Linked Life Data

16835688

Source:http://linkedlifedata.com/resource/pubmed/id/16835688

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
8
pubmed:dateCreated
2006-7-19
pubmed:abstractText
Proteomic strategies generally result in rather descriptive outcomes. Although proteomic patterns may lead to understanding of cellular function or failure, they do not provide insights into cellular mechanisms of normal physiology or molecular mechanisms of disease. The integration of single events or patterns into complex biological processes and signaling networks must be functionally validated by studying these processes in a dynamic physiological context. Effective methodologies, applied at the level of intact cells and model organisms that monitor their function, topology and interaction of proteins are necessary and essential. Reverse genetic strategies can greatly advance the understanding of patterns identified through proteomic analysis. RNAi as an accessible method for routine functional analysis of cells and whole model organisms represents a quantum leap in revolutionizing reverse genetics. This paper aims at describing an integrated workflow linking proteome-based discovery to molecular analysis of single genes and proteins by RNAi, potentially contributing to the advanced understanding of molecular mechanisms in neurodegenerative disease, including Parkinson's disease.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Aug
pubmed:issn
0300-9564
pubmed:author
pubmed:issnType
Print
pubmed:volume
113
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
1033-40
pubmed:meshHeading
pubmed:year
2006
pubmed:articleTitle
Reverse genetics for proteomics: from proteomic discovery to scientific content.
pubmed:affiliation
Institute of Human Genetics GSF, National Research Center for Environment and Health, Neuherberg, Germany.
pubmed:publicationType
Journal Article, Review, Research Support, Non-U.S. Gov't