Linked Life Data

18155635

Source:http://linkedlifedata.com/resource/pubmed/id/18155635

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
2008-1-15
pubmed:abstractText
Microarrays are used to profile transcriptional activity, providing global cell biology insight. Particularly for plants, interpretation of transcriptional profiles is challenging because many genes have unknown functions. Furthermore, many plant gene sequences do not have clear homologs in other model organisms. Fortunately, over the past five years, various tools that assist plant scientists have been developed. Here, we evaluate the currently available in silico tools for reconstruction of cellular (metabolic, biochemical and signal transduction) pathways based on plant gene expression datasets. Furthermore, we show how expression-profile comparison at the level of these various cellular pathways contributes to the postulation of novel hypotheses which, after experimental verification, can provide further insight into decisive elements that have roles in cellular processes.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Jan
pubmed:issn
1360-1385
pubmed:author
pubmed:issnType
Print
pubmed:volume
13
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
44-50
pubmed:meshHeading
pubmed:year
2008
pubmed:articleTitle
Challenges in plant cellular pathway reconstruction based on gene expression profiling.
pubmed:affiliation
Nijmegen Centre for Molecular Life Sciences, UMC Radboud University, Geert Grooteplein 26-28, 6525 GA Nijmegen, the Netherlands.
pubmed:publicationType
Journal Article, Review, Research Support, Non-U.S. Gov't