Author: Haleem J. Issaq
Publisher: Academic Press
ISBN: 0123947952
Category : Science
Languages : en
Pages : 489
Book Description
Proteomic and Metabolomic Approaches to Biomarker Discovery demonstrates how to leverage biomarkers to improve accuracy and reduce errors in research. Disease biomarker discovery is one of the most vibrant and important areas of research today, as the identification of reliable biomarkers has an enormous impact on disease diagnosis, selection of treatment regimens, and therapeutic monitoring. Various techniques are used in the biomarker discovery process, including techniques used in proteomics, the study of the proteins that make up an organism, and metabolomics, the study of chemical fingerprints created from cellular processes. Proteomic and Metabolomic Approaches to Biomarker Discovery is the only publication that covers techniques from both proteomics and metabolomics and includes all steps involved in biomarker discovery, from study design to study execution. The book describes methods, and presents a standard operating procedure for sample selection, preparation, and storage, as well as data analysis and modeling. This new standard effectively eliminates the differing methodologies used in studies and creates a unified approach. Readers will learn the advantages and disadvantages of the various techniques discussed, as well as potential difficulties inherent to all steps in the biomarker discovery process. A vital resource for biochemists, biologists, analytical chemists, bioanalytical chemists, clinical and medical technicians, researchers in pharmaceuticals, and graduate students, Proteomic and Metabolomic Approaches to Biomarker Discovery provides the information needed to reduce clinical error in the execution of research. - Describes the use of biomarkers to reduce clinical errors in research - Includes techniques from a range of biomarker discoveries - Covers all steps involved in biomarker discovery, from study design to study execution
Proteomic and Metabolomic Approaches to Biomarker Discovery
Author: Haleem J. Issaq
Publisher: Academic Press
ISBN: 0123947952
Category : Science
Languages : en
Pages : 489
Book Description
Proteomic and Metabolomic Approaches to Biomarker Discovery demonstrates how to leverage biomarkers to improve accuracy and reduce errors in research. Disease biomarker discovery is one of the most vibrant and important areas of research today, as the identification of reliable biomarkers has an enormous impact on disease diagnosis, selection of treatment regimens, and therapeutic monitoring. Various techniques are used in the biomarker discovery process, including techniques used in proteomics, the study of the proteins that make up an organism, and metabolomics, the study of chemical fingerprints created from cellular processes. Proteomic and Metabolomic Approaches to Biomarker Discovery is the only publication that covers techniques from both proteomics and metabolomics and includes all steps involved in biomarker discovery, from study design to study execution. The book describes methods, and presents a standard operating procedure for sample selection, preparation, and storage, as well as data analysis and modeling. This new standard effectively eliminates the differing methodologies used in studies and creates a unified approach. Readers will learn the advantages and disadvantages of the various techniques discussed, as well as potential difficulties inherent to all steps in the biomarker discovery process. A vital resource for biochemists, biologists, analytical chemists, bioanalytical chemists, clinical and medical technicians, researchers in pharmaceuticals, and graduate students, Proteomic and Metabolomic Approaches to Biomarker Discovery provides the information needed to reduce clinical error in the execution of research. - Describes the use of biomarkers to reduce clinical errors in research - Includes techniques from a range of biomarker discoveries - Covers all steps involved in biomarker discovery, from study design to study execution
Publisher: Academic Press
ISBN: 0123947952
Category : Science
Languages : en
Pages : 489
Book Description
