Skip to main content

Books in Molecular biology cellular biology and genetics

This collection offers insights into gene expression, cell signalling, and genetic regulation. Supporting researchers, clinicians, and students, it features advanced techniques, genetic engineering, and disease mechanisms, fostering innovations in personalized medicine, regenerative therapies, and molecular diagnostics.

  • Open Electronic Data Capture Tools for Medical and Biomedical Research and Medical Allied Professionals

    • 1st Edition
    • Ashish Pundhir + 2 more
    • English
    Open Electronic Data Capture Tools for Medical and Biomedical Research and Medical Allied Professionals explains the step-by-step of collecting and treating research data in a didactic manner. The book discusses four freely available data capture tools whose common feature is data collection and entry being done simultaneously rather than separately, thus saving resources and minimizing potential errors. It highlights the comparative features of each data capture tool, helping readers to understand the advantage and disadvantage of each one to decide which tool can be used to fulfill their needs.This is a valuable resource for researchers, students, and members of the biomedical and medical fields who need to learn more about data mining and management to improve the quality of their research work.
  • Functionalized Nanomaterials for Cancer Research

    Applications in Treatments, Tools and Devices
    • 1st Edition
    • Hamed Barabadi + 2 more
    • English
    Functionalized Nanomaterials for Cancer Research: Applications in Treatments, Tools and Devices presents an in-depth and step-by-step description of knowledge on functionalized nanomaterials for cancer research, including treatment and future developments as well as their impact on patients’ overall outcomes. The book discusses functionalized nanoplatforms for cancer detection and imaging, interactions between nanomaterials and cancer cells, and drug resistant malignancies. The book's chapters are organized in a manner that can be readily adopted as sources for new and further studies by highlighting the main in vitro and in vivo nano-therapeutic achievements on cancer. Additionally, current trends on functionalized nanomaterials for cancer research and commercial scale opportunities are discussed. This is a valuable resource for researchers, oncologists, students, and members of the biomedical and medical fields who want to learn more about the potential of nanotechnology in cancer research and treatment.
  • Myeloid-Derived Suppressor Cells

    • 1st Edition
    • Volume 184
    • English
    Myeloid-Derived Suppressor Cells, Volume 184 in the Methods in Cell Biology series includes comprehensive protocols to assess the role of myeloid-derived suppressor cells (MDSCs), an immature, heterogenous cell population from the myeloid lineage with a potent immunosuppressive activity in a variety of diseases. This volume includes interesting protocols that address the Detection of myeloid-derived suppressor cells by flow cytometry, Determination of murine myeloid-derived suppressor cells by flow cytometry, Isolation of Myeloid-Derived Suppressor Cells (MDSC) from Endometriotic Mice Model and their Immunomodulatory Functions, Simple protocol for measuring CD11b+ GR-1+ (Ly6C+/Ly6G+) myeloid cells from a minimum volume of mouse peripheral blood, and much more.Additional chapters cover Assessment of myeloid-derived suppressor cell differentiation ex vivo, Single clonal tracking on biomimetic microtextured platforms for real-time guided migration analysis of myeloid-derived suppressor cell dissemination characteristics ex vivo, Isolation and immunosuppressive functions of myeloid-derived suppressor cell-derived exosomes, Characterization of lysosomal acid lipase in Ly6G+ and CD11c+ myeloid-derived suppressor cells, In Vitro Osteoclastogenesis Assessment using Murine Myeloid-derived Suppressor Cells, Estimating Nitric Oxide (NO) from MDSCs by Griess Method, and In vitro generation of myeloid-derived suppressor cells (MDSCs) from hematopoietic progenitor cells (HPCs).
  • Artificial Intelligence in Medicine

    From Ethical, Social, and Legal Perspectives
    • 1st Edition
    • Joseph JY Sung + 1 more
    • English
    Artificial Intelligence in Medicine: From Ethical, Social, and Legal Perspectives provides answers on how to improve acceptance and diminish the anxiety of the use of AI-assisted medicine. Through a series of social, ethical, and legal discussions from clinicians, social scientists, ethicists, and legal experts, this important reference has coverage that includes good data custodianship and stewardship, data access, data bias, data & healthcare equity, privacy and confidentiality, algorithmic understanding, and regulatory guidance, accountability, and legal responsibility.This reference will explain to healthcare providers how AI will enhance healthcare, will introduce to scientists and researchers the ethical and social aspect of AI that needs to be addressed, and will urge policymakers and health authorities to consider the legal framework needed to implement AI technology in healthcare.
  • Microbes at Bio/Nano Interfaces

    • 1st Edition
    • Volume 54
    • English
    Microbes at Bio/Nano Interfaces, Volume 54 in the Advances in Virus Research series, highlights new advances in the field, with this new volume presenting interesting chapters on a variety of hot topics, including Advanced Hydrogel for Management of Bacterial Wound Infections, Biofilm Characterization: Imaging, analysis and considerations, Parasitic worm interactions with host molecular machinery, Investigation of microbes and surface carbohydrates using Atomic Force Microscopy, Interactions Between Microbial Cells and Titanium Implant Surfaces, Targeting Bacterial Polysaccharides with Antibodies and Vaccines, and much more.Other sections cover Using next generation sequencing to study host-pathogen interactions, Microbial Nano-Biosynthesis: Biomedical, Food and Environmental Applications, and Functional co-expression of LEA peptides: Providing an environment for efficient cellular recombinant protein expression.
  • Applications of Artificial Intelligence in Healthcare and Biomedicine

