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

Non-LTR Retrotransposons03:18

Non-LTR Retrotransposons

13.2K
As the name suggests, non-LTR retrotransposons lack the long terminal repeats characteristic of the LTR retrotransposons. Additionally, both LTR and non-LTR retrotransposons use distinct mechanisms of mobilization. Non-LTR retrotransposons are further divided into two classes - Long interspersed nuclear elements (LINEs) and short interspersed nuclear elements (SINEs), both of which occur abundantly in most mammals, including humans. Some of the active non-LTR retrotransposons in humans are L1...
13.2K
Mechanisms of Retrovirus-induced Cancers01:51

Mechanisms of Retrovirus-induced Cancers

6.9K
Retroviruses are RNA viruses that have been shown to cause cancers in diverse species, including chickens, mice, cats, and monkeys. The RNA genomes of these viruses are first reverse-transcribed into single and then double-stranded DNA (dsDNA) copies. This dsDNA called proviral DNA then integrates into the host genome. Subsequently, the host cell transcribes the proviral DNA in concert with the chromosomal DNA. This leads to the production of viral RNA and proteins that assemble at the host...
6.9K
LTR Retrotransposons03:08

LTR Retrotransposons

19.4K
LTR retrotransposons are class I transposable elements with long terminal repeats flanking an internal coding region. These elements are less abundant in mammals compared to other class I transposable elements. About 8 percent of human genomic DNA comprises LTR retrotransposons. Some of the common examples of LTR retrotransposons are Ty elements in yeast and Copia elements in Drosophila.
The internal coding region of LTR retrotransposons and their mechanism of transposition closely resembles a...
19.4K
Rous Sarcoma Virus (RSV) and Cancer01:03

Rous Sarcoma Virus (RSV) and Cancer

6.2K
Rous Sarcoma virus or RSV was discovered by F. Peyton Rous in the year 1911 as a filterable transmissible agent that could cause tumors in chickens. He won a Nobel Prize for this discovery in 1966. His experiments clearly demonstrated that some cancers could be caused by infectious agents and led to the discovery of many more cancer-causing viruses in animals as well as humans.
RSV is a retrovirus that contains two copies of a plus-strand  RNA genome. Its genome consists of four main open...
6.2K
The Retinoblastoma Gene01:20

The Retinoblastoma Gene

4.7K
Tumor suppressor genes are normal genes that can slow down cell division, repair DNA mistakes, or program the cells for apoptosis in case of irreparable damage. Hence, they play an essential role in preventing the proliferation of damaged cells.
The first-ever tumor suppressor gene called Rb was identified in retinoblastoma - a rare eye tumor in children. In inherited forms of the disease, a child inherits one defective copy of the Rb gene, which predisposes them to retinoblastoma. However,...
4.7K
Retroviruses02:33

Retroviruses

14.6K
Retroviruses and retrotransposons both insert copies of their genetic elements into the genome of the host cell. Thus, the viral genes are passed on when the host genome is replicated or translated. A typical retroviral DNA sequence contains 3-4 genes that encode the different proteins required for its structural assembly and function as a molecular parasite. This DNA is transcribed into a single mRNA, which is very similar in structure to conventional mRNAs, i.e., it is capped at the 5’...
14.6K

You might also read

Related Articles

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

Sort by
Same author

Separate transcription and splicing gene networks are linked and coordinated by the pRb-E2F pathway.

Nucleic acids research·2026
Same author

Modeling Floral Induction in the Narrow-Leafed Lupin <i>Lupinus angustifolius</i> Under Different Environmental Conditions.

Plants (Basel, Switzerland)·2025
Same author

Amyloid Fibrils of the s36 Protein Modulate the Morphogenesis of <i>Drosophila melanogaster</i> Eggshell.

International journal of molecular sciences·2024
Same author

Human Pluripotent Stem Cell Colony Migration Is Related to Culture Environment and Morphological Phenotype.

Life (Basel, Switzerland)·2024
Same author

Modeling Chickpea Productivity with Artificial Image Objects and Convolutional Neural Network.

