Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Mismatch Repair

Mismatch Repair

Mismatch Repair

Mismatch Repair

Organisms are capable of detecting and fixing nucleotide mismatches that occur during DNA replication. This sophisticated process requires identifying the new strand and replacing the erroneous bases with correct nucleotides. Mismatch repair is coordinated by many proteins in both prokaryotes and eukaryotes.
The Mutator Protein Family Plays a Key Role in DNA Mismatch Repair
The human genome has more than 3 billion base pairs of DNA per cell. Prior to cell division, that vast amount of genetic...

Mismatch Repair

Mismatch Repair

Genome Copying Errors

Genome Copying Errors

DNA replication is a well-evolved process that copies millions of base pairs with high fidelity during each cell division. Occasionally a wrong base or a long stretch of wrong bases may get added to the daughter strands. If the errors are left unchecked, cells might accumulate several mutations that might endanger their survival. Therefore, the copying errors are checked and repaired at three levels.

Base Excision Repair

Base Excision Repair

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.
The first step of...

Base Excision Repair

Base Excision Repair

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Population-scale Y chromosome assemblies reveal recurrent remodeling within constrained architectures.

bioRxiv : the preprint server for biology·2026

Same author

Strain-level metagenomic profiling using pangenome graphs with PanTax.

Genome research·2026

Same author

Complete genomes of a multi-generational pedigree to expand studies of genetic and epigenetic inheritance.

bioRxiv : the preprint server for biology·2025

Same author

Correction: A graph neural network-based approach for predicting SARS-CoV-2-human protein interactions from multiview data.

PloS one·2025

Same author

Sequence-to-graph alignment based copy number calling using a network flow formulation.

bioRxiv : the preprint server for biology·2025

Same author

Locityper enables targeted genotyping of complex polymorphic genes.

Nature genetics·2025

Same journal

Biomedical Concept Recognition with Error-aware Negative-enhanced Ranking Framework.

Bioinformatics (Oxford, England)·2026

Same journal

TEDLH: Domain HMMs for sensitive detection of remote homologues.

Bioinformatics (Oxford, England)·2026

Same journal

PLNFGL: Joint Estimation of Multi-Condition Gene Networks from Single-cell RNA-seq Data.

Bioinformatics (Oxford, England)·2026

Same journal

MCFST: Spatial domain identification method based on multi-view graph convolutional network and graph fusion network.

Bioinformatics (Oxford, England)·2026

Same journal

SpaBiT: Enhancing Spatial Transcriptomics Resolution via Bidirectional Attention Transformers.

Bioinformatics (Oxford, England)·2026

Same journal

EDEL: Enhancing Dense Retrievers for Curation of Biomedical Knowledge Bases.

Bioinformatics (Oxford, England)·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Apr 12, 2026

Generation of Genomic Deletions in Mammalian Cell Lines via CRISPR/Cas9

Generation of Genomic Deletions in Mammalian Cell Lines via CRISPR/Cas9

Published on: January 3, 2015

Repeat- and error-aware comparison of deletions.

Roland Wittler¹, Tobias Marschall¹, Alexander Schönhuth¹

¹Genome Informatics, Faculty of Technology and Center for Biotechnology (CeBiTec), Bielefeld University, Germany, Center for Bioinformatics, Saarland University and Department of Computational Biology and Applied Algorithmics, Max Planck Institute for Informatics, Saarbrücken, Germany, Centrum Wiskunde & Informatica (CWI), Life Sciences Group, Amsterdam, The Netherlands and Helsinki Institute for Information Technology (HIIT), Department of Computer Science, University of Helsinki, Finland.

Bioinformatics (Oxford, England)

|May 17, 2015

Summary

This summary is machine-generated.

A new framework accurately compares genetic deletions, addressing inaccuracies and ambiguities. This method significantly reduces duplicate entries in variant databases, improving data quality for genomic analyses.

More Related Videos

Generating CRISPR/Cas9 Mediated Monoallelic Deletions to Study Enhancer Function in Mouse Embryonic Stem Cells

Generating CRISPR/Cas9 Mediated Monoallelic Deletions to Study Enhancer Function in Mouse Embryonic Stem Cells

Published on: April 2, 2016

Proofreading and DNA Repair Assay Using Single Nucleotide Extension and MALDI-TOF Mass Spectrometry Analysis

Proofreading and DNA Repair Assay Using Single Nucleotide Extension and MALDI-TOF Mass Spectrometry Analysis

Published on: June 19, 2018

Related Experiment Videos

Last Updated: Apr 12, 2026

Generation of Genomic Deletions in Mammalian Cell Lines via CRISPR/Cas9

Generation of Genomic Deletions in Mammalian Cell Lines via CRISPR/Cas9

Published on: January 3, 2015

Generating CRISPR/Cas9 Mediated Monoallelic Deletions to Study Enhancer Function in Mouse Embryonic Stem Cells

Generating CRISPR/Cas9 Mediated Monoallelic Deletions to Study Enhancer Function in Mouse Embryonic Stem Cells

Published on: April 2, 2016

Proofreading and DNA Repair Assay Using Single Nucleotide Extension and MALDI-TOF Mass Spectrometry Analysis

Proofreading and DNA Repair Assay Using Single Nucleotide Extension and MALDI-TOF Mass Spectrometry Analysis

Published on: June 19, 2018

Area of Science:

Genomics
Bioinformatics

Background:

The rapid growth of next-generation sequencing data leads to a surge in reported genetic variants.
Lack of standardized methods for comparing deletions causes inaccuracies and ambiguities, affecting data quality and downstream analyses.

Purpose of the Study:

To introduce a robust framework for comparing deletion variants.
To address challenges posed by inaccurately predicted breakpoints and repeat-induced ambiguities.

Main Methods:

Development of a sound framework for deletion comparison.
Implementation of a maximum matching algorithm to identify virtual duplicates between prediction sets.

Main Results:

The proposed framework demonstrates superiority over traditional overlap criteria.
The approach substantially reduces redundancy within variant callsets.
Identification of numerous duplicate entries in the Database of Genomic Variants.

Conclusions:

The developed framework provides a sound method for comparing deletions, enhancing data comparability.
The findings highlight the need for improved standards in variant annotation and database curation.