Regulation Without Protein Transcription Factors PDF Download
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Author: Melanie Marie Barker
Publisher:
ISBN:
Category :
Languages : en
Pages : 354
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Book Description
Author: Melanie Marie Barker
Publisher:
ISBN:
Category :
Languages : en
Pages : 354
Get Book Here
Book Description
Author: Willis X. Li
Publisher: Springer Nature
ISBN: 3031290291
Category : Science
Languages : en
Pages : 62
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Book Description
This SpringerBrief explores unconventional functions of eight different transcription factors and concludes with a discussion of their biological significance and impact, including effects on processes within the cell nucleaus during development and in adult organisms. Chapter One details unconventional functions of the transcription factors GAGA, HP1, Rb, STAT, ATF-2 and NF-kB. Surprisingly, all of these transcription factors can be found in association with heterochromatin as well as euchromatin, and in some cases unconventional functions have been demonstrated for these heterochromatin-associated factors. Chapter Two focuses on the unconventional functions of STAT and HP1 and discusses their roles in the promotion of longevity, and in protection from cancer and DNA damage. Chapter Three explores the biological significance of the findings presented in the first two chapters and considers how global changes in the epigenome brought about by factors such as STAT and HP1 might affect processes within the cell nucleus during development and in adult organisms. This succinct yet thorough SpringerBrief is essential for researchers studying epigenetics, and to instructors of the subject. It should also appeal to people interested in the control of gene transcription and other processes in the cell nucleus, and to those interested in development.
Author: Timothy R. Hughes
Publisher: Springer Science & Business Media
ISBN: 904819069X
Category : Medical
Languages : en
Pages : 310
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Book Description
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.
Author:
Publisher:
ISBN: 9780815332183
Category : Cells
Languages : en
Pages : 0
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Book Description
Author: Andrew Arthur Travers
Publisher: Oxford University Press, USA
ISBN: 9780199636914
Category : Medical
Languages : en
Pages : 416
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Book Description
DNA-Protein Interactions is a novel compilation of methods for studying the interactions of proteins with DNA. It is a rapidly advancing research area in which multidisciplinary approaches are especially valuable for solving problems and obtaining a detailed understanding of the molecular regulatory interactions involved. This book covers all the major tools that are required for the study of the large macromolecular enzymatic machines that manipulate DNA, with particular emphasis on biophysical techniques applied to the analysis of transcription and its relation to chromatin structure. Knowledge of basic techniques is assumed, although advances in fundamental fields are covered.
Author: Athanasios Papavassiliou
Publisher: International Thomson Publishing Services
ISBN:
Category : Medical
Languages : en
Pages : 388
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Book Description
Author: Martin J. Tymms
Publisher: Springer Science & Business Media
ISBN: 159259686X
Category : Medical
Languages : en
Pages : 304
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Book Description
The effort to sequence the human genome is now moving toward a c- clusion. As all of the protein coding sequences are described, an increasing emphasis will be placed on understanding gene function and regulation. One important aspect of this analysis is the study of how transcription factors re- late transcriptional initiation by RNA polymerase II, which is responsible for transcribing nuclear genes encoding messenger RNAs. The initiation of Class II transcription is dependent upon transcription factors binding to DNA e- ments that include the core or basal promoter elements, proximal promoter elements, and distal enhancer elements. General initiation factors are involved in positioning RNA polymerase II on the core promoter, but the complex - teraction of these proteins and transcriptional activators binding to DNA e- ments outside the core promoter regulate the rate of transcriptional initiation. This initiation process appears to be a crucial step in the modulation of mRNA levels in response to developmental and environmental signals. Transcription Factor Protocols provides step-by-step procedures for key techniques that have been developed to study DNA sequences and the protein factors that regulate the transcription of protein encoding genes. This volume is aimed at providing researchers in the field with the well-detailed protocols that have been the hallmark of previous volumes of the Methods in Molecular TM Biology series.
Author: Gerard Marshall Raj
Publisher: Springer Nature
ISBN: 9813297794
Category : Medical
Languages : en
Pages : 410
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Book Description
This book illustrates, in a comprehensive manner, the most crucial principles involved in pharmacology and allied sciences. The title begins by discussing the historical aspects of drug discovery, with up to date knowledge on Nobel Laureates in pharmacology and their significant discoveries. It then examines the general pharmacological principles - pharmacokinetics and pharmacodynamics, with in-depth information on drug transporters and interactions. In the remaining chapters, the book covers a definitive collection of topics containing essential information on the basic principles of pharmacology and how they are employed for the treatment of diseases. Readers will learn about special topics in pharmacology that are hard to find elsewhere, including issues related to environmental toxicology and the latest information on drug poisoning and treatment, analytical toxicology, toxicovigilance, and the use of molecular biology techniques in pharmacology. The book offers a valuable resource for researchers in the fields of pharmacology and toxicology, as well as students pursuing a degree in or with an interest in pharmacology.
Author: Altuna Akalin
Publisher: CRC Press
ISBN: 1498781861
Category : Mathematics
Languages : en
Pages : 463
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Book Description
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.
Author: Jacqueline M. Matthews
Publisher: Springer Science & Business Media
ISBN: 1461432294
Category : Medical
Languages : en
Pages : 184
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Book Description
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.
