Linked Life Data

16491074

Source:http://linkedlifedata.com/resource/pubmed/id/16491074

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
2
pubmed:dateCreated
2006-2-21
pubmed:abstractText
Oncogenesis and tumour progression are supported by alterations in cell signalling. Using flow cytometry, it is now possible to track and analyse signalling events in individual cancer cells. Data from this type of analysis can be used to create a network map of signalling in each cell and to link specific signalling profiles with clinical outcomes. This form of 'single-cell proteomics' can identify pathways that are activated in therapy-resistant cells and can provide biomarkers for cancer diagnosis and for determining patient prognosis.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Feb
pubmed:issn
1474-175X
pubmed:author
pubmed:issnType
Print
pubmed:volume
6
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
146-55
pubmed:meshHeading
pubmed:year
2006
pubmed:articleTitle
Mapping normal and cancer cell signalling networks: towards single-cell proteomics.
pubmed:affiliation
Department of Medicine, Oncology Division, Stanford University, Stanford, California 94305, USA.
pubmed:publicationType
Journal Article, Review