Decoding the Histone Code
Author: Beatrix Magdalena Ueberheide
Publisher:
Published: 2005
Total Pages: 346
ISBN-13:
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Author: Beatrix Magdalena Ueberheide
Publisher:
Published: 2005
Total Pages: 346
ISBN-13:
DOWNLOAD EBOOKAuthor: Sonja Patricia Hergeth
Publisher:
Published: 2011
Total Pages: 216
ISBN-13:
DOWNLOAD EBOOKAuthor: Jareth C. Wolfe
Publisher:
Published: 2022
Total Pages:
ISBN-13:
DOWNLOAD EBOOKAuthor: Marcello Barbieri
Publisher: Springer Nature
Published:
Total Pages: 232
ISBN-13: 3031584848
DOWNLOAD EBOOKAuthor: Annette Buur Steffensen
Publisher:
Published: 2007
Total Pages: 115
ISBN-13:
DOWNLOAD EBOOKAuthor: Subhrangsu S. Mandal
Publisher: John Wiley & Sons
Published: 2017-10-23
Total Pages: 678
ISBN-13: 3527322817
DOWNLOAD EBOOKThe first of its kind, this reference gives a comprehensive but concise introduction to epigenetics before covering the many interactions between hormone regulation and epigenetics at all levels. The contents are very well structured with no overlaps between chapters, and each one features supplementary material for use in presentations. Throughout, major emphasis is placed on pathological conditions, aiming at the many physiologists and developmental biologists who are familiar with the importance and mechanisms of hormone regulation but have a limited background in epigenetics.
Author: Gurbachan S. Miglani
Publisher: I K International Pvt Ltd
Published: 2023-05-23
Total Pages: 1048
ISBN-13: 939062097X
DOWNLOAD EBOOKFundamentals of Epigenetics provides concise yet complete information on the many aspects of the basic and most recent concepts in epigenetics, a branch of life science that deals with the mechanisms such as DNA modifications, histone modifications, RNA modifications, small and long non-coding RNAs, chromatin remodeling, which are involved in epigenetic control of gene expression without involving variations in DNA sequences. These regulatory mechanisms lead to phenotypic variations. These epigenetic mechanisms can be exploited for crop improvement and cure of human diseases. This book is primarily designed for undergraduate and graduate level students studying epigenetics in conventional, agricultural and medicinal universities. Teachers and researchers in any discipline of life sciences, agricultural sciences, medicine, and biotechnology, molecular epigenetics and biotechnology will also find it useful as a reference book.
Author: Ming-Ming Zhou
Publisher: Springer
Published: 2015-05-29
Total Pages: 284
ISBN-13: 3319181025
DOWNLOAD EBOOKThis book provides a timely review of the role of histone modifications in epigenetic control of gene expression. Topics covered include: basic mechanisms of molecular recognition of histone post-translational modification (PTMs); combinatorial readout of histone PTMs by tandem epigenome reader domains; genome-wide profiling of histone PTM interactions; small molecule modulation of histone PTM interactions and their potential as a new approach to therapeutic intervention in human diseases. All chapters were written by leading scientists who made the original key discoveries of the structure and mechanism of evolutionarily conserved reader domains, which serve to direct gene transcription in chromatin through interactions with DNA-packing histones in a PTM-sensitive manner.
Author: Shabir Ahmad Ganai
Publisher: Springer Nature
Published: 2020-11-23
Total Pages: 266
ISBN-13: 9811581797
DOWNLOAD EBOOKThis book reviews the latest developments in the design, synthesis, and molecular mechanism of action of Histone Deacetylase (HDAC) inhibitors in the context of potential cancer therapy. HDAC inhibitors are emerging as promising anticancer drug molecules that promote growth arrest, differentiation and apoptosis of cancer cells with tumor selective toxicity. The book begins with an overview of various epigenetic modifying enzymes that are involved in cancer transition and progression; before exploring the potential of HDACs in cancer treatment. It provides a classification of HDAC inhibitors based on their structural attributes, and addresses HDAC-induced cytotoxicity.. Lastly, it discusses and assesses the rationale behind therapies that combine HDAC inhibitors with other anticancer agents to treat solid tumors. Given its scope, it offers a valuable resource for all researchers, clinicians, and students working in formulation, drug discovery, oncology, and personalized medicine.
Author: Zhengqing Ouyang
Publisher: Stanford University
Published: 2010
Total Pages: 135
ISBN-13:
DOWNLOAD EBOOKHigh-throughput genomics has been increasingly generating the massive amount of genome-wide data. With proper modeling methodologies, we can expect to archive a more comprehensive understanding of the regulatory mechanisms of biological systems. This work presents integrative approaches for the modeling and analysis of gene regulatory systems. In mammals, gene expression regulation is combinatorial in nature, with diverse roles of regulators on target genes. Microarrays (such as Exon Arrays) and RNA-Seq can be used to quantify the whole spectrum of RNA transcripts. ChIP-Seq is being used for the identification of transcription factor (TF) binding sites and histone modification marks. RNA interference (RNAi), coupled with gene expression profiles, allow perturbations of gene regulatory systems. Our approaches extract useful information from those genome-wide measurements for effectively modeling the logic of gene expression regulation. We present a predictive model for the prediction of gene expression from ChIP-Seq signals, based on quantitative modeling of regulator-gene association strength, principal component analysis, and regression-based model selection. We demonstrate the combinatorial regulation of TFs, and their power for explaining genome-wide gene expression variation. We also illustrate the roles of covalent histone modification marks on predicting gene expression and their regulation by TFs. We present a dynamical model of gene expression profiling, and derive the perturbed behaviors of the ordinary differential equation (ODE) system. Based on that, we present a regularized multivariate regression method for inferring the gene regulatory network of a stable cell type. We model the sparsity and stability of the network by a regularization approach. We applied the approaches to both a simulation data set and the RNAi perturbation data in mouse embryonic stem cells.