    • 1st Edition
    • Abdulhamit Subasi
    • English
    Applications of Artificial Intelligence in Healthcare and Biomedicine provides ​updated knowledge on the applications of artificial intelligence in medical image analysis. In 16 chapters, it presents artificial applications in Electrocardiogram (ECG), Electroencephalogram (EEG) and Electromyography (EMG), signal analysis, Computed Tomography (CT), Magnetic Resonance Imaging (MR), and Ultrasound image analysis. It equips researchers with tools for early breast cancer detection from mammograms using artificial intelligence (AI), AI models to detect lung cancer using histopathological image, and a deep learning-based approach to get a proper and faster diagnosis of the Optical Coherence Tomography (OCT) images.In addition, it presents 3D medical image analysis using 3D Convolutional Neural Networks (CNNs). Final sections cover an AI-based approach to forecast diabetes patients' hospital re-admissions. This is a valuable resource for clinicians, researchers, and healthcare professionals who are interested in learning more about the applications of Artificial Intelligence and its impact in medical/biomedical image analysis.
  • Cell-based Cancer Immunotherapy

    • 1st Edition
    • Volume 183
    • English
    Cell-based Cancer Immunotherapy, Volume 183 provides the latest progress concerning research on anticancer cellular immunotherapies and their immunological, translation, or clinical aspects. Topics covered in this volume include Methods behind clinical DC vaccine products against glioblastoma, Fully closed and automated isolation of natural blood dendritic cells for cancer immunotherapy, Methods behind Oncolytic virus-based DC vaccines in cancer: towards a multiphase combined treatment strategy for Glioblastoma (GBM) patients, Identification of TCR repertoire patterns linked with anti-cancer immunotherapy, Training of epitope-TCR prediction models with healthy donor-derived cancer-specific T cells, Methods behind neoantigen predictions for anticancer vaccines, Methods behind CD137L-DC-EBV-VAX anticancer vaccine, and much more. Additional sections cover Gold Standard Assessment of Immunogenic Cell Death Induced by Photodynamic Therapy: From In Vitro to Tumor Mouse Models and Anti-Cancer Vaccination Strategies, Methods behind TCR analyses for colorectal cancer-associated TILs, The use of xCELLigence, Incucyte, and/or Cr/LDH/maker-release assays, Humanized mouse models for anti-cancer therapy, In vitro re-challenge of CAR T cells, Methods behind adoptively transferred tumor draining lymphocytes​ for anticancer immunotherapy, and A murine glioblastoma platform to test cellular therapies with the standard of care.
  • Engineering Biology for Microbial Biosynthesis of Plant-Derived Bioactive Compounds

    • 1st Edition
    • Yongjun Wei + 2 more
    • English
    Engineering Biology for Microbial Biosynthesis of Plant-Derived Bioactive Compounds will be of great interest to undergraduate and graduate students, scientists, researchers, and engineers who work on the microbial production of plant-derived bioactive compounds. As many plant-derived bioactive compounds are the foundation of effective drugs to cure diseases, it's important to understand the limits of their applications in drugs and other industries. With the development of synthetic biology and green biomanufacturing, the biosynthesis of complex bioactive compounds is possible. However, the engineering fundamentals for microbial biosynthetic of plant-derived bioactive compounds is vast.This book summarizes the engineering fundamental biotechnologies for microbial production of plant-derived bioactive compounds, allowing the content to be easily accessed. Coverage includes summaries of key achievements, identification of challenges, current approaches, tips and tricks, and helpful insights into critical bottlenecks.
  • A Biologist’s Guide to Artificial Intelligence

    Building the foundations of Artificial Intelligence and Machine Learning for Achieving Advancements in Life Sciences
    • 1st Edition
    • Ambreen Hamadani + 3 more
    • English
    A Biologist’s Guide to Artificial Intelligence: Building the Foundations of Artificial Intelligence and Machine Learning for Achieving Advancements in Life Sciences provides an overview of the basics of Artificial Intelligence for life science biologists. In 14 chapters/sections, readers will find an introduction to Artificial Intelligence from a biologist’s perspective, including coverage of AI in precision medicine, disease detection, and drug development. The book also gives insights into the AI techniques used in biology and the applications of AI in food, and in environmental, evolutionary, agricultural, and bioinformatic sciences. Final chapters cover ethical issues surrounding AI and the impact of AI on the future.This book covers an interdisciplinary area and is therefore is an important subject matter resource and reference for researchers in biology and students pursuing their degrees in all areas of Life Sciences. It is also a useful title for the industry sector and computer scientists who would gain a better understanding of the needs and requirements of biological sciences and thus better tune the algorithms.
  • Proteomics Mass Spectrometry Methods

    Sample Preparation, Protein Digestion, and Research Protocols
    • 1st Edition
    • Paula Meleady
    • English
    Proteomics Mass Spectrometry Methods: Sample Preparation, Protein Digestion, and Research Protocols shares best practices collected across key laboratories and core facilities, taking the reader through key tactics for executing the most usual mass spectrometry experiments. Sections review research making use of MS proteomics experiments, focus on critical sample preparation, cover mammalian cell lines and samples from clinical tissue and biological fluids, discuss subcellular fractionation, provide methods for protein digestion both for in gel and in solution, and delve into key MS proteomics analysis protocols, including label-free LC-MS, TMT and iTRAQ labelled LC-MS, phosphorylation enrichment, ubiquination enrichment, and more. This book is the perfect lab manual for research teams or for use as a new staff training material. Core facility managers may also find it useful for sharing best practices with their staff and researchers.