Download or read book Applications of RNA Seq in Cancer and Tumor Research written by Jidong Lang and published by Frontiers Media SA. This book was released on 2023-12-05 with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Precision Cancer Medicine written by Sameek Roychowdhury and published by Springer Nature. This book was released on 2020-01-02 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: Genomic sequencing technologies have augmented the classification of cancer beyond tissue of origin and towards a molecular taxonomy of cancer. This has created opportunities to guide treatment decisions for individual patients with cancer based on their cancer’s unique molecular characteristics, also known as precision cancer medicine. The purpose of this text will be to describe the contribution and need for multiple disciplines working together to deliver precision cancer medicine. This entails a multi-disciplinary approach across fields including molecular pathology, computational biology, clinical oncology, cancer biology, drug development, genetics, immunology, and bioethics. Thus, we have outlined a current text on each of these fields as they work together to overcome various challenges and create opportunities to deliver precision cancer medicine. As trainees and junior faculty enter their respective fields, this text will provide a framework for understanding the role and responsibility for each specialist to contribute to this team science approach.
Download or read book Deep Learning for Cancer Diagnosis written by Utku Kose and published by Springer Nature. This book was released on 2020-09-12 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores various applications of deep learning to the diagnosis of cancer,while also outlining the future face of deep learning-assisted cancer diagnostics. As is commonly known, artificial intelligence has paved the way for countless new solutions in the field of medicine. In this context, deep learning is a recent and remarkable sub-field, which can effectively cope with huge amounts of data and deliver more accurate results. As a vital research area, medical diagnosis is among those in which deep learning-oriented solutions are often employed. Accordingly, the objective of this book is to highlight recent advanced applications of deep learning for diagnosing different types of cancer. The target audience includes scientists, experts, MSc and PhD students, postdocs, and anyone interested in the subjects discussed. The book can be used as a reference work to support courses on artificial intelligence, medical and biomedicaleducation.
Download or read book Cancer Genomics written by Shile Zhang and published by Elsevier Inc. Chapters. This book was released on 2013-11-21 with total page 38 pages. Available in PDF, EPUB and Kindle. Book excerpt: The complexity of the transcriptome has been appreciated in recent years in light of the Encyclopedia of DNA Elements (ENCODE) project. While less than 3% of the genome is annotated with protein-coding genes, 62% of the genome is long RNA molecules (>200 nucleotides). With an increasing sequencing throughput and a decreasing cost, RNA sequencing (RNA-seq) is becoming a frequently used technology in transcriptome research. This chapter summarizes the advantages of RNA-seq compared to hybridization-based microarrays, the RNA-seq experiment workflow and reviews current applications of RNA-seq in the field of cancer research. With advantages in expression analysis of non-coding genes, fusion genes, investigation of expressed allelic imbalance, pseudogenes, viral integrated genes, and post-transcriptional regulation analysis including splicing, polyadenylation as well as RNA editing, RNA-seq technology has a tremendous potential to elucidate the complexity of the transcriptome and its working mechanisms in the initiation and development of cancer. Along with expression and pathway analysis, RNA-seq data can clarify the functional consequences of any potential genomic (DNA) variances and thus help to distinguish “driver” from “passenger” genomic events. In summary, RNA-seq allows a genome-wide interrogation of complex transcriptomes and will help elucidate important biological mechanisms linked to cancer phenotypes. In addition, the non-protein-coding transcriptome has the potential to provide novel biomarkers for early detection, diagnostics, prognostics and targets for therapy.
Download or read book Single cell Sequencing and Methylation written by Buwei Yu and published by Springer Nature. This book was released on 2020-09-19 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the rapid development of biotechnologies, single-cell sequencing has become an important tool for understanding the molecular mechanisms of diseases, defining cellular heterogeneities and characteristics, and identifying intercellular communications and single-cell-based biomarkers. Providing a clear overview of the clinical applications, the book presents state-of-the-art information on immune cell function, cancer progression, infection, and inflammation gained from single-cell DNA or RNA sequencing. Furthermore, it explores the role of target gene methylation in the pathogenesis of diseases, with a focus on respiratory cancer, infection and chronic diseases. As such it is a valuable resource for clinical researchers and physicians, allowing them to refresh their knowledge and improve early diagnosis and therapy for patients.
