Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Mutations01:39

Mutations

94.5K
Overview
94.5K
Mutations01:35

Mutations

44.5K
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...
44.5K
Viral Mutations00:36

Viral Mutations

39.9K
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...
39.9K
Mutation, Gene Flow, and Genetic Drift01:09

Mutation, Gene Flow, and Genetic Drift

64.1K
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).
64.1K
Mutations in Microorganisms01:18

Mutations in Microorganisms

718
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,...
718
Point and Frameshift Mutations01:30

Point and Frameshift Mutations

1.1K
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...
1.1K

You might also read

Related Articles

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

Sort by
Same author

A Reliable Method for Thawing Primary AML and CMML Mononuclear Cells to Preserve Viability and Function.

Bio-protocol·2026
Same author

DeSpotX: Identifiability-Based Decontamination for Spatial Transcriptomics.

bioRxiv : the preprint server for biology·2026
Same author

Non-invasive profiling of the tumour microenvironment with spatial ecotypes.

Nature·2026
Same author

CD47 stabilizes ROBO2 to regulate glioblastoma progression by preventing ITCH-mediated ubiquitination.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Change of Left Ventricular Myocardial Contractility in Speckle Tracking Echocardiography After Transjugular Intrahepatic Portosystemic Shunt Predicts Survival.

Frontiers in gastroenterology (Lausanne, Switzerland)·2026
Same author

IRF2BP2::JAK2 Defines a Novel Kinase-Activating Fusion in Pediatric T-Cell Acute Lymphoblastic Leukemia.

Genes, chromosomes & cancer·2026

Related Experiment Video

Updated: Jan 29, 2026

Flow Cytometry to Estimate Leukemia Stem Cells in Primary Acute Myeloid Leukemia and in Patient-derived-xenografts, at Diagnosis and Follow Up
09:01

Flow Cytometry to Estimate Leukemia Stem Cells in Primary Acute Myeloid Leukemia and in Patient-derived-xenografts, at Diagnosis and Follow Up

Published on: March 26, 2018

14.7K

Data mining for mutation-specific targets in acute myeloid leukemia.

Brooks Benard1, Andrew J Gentles2, Thomas Köhnke1

  • 1Department of Medicine, Division of Hematology, Cancer Institute, and Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, Stanford, CA, USA.

Leukemia
|February 8, 2019
PubMed
Summary

New FDA-approved therapies target specific mutations in acute myeloid leukemia (AML), offering new hope. Accessible bioinformatic tools and data sets can accelerate the discovery of further mutation-specific AML treatments.

More Related Videos

Intra-Peritoneal Transplantation for Generating Acute Myeloid Leukemia in Mice
10:02

Intra-Peritoneal Transplantation for Generating Acute Myeloid Leukemia in Mice

Published on: January 6, 2023

2.5K
Author Spotlight: Analyzing Bone Marrow Microenvironment in Murine Hematological Malignancies
06:33

Author Spotlight: Analyzing Bone Marrow Microenvironment in Murine Hematological Malignancies

Published on: November 10, 2023

1.9K

Related Experiment Videos

Last Updated: Jan 29, 2026

Flow Cytometry to Estimate Leukemia Stem Cells in Primary Acute Myeloid Leukemia and in Patient-derived-xenografts, at Diagnosis and Follow Up
09:01

Flow Cytometry to Estimate Leukemia Stem Cells in Primary Acute Myeloid Leukemia and in Patient-derived-xenografts, at Diagnosis and Follow Up

Published on: March 26, 2018

14.7K
Intra-Peritoneal Transplantation for Generating Acute Myeloid Leukemia in Mice
10:02

Intra-Peritoneal Transplantation for Generating Acute Myeloid Leukemia in Mice

Published on: January 6, 2023

2.5K
Author Spotlight: Analyzing Bone Marrow Microenvironment in Murine Hematological Malignancies
06:33

Author Spotlight: Analyzing Bone Marrow Microenvironment in Murine Hematological Malignancies

Published on: November 10, 2023

1.9K

Area of Science:

  • Hematology and Oncology
  • Bioinformatics and Computational Biology

Background:

  • Recent FDA approvals of targeted therapies (midostaurin, enasidenib, ivosidenib) provide mutation-directed treatment for up to 45% of de novo adult acute myeloid leukemia (AML).
  • Advances in data generation (gene expression, sequencing, epigenetics) and computational tools offer potential for accelerated discovery of novel AML therapies.
  • A gap exists between the availability of complex biological data and the capacity of clinicians/researchers to analyze it due to time and training constraints.

Purpose of the Study:

  • To review currently available data sets and user-friendly, web-based bioinformatic tools for discovering mutation-specific AML targets.
  • To emphasize accessible resources that do not require coding experience for clinicians and experimental hematologists.
  • To demonstrate how existing data can be mined for novel therapeutic targets using various computational approaches.

Main Methods:

  • Review of publicly available data sets including gene expression, exome sequencing, RNA sequencing (bulk and single-cell), DNA methylation, chromatin, and germline quantitative trait loci.
  • Identification and summary of accessible, web-based bioinformatic tools and applications for data analysis.
  • Illustrative examples of data mining strategies such as synthetic lethality, drug repurposing, epigenetic sub-grouping, and proteomic network analysis.

Main Results:

  • Multiple large and complex data sets from AML tissue banks are available for end-user exploration.
  • A growing number of computational tools, particularly web-based applications, are emerging to facilitate data analysis without requiring coding expertise.
  • Data mining can reveal potential therapeutic targets through approaches like synthetic lethality and drug repurposing, though validation models need improvement.

Conclusions:

  • Accessible bioinformatic tools and comprehensive data sets hold significant promise for accelerating the discovery of mutation-specific therapies in AML.
  • Web-based, user-friendly platforms are crucial for enabling broader adoption by clinicians and researchers.
  • Further development of robust validation models is necessary to translate computational findings into clinical applications.