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Related Concept Videos

Tumor Immunotherapy01:27

Tumor Immunotherapy

Immunotherapy is a treatment that boosts or manipulates the immune system to fight diseases, including cancer. For instance, by stimulating an immune response through vaccinations against viruses that cause cancers, like hepatitis B virus and human papillomavirus, these diseases can be prevented. Nonetheless, some cancer cells can avoid the immune system due to their rapid mutation and division. The immune response to many cancers involves three phases: elimination, equilibrium, and escape.
Immunoprecipitation01:20

Immunoprecipitation

Immunoprecipitation, or IP, is a widely used technique that employs protein-antibody interactions to isolate proteins or protein complexes in their native state for studying protein-protein interactions, quaternary structures, or supramolecular complexes. Various modifications of the technique, including chromatin IP, cross-linking IP, and fluorescence IP, are commonly used.
Chromatin Immunoprecipitation
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Human Virome01:26

Human Virome

The human body harbors a vast and diverse viral community known as the human virome. The virome includes bacteriophages that infect bacteria, and eukaryotic viruses that infect human cells. Transient dietary and environmental viruses also contribute to this dynamic ecosystem. Estimates suggest the human body may contain on the order of 10¹³ viral particles, though abundance varies widely by body site and detection method.Comprehensive characterization of the virome has become possible only with...
Microorganisms in Medicine and Therapeutics01:29

Microorganisms in Medicine and Therapeutics

Microorganisms play a fundamental role in vaccine development, gene therapy, and therapeutic production. Their biological properties are harnessed to advance medicine and public health. Beyond immunization, microorganisms contribute to gut health, antibiotic synthesis, and genetic disease treatment.Live Attenuated and Inactivated VaccinesLive attenuated vaccines, such as the measles, mumps, and rubella (MMR) vaccine, utilize weakened forms of pathogens to closely resemble natural infections.
Immunocytochemistry and Immunohistochemistry01:22

Immunocytochemistry and Immunohistochemistry

Immunocytochemistry (ICC) and immunohistochemistry (IHC) are techniques that use antibodies to check for specific proteins or antigens in a sample. The technique was first published by Albert Coons in 1941 to detect the presence of pneumococcal antigen in tissue sections from mice infected with Pneumococcus. Immunocytochemistry helps localization of proteins or antigens in individual cells like blood cells, stem cells, etc., while immunohistochemistry does the same for tissue samples.
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Immunofluorescence Microscopy01:12

Immunofluorescence Microscopy

A fluorescence microscope uses fluorescent chromophores called fluorochromes, which can absorb energy from a light source and then emit this energy as visible light. Fluorochromes include naturally fluorescent substances (such as chlorophylls) and fluorescent stains that are added to the specimen to create contrast. Dyes such as Texas red and FITC are examples of fluorochromes. Other examples include the nucleic acid dyes 4’,6’-diamidino-2-phenylindole (DAPI), and acridine orange.
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Predictive Immune Modeling of Solid Tumors
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Published on: February 25, 2020

Immunoinformatics: current trends and future directions.

Joo Chuan Tong1, Ee Chee Ren

  • 1Institute for Infocomm Research, 1 Fusionopolis Way, #21-01 Connexis, South Tower, Singapore 138632, Singapore. jctong@i2r.a-star.edu.sg

Drug Discovery Today
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PubMed
Summary
This summary is machine-generated.

Immunoinformatics and immunomics accelerate immunology research by using computational models and large-scale data analysis. These fields enable new hypotheses and experiments beyond traditional methods.

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Area of Science:

  • Immunology
  • Bioinformatics
  • Computational Biology

Background:

  • Immunoinformatics is a rapidly advancing field crucial for modern immunology research.
  • Computational models are increasingly vital for guiding experimental design and hypothesis generation.
  • Traditional methods alone are insufficient for analyzing complex immunological data.

Purpose of the Study:

  • To review the latest trends in immunoinformatics and immunomics.
  • To discuss future directions and opportunities in these interdisciplinary fields.
  • To highlight the role of computational approaches in advancing immunology.

Main Methods:

  • Review of current literature and research trends in immunoinformatics.
  • Analysis of the integration of computer science, mathematics, and various 'omics' fields with immunology.
  • Discussion of computational model applications in analyzing complex immune system data.

Main Results:

  • Immunoinformatics significantly accelerates immunological research.
  • Computational models are instrumental in directing experiments and forming new hypotheses.
  • Immunomics enables large-scale analysis of immune system function by integrating diverse scientific disciplines.

Conclusions:

  • Immunoinformatics and immunomics represent a paradigm shift in immunology research.
  • These fields offer powerful tools for understanding the immune system at a large scale.
  • Future research will benefit from the synergy between immunology and computational sciences for bench-to-bedside applications.