Proteomic and Metabolomic Approaches to Biomarker Discovery demonstrates how to leverage biomarkers to improve accuracy and reduce errors in research. Disease biomarker discovery is one of the most vibrant and important areas of research today, as the identification of reliable biomarkers has an enormous impact on disease diagnosis, selection of treatment regimens, and therapeutic monitoring. Various techniques are used in the biomarker discovery process, including techniques used in proteomics, the study of the proteins that make up an organism, and metabolomics, the study of chemical fingerprints created from cellular processes. Proteomic and Metabolomic Approaches to Biomarker Discovery is the only publication that covers techniques from both proteomics and metabolomics and includes all steps involved in biomarker discovery, from study design to study execution. The book describes methods, and presents a standard operating procedure for sample selection, preparation, and storage, as well as data analysis and modeling. This new standard effectively eliminates the differing methodologies used in studies and creates a unified approach. Readers will learn the advantages and disadvantages of the various techniques discussed, as well as potential difficulties inherent to all steps in the biomarker discovery process. A vital resource for biochemists, biologists, analytical chemists, bioanalytical chemists, clinical and medical technicians, researchers in pharmaceuticals, and graduate students, Proteomic and Metabolomic Approaches to Biomarker Discovery provides the information needed to reduce clinical error in the execution of research. - Describes the use of biomarkers to reduce clinical errors in research - Includes techniques from a range of biomarker discoveries - Covers all steps involved in biomarker discovery, from study design to study execution
Proteomics in Cancer Research
Author: Daniel C. Liebler
Publisher: Wiley-Liss
ISBN:
Category : Medical
Languages : en
Pages : 220
Book Description
The unique proteomic features that characterize cancers offer new opportunities for disease prevention and treatment. Despite intense interest, however, proteomics is just beginning to become a part of the cancer research mainstream, as relatively few cancer researchers have training in proteomics methods and approaches. This volume covers both the basic principles of proteomics along with detailed presentations of new and emerging technology that represent promising breakthroughs in cancer prevention and treatment.
Publisher: Wiley-Liss
ISBN:
Category : Medical
Languages : en
Pages : 220
Book Description
The unique proteomic features that characterize cancers offer new opportunities for disease prevention and treatment. Despite intense interest, however, proteomics is just beginning to become a part of the cancer research mainstream, as relatively few cancer researchers have training in proteomics methods and approaches. This volume covers both the basic principles of proteomics along with detailed presentations of new and emerging technology that represent promising breakthroughs in cancer prevention and treatment.
Proteomic Applications in Cancer Detection and Discovery
Author: Timothy D. Veenstra
Publisher: John Wiley & Sons
ISBN: 1118634411
Category : Science
Languages : en
Pages : 375
Book Description
Helps researchers in proteomics and oncology work together to understand, prevent, and cure cancer Proteomic data is increasingly important to understanding the origin and progression of cancer; however, most oncologic researchers who depend on proteomics for their studies do not collect the data themselves. As a result, there is a knowledge gap between scientists, who devise proteomic techniques and collect the data, and the oncologic researchers, who are expected to interpret and apply proteomic data. Bridging the gap between proteomics and oncology research, this book explains how proteomic technology can be used to address some of the most important questions in cancer research. Proteomic Applications in Cancer Detection and Discovery enables readers to understand how proteomic data is acquired and analyzed and how it is interpreted. Author Timothy Veenstra has filled the book with examples many based on his own firsthand research experience that clearly demonstrate the application of proteomic technology in oncology research, including the discovery of novel biomarkers for different types of cancers. The book begins with a brief introduction to systems biology, explaining why cancer is a systems biology disease. Next, it covers such topics as: Mass spectrometry in cancer research Application of proteomics to global phosphorylation analysis Search for biomarkers in biofluids Rise and fall of proteomic patterns for cancer diagnostics Emergence of protein arrays Role of proteomics in personalized medicine The final chapter is dedicated to the future prospects of proteomics in cancer research. By guiding readers through the latest proteomic technologies and their applications in cancer research, Proteomic Applications in Cancer Detection and Discovery enhances the ability of researchers in proteomics and researchers in oncology to collaborate in order to better understand cancer and develop strategies to prevent and treat it.
