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Related Concept Videos

Mutations01:39

Mutations

94.4K
Overview
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Mutations01:35

Mutations

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Mutations are changes in the sequence of DNA. These changes can occur spontaneously or they can be induced by exposure to environmental factors. Mutations can be characterized in a number of different ways: whether and how they alter the amino acid sequence of the protein, whether they occur over a small or large area of DNA, and whether they occur in somatic cells or germline cells.
Chromosomal Alterations Are Large-Scale Mutations
While point mutations are changes in a single nucleotide in...
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Viral Mutations00:36

Viral Mutations

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A mutation is a change in the sequence of bases of DNA or RNA in a genome. Some mutations occur during replication of the genome due to errors made by the polymerase enzymes that replicate DNA or RNA. Unlike DNA polymerase, RNA polymerase is prone to errors because it is not capable of “proofreading” its work. Viruses with RNA-based genomes, like HIV, therefore accrue mutations faster than viruses with DNA-based genomes. Because mutation and recombination provide the raw material...
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Mutation, Gene Flow, and Genetic Drift01:09

Mutation, Gene Flow, and Genetic Drift

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In a population that is not at Hardy-Weinberg equilibrium, the frequency of alleles changes over time. Therefore, any deviations from the five conditions of Hardy-Weinberg equilibrium can alter the genetic variation of a given population. Conditions that change the genetic variability of a population include mutations, natural selection, non-random mating, gene flow, and genetic drift (small population size).
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Mutations in Microorganisms01:18

Mutations in Microorganisms

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Mutations are heritable changes in an organism’s genome involving alterations in the base sequence of DNA or RNA. These changes can influence cellular processes and phenotypic traits, potentially transforming the unaltered wild type into a mutant form. Such changes, termed forward mutations, are pivotal in shaping the genetic diversity of organisms.RNA viruses exhibit the highest mutation rates due to the absence of robust proofreading mechanisms during genome replication. In contrast,...
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Point and Frameshift Mutations01:30

Point and Frameshift Mutations

905
Point mutations are genetic alterations involving the change of a single nucleotide base pair in DNA. Depending on how the alteration affects protein synthesis, they can lead to various consequences.Point mutations fall into the following types:Silent mutations occur when a nucleotide change does not alter the amino acid sequence due to the redundancy of the genetic code. For instance, changing ACC to ACA still encodes threonine, leaving the protein function unaffected. This occurs because...
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A practical guide for mutational signature analysis in hematological malignancies.

Francesco Maura1,2,3, Andrea Degasperi4,5,6, Ferran Nadeu7,8

  • 1Myeloma Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, 10065, NY, USA. mauraf@mskcc.org.

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Analyzing cancer mutational signatures requires standardized methods. This study compares tools for whole-genome sequencing data in leukemia and myeloma, offering solutions for accurate and reproducible results.

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Area of Science:

  • Genomics
  • Cancer Biology
  • Bioinformatics

Background:

  • Mutational signature analysis is crucial for understanding cancer, yet lacks standardized interpretation.
  • Current methods for analyzing whole-genome sequencing data present challenges in accuracy and reproducibility.

Purpose of the Study:

  • To evaluate and compare public mutational signature analysis tools using whole-genome sequencing data from multiple myeloma (MM), chronic lymphocytic leukemia (CLL), and acute myeloid leukemia.
  • To identify and address common inaccuracies in de novo signature extraction and fitting.
  • To propose a framework for accurate and reproducible mutational signature analysis.

Main Methods:

  • Comparative analysis of public signature analysis tools.
  • Whole-genome sequencing data from MM, CLL, and acute myeloid leukemia cohorts.
  • Validation using orthogonal approaches.
  • Development of reproducible solutions for signature analysis pitfalls.

Main Results:

  • Identified common inaccuracies including erroneous signature assignment and overcalling of signatures.
  • Reported evidence of c-AID activity in unmutated CLL cases.
  • Demonstrated the absence of BRCA1/BRCA2-mediated homologous recombination deficiency in a MM cohort.
  • Developed and validated reproducible solutions for de novo signature extraction and fitting.

Conclusions:

  • A comprehensive mutational signature analysis framework is proposed to ensure accurate and reproducible data.
  • Standardized analysis improves biological insights from cancer genomics data.
  • Validated methods enhance the reliability of mutational signature interpretation for clinical applications.