Dynamic covariation between gene expression and proteome characteristics.

Research output: Contribution to journalArticle

Abstract

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.

Details

Authors
  • Mansour Taghavi Azar Sharabiani
  • Markku Siermala
  • Tommi O Lehtinen
  • Mauno Vihinen
External organisations
  • External Organization - Unknown
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • 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
Original languageEnglish
Article number215
JournalBMC Bioinformatics
Volume6
Publication statusPublished - 2005
Publication categoryResearch
Peer-reviewedYes
Externally publishedYes