Plants (Basel, Switzerland)·2024
Same author

Sustained cancer-relevant alternative RNA splicing events driven by PRMT5 in high-risk neuroblastoma.

Molecular oncology·2024

Related Experiment Video

Updated: Jan 16, 2026

Identification and Characterization of Metastatic Factors by Gene Transfer into the Novel RIP-Tag; RIP-tva Murine Model
09:03

Identification and Characterization of Metastatic Factors by Gene Transfer into the Novel RIP-Tag; RIP-tva Murine Model

Published on: October 16, 2017

9.1K

Bioenergetic Model of Retrotransposon Activity in Cancer Cells.

Sergei Pavlov1, Maria Duk2, Vitaly V Gursky1,2

  • 1Mathematical Biology and Bioinformatics Laboratory, Peter the Great Saint Petersburg Polytechnic University, Saint Petersburg 195251, Russia.

Life (Basel, Switzerland)
|September 27, 2025
PubMed
Summary
This summary is machine-generated.

Increased retrotransposon activity in cancer cells can deplete cellular energy. This study models how activating these elements, like LINE-1, may trigger cancer cell death by reducing ATP levels, offering a potential therapeutic strategy.

Keywords:
bioenergetic modelcell deathenergy balanceretrotransposons

More Related Videos

Analysis of LINE-1 Retrotransposition at the Single Nucleus Level
11:52

Analysis of LINE-1 Retrotransposition at the Single Nucleus Level

Published on: April 23, 2016

8.8K
RNA Next-Generation Sequencing and a Bioinformatics Pipeline to Identify Expressed LINE-1s at the Locus-Specific Level
11:04

RNA Next-Generation Sequencing and a Bioinformatics Pipeline to Identify Expressed LINE-1s at the Locus-Specific Level

Published on: May 19, 2019

10.4K

Related Experiment Videos

Last Updated: Jan 16, 2026

Identification and Characterization of Metastatic Factors by Gene Transfer into the Novel RIP-Tag; RIP-tva Murine Model
09:03

Identification and Characterization of Metastatic Factors by Gene Transfer into the Novel RIP-Tag; RIP-tva Murine Model

Published on: October 16, 2017

9.1K
Analysis of LINE-1 Retrotransposition at the Single Nucleus Level
11:52

Analysis of LINE-1 Retrotransposition at the Single Nucleus Level

Published on: April 23, 2016

8.8K
RNA Next-Generation Sequencing and a Bioinformatics Pipeline to Identify Expressed LINE-1s at the Locus-Specific Level
11:04

RNA Next-Generation Sequencing and a Bioinformatics Pipeline to Identify Expressed LINE-1s at the Locus-Specific Level

Published on: May 19, 2019

10.4K

Area of Science:

  • Molecular Biology
  • Bioenergetics
  • Computational Biology

Background:

  • Retrotransposons, mobile genetic elements, are reactivated in cancer cells.
  • This reactivation increases cellular energy demands, potentially impacting ATP levels.
  • Altered energy balance is a hallmark of cancer and a target for therapy.

Purpose of the Study:

  • To develop a mathematical model of cellular energy balance incorporating retrotransposon activity.
  • To investigate the impact of retrotransposon dynamics on cellular ATP levels.
  • To identify key parameters influencing energy consumption and potential cell death triggers.

Main Methods:

  • Developed a mathematical model simulating cellular energy dynamics.
  • Included parameters for ATP, active retrotransposons (LINE-1, SINE), mRNA, and protein concentrations.
  • Estimated model parameters using literature data and numerical optimization.

Main Results:

  • Identified a stable state with low retrotransposon activity.
  • Sensitivity analysis revealed LINE-1 deactivation rate and transcription rate as critical.
  • Perturbing these parameters reduced free ATP to below 30% of reference levels.

Conclusions:

  • Increased retrotransposon activity significantly impacts cellular energy balance.
  • This heightened energy load, particularly from LINE-1, can induce cancer cell death.
  • Targeting retrotransposon activation presents a potential novel anticancer therapeutic avenue.