Publisher: John Wiley & Sons
ISBN: 1118634411
Category : Science
Languages : en
Pages : 375
Book Description
Helps researchers in proteomics and oncology work together to understand, prevent, and cure cancer Proteomic data is increasingly important to understanding the origin and progression of cancer; however, most oncologic researchers who depend on proteomics for their studies do not collect the data themselves. As a result, there is a knowledge gap between scientists, who devise proteomic techniques and collect the data, and the oncologic researchers, who are expected to interpret and apply proteomic data. Bridging the gap between proteomics and oncology research, this book explains how proteomic technology can be used to address some of the most important questions in cancer research. Proteomic Applications in Cancer Detection and Discovery enables readers to understand how proteomic data is acquired and analyzed and how it is interpreted. Author Timothy Veenstra has filled the book with examples many based on his own firsthand research experience that clearly demonstrate the application of proteomic technology in oncology research, including the discovery of novel biomarkers for different types of cancers. The book begins with a brief introduction to systems biology, explaining why cancer is a systems biology disease. Next, it covers such topics as: Mass spectrometry in cancer research Application of proteomics to global phosphorylation analysis Search for biomarkers in biofluids Rise and fall of proteomic patterns for cancer diagnostics Emergence of protein arrays Role of proteomics in personalized medicine The final chapter is dedicated to the future prospects of proteomics in cancer research. By guiding readers through the latest proteomic technologies and their applications in cancer research, Proteomic Applications in Cancer Detection and Discovery enhances the ability of researchers in proteomics and researchers in oncology to collaborate in order to better understand cancer and develop strategies to prevent and treat it.
Cancer Genomics and Proteomics
Author: Paul B. Fisher
Publisher: Humana Press
ISBN: 9781588295040
Category : Medical
Languages : en
Pages : 358
Book Description
Cancer Genomics and Proteomics provides a compendium of techniques and applications in gene identification and function. The approaches described in detail are state-of-the art and can be tailored to individual ongoing or planned research projects. This volume is a valuable laboratory resource for designing experiments to identify and analyze genes that are relevant to complex biological phenomena.
Publisher: Humana Press
ISBN: 9781588295040
Category : Medical
Languages : en
Pages : 358
Book Description
Cancer Genomics and Proteomics provides a compendium of techniques and applications in gene identification and function. The approaches described in detail are state-of-the art and can be tailored to individual ongoing or planned research projects. This volume is a valuable laboratory resource for designing experiments to identify and analyze genes that are relevant to complex biological phenomena.
Precision Medicine in Cancer Therapy
Author: Daniel D. Von Hoff
Publisher: Springer
ISBN: 3030163911
Category : Medical
Languages : en
Pages : 285
Book Description
This book presents the latest advances in precision medicine in some of the most common cancer types, including hematological, lung and breast malignancies. It also discusses emerging technologies that are making a significant impact on precision medicine in cancer therapy. In addition to describing specific approaches that have already entered clinical practice, the book explores new concepts and tools that are being developed. Precision medicine aims to deliver personalized healthcare tailored to a patient’s genetics, lifestyle and environment, and cancer therapy is one of the areas in which it has flourished in recent years. Documenting the latest advances, this book is of interest to physicians and clinical fellows in the front line of the war on cancer, as well as to basic scientists working in the fields of cancer biology, drug development, biomarker discovery, and biomedical engineering. The contributing authors include translational physicians with first-hand experience in precision patient care.
Publisher: Springer
ISBN: 3030163911
Category : Medical
Languages : en
Pages : 285
Book Description
This book presents the latest advances in precision medicine in some of the most common cancer types, including hematological, lung and breast malignancies. It also discusses emerging technologies that are making a significant impact on precision medicine in cancer therapy. In addition to describing specific approaches that have already entered clinical practice, the book explores new concepts and tools that are being developed. Precision medicine aims to deliver personalized healthcare tailored to a patient’s genetics, lifestyle and environment, and cancer therapy is one of the areas in which it has flourished in recent years. Documenting the latest advances, this book is of interest to physicians and clinical fellows in the front line of the war on cancer, as well as to basic scientists working in the fields of cancer biology, drug development, biomarker discovery, and biomedical engineering. The contributing authors include translational physicians with first-hand experience in precision patient care.
