis, such as calculating GC content for parts of a genome or finding transcription factor binding sites. You will know about visualization techniques used in genomics, such as heatmaps, meta-gene plots, and genomic track visualization. You will be familiar with analysis of different high-throughput sequencing data sets, such as RNA-seq, ChIP-seq, and BS-seq. You will know basic techniques for integrating and interpreting multi-omics datasets. Altuna Akalin is a group leader and head of the Bioinformatics and Omics Data Science Platform at the Berlin Institute of Medical Systems Biology, Max Delbrück Center, Berlin. He has been developing computational methods for analyzing and integrating large-scale genomics data sets since 2002. He has published an extensive body of work in this area. The framework for this book grew out of the yearly computational genomics courses he has been organizing and teaching since 2015.
Download or read book Data Integration in the Life Sciences written by Sarah Cohen-Boulakia and published by Springer Science & Business Media. This book was released on 2008-06-11 with total page 221 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 5th International Workshop on Data Integration in the Life Sciences, DILS 2008, held in Evry, France in June 2008. The 18 revised full papers presented together with 3 keynote talks and a tutorial paper were carefully reviewed and selected from 54 submissions. The papers adress all current issues in data integration and data management from the life science point of view and are organized in topical sections on Semantic Web for the life sciences, designing and evaluating architectures to integrate biological data, new architectures and experience on using systems, systems using technologies from the Semantic Web for the life sciences, mining integrated biological data, and new features of major resources for biomolecular data.
Download or read book Long Range Control of Gene Expression written by Veronica van Heyningen and published by Academic Press. This book was released on 2011-09-02 with total page 415 pages. Available in PDF, EPUB and Kindle. Book excerpt: Long-Range Control of Gene Expression covers the current progress in understanding the mechanisms for genomic control of gene expression, which has grown considerably in the last few years as insight into genome organization and chromatin regulation has advanced. Discusses the evolution of cis-regulatory sequences in drosophila Includes information on genomic imprinting and imprinting defects in humans Includes a chapter on epigenetic gene regulation in cancer
Download or read book The Cell Biology of Stem Cells written by Eran Meshorer and published by Springer Science & Business Media. This book was released on 2011-01-11 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: Stem cells have been gaining a lot of attention in recent years. Their unique potential to self-renew and differentiate has turned them into an attractive model for the study of basic biological questions such as cell division, replication, transcription, cell fate decisions, and more. With embryonic stem (ES) cells that can generate each cell type in the mammalian body and adult stem cells that are able to give rise to the cells within a given lineage, basic questions at different developmental stages can be addressed. Importantly, both adult and embryonic stem cells provide an excellent tool for cell therapy, making stem cell research ever more pertinent to regenerative medicine. As the title The Cell Biology of Stem Cells suggests, our book deals with multiple aspects of stem cell biology, ranging from their basic molecular characteristics to the in vivo stem cell trafficking of adult stem cells and the adult stem-cell niche, and ends with a visit to regeneration and cell fate reprogramming. In the first chapter, “Early embryonic cell fate decisions in the mouse”, Amy Ralson and Yojiro Yamanaka describe the mechanisms that support early developmental decisions in the mouse pre-implantation embryo and the current understanding of the source of the most immature stem cell types, which includes ES cells, trophoblast stem (TS) cells and extraembryonic endoderm stem (XEN) cells.
Download or read book Prediction of Transcription Factor Binding Sites Using Information from Multiple Species written by Elizabeth Allan Siewert and published by . This book was released on 2010 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Nuclear Dynamics written by K. Nagata and published by Springer Science & Business Media. This book was released on 2007-12-03 with total page 285 pages. Available in PDF, EPUB and Kindle. Book excerpt: The dynamics of nuclear structures described in this book furnish the basis for a comprehensive understanding of how the higher-order organization and function of the nucleus is established and how it correlates with the expression of a variety of vital activities such as cell proliferation and differentiation. The resulting volume creates an invaluable source of reference for researchers in the field.
Download or read book Bioinformatics of Genome Regulation and Structure written by Nikolay Kolchanov and published by Springer Science & Business Media. This book was released on 2013-06-05 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: - The data gathered can be used to solve a wide range of problems - for basic science and applied science