Download or read book Cancer Evolution written by Charles Swanton and published by Perspectives Cshl. This book was released on 2017 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: Tumor progression is driven by mutations that confer growth advantages to different subpopulations of cancer cells. As a tumor grows, these subpopulations expand, accumulate new mutations, and are subjected to selective pressures from the environment, including anticancer interventions. This process, termed clonal evolution, can lead to the emergence of therapy-resistant tumors and poses a major challenge for cancer eradication efforts. Written and edited by experts in the field, this collection from Cold Spring Harbor Perspectives in Medicine examines cancer progression as an evolutionary process and explores how this way of looking at cancer may lead to more effective strategies for managing and treating it. The contributors review efforts to characterize the subclonal architecture and dynamics of tumors, understand the roles of chromosomal instability, driver mutations, and mutation order, and determine how cancer cells respond to selective pressures imposed by anticancer agents, immune cells, and other components of the tumor microenvironment. They compare cancer evolution to organismal evolution and describe how ecological theories and mathematical models are being used to understand the complex dynamics between a tumor and its microenvironment during cancer progression. The authors also discuss improved methods to monitor tumor evolution (e.g., liquid biopsies) and the development of more effective strategies for managing and treating cancers (e.g., immunotherapies). This volume will therefore serve as a vital reference for all cancer biologists as well as anyone seeking to improve clinical outcomes for patients with cancer.
Download or read book Applications of RNA Seq in Biology and Medicine written by Irina Vlasova-St. Louis and published by BoD – Books on Demand. This book was released on 2021-10-13 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book evaluates and comprehensively summarizes the scientific findings that have been achieved through RNA-sequencing (RNA-Seq) technology. RNA-Seq transcriptome profiling of healthy and diseased tissues allows FOR understanding the alterations in cellular phenotypes through the expression of differentially spliced RNA isoforms. Assessment of gene expression by RNA-Seq provides new insight into host response to pathogens, drugs, allergens, and other environmental triggers. RNA-Seq allows us to accurately capture all subtypes of RNA molecules, in any sequenced organism or single-cell type, under different experimental conditions. Merging genomics and transcriptomic profiling provides novel information underlying causative DNA mutations. Combining RNA-Seq with immunoprecipitation and cross-linking techniques is a clever multi-omics strategy assessing transcriptional, post-transcriptional and post-translational levels of gene expression regulation.
Download or read book Application of Bioinformatics in Cancers written by Chad Brenner and published by MDPI. This book was released on 2019-11-20 with total page 418 pages. Available in PDF, EPUB and Kindle. Book excerpt: This collection of 25 research papers comprised of 22 original articles and 3 reviews is brought together from international leaders in bioinformatics and biostatistics. The collection highlights recent computational advances that improve the ability to analyze highly complex data sets to identify factors critical to cancer biology. Novel deep learning algorithms represent an emerging and highly valuable approach for collecting, characterizing and predicting clinical outcomes data. The collection highlights several of these approaches that are likely to become the foundation of research and clinical practice in the future. In fact, many of these technologies reveal new insights about basic cancer mechanisms by integrating data sets and structures that were previously immiscible. Accordingly, the series presented here bring forward a wide range of artificial intelligence approaches and statistical methods that can be applied to imaging and genomics data sets to identify previously unrecognized features that are critical for cancer. Our hope is that these articles will serve as a foundation for future research as the field of cancer biology transitions to integrating electronic health record, imaging, genomics and other complex datasets in order to develop new strategies that improve the overall health of individual patients.
