Natno Biotechl: Heavyweight! Scientists have developed an online map of human immunohiscism for precision medicine research!

, June 15, 2020 /
PRNewswire/ -- In a recent study published in the international journal
nature biotechnology, scientists from the Duke-NUS School of Medicine and others developed an interactive study of the genes and proteins that make up the immune systemThe web map, known as EPIC (extended multidimensional immunohistology feature, Extended Polydimensional Immunome Characters), has a comprehensive and expanded database of immune cells that ranges from cord blood to adulthood and is now used by scientists around the world to study theimmunologymechanisms of the bodyPicture Source: CC0 Public Domain
The immune system is a complex network of cells and proteins that protects the body from infections and diseases, and researchers are currently interested in studying the human immune group and its workings, and they want to understand why different individuals respond differently to viruses, therapies and vaccines, and understand deeply that human immunological groups are expected to help develop multiple effective treatments or new vaccines for diseaseEPIC plays a key role in expanding and in-depth research by providing the composition of an immune map and using artificial intelligence to layer and analyze data sets, and now researchers can use EPIC to explore the overall structure of different age groups of the human immune group, or analyze specific cell types, which means epic can be used in basic, translational, and clinical research'The study of the human immune group is similar to MRI scans of humans at the cellular level to help us find out what is right, what is wrong, and how we solve the disease,' said Salvatore Albani, aresearcher, and we hope that EPIC will serve as a comprehensive database and analysis tool for the Human Immune Group to help clinical researchers understand the mechanisms by which the body's immunity occurs and predict the clinical response to individual therapies, and even to help develop new vaccines and disease therapiesResearchers can dig deep into the EPIC database, not only to obtain detailed and complete information by subset of cells, but also to obtain information on the development and maturity of the immune system, but also to help clinical researchers develop the right roles and identify new targets for new treatments that match different immune systemsresearcher Albani says EPIC can also speed up the process of finding a vaccine for researchers, and when we develop a vaccine, we need to look at the immune characteristics that predict the body's response to potential vaccines, which epic can help quickly identify and accelerate the development of the vaccineEPIC can now be used by clinical scientists to study a variety of human diseases, such as arthritis, cancer, and immunodeficiency, while researchers can also use EPIC to identify potential therapeutic targets and immune characteristics associated with poor clinical prognosis in patients withautoimmunediseasesin addition
EPIC can be used by clinical scientists who useimmunologydata to analyze relevant data using-immunologicaldata, as it provides a large-scale database of healthy cell analysis and the right tools to analyze relevant data, and its built-inbioinformaticsmechanisms help analyze relevant data, another unique feature of EPIC is that its data is presented dynamically and interactively, which helps researchers observe and analyze data from different perspectivestransformation altogether is a very long process that takes a lot of time and resources, and researchers expect that in the future EPIC will serve as an intelligent immunological data and analysis tool to help simplify and accelerateimmunologyresearch and translational medicine, paving the way for more clinical studiesInitially EPIC started only with the phenotype of the Asian population, but over time it will also include international databases of immune cells, such as the European Union and the United States, and now EPIC has been designed as an open tool that can be used by scientists around the world, whereas any scientist can contribute their own samples, data and new analytical tools(BioValleyBioon.com)origins:Yeo, J.G., Wasser, M., Kumar, P et al.
The Extended Poly Diwed Dweed (EPIC) web-based and discovery tool for cytometry data .
Natno Biotechl 38, 679-684 (2020) doi: 10.1038/s41587-020-0532-1