• Transcription factors may inadvertently

    From ScienceDaily@1337:3/111 to All on Wed Oct 21 21:30:30 2020
    Transcription factors may inadvertently lock in DNA mistakes
    Binding to mismatched DNA takes less energy; may explain how regulatory mutations get locked in

    Date:
    October 21, 2020
    Source:
    Duke University
    Summary:
    A team of researchers has found that transcription factors have
    a tendency to bind strongly to 'mismatched' sections of DNA,
    i.e. sections of the genome that were not copied correctly. The
    strong binding of transcription factors to these mismatched sections
    of regulatory DNA might be a way in which random mutations become
    a problem that leads to disease, including cancer.



    FULL STORY ========================================================================== Transcription factor proteins are the light switches of the human
    genome. By binding to DNA, they help turn genes "on" or "off" and start
    the important process of copying DNA into an RNA template that acts as
    a blueprint for a new protein.


    ==========================================================================
    By being choosy about which genes they turn on, transcription factors
    determine which rooms in the house are lighted and which aren't, or
    rather, which components of a person's genome are activated.

    A team of Duke researchers has found that transcription factors have a
    tendency to bind strongly to "mismatched" sections of DNA, sections of the
    code that were not copied correctly. The strong binding of transcription factors to mismatched sections of regulatory DNA might be a way in which
    random mutations become a problem that leads to disease, including cancer.

    The findings appear Oct. 21 in the journal Nature.

    Most of the time, DNA replication in the body goes smoothly, with
    nucleotides locking arms with their complementary base pair and marching through the cycle together in intended A-T and C-G fashion. However, as
    Gordan describes it, "no polymerase is perfect" and every now and then, a nucleotide will be paired with the wrong partner, resulting in a mismatch.

    Pipetting transcription factor proteins on slides pre-blotted
    with thousands of DNA molecule samples, a research team led by Duke computational biologist Raluca Gordan Ph.D., showed that the proteins
    had a stronger bond with the sections of DNA with the mismatched base
    pairs than with those with perfectly matched base pairs, or "normal"
    DNA structure.



    ==========================================================================
    But what makes these 'mistakes' an attractive binding site for
    transcription factor proteins? For insight, Gordan, an associate professor
    in the Department of Biostatistics and Bioinformatics and the Department
    of Computer Science, reached out to Hashim Al-Hashimi, Ph.D., a James
    B. Duke Professor of Biochemistry, and expert in DNA structure and
    dynamics who works just across the street.

    Al-Hashimi studies nucleic acids (DNA and RNA) and their interactions with proteins and small molecules, with the idea that how these biomolecules
    look and move is as important for their function as their chemical
    properties.

    Looking at the experimental results, Gordan and Al-Hashimi came to the conclusion that the strong interaction between transcription factor
    proteins and mismatched DNA has a lot to do with laziness. When
    a transcription factor protein binds to DNA, it must spend energy
    distorting the site, for example by bending the DNA to its will. However, mismatched sections of DNA are already distorted, so the transcription
    factor protein has to do less work.

    "That's when the transcription factor doesn't need to pay that energetic penalty" to get the job done, Gordan said.

    "If we are ever to attain a deep and predictive understanding of how DNA
    is recognized by proteins in cells, we need to go beyond the conventional description in terms of static structures and move towards describing
    both DNA and the protein molecules that bind to them in terms of dynamic structures that have different preferences to adopt a wide range of
    shapes," Al-Hashimi said.

    Gordan said that going forward, the team hopes to understand how this interaction relates to disease development. If a mismatched base pair,
    bound strongly by a transcription factor, makes it through the DNA
    replication cycle without being repaired by another type of protein --
    known as a repair enzyme - - it can become a mutation, and mutations
    can lead to genetic diseases like cancer and neurodegeneration.

    "We are now convinced that the interactions between transcription
    factors and mismatches are really strong," she said. "So the next step
    is to understand what this means for the cell." "We already know that regulatory regions of the genome harbor more cancer mutations than
    expected by chance. We just do not know why. The strong interactions
    between transcription factors and DNA mismatches, which could interfere
    with repair of the mismatches, provide a novel mechanism for the
    accumulation of mutations in regulatory DNA."

    ========================================================================== Story Source: Materials provided by Duke_University. Original written
    by Lindsay Key. Note: Content may be edited for style and length.


    ========================================================================== Journal Reference:
    1. Ariel Afek, Honglue Shi, Atul Rangadurai, Harshit Sahay, Alon
    Senitzki,
    Suela Xhani, Mimi Fang, Raul Salinas, Zachery Mielko, Miles
    A. Pufall, Gregory M. K. Poon, Tali E. Haran, Maria A. Schumacher,
    Hashim M. Al- Hashimi, Raluca Gorda^n. DNA mismatches reveal
    conformational penalties in protein-DNA recognition. Nature, 2020;
    DOI: 10.1038/s41586-020-2843-2 ==========================================================================

    Link to news story: https://www.sciencedaily.com/releases/2020/10/201021112356.htm

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