Linked Life Data

15103251

Source:http://linkedlifedata.com/resource/pubmed/id/15103251

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
3
pubmed:dateCreated
2004-4-22
pubmed:abstractText
Successful analysis of the pathophysiology of rheumatoid arthritis requires the functional understanding of interactions between different cell types and the cell matrix, intracellular signaling pathways, as well as between cartilage, bone, and synovium in rheumatoid arthritis. During the review period, molecular biology has provided and used a growing number of tools to screen the genome such as gene and protein chips, haplotype analysis, and single nucleotide polymorphism analysis, resulting in various novel findings with considerable impact on the overall understanding of rheumatoid arthritis.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
May
pubmed:issn
1040-8711
pubmed:author
pubmed:issnType
Print
pubmed:volume
16
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
238-45
pubmed:dateRevised
2005-11-16
pubmed:meshHeading
pubmed:year
2004
pubmed:articleTitle
Functional genomics of fibroblasts.
pubmed:affiliation
Department of Internal Medicine I, University of Regensburg, D-93042 Regensburg, Germany. ulf.mueller-ladner@klinik.uni-regensburg.de
pubmed:publicationType
Journal Article, Review