Download or read book Systems Biology Applications In Cancer related Research written by Hsueh-fen Juan and published by World Scientific. This book was released on 2012-02-29 with total page 339 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents an overview of recent developments in systems biology and their applications in cancer-related research. The ongoing advances in our understanding of genomics and proteomics, coupled with the development of new and more robust tools, have led to an emphasis on analyzing biological systems at multiple levels. Thus, there is a need to integrate different types of data into a comprehensive “systems” view.Written by active researchers in the emerging areas, this book gives senior undergraduate students, graduate students and new researchers an idea of where the frontiers of systems biology are and an opportunity to learn high-throughput techniques in use. One of the particular emphases of the book is to elucidate the molecular mechanisms in cancer. The discovery of biomarkers and anti-cancer drugs using systems biology approach is also extensively discussed.
Download or read book Next Generation Sequencing in Cancer Research Volume 2 written by Wei Wu and published by Springer. This book was released on 2015-04-25 with total page 500 pages. Available in PDF, EPUB and Kindle. Book excerpt: Latest generation sequencing revolutionizes the fields of cancer research and oncology. This follow-up volume focuses more extensively on single cell sequencing of cancer and trials in drug resistance. Another exciting feature is the bioinformatics tools given, that can be used on cancer genome studies. Scientists around the world are attempting to find the root cause of cancer. A reasonable cancer treatment plan and potential cure is more optimistic now with the unfolding of the cancer genome. The collective knowledge of how to leverage next generation sequencing in cancer research is paving the way. The important information provided in this volume will move the field forward in developing novel targeted cancer therapies.
Download or read book Clinical Applications of Noncoding RNAs in Cancer written by Subash Gupta and published by Academic Press. This book was released on 2022-01-19 with total page 479 pages. Available in PDF, EPUB and Kindle. Book excerpt: Clinical Applications of Noncoding RNAs in Cancer summarizes the existing strategies, advances, and future opportunities on the role of noncoding RNAs in cancer patients. Established clinicians and researchers from all around the world share their views and expertise and provide readers with invaluable knowledge on the subject. This book provides a comprehensive collection of information on the utility of noncoding RNAs in the diagnosis, prognosis, and therapy of cancer. It also discusses the evolutionary significance of noncoding RNAs and how the molecular tools such as RNA-seq, RNA-FISH, ic-SHAPE, and quantitative real-time PCR help in the detection and elucidation of the functions of noncoding RNAs. Additionally, the challenges associated with noncoding RNA approaches and future developments are discussed. It is a valuable resource for cancer researchers, oncologists, clinicians, and other biomedical field members who want to learn more about noninvasive ways to diagnose and efficiently treat diverse cancer types. - Presents a beginning chapter summary to help readers understand the content thoroughly - Encompasses detailed description of information from clinical studies on noncoding RNAs in cancer therapy - Discusses one cancer type per chapter making the content easy to reference
Download or read book Next Generation Sequencing in Cancer Research written by Wei Wu and published by Springer Science & Business Media. This book was released on 2013-08-04 with total page 383 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume provides an interdisciplinary perspective of applying Next Generation Sequencing (NGS) technology to cancer research. It aims to systematically introduce the concept of NGS, a variety of NGS platforms and their practical implications in cancer biology.This unique and comprehensive text will integrate the unprecedented NGS technology into various cancer research projects as opposed to most books which offer a detailed description of the technology. This volume will present true experimental results with concrete data processing pipelines, discuss the bottleneck of each platform for real project in cancer research. In additional, single cancer cell sequencing as the proof of concept will be introduced in this book, along with cutting-edge information provided will help the intended audience to develop a comprehensive understanding of the NGS technology and practical whole genome sequencing data analysis and rapidly translate into their own research, specifically in the field of cancer biology.
Download or read book Molecular Pathology in Cancer Research written by Sunil R. Lakhani and published by Springer. This book was released on 2017-01-20 with total page 369 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim of the book is to discuss the application of molecular pathology in cancer research, and its contribution in the classification of different tumors and identification of potential molecular targets, as well as how this knowledge may be translated into clinical practice, and the huge impact this field is likely to have in the next 5 to 10 years.
