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Regulation of Downstream Targets, Volume 134 in the Advances in Protein Chemistry and Structural Biology series, presents interesting chapters on topics such as Transcriptional regulatory mechanisms and signaling networks in Viral Infections, Identification of potential key genes associated with pathogenesis and prognosis of endometrial cancer based on Integrated Bioinformatics Approaches, Differential regulation of genes in stage IB pancreatic cancer associated with increased risk of metastasis, AMPK-related LKB1-downstream targets, A compilation of bioinformatic approaches to identify novel downstream targets for the detection and prophylaxis of cancer, Protein phosphatases and their targets: Critical determinants of signaling pathway in plants, and more. Other sections cover Calcium decoders and their targets: The holy alliance that regulate cellular responses, Importin alpha family NAAT/IBB domain: functions of a multi-faceted long chameleon sequence, Aurora Kinase A and related downstream molecules: A Potential Network for Cancer Therapy, Emerging Role of Heat Shock Proteins in Cardiovascular Diseases, Function, Structure, Evolution, Regulation and Drug Target Relevance of Arylalkylamine N-acetyltransferase, and Analysis of signaling cascades from myeloma cells treated with pristimerin. - Provides the authority and expertise of leading contributors from an international board of authors - Presents the latest release in the Advances in Protein Chemistry and Structural Biology series - Updated release includes the latest information on the Regulation of Downstream Targets
In this book leading researchers in the field discuss the state-of-the-art of many aspects of SAPK signaling in various systems from yeast to mammals. These include various chapters on regulatory mechanisms as well as the contribution of the SAPK signaling pathways to processes such as gene expression, metabolism, cell cycle regulation, immune responses and tumorigenesis. Written by international experts, the book will appeal to cell biologists and biochemists.
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.
The Arthur M. Sackler Colloquia of the National Academy of Sciences address scientific topics of broad and current interest, cutting across the boundaries of traditional disciplines. Each year, four or five such colloquia are scheduled, typically two days in length and international in scope. Colloquia are organized by a member of the Academy, often with the assistance of an organizing committee, and feature presentations by leading scientists in the field and discussions with a hundred or more researchers with an interest in the topic. Colloquia presentations are recorded and posted on the National Academy of Sciences Sackler colloquia website and published on CD-ROM. These Colloquia are made possible by a generous gift from Mrs. Jill Sackler, in memory of her husband, Arthur M. Sackler.
An overview of the current systems biology-based knowledge and the experimental approaches for deciphering the biological basis of cancer.
The neural crest is a remarkable embryonic population of cells found only in vertebrates and has the potential to give rise to many different cell types contributing throughout the body. These derivatives range from the mesenchymal bone and cartilage comprising the facial skeleton, to neuronal derivatives of the peripheral sensory and autonomic nervous systems, to melanocytes throughout the body, and to smooth muscle of the great arteries of the heart. For these cells to correctly progress from an unspecifi ed, nonmigratory population to a wide array of dynamic, differentiated cell types-some of which retain stem cell characteristics presumably to replenish these derivatives-requires a complex network of molecular switches to control the gene programs giving these cells their defi ning structural, enzymatic, migratory, and signaling capacities. This review will bring together current knowledge of neural crest-specifi c transcription factors governing these progressions throughout the course of development. A more thorough understanding of the mechanisms of transcriptional control in differentiation will aid in strategies designed to push undifferentiated cells toward a particular lineage, and unraveling these processes will help toward reprogramming cells from a differentiated to a more naive state. Table of Contents: Introduction / AP Genes / bHLH Genes / ETS Genes / Fox Genes / Homeobox Genes / Hox Genes / Lim Genes / Pax Genes / POU Domain Genes / RAR/RXR Genes / Smad Genes / Sox Genes / Zinc Finger Genes / Other Miscellaneous Genes / References / Author Biographies
Decades of research on the tumor suppressor p53 have revealed that it plays a significant role as a "guardian of the genome," protecting cells against genotoxic stress. In recent years, p53 research has begun to move into the clinic in attempts to understand how p53 is frequently inactivated in-and sometimes even promotes-human cancer. Written and edited by experts in the field, this collection from Cold Spring Harbor Perspectives in Medicine covers the rapid progress that has recently been made in basic and clinical research on p53. The contributors review new observations about its basic biology, providing updates on the functions of its isoforms and domains, the myriad stresses and signals that trigger its activation or repression, and its downstream effects on genome stability and the cell cycle that enforce tumor suppression in different cell and tissue types. They also discuss how p53 dysfunction contributes to cancer, exploring the various inherited and somatic mutations in the human TP53 gene, the impact of mutant p53 proteins on tumorigenesis, and the prognostic value and clinical outcomes of these mutations. Drugs that are being developed to respond to tumors harboring aberrant p53 are also described. This book is therefore essential reading for all cancer biologists, cell and molecular biologists, and pharmacologists concerned with the treatment of this disease.
The book focuses on protein allostery in drug discovery. Allosteric regulation, ʹthe second secret of lifeʹ, fine-tunes virtually most biological processes and controls physiological activities. Allostery can both cause human diseases and contribute to development of new therapeutics. Allosteric drugs exhibit unparalleled advantages compared to conventional orthosteric drugs, rendering the development of allosteric modulators as an appealing strategy to improve selectivity and pharmacodynamic properties in drug leads. The Series delineates the immense significance of protein allostery—as demonstrated by recent advances in the repertoires of the concept, its mechanistic mechanisms, and networks, characteristics of allosteric proteins, modulators, and sites, development of computational and experimental methods to predict allosteric sites, small-molecule allosteric modulators of protein kinases and G-protein coupled receptors, engineering allostery, and the underlying role of allostery in precise medicine. Comprehensive understanding of protein allostery is expected to guide the rational design of allosteric drugs for the treatment of human diseases. The book would be useful for scientists and students in the field of protein science and Pharmacology etc.
Many advances have been made in the last decade in the understanding of the computational principles underlying olfactory system functioning. Neuromorphic Olfaction is a collaboration among European researchers who, through NEUROCHEM (Fp7-Grant Agreement Number 216916)-a challenging and innovative European-funded project-introduce novel computing p