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 Experiment Videos

Confirmation of human protein interaction data by human expression data.

Andreas Hahn1, Jörg Rahnenführer, Priti Talwar

  • 1Max-Planck-Institute for Informatics, Stuhlsatzenhausweg 85, D-66123 Saarbrücken, Germany. andreas.hahn@mpi-sb.mpg.de

BMC Bioinformatics
|May 10, 2005
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Long-Term Dynamics of CSF and Serum Neurofilament Light Chain in Adult Patients With 5q Spinal Muscular Atrophy Treated With Nusinersen.

Neurology·2025
Same author

Serum chitotriosidase-1 (CHIT1) as candidate biomarker for mitochondriopathies.

Journal of neurology·2025
Same author

Dietary selective effects manifest in the human gut microbiota from species composition to strain genetic makeup.

Cell reports·2025
Same author

Bioavailability of EPA and DHA in humans - A comprehensive review.

Progress in lipid research·2024
Same author

Dietary selective effects manifest in the human gut microbiota from species composition to strain genetic makeup.

Cell reports·2024
Same author

User preference and patient benefits of a novel energy storing and return foot: A randomized, cross-over clinical trial.

Prosthetics and orthotics international·2024

Gene expression levels for interacting proteins are significantly more correlated in humans than random protein pairs. This suggests coordinated gene expression is crucial for protein interactions, extending findings from yeast to human biology.

Area of Science:

  • Genomics
  • Systems Biology
  • Bioinformatics

Background:

  • Microarray technology enables simultaneous measurement of thousands of gene expression levels.
  • Gene expression levels of interacting proteins show stronger correlations in Saccharomyces cerevisiae compared to non-interacting proteins.

Purpose of the Study:

  • To investigate if the observed correlation in gene expression for interacting proteins extends to the human genome.
  • To quantitatively assess the relationship between expression levels of genes encoding interacting proteins and random protein pairs in humans.

Main Methods:

  • Analysis of 1369 interacting human protein pairs.
  • Utilized human gene expression data from 155 arrays.
  • Compared correlation of expression levels between interacting protein pairs and random protein pairs.

Related Experiment Videos

Main Results:

  • Demonstrated a statistically significant higher correlation in expression levels for genes encoding interacting proteins compared to random protein pairs.
  • Provided evidence that genes encoding proteins within the same Gene Ontology (GO) class exhibit correlated expression levels.

Conclusions:

  • The findings support the hypothesis that the production scales of interacting proteins are linked, ensuring availability for efficient interaction.
  • Further research is needed to elucidate the underlying biological mechanisms driving this correlated gene expression in humans.