Dynamic covariation between gene expression and proteome characteristics.
Sharabiani, Mansour Taghavi Azar ; Siermala, Markku ; Lehtinen, Tommi O and Vihinen, Mauno LU
(2005)
In BMC Bioinformatics
6.
- 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.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/3635387
- author
- Sharabiani, Mansour Taghavi Azar
; Siermala, Markku
; Lehtinen, Tommi O
and Vihinen, Mauno
LU
- publishing date
- 2005
- type
- Contribution to journal
- publication status
- published
- subject
- 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
- in
- BMC Bioinformatics
- volume
- 6
- article number
- 215
- publisher
- BioMed Central (BMC)
- external identifiers
-
- pmid:16131395
- scopus:25444447353
- ISSN
- 1471-2105
- DOI
- 10.1186/1471-2105-6-215
- language
- English
- LU publication?
- no
- id
- fbea7c5d-8516-4a62-bf88-884dc35ee2d4 (old id 3635387)
- alternative location
- http://www.ncbi.nlm.nih.gov/pubmed/16131395?dopt=Abstract
- date added to LUP
- 2016-04-04 09:41:37
- date last changed
- 2022-01-29 19:05:03
@article{fbea7c5d-8516-4a62-bf88-884dc35ee2d4,
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.}},
author = {{Sharabiani, Mansour Taghavi Azar and Siermala, Markku and Lehtinen, Tommi O and Vihinen, Mauno}},
issn = {{1471-2105}},
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}},
language = {{eng}},
publisher = {{BioMed Central (BMC)}},
series = {{BMC Bioinformatics}},
title = {{Dynamic covariation between gene expression and proteome characteristics.}},
url = {{http://dx.doi.org/10.1186/1471-2105-6-215}},
doi = {{10.1186/1471-2105-6-215}},
volume = {{6}},
year = {{2005}},
}