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Related Concept Videos

Mismatch Repair01:36

Mismatch Repair

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Base Excision Repair01:54

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One of the common DNA damages is the chemical alteration of single bases by alkylation, oxidation, or deamination. The altered bases cause mispairing and strand breakage during replication. This type of damage causes minimal change to the DNA double helix structure and can be repaired by the base excision repair (BER) pathways. BER corrects damaged DNA sequences by removing the damaged base and restoring the original base sequence using the complementary strand as a template.
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Fixing Double-strand Breaks02:04

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The double-stranded structure of DNA has two major advantages. First, it serves as a safe repository of genetic information where one strand serves as the back-up in case the other strand is damaged. Second, the double-helical structure can be wrapped around proteins called histones to form nucleosomes, which can then be tightly wound to form chromosomes. This way, DNA chains up to 2 inches long can be contained within microscopic structures in a cell. A double-stranded break not only damages...
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Since the discovery of the two BER pathways, there has been a debate about how a cell chooses one pathway over the other and the factors determining this selection. Numerous in vitro experiments have pointed out multiple determinants for the sub-pathway selection. These are:
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Updated: Aug 29, 2025

Using Next Generation Sequencing to Identify Mutations Associated with Repair of a CAS9-induced Double Strand Break Near the CD4 Promoter
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Repair Your Missing Data.

John M Taylor

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    |September 13, 2022
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    Summary
    This summary is machine-generated.

    Nurse educators should use reparative techniques to address missing data threats. The extra dependent variable technique offers a simple, accessible method for improving research validity.

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    Area of Science:

    • Nursing Education
    • Research Methodology
    • Biostatistics

    Background:

    • Missing data can compromise the validity of research findings in nursing.
    • Traditional methods for handling missing data may not always be optimal.
    • Nurse educators need practical strategies to enhance the rigor of student research.

    Purpose of the Study:

    • To advocate for the integration of reparative techniques in nursing research analyses.
    • To introduce nurse educators and researchers to the extra dependent variable technique.
    • To highlight the accessibility and ease of use of this specific missing data imputation method.

    Main Methods:

    • This article focuses on the extra dependent variable technique.
    • The technique is presented as a reparative method to address missing data.
    • Emphasis is placed on the technique's simplicity and software availability.

    Main Results:

    • The extra dependent variable technique provides a viable solution for mitigating threats to validity from missing data.
    • Its straightforward implementation makes it suitable for widespread adoption in nursing research.
    • Popular statistical software supports this imputation method, enhancing its practical utility.

    Conclusions:

    • Incorporating reparative techniques like the extra dependent variable method can strengthen nursing research.
    • Nurse educators should guide students in employing these accessible methods to improve data analysis.
    • Adopting such techniques enhances the overall quality and reliability of evidence-based nursing practice.