Linked Life Data

18694389

Source:http://linkedlifedata.com/resource/pubmed/id/18694389

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
7
pubmed:dateCreated
2008-8-12
pubmed:abstractText
High-content analysis (HCA) is a term used to describe techniques involving multiplexed analysis of fluorescent markers to measure multiple cellular responses to biological stimuli or drug treatment. HCA is usually based on automated microscopy or related technologies, and its value lies in providing multiparametric information on single cells within a population. During the last decade, several HCA approaches have been developed and applied to assess cellular mechanism of action of pharmacologically relevant compounds identified through biochemical screening or similar in vitro methods. With automation and instrument development, these approaches have evolved to the extent that the technique is now routinely used in screening applications, including primary HTS on compound collections. Here, we review the field and discuss in particular the application of HCA to the discovery of small molecule inhibitors targeting kinases which are implicated in Oncology.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Aug
pubmed:issn
1386-2073
pubmed:author
pubmed:issnType
Print
pubmed:volume
11
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
523-36
pubmed:meshHeading
pubmed:year
2008
pubmed:articleTitle
High-content analysis of kinase activity in cells.
pubmed:affiliation
Department of Cell Biology, Oncology Business Unit, Nerviano Medical Sciences Srl, Nerviano, Milano, Italy. fabio.gasparri@nervianoms.com
pubmed:publicationType
Journal Article, Comparative Study, Review