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    Home > Biochemistry News > Biotechnology News > Nature Sub-Journal: DNA-based data structure system

    Nature Sub-Journal: DNA-based data structure system

    • Last Update: 2021-08-28
    • Source: Internet
    • Author: User
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    Newcastle University's research provides important insights into how we can transform DNA into a green-designed data structure that organizes data like a traditional computer
    .

    The team, led by researchers from the School of Computer Science at Newcastle University, has created a new dynamic DNA data structure that can store and recall information from DNA molecules in an orderly manner
    .


    They also analyzed how these structures are connected to external nucleic acid computing circuits


    The scientists published their findings in the journal Nature Communications, where they demonstrated an in vitro implementation of a stacked data structure using DNA polymers
    .


    As a DNA chemical reaction system, the stack system can record the combination of two different DNA signals (0 and 1), release the signals into the solution in the opposite order, and then record again


    The stack is a linear data structure that follows a specific order of execution of operations.
    It stores and retrieves information (DNA signal strands) in a last-in, first-out order by constructing and truncating single ssDNA strands of DNA "polymers"
    .


    This stack data structure may eventually be embedded in the body environment to store messenger RNA and reverse the time sequence of translation reactions, as well as other applications


    Professor Natalio Krasnogor from the School of Computer Science at Newcastle University, who led the research, explained: “Our civilization is a thirst for data, and all thirst for information processing has a strong impact on the environment
    .


    For example, the pollution level of digital technology exceeds In the aviation industry, the world’s top 7000 data centers use about 2% of the world’s electricity.


    "In recent years, DNA has proven to be a good substrate for storing data, and DNA is a renewable and sustainable resource
    .


    In Newcastle, we are passionate about sustainable development.


    The co-author of the study, Dr.
    Annunziata Lopiccolo, an assistant researcher at the Center for Synthetic Biology and Bioeconomics at Newcastle University, added: “If we start thinking about data storage, electronic chips, USB drives and many other existing technologies will immediately come to mind.

    But in the past few years, biologists have challenged the data storage media sector, proving that DNA is essentially a highly stable and flexible medium that can be used as quaternary data storage instead of binary data storage
    .


    In our In our work, we want to prove that it is possible to use quaternary codes in the form of programmable signals to produce readable inputs and outputs with linear and organized data structures


    Dr.


    Harold Fellman, a co-author of the study and a lecturer at the School of Computer Science at Newcastle University, added: “Our biomolecular data structure, that is, data and operations are represented by short pieces of DNA, and biological realization has been taken into consideration in the design.


    Dr.


    Benjamin Hilt-Edis, a co-author of the study and an associate researcher at the School of Computer Science at Newcastle University, said: “Developing a computational model of DNA chemistry and seeing the experimental results obtained in the laboratory are very good.


    The experimental DNA stack system proved that polymerized DNA chemistry can be used as a dynamic data structure, and the principle of storing two types of DNA signals in a last in first out order
    .
    Although more research is needed to determine the best way to archive and obtain DNA-based data, the research highlights the huge potential of this technology and how it can help address the rapidly growing data needs
    .

    Original reference:

    Lopiccolo, A.
    , Shirt-Ediss, B.
    , Torelli, E.
    et al.
    A last-in first-out stack data structure implemented in DNA.
    Nat Commun12,4861 (2021).
    https://doi.
    org/ 10.
    1038/s41467-021-25023-6

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