Download or read book Expression Profiling of Human Tumors written by Marc Ladanyi and published by Springer Science & Business Media. This book was released on 2003-05-01 with total page 419 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive review of the use of global gene expression profiling to understand human tumors. The authors focus on the analysis of human tissue samples for a variety of cancers, including breast, colorectal, lung, renal, ovarian, bone, and brain tumors, among others. A primer on the technology and its novel analytical methods. Contains over 40 color images. Explains both the theory and practice of comprehensive gene expression profiling. Timely and topical, Expression Profiling of Human Tumors: Diagnostic and Research Applications offers every oncologist, pathologists, and cancer surgeons an essential introduction to the most promising new high-throughput investigative approaches in molecular biology-technology that is already dramatically reshaping the future of cancer research, diagnostic pathology, and clinical oncology.
Download or read book Cancer Systems Biology Bioinformatics and Medicine written by Alfredo Cesario and published by Springer Science & Business Media. This book was released on 2011-08-21 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt: This teaching monograph on systems approaches to cancer research and clinical applications provides a unique synthesis, by world-class scientists and doctors, of laboratory, computational, and clinical methods, thereby establishing the foundations for major advances not possible with current methods. Specifically, the book: 1) Sets the stage by describing the basis of systems biology and bioinformatics approaches, and the clinical background of cancer in a systems context; 2) Summarizes the laboratory, clinical, data systems analysis and bioinformatics tools, along with infrastructure and resources required; 3) Demonstrates the application of these tools to cancer research; 4) Extends these tools and methods to clinical diagnosis, drug development and treatment applications; and 5) Finishes by exploring longer term perspectives and providing conclusions. This book reviews the state-of-the-art, and goes beyond into new applications. It is written and highly referenced as a textbook and practical guide aimed at students, academics, doctors, clinicians, industrialists and managers in cancer research and therapeutic applications. Ideally, it will set the stage for integration of available knowledge to optimize communication between basic and clinical researchers involved in the ultimate fight against cancer, whatever the field of specific interest, whatever the area of activity within translational research.
Download or read book Essentials of Cancer Genomic Computational Approaches and Precision Medicine written by Nosheen Masood and published by Springer Nature. This book was released on 2020-03-20 with total page 499 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book concisely describes the role of omics in precision medicine for cancer therapies. It outlines our current understanding of cancer genomics, shares insights into the process of oncogenesis, and discusses emerging technologies and clinical applications of cancer genomics in prognosis and precision-medicine treatment strategies. It then elaborates on recent advances concerning transcriptomics and translational genomics in cancer diagnosis, clinical applications, and personalized medicine in oncology. Importantly, it also explains the importance of high-performance analytics, predictive modeling, and system biology in cancer research. Lastly, the book discusses current and potential future applications of pharmacogenomics in clinical cancer therapy and cancer drug development.
Download or read book An Omics Perspective on Cancer Research written by William C.S. Cho and published by Springer Science & Business Media. This book was released on 2010-04-07 with total page 269 pages. Available in PDF, EPUB and Kindle. Book excerpt: Omics is an emerging and exciting area in the field of science and medicine. Numerous promising developments have been elucidated using omics (including genomics, transcriptomics, epigenomics, proteomics, metabolomics, interactomics, cytomics and bioinformatics) in cancer research. The development of high-throughput technologies that permit the solution of deciphering cancer from higher dimensionality will provide a knowledge base which changes the face of cancer understanding and therapeutics. This is the first book to provide such a comprehensive coverage of a rapidly evolving area written by leading experts in the field of omics. It complies and details cutting-edge cancer research that covers the broad advances in the field and its application from cancer-associated gene discovery to drug target validation. It also highlights the potential of using integration approach for cancer research. This unique and timely book provides a thorough overview of developing omics, which will appeal to anyone involved in cancer research. It will be a useful reference book for graduate students of different subjects (medicine, biology, engineering, etc) and senior scientists interested in the fascinating area of advanced technologies in cancer research. Readership: This is a precious book for all types of readers – cancer researchers, oncologists, pathologists, biologists, clinical chemists, pharmacologists, pharmaceutical specialists, biostatisticians, and bioinformaticists who want to expand their knowledge in cancer research.
