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

Treatment Resistant Cancers02:56

Treatment Resistant Cancers

3.9K
Cancer is the second leading cause of death in the United States. A cancer cell is genetically unstable and hence can mutate faster. They can also modify their microenvironment and escape immune surveillance. The difficulties in treating cancer are further compounded by the emergence of rapid resistance to anticancer drugs. The most common ways to attain resistance in cancer cells include alteration in drug transport and metabolism, modification of drug target, elevated DNA damage response, or...
3.9K
Development of Antibiotic Resistance01:30

Development of Antibiotic Resistance

2.1K
Antibiotic resistance is a major public health concern that arises when bacteria evolve mechanisms to withstand the effects of antibiotic treatments. This resistance can be intrinsic, acquired through genetic mutations, or transferred between bacteria via horizontal gene transfer. The development of antibiotic resistance poses significant challenges in treating bacterial infections and necessitates ongoing research to develop new therapeutic strategies.Intrinsic resistance occurs when bacterial...
2.1K
Mechanism of Antibiotic Resistance in MRSA01:25

Mechanism of Antibiotic Resistance in MRSA

165
Antibiotic resistance in bacteria arises when microorganisms evolve the ability to withstand drugs designed to kill them or inhibit their growth, rendering once-effective treatments useless. This phenomenon, driven by genetic change and selection under antibiotic exposure, poses a profound threat to modern medicine. Mechanisms include drug-inactivating enzymes (e.g., β-lactamases), efflux pumps that eject antibiotics, mutations altering antibiotic targets, decreased drug uptake, and...
165
Treatment Resistent Cancers02:56

Treatment Resistent Cancers

1.5K
1.5K
Antibiotic Selection00:57

Antibiotic Selection

62.4K
Overview
62.4K
Clinical Significance of Antibiotic Resistance01:25

Clinical Significance of Antibiotic Resistance

66
Methicillin-resistant Staphylococcus aureus (MRSA) presents a critical public health threat, arising from its capacity to resist β-lactam antibiotics due to acquisition of the mecA gene within the staphylococcal cassette chromosome mec (SCCmec). This gene encodes penicillin-binding protein 2a (PBP2a), which impairs binding efficacy of methicillin and other β-lactams. MRSA has evolved into distinct clonal lineages impacting humans and animals alike, reinforcing its significance within...
66

You might also read

Related Articles

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

Sort by
Same author

General prediction of T cell receptor antigen specificity from sequence using AlphaFold 3.

bioRxiv : the preprint server for biology·2026
Same author

Hyperplasia Functions as a Link between Obesity and Cancer.

Cancer research·2026
Same author

The future of mathematical oncology in the age of AI.

NPJ systems biology and applications·2026
Same author

Radiomics to predict high risk features in intraocular retinoblastoma.

Eye (London, England)·2025
Same author

Functional characterization of all <i>CDKN2A</i> missense variants and comparison to in silico models of pathogenicity.

eLife·2025
Same author

A Blood-Based Assay for Detection of Patients with Advanced Adenomas.

Cancer research communications·2025
Same journal

Mammalian Respiratory Chain Complex Assemblies and Their Links to Mitochondria Stress-Induced Human Diseases.

Advances in experimental medicine and biology·2026
Same journal

Enzyme Assemblies in Nucleotide Metabolism: Structure, Regulation, and Disease Implications.

Advances in experimental medicine and biology·2026
Same journal

The Pyruvate Dehydrogenase Complex: A 90-Year-Old Enigma Shaping the Future of Structural Enzymology.

Advances in experimental medicine and biology·2026
Same journal

Regulation of the Anti-termination RNA Transcription Complex by Lon-Mediated Lambda N Degradation.

Advances in experimental medicine and biology·2026
Same journal

PCNA Macromolecular Complexes: PCNA Serves as a Molecular Hub Regulating Multiple Cellular Processes Inside and Outside of the Nucleus.

Advances in experimental medicine and biology·2026
Same journal

Dynamic Assemblies in Genome Maintenance.

