The browser you are using is not supported by this website. All versions of Internet Explorer are no longer supported, either by us or Microsoft (read more here: https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Please use a modern browser to fully experience our website, such as the newest versions of Edge, Chrome, Firefox or Safari etc.

Dynamic covariation between gene expression and proteome characteristics.

Author

  • Mansour Taghavi Azar Sharabiani
  • Markku Siermala
  • Tommi O Lehtinen
  • Mauno Vihinen

Summary, in English

Cells react to changing intra- and extracellular signals by dynamically modulating complex biochemical networks. Cellular responses to extracellular signals lead to changes in gene and protein expression. Since the majority of genes encode proteins, we investigated possible correlations between protein parameters and gene expression patterns to identify proteome-wide characteristics indicative of trends common to expressed proteins.

Publishing year

2005

Language

English

Publication/Series

BMC Bioinformatics

Volume

6

Document type

Journal article

Publisher

BioMed Central (BMC)

Topic

  • Bioinformatics and Systems Biology

Keywords

  • Proteome: classification
  • Oligonucleotide Array Sequence Analysis: methods
  • Lymphocyte Activation: genetics
  • Information Storage and Retrieval: methods
  • Gene Expression Profiling: methods
  • Drosophila melanogaster: genetics
  • Computational Biology: methods
  • B-Lymphocytes: physiology
  • Cell Cycle: genetics
  • Saccharomyces cerevisiae: genetics
  • Sequence Analysis
  • Protein: methods
  • Signal Transduction: genetics
  • T-Lymphocytes: physiology

Status

Published

ISBN/ISSN/Other

  • ISSN: 1471-2105