Dynamic covariation between gene expression and proteome characteristics.
Author
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
Links
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