Advances in experimental medicine and biology·2026
See all related articles

Related Experiment Video

Updated: Apr 19, 2026

Using RNA-sequencing to Detect Novel Splice Variants Related to Drug Resistance in In Vitro Cancer Models
09:58

Using RNA-sequencing to Detect Novel Splice Variants Related to Drug Resistance in In Vitro Cancer Models

Published on: December 9, 2016

14.5K

Drug resistance.

Cristian Tomasetti1

  • 1Johns Hopkins School of Medicine, 550 North Broadway, Suite 1103, Baltimore, MD 21205, USA, ctomasez@johnshopkins.edu.

Advances in Experimental Medicine and Biology
|December 7, 2014
PubMed
Summary
This summary is machine-generated.

Drug resistance in blood cancer is a major challenge. This chapter reviews mathematical models focusing on leukemic stem cells to understand and combat long-term drug resistance, particularly in chronic myeloid leukemia.

More Related Videos

Implementation of In Vitro Drug Resistance Assays: Maximizing the Potential for Uncovering Clinically Relevant Resistance Mechanisms
08:46

Implementation of In Vitro Drug Resistance Assays: Maximizing the Potential for Uncovering Clinically Relevant Resistance Mechanisms

Published on: December 9, 2015

11.3K
Looking for Driver Pathways of Acquired Resistance to Targeted Therapy: Drug Resistant Subclone Generation and Sensitivity Restoring by Gene Knock-down
08:59

Looking for Driver Pathways of Acquired Resistance to Targeted Therapy: Drug Resistant Subclone Generation and Sensitivity Restoring by Gene Knock-down

Published on: December 11, 2017

7.7K

Related Experiment Videos

Last Updated: Apr 19, 2026

Using RNA-sequencing to Detect Novel Splice Variants Related to Drug Resistance in In Vitro Cancer Models
09:58

Using RNA-sequencing to Detect Novel Splice Variants Related to Drug Resistance in In Vitro Cancer Models

Published on: December 9, 2016

14.5K
Implementation of In Vitro Drug Resistance Assays: Maximizing the Potential for Uncovering Clinically Relevant Resistance Mechanisms
08:46

Implementation of In Vitro Drug Resistance Assays: Maximizing the Potential for Uncovering Clinically Relevant Resistance Mechanisms

Published on: December 9, 2015

11.3K
Looking for Driver Pathways of Acquired Resistance to Targeted Therapy: Drug Resistant Subclone Generation and Sensitivity Restoring by Gene Knock-down
08:59

Looking for Driver Pathways of Acquired Resistance to Targeted Therapy: Drug Resistant Subclone Generation and Sensitivity Restoring by Gene Knock-down

Published on: December 11, 2017

7.7K

Area of Science:

  • Hematology
  • Cancer Biology
  • Mathematical Oncology

Background:

  • Drug resistance limits cancer treatment options, especially in blood cancers.
  • Cancer stem cells are critical drivers of long-term therapeutic resistance.
  • Understanding resistance dynamics is crucial for developing effective therapies.

Purpose of the Study:

  • To review mechanisms and mathematical models of drug resistance in blood cancer.
  • To highlight the role of cancer stem cells in developing long-term resistance.
  • To present a mathematical model for leukemic stem-like cell dynamics.

Main Methods:

  • Review of chemotherapeutic agents and resistance mechanisms.
  • Analysis of existing mathematical models of drug resistance.
  • Description of a novel mathematical model for leukemic stem-like cell dynamics.

Main Results:

  • Drug resistance is a fundamental challenge in blood cancer treatment.
  • Leukemic stem-like cells are key to understanding and overcoming long-term resistance.
  • Mathematical modeling provides insights into resistance dynamics.

Conclusions:

  • Mathematical models focusing on leukemic stem cells are essential for understanding drug resistance.
  • The presented model offers a framework for studying resistance in chronic myeloid leukemia.
  • Further research into stem cell dynamics can lead to improved cancer therapies.