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

Epistasis Analysis01:09

Epistasis Analysis

Although Mendel chose seven unrelated traits in peas to study gene segregation, most traits involve multiple gene interactions that create a spectrum of phenotypes. When the interaction of various genes or alleles at different locations influences a phenotype, this is called epistasis. Epistasis often involves one gene masking or interfering with the expression of another (antagonistic epistasis). Epistasis often occurs when different genes are part of the same biochemical pathway. The...
Genetic Screens02:46

Genetic Screens

Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing  genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which result in visible changes...
Quantitative Aspects of Drug-Receptor Interaction01:30

Quantitative Aspects of Drug-Receptor Interaction

The receptor occupancy theory connects a drug's response to the number of occupied receptors. With higher drug concentrations, more receptors are occupied, leading to increased responses. The formation of drug-receptor complexes involves association and dissociation rates, which reach equilibrium when the forward and backward reactions are equal. The equilibrium association constant (Ka) and its inverse, the equilibrium dissociation constant (Kd), indicate drug affinity. Higher Ka and lower Kd...
Behavioral Genetics and Its Designs01:23

Behavioral Genetics and Its Designs

Behavior genetics explores how genetic inheritance influences human behavior. It focuses on how genes, passed from parents to offspring, contribute to the development of behavioral traits and tendencies. This branch of genetics seeks to understand the complex interplay between inherited genetic factors and environmental influences in shaping our behaviors.
The primary methodologies used in behavior genetics include family studies, twin studies, and adoption studies, each providing unique...

You might also read

Related Articles

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

Sort by
Same author

Widespread DNA off-targeting confounds RNA chromatin occupancy studies.

Nature biotechnology·2026
Same author

Pds5 regulates sister chromatid cohesion by controlling cohesin ATPase activity through the Eco1-Smc3 acetylation pathway.

Nucleic acids research·2026
Same author

A microRNA generated via lysosomal processing of ribosomal RNA suppresses proinflammatory responses.

Life science alliance·2026
Same author

Direct roles of long non-coding RNAs in transcription activation.

Nature structural & molecular biology·2026
Same author

<i>EPB41L4A-AS1</i> long noncoding RNA acts in both <i>cis</i>- and <i>trans</i>-acting transcriptional regulation and controls nucleolar biology.

eLife·2026
Same author

Nuclear import of malaria RNA rewires splicing in host immune cells.

Cell reports·2026
Same journal

E. coli prepares for starvation by dramatically remodeling its proteome in the first hours after loss of nutrients.

Molecular systems biology·2026
Same journal

Common xenobiotics modulate gut microbial responses to low‑calorie sweeteners in vitro.

Molecular systems biology·2026
Same journal

ParTIpy: a scalable framework for archetypal analysis and Pareto task inference.

Molecular systems biology·2026
Same journal

Quantitative interactome mapping of skeletal muscle insulin resistance.

Molecular systems biology·2026
Same journal

Interpretable multi-omics integration across mixed-order tensors with MANTRA.

Molecular systems biology·2026
Same journal

To cleave or not to cleave: a systemic evaluation of DSS versus DSSO for cross-linking mass spectrometry analysis.

Molecular systems biology·2026
See all related articles

Related Experiment Video

Updated: Jul 3, 2026

Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays
14:06

Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays

Published on: November 12, 2012

From E-MAPs to module maps: dissecting quantitative genetic interactions using physical interactions.

Igor Ulitsky1, Tomer Shlomi, Martin Kupiec

  • 1School of Computer Science, Tel Aviv University, Ramat Aviv, Israel.

Molecular Systems Biology
|July 17, 2008
PubMed
Summary
This summary is machine-generated.

Researchers developed a new method to analyze genetic interactions (GIs) and physical interactions in yeast. This approach helps uncover functional modules involved in chromosomal biology and gene function.

More Related Videos

Mapping Mammalian 3D Genome Interactions with Micro-C-XL
11:41

Mapping Mammalian 3D Genome Interactions with Micro-C-XL

Published on: November 3, 2023

Related Experiment Videos

Last Updated: Jul 3, 2026

Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays
14:06

Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays

Published on: November 12, 2012

Mapping Mammalian 3D Genome Interactions with Micro-C-XL
11:41

Mapping Mammalian 3D Genome Interactions with Micro-C-XL

Published on: November 3, 2023

Area of Science:

  • Genetics
  • Systems Biology
  • Computational Biology

Background:

  • High-throughput technologies enable large-scale quantification of genetic interactions (GIs) in Saccharomyces cerevisiae.
  • Interpreting complex GI data is challenging and benefits from integrating complementary data types.
  • Understanding gene function requires analyzing interactions within biological networks.

Purpose of the Study:

  • To develop a novel methodology for integrating genetic and physical interaction data.
  • To identify functional modules related to chromosomal biology in yeast.
  • To investigate relationships among identified functional modules and elucidate gene/module function.

Main Methods:

  • Developed a computational method to jointly analyze genetic and physical interaction data.
  • Applied the method to Saccharomyces cerevisiae interaction datasets.
  • Constructed a network map of functional modules.

Main Results:

  • Identified a collection of functional modules associated with chromosomal biology.
  • Revealed relationships and interconnections between these functional modules.
  • Demonstrated the utility of the integrated approach for functional elucidation.

Conclusions:

  • The integration of genetic and physical interaction data provides a powerful approach for biological network analysis.
  • The identified functional modules offer insights into chromosomal biology in yeast.
  • This methodology aids in understanding the function of individual genes and larger functional modules.