• Why do identical cells act differently?

    From ScienceDaily@1337:3/111 to All on Wed Oct 14 21:30:44 2020
    Why do identical cells act differently? Team unravels sources of
    cellular 'noise'

    Date:
    October 14, 2020
    Source:
    University of Texas at Dallas
    Summary:
    Researchers have taken an important step toward explaining why
    genetically identical cells can produce varying amounts of the same
    protein associated with the same gene. Researchers demonstrated that
    most of the fluctuations in gene expression between identical cells
    occur in the first step of protein production, called transcription.



    FULL STORY ========================================================================== University of Texas at Dallas researchers have taken an important step
    toward explaining why genetically identical cells can produce varying
    amounts of the same protein associated with the same gene.


    ==========================================================================
    In a study published Aug. 18 and appearing in the Sept. 18 print edition
    of the journal Nucleic Acids Research, researchers demonstrated that most
    of the fluctuations in gene expression between identical cells occur in
    the first step of protein production, called transcription.

    Understanding why and how such fluctuations, or cellular noise, occur
    is a fundamental bioengineering problem, said Dr. Leonidas Bleris,
    associate professor of bioengineering in the Erik Jonsson School of
    Engineering and Computer Science and Fellow, Cecil H. and Ida Green
    Professor in Systems Biology Science.

    "The quest to understand cellular noise is driven primarily by our
    interest in applying engineering to biology. To paraphrase [physicist]
    Richard Feynman, by understanding, we will be able to create," said
    Bleris, the corresponding author of the study. "We are interested
    in applying control in cells to achieve desirable objectives. The
    applications range from sophisticated gene therapy to engineering pathways
    in order to produce valuable compounds." Nearly every cell in a person's
    body contains the same DNA, the master set of genetic instructions for
    making the complex proteins that do most of the biological work. DNA
    segments called genes encode specific proteins. But the amount of
    protein produced by a given gene -- referred to as gene expression -
    - can vary not only between people, but also among identical cells in
    the same person. That fluctuation in gene expression between identical
    cells is called cellular noise.

    Using a combination of experiments and theory, Bleris and his colleagues analyzed each stage of the process by which information in DNA is
    converted to proteins, a process referred to as the central dogma of
    molecular biology.



    ==========================================================================
    The process begins with transcription of a gene, in which the information
    in DNA is copied into a related kind of genetic material called RNA. The
    cell then uses the information in the RNA to build proteins.

    To understand the source of cellular noise, researchers in the Bleris Lab engineered custom genetic circuits, a synthetic biology approach that
    allowed the team to isolate each step of the standard protein-making
    process.

    Then, the team used the gene-editing tool CRISPR to insert single copies
    of these circuits surgically in a predetermined genomic location in
    human cells.

    This combination of synthetic biology and genome editing made it possible
    for the team to analyze fluctuations in cells at different stages of the protein- making process and pinpoint transcription as the source of noise.

    The 2020 Nobel Prize in chemistry was awarded Oct. 7 to two scientists who developed the CRISPR/Cas9 genetic scissors -- Dr. Emmanuelle Charpentier, director of the Max Planck Unit for the Science of Pathogens in Berlin,
    and Dr.

    Jennifer Doudna, a biochemist at the University of California, Berkeley
    and a Howard Hughes Medical Institute investigator.

    Understanding differences in how genetically identical cells behave can
    help scientists develop more effective, targeted therapies, Bleris said.



    ========================================================================== "Eventually, once we have a better understanding of how our genes
    operate in their intrinsically fluctuating environment, we will be able
    to engineer a more sophisticated class of gene therapies that can more appropriately address the diseases that ail humanity," said Tyler Quarton PhD'19, one of the study's lead authors.

    The research also raises questions for further study.

    "Understanding the sources of noise opens the path for asking new
    questions: What is the biological function of noise? Is noise used by
    cells to introduce diversity, or is it simply a nuisance?" explained
    Taek Kang, a biomedical engineering doctoral student, Eugene McDermott
    Graduate Fellow and co-lead author.

    The team also included Vasileios Papakis BS'20; Khai Nguyen, biomedical engineering senior; Chance Nowak, a molecular and cell biology doctoral student; and Dr. Yi Li, a research scientist in bioengineering.

    The research was supported by the National Science Foundation, including Bleris' NSF Faculty Early Career Development (CAREER) Award.


    ========================================================================== Story Source: Materials provided by
    University_of_Texas_at_Dallas. Original written by Kim Horner. Note:
    Content may be edited for style and length.


    ========================================================================== Journal Reference:
    1. Tyler Quarton, Taek Kang, Vasileios Papakis, Khai Nguyen, Chance
    Nowak,
    Yi Li, Leonidas Bleris. Uncoupling gene expression noise along the
    central dogma using genome engineered human cell lines. Nucleic
    Acids Research, 2020; 48 (16): 9406 DOI: 10.1093/nar/gkaa668 ==========================================================================

    Link to news story: https://www.sciencedaily.com/releases/2020/10/201014161648.htm

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