Unravelling Cancer Signaling Pathways: A Multidisciplinary Approach
Author: Kakoli Bose
Publisher: Springer Nature
ISBN: 9813298162
Category : Medical
Languages : en
Pages : 587
Book Description
Unravelling the intricate cell signalling networks and their significance in cancer poses major intellectual challenge. Keeping this in mind, the book aims at understanding the mechanism of action of different proteins and their complexes in the cancer signalling pathways. Hence, the proposed book that comprises 20 chapters provides a comprehensive introduction on cell signalling, its alterations in cancer, molecules that have been popular targets as well as the ones that are emerging as targets. In addition, it discusses different forms of therapy that are coming up for its treatment. Other than that, a major portion of the book is focused on studying different disciplines at the interface of biology and other areas of science that are being used to understand cancer biology in depth.
Publisher: Springer Nature
ISBN: 9813298162
Category : Medical
Languages : en
Pages : 587
Book Description
Unravelling the intricate cell signalling networks and their significance in cancer poses major intellectual challenge. Keeping this in mind, the book aims at understanding the mechanism of action of different proteins and their complexes in the cancer signalling pathways. Hence, the proposed book that comprises 20 chapters provides a comprehensive introduction on cell signalling, its alterations in cancer, molecules that have been popular targets as well as the ones that are emerging as targets. In addition, it discusses different forms of therapy that are coming up for its treatment. Other than that, a major portion of the book is focused on studying different disciplines at the interface of biology and other areas of science that are being used to understand cancer biology in depth.
Precision Molecular Pathology of Prostate Cancer
Author: Brian D. Robinson
Publisher: Springer
ISBN: 3319640968
Category : Medical
Languages : en
Pages : 564
Book Description
This volume focuses on our current understanding of the molecular underpinnings of prostate cancer and their potential application for precision medicine approaches. The emergence and applications of new technologies has allowed for a rapid expansion of our understanding of the molecular basis of prostate cancer and has revealed a remarkable genetic heterogeneity that may underlie the clinically variable behavior of the disease. The book consists of five sections which provide insight about the following: (1) General principles; (2) Molecular signatures of primary prostate cancer; (3) Molecular signatures of advanced prostate cancer; (4) Key molecular pathways in prostate cancer development and progression; (5) and Precision medicine approach: Diagnosis, treatment, prognosis. Precision Molecular Pathology of Prostate Cancer is an important resource for the practicing oncologist, urologist, and pathologist, and will also be useful for researchers in the prostate cancer community.
Publisher: Springer
ISBN: 3319640968
Category : Medical
Languages : en
Pages : 564
Book Description
This volume focuses on our current understanding of the molecular underpinnings of prostate cancer and their potential application for precision medicine approaches. The emergence and applications of new technologies has allowed for a rapid expansion of our understanding of the molecular basis of prostate cancer and has revealed a remarkable genetic heterogeneity that may underlie the clinically variable behavior of the disease. The book consists of five sections which provide insight about the following: (1) General principles; (2) Molecular signatures of primary prostate cancer; (3) Molecular signatures of advanced prostate cancer; (4) Key molecular pathways in prostate cancer development and progression; (5) and Precision medicine approach: Diagnosis, treatment, prognosis. Precision Molecular Pathology of Prostate Cancer is an important resource for the practicing oncologist, urologist, and pathologist, and will also be useful for researchers in the prostate cancer community.
High-Dimensional Data Analysis in Cancer Research
Author: Xiaochun Li
Publisher: Springer Science & Business Media
ISBN: 0387697659
Category : Medical
Languages : en
Pages : 164
Book Description
Multivariate analysis is a mainstay of statistical tools in the analysis of biomedical data. It concerns with associating data matrices of n rows by p columns, with rows representing samples (or patients) and columns attributes of samples, to some response variables, e.g., patients outcome. Classically, the sample size n is much larger than p, the number of variables. The properties of statistical models have been mostly discussed under the assumption of fixed p and infinite n. The advance of biological sciences and technologies has revolutionized the process of investigations of cancer. The biomedical data collection has become more automatic and more extensive. We are in the era of p as a large fraction of n, and even much larger than n. Take proteomics as an example. Although proteomic techniques have been researched and developed for many decades to identify proteins or peptides uniquely associated with a given disease state, until recently this has been mostly a laborious process, carried out one protein at a time. The advent of high throughput proteome-wide technologies such as liquid chromatography-tandem mass spectroscopy make it possible to generate proteomic signatures that facilitate rapid development of new strategies for proteomics-based detection of disease. This poses new challenges and calls for scalable solutions to the analysis of such high dimensional data. In this volume, we will present the systematic and analytical approaches and strategies from both biostatistics and bioinformatics to the analysis of correlated and high-dimensional data.
