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    Home > Active Ingredient News > Antitumor Therapy > [Research] Chinese female scientist Yanjun Qi discovered that mRNA is the key to fighting Alzheimer's disease and cancer!

    [Research] Chinese female scientist Yanjun Qi discovered that mRNA is the key to fighting Alzheimer's disease and cancer!

    • Last Update: 2021-10-11
    • Source: Internet
    • Author: User
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    This article is original by Translational Medicine Network.
    Please indicate the source for reprinting.
    Author: Liz Zee Guide: mRNA, the Chinese translation is "messenger ribonucleic acid", which is transcribed from a strand of DNA as a template and carries genetic information to guide protein synthesis.
    Class single-stranded ribonucleic acid
    .

    mRNA is a direct template to guide protein biosynthesis, accounting for 2% to 5% of the total RNA in the cell.
    There are many types, and their molecular sizes vary greatly
    .

    Scientists are working hard to understand the process of DNA-mRNA, which can be controlled and used to achieve precision medicine for various diseases, such as Alzheimer's disease and cancer
    .

    The research article was published on the official website of the University of Virginia yesterday.
    The article is titled "MRNA COULD FIGHT DISEASES SUCH AS ALZHEIMER'S AND CANCER, WITH HELP OF UVA SCIENTIST.
    " His contribution has become a well-known "hero"
    .

    Scientists engineered mRNA in the laboratory to instruct human cells how to recognize and destroy the protruding protein that is the entrance to the virus
    .

    This method is very precise and effective, giving us a glimpse of the power of mRNA
    .

    One day, mRNA can help the human body deal with cancer and other diseases with the same effect
    .

    Qi Yanjun, associate professor of computer science at the School of Engineering and Applied Sciences at the University of Virginia (UVA), may hold the key to achieving this goal
    .

    Yanjun Qi has been an associate professor in the Department of Computer Science at the University of Virginia since 2013
    .

    From July 2008 to August 2013, she worked as a senior researcher in the machine learning department of NEC Labs American in Princeton, New Jersey
    .

    Her research interests are machine learning, deep learning and bioinformatics
    .

    She received a bachelor's degree with the highest honors from the Department of Computer Science, Tsinghua University, Beijing in 2000, and a Ph.
    D.
    from the School of Computer Science at Carnegie Mellon University in May 2008
    .

    She has served as a program committee member and reviewer of many famous international conferences/journals, and co-chaired the NIPS "Computational Biology Machine Learning" seminar
    .

    Professor Qi has won the CAREER Award from NSF
    .

    DNA is the genetic code of human beings, and it has instructions that instruct cells to perform all biological functions
    .

    The mRNA transmits these instructions to the cell
    .

    Scientists hope to control and use the human body's DNA-mRNA-cell pathway of action (this process is called gene expression) to achieve precision medicine
    .

    However, before this potential becomes a reality, researchers must find out what instructions the genes in our DNA send via mRNA
    .

    Professor Yanjun Qi is at the forefront of this discovery
    .

    She is using powerful deep learning models to analyze biomedical data to reveal how genes and mRNA interact
    .

    She said, "The relationship between DNA instructions, mRNA, and how they guide cell activity is not very clear for most diseases
    .

    What we are trying to understand is the DNA-mRNA step, because this step can tell us how the genetic code is linked to the manifestations of the disease
    .

    "The discovery of these connections may lead us to the future of highly targeted therapies
    .

    Just as mRNA can instruct cells to prevent viruses from invading the human body, DNA mRNA can one day arm cells with related instructions to establish a fight against disease before the disease occurs.
    First-line defense
    .

    Professor Yanjun Qi emphasized that this work is still in the earliest stage of discovery
    .

    She said, “A large amount of data on the genetic code is being compiled, and the question is how to understand this data and use it for beneficial goals
    .

    We are creating artificial intelligence tools to find things that are currently completely unknown
    .

    We are talking about a long-term vision, and we believe that we will achieve this goal
    .

    "The long end point reflects the huge scale of this task
    .
    The
    human genetic code includes 6 billion data points that contribute to gene expression, and these data points are connected to more than 100 billion cells in the human body
    .

    Professor Yanjun Qi said, "From genes to mRNAs to proteins that perform millions of functions, there are many biological pathways
    .

    Decoding such a large amount of detail into a specific path of the disease is a difficult task
    .

    "This is the role of powerful artificial intelligence-based computer models
    .

    They can analyze patterns in data, making it easier to find these relationships
    .

    Professor Yanjun Qi said, “A digital model can draw inferences from the data it previously entered and apply them to unknown factors, thereby identifying new things more quickly
    .

    Each new discovery helps to narrow down.
    The focus of ongoing exploration is that computers are learning past data to identify basic rules
    .

    "When new rules are discovered, researchers can infer them and go beyond existing cognition
    .

    As a part-time faculty member of the Public Health Genomics Center of UVA School of Medicine and UVA School of Data Science, Professor Yanjun Qi worked with biological researchers in different fields of medicine to make model data to better understand the genetic code and its relationship with diseases
    .

    A lifelong interest in the holistic analysis of science and natural methods, coupled with a strong desire to create mathematical tools to solve complex problems, enabled Professor Yanjun Qi to embark on a path of overlapping artificial intelligence, biology and medicine
    .

    She said, "Computer science is a skill and tool, because the algorithm we create is agnostic and can solve any problem
    .

    A good tool can solve the problem completely
    .

    " Since joining UVA School of Engineering in 2013, Yanjun Qi The longest collaboration the professor has ever had is with Clint L.
    Miller, a resident member of the Center for Public Health Genomics and an assistant professor in the Department of Public Health Sciences of the School of Medicine
    .

    The two created a tool that can be used to study specific data on genetic factors associated with cardiovascular disease risk
    .

    Initially, Miller contacted Professor Yanjun Qi because a student in his laboratory expressed interest in learning more artificial intelligence methods
    .

    He said, “After the first meeting, we realized that our research projects were complementary and had similar interests, so we naturally started to collaborate
    .

    Miller pointed out that due to the plummeting cost of DNA sequencing and the rise of more scalable computational analysis tools, the fields of genomic medicine and gene drug discovery are developing rapidly
    .

    He said: "We are now at a critical turning point.
    Large-scale human genetic data sets and artificial intelligence-based predictive algorithms can be used to develop the next generation of precision medicines
    .

    The goal of our work in this field is to accelerate the discovery and transformation of genetic drugs
    .

    "Miller, who has obtained second-level titles in the fields of biomedical engineering, biochemistry and molecular genetics, believes that the key to innovation lies in bridging the knowledge gap between various disciplines
    .

    By combining his expertise in disease biology with Qi Yanjun Professors have knowledge of machine learning, and they hope to answer the most pressing biomedical questions in the field
    .

    In every collaboration, Professor Yanjun Qi weighs the power of listening, learning, and understanding with the power of artificial intelligence models.

    .

    she said, "I have been trying to create a good tool, in order to create a good tool, you must know your user
    .

    I try to understand the problems that the biologists I work with are trying to solve—especially the data they use
    .

    "This year, she was commended for her contributions to medical research, when she was hired by the National Institutes of Health as a National Scholar of Data and Technology
    .

    She will contribute her Ideas and tools, and use large genomics data sets to better understand Alzheimer’s disease in order to find effective treatments
    .

    Reference materials: https://news.
    virginia.
    edu/content/mrna-could-fight-diseases-such-alzheimers-and-cancer-help-uva-scientist Note: This article aims to introduce medical research progress and cannot be used as a treatment plan Reference
    .

    If you need health guidance, please go to a regular hospital
    .

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