Publisher: Springer Science & Business Media
ISBN: 0387697659
Category : Medical
Languages : en
Pages : 164
Book Description
Multivariate analysis is a mainstay of statistical tools in the analysis of biomedical data. It concerns with associating data matrices of n rows by p columns, with rows representing samples (or patients) and columns attributes of samples, to some response variables, e.g., patients outcome. Classically, the sample size n is much larger than p, the number of variables. The properties of statistical models have been mostly discussed under the assumption of fixed p and infinite n. The advance of biological sciences and technologies has revolutionized the process of investigations of cancer. The biomedical data collection has become more automatic and more extensive. We are in the era of p as a large fraction of n, and even much larger than n. Take proteomics as an example. Although proteomic techniques have been researched and developed for many decades to identify proteins or peptides uniquely associated with a given disease state, until recently this has been mostly a laborious process, carried out one protein at a time. The advent of high throughput proteome-wide technologies such as liquid chromatography-tandem mass spectroscopy make it possible to generate proteomic signatures that facilitate rapid development of new strategies for proteomics-based detection of disease. This poses new challenges and calls for scalable solutions to the analysis of such high dimensional data. In this volume, we will present the systematic and analytical approaches and strategies from both biostatistics and bioinformatics to the analysis of correlated and high-dimensional data.
Protein Phosphorylation in Human Health
Author: Cai Huang
Publisher: BoD – Books on Demand
ISBN: 9535107372
Category : Medical
Languages : en
Pages : 482
Book Description
15 chapters on protein phosphorylation and human health written by expert scientists. Covers most important research hot points, such as Akt, AMPK and mTOR. Bridges the basic protein phosphorylation pathways with human health and diseases. Detailed and comprehensive text with excellent figure illustration.
Publisher: BoD – Books on Demand
ISBN: 9535107372
Category : Medical
Languages : en
Pages : 482
Book Description
15 chapters on protein phosphorylation and human health written by expert scientists. Covers most important research hot points, such as Akt, AMPK and mTOR. Bridges the basic protein phosphorylation pathways with human health and diseases. Detailed and comprehensive text with excellent figure illustration.
Introduction to Proteomics
Author: Agnieszka Kraj
Publisher: Wiley-Interscience
ISBN: 9780470055359
Category : Science
Languages : en
Pages : 0
Book Description
Introduction to Proteomics is written by seasoned researchers with years of practical experience. In addition to comprehensive discussions of the basic concepts, techniques, and applications of the subject, the text also includes an extensive glossary and a chapter containing laboratory exercises and protocols. While mass spectrometry is central to proteomics, the book discusses all of the analytical techniques a student is likely to need when faced with real-world problems, such as sample preparation, chromatographic and electrophoretic separation, micro-total analysis systems, and bioinformatics.
Publisher: Wiley-Interscience
ISBN: 9780470055359
Category : Science
Languages : en
Pages : 0
Book Description
Introduction to Proteomics is written by seasoned researchers with years of practical experience. In addition to comprehensive discussions of the basic concepts, techniques, and applications of the subject, the text also includes an extensive glossary and a chapter containing laboratory exercises and protocols. While mass spectrometry is central to proteomics, the book discusses all of the analytical techniques a student is likely to need when faced with real-world problems, such as sample preparation, chromatographic and electrophoretic separation, micro-total analysis systems